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<> cognitive radio systems (9)

Dr. Hesham ElSawy recognized as Exemplary Reviewer by IEEE Transactions on Communications

1 min read ·
Dr. Hesham ElSawy was recognized by the IEEE Transactions on Communications (TCOM) as an Exemplary Reviewer. Less than 2% of all IEEE TCOM Reviewers in 2015 got this recognition.

Prof. Alouini selected as an IEEE Communications Society Distinguished Lecturer for 2016 and 2017

1 min read ·
Congratulations to Prof. Alouini for being selected to give a Distinguished Lecture for 2016 and 2017 in IEEE Communications Society

Our paper Hybrid Cognitive Engine for Radio Systems Adaptation has been accepted for publication at IEEE CCNC 2017 Proceedings

1 min read ·
Our paper "Hybrid Cognitive Engine for Radio Systems Adaptation" has been accepted for publication at IEEE CCNC 2017 Proceedings.

Our paper Supervised Cognitive System: A New Vision for Cognitive Engine Design in Wireless Networks has been accepted for publication at IEEE CCNC 2018 Proceedings

1 min read ·
Our paper "Supervised Cognitive System: A New Vision for Cognitive Engine Design in Wireless Networks" has been accepted for publication at IEEE CCNC 2018 Proceedings.

Marie Sklodowska-Curie Fellowships in Photonics @ CEMSE – call 4 - 2018

1 min read ·
A group of professors working in the area of photonics at KAUST, most of them with CEMSE Division, offer hosting of outgoing Marie Sklodowska-Curie Fellowships in their research groups within the EU H2020 COFUND Postdoctoral Fellowship Programme MULTIPLY.

A breath of fresh information to help diagnosis

2 min read ·
A communications concept could pinpoint a person infected with a deadly, contagious virus in the middle of a crowded airport.

Thang Nguyen Quang

Ph.D. Student (former), Electrical and Computer Engineering
Thang Nguyen has recently joined the Sensors group as an Ms/PhD student. Education and early career Thang Nguyen received his BE in Electronics & Communications Engineering (honor program) from HCMUT in 2017. He had served as a research assistant at RFIC Lab, HCMUT for a year before joining KAUST. Research Interests Thang is interested in working in RF energy harvesting and Wireless Sensors Networks. Areas of Expertise and Research Interests RF energy harvesting Wireless Sensor Networks Cognitive Radios Education Profile BE in Electronics & Communications Engineering (honor program), 2017

Mohamed-Slim Alouini

Al-Khawarzmi Distinguished Professor, Electrical and Computer Engineering
KAUST is a fertile place for any researcher who wants to develop rigorous computational and engineering methods to solve real-world problems. Its unique support of science allows the most advanced scientific revolution.

Lokman Sboui

Lokman was a ​Ph.D. student at King Abdullah University of Science and Technology (KAUST) from June 2013-December 2017. Then, he joined Ecole de Technologie Supérieure (ETS), Quebec as a postdoctoral research fellow after graduation. Scientific and Professional Memberships Institute of Electrical and Electronics Engineers (IEEE). The reviewer of many papers in IEEE transactions and conferences. Tunisian Federation of Equestrian. Tunisian Federation of Subaquatic Activities.​ Education Profile Ph.D. in Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal
<> combinatorial optimization (9)

Learning under Limited Information across Federated, Multi-Agent, and LLM Settings

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B3 R5220

This dissertation studies learning under structural information constraints across three major paradigms: federated learning, cooperative multi-agent reinforcement learning, and black-box optimization of large language models.

KAUST researchers publish new book on decision rule systems

1 min read ·
KAUST Postdoctoral Research Fellows Kerven Durdymyradov and Azimkhon Ostonov, along with Professor Mikhail Moshkov, have published a new book with Springer titled "Transforming Decision Rule Systems into Decision Trees: Syntactic Approach." The book is devoted to the transformation of decision rule systems into deterministic and nondeterministic decision trees that recognize the properties of these systems. It continues the development of the syntactic approach to the study of the transformation problem, which assumes the input data is unknown and only a system of decision rules exists to be

Professor Mikhail Moshkov’s new book published by Springer

1 min read ·
Professor Mikhail Moshkov’s new book, “Computation Trees: A Generalization of Decision Trees,” has been published by Springer. Moshkov’s book is devoted to the study of deterministic and nondeterministic computation trees. Computation trees are a natural generalization of decision trees: in addition to the one-place predicate-type operations (attributes) used in decision trees, computation trees can use multi-place predicate and function operations. These models arise in areas such as combinatorial optimization, computational geometry, and classification or prediction tasks, particularly when
Decision Trees Versus Systems of Decision Rules

New book by KAUST Ph.D. students Kerven Durdymyradov, Azimkhon Ostonov and Professor Mikhail Moshkov published by Springer

1 min read ·
New book by Ph.D. students Kerven Durdymyradov, Azimkhon Ostonov, and Professor Mikhail Moshkov explores decision trees and rule systems using rough set theory.

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining

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KAUST

Dynamic programming is an efficient technique to solve optimization problems. It is based on decomposing the initial problem into simpler ones and solving these sub-problems beginning from the simplest ones. A conventional dynamic programming algorithm returns an optimal object from a given set of objects. We developed extensions of dynamic programming which allow us (i) to describe the set of objects under consideration, (ii) to perform a multi-stage optimization of objects relative to different criteria, (iii) to count the number of optimal objects,(iv) to find the set of Pareto optimal points for the bi-criteria optimization problem, and (v) to study the relationships between two criteria.

Dynamic Programming Multi-Objective Combinatorial Optimization

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KAUST

In this dissertation, we consider extensions of dynamic programming for combinatorial optimization. We introduce two exact multi-objective optimization algorithms: the multi-stage optimization algorithm that optimizes the problem relative to the ordered sequence of objectives (lexicographic optimization) and the bi-criteria optimization algorithm that simultaneously optimizes the problem relative to two objectives (Pareto optimization).

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining - 2022-10-04

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B9 L2 R2322

Dynamic programming is an efficient technique to solve optimization problems. It is based on decomposing the initial problem into simpler ones and solving these sub-problems beginning from the simplest ones. A conventional dynamic programming algorithm returns an optimal object from a given set of objects.

New Book "Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining" of Professor Moshkov and His Former Students is Published by Springer

1 min read ·
A new book - "Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining" by Hassan AbouEisha, Talha Amin, Igor Chikalov, Shahid Hussain, and Mikhail Moshkov - was recently published by Springer.

Salma Kharrat

Ph.D. Student, Computer Science
<> Computer architecture (9)

Improving chip design on every level

1 min read ·
Microchip designs can be streamlined by incorporating both high-level concepts and low-level wiring details in the same modelling framework.

Architectural Defenses against Indirect Threats

Yasser Shalabi, Graduate Student, Computer Science, University of Illinois Urbana-Champaign

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B9 L2 H2

The potential of indirect execution attacks – e.g. Return-Oriented-Programming and Transient-Execution based Side-channels – threaten all modern computing platforms. Standard security policies are unable to eliminate these threats. What is the role of hardware in mitigating these threats? Why are the latest processor designs no longer proactively eliminating threats? In this talk, we will explore these questions and reconsider the role of hardware in securing systems. I will present Record-and-Replay as a fundamental solution that can enable a hardware-software co-design that can strengthen the security of modern computing platforms.

Rawan Naous: a student with a knack for success

1 min read ·
"KAUST is a unique place!" said Rawan. "The university has an interdisciplinary environment that offers great opportunities both at academic and social level. Working at KAUST has made possible improving my professional skills while raising a family, a mission impossible for most women out there."

Suhaib Fahmy

Associate Professor, Computer Science
Professor Fahmy’s research explores novel ways to integrate accelerated computation and communication to improve computing systems' efficiency, latency, and security.

Rawan Naous

Rawan Naous graduated with a Ph.D. degree in Electrical engineering under the supervision of Professor Khaled Nabil Salama. Research Interest Rawan's research interests include Mixed Analog-Digital IC Design, System on Chip solutions, wireless communications networks, Computer Architecture, Integrated System Technology and Design, HW/SW Co-design, FPGA based system modeling.

Jinane Bazzi

Jian Weng

Assistant Professor, Computer Science
Jian Weng, an assistant professor of computer science at KAUST, is actively working on improving computer systems' energy efficiency and performance by reforming software and hardware interfaces.

Elmootazbellah Elnozahy

Professor (former), Computer Science
Elmootazbellah (Mootaz) Elnozahy is a renowned computer scientist who has filed, individually and with colleagues, 58 U.S. patents. He has successfully secured research and development funding grants of ~$320M.

Ahmad Tariq Sheikh

Postdoctoral Research Fellow, Computer Science
<> Computer simulations (9)

Simulation of Metasurfaces Described by Generalized Sheet Transition Conditions Using Integral Equations

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B9 L2 R2325

This seminar outlines the development of computationally efficient integral equation solvers that simulate complex multiscale metasurfaces by modeling their physical geometries as infinitesimally thin sheets governed by generalized sheet transition conditions, thereby avoiding the need for full volumetric discretization.

Success and Challenges of Computational Fluid Dynamics for Engineering Applications

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B1 L3 R3119

The talk will introduce an efficient, accurate, and robust Computational Fluid Dynamics (CFD) software package utilizing a finite-volume algorithm on structured multiblock grids to simulate challenging three-dimension unsteady turbulent flows for multi-disciplinary applications like aerodynamics, aeroelasticity, and combustion, showcasing its successes and remaining challenges in large-eddy simulations for complex reactive flows.
kaust-mathematical-modeling-reaction-diffusion-biomedical-research

Bringing an old proof to modern problems

1 min read ·
A physically consistent and self-adaptive numerical modelling approach opens the door to more accurate and reliable computational simulations of clinical and biological processes.

Introduction to Computer Simulation - A short course - Lecture 2

Michal A. Mankowski, Assistant Professor, Erasmus School of Economics, Erasmus University Rotterdam, Netherlands

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B1 L4 R4102

This course aims to familiarize students with the Computer Simulation tools for complex problems. The course will introduce the basic concepts of computation through modeling and simulation that are increasingly being used in industry and academia. The basic concepts of Discrete Event Simulation will be introduced along with the reliable methods of random variate generation. Later in the course, the concept of simulation-based optimization will be discussed, introducing an overview of various optimization approaches. The example of simulation (and optimization) applied to design an optimal organ allocation policy in the US will be discussed. The last lecture will be devoted to the contemporary topics in simulation.

Introduction to Computer Simulation - A short course - Lecture 1

Michal A. Mankowski, Assistant Professor, Erasmus School of Economics, Erasmus University Rotterdam, Netherlands

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B1 L4 R4102

This course aims to familiarize students with the Computer Simulation tools for complex problems. The course will introduce the basic concepts of computation through modeling and simulation that are increasingly being used in industry and academia. The basic concepts of Discrete Event Simulation will be introduced along with the reliable methods of random variate generation. Later in the course, the concept of simulation-based optimization will be discussed, introducing an overview of various optimization approaches. The example of simulation (and optimization) applied to design an optimal organ allocation policy in the US will be discussed. The last lecture will be devoted to the contemporary topics in simulation.

Introduction to Computer Simulation - A short course - Lecture 3

Michal A. Mankowski, Assistant Professor, Erasmus School of Economics, Erasmus University Rotterdam, Netherlands

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B1 L4 R4102

This course aims to familiarize students with the Computer Simulation tools for complex problems. The course will introduce the basic concepts of computation through modeling and simulation that are increasingly being used in industry and academia. The basic concepts of Discrete Event Simulation will be introduced along with the reliable methods of random variate generation. Later in the course, the concept of simulation-based optimization will be discussed, introducing an overview of various optimization approaches. The example of simulation (and optimization) applied to design an optimal organ allocation policy in the US will be discussed. The last lecture will be devoted to the contemporary topics in simulation.

Energy efficiency on a roll

1 min read ·
Ultrathin films curve up into long, light and cost-effective heat-harvesting tubes for high-power generation.

Xiuxiu Ma

Guang An Ooi

Research Interests Guang develops systems for real-time wellbore casing inspection and 3D visualization. He constructs novel neural networks for electromagnetic inspection tools developed in conjunction with the MERGE team, which generates casing cross-sectional images from spatio-temporal data. In addition, Guang is interested in programming drilling simulators in Java and Python. Education Profile B.Sc., Aeronautics and Astronautics Engineering, National Cheng Kung University, Taiwan, 2017 M.Sc., Electrical Engineering, King Abdullah University of Science and Technology, Saudi Arabia, 2019
<> Cooperative communications (9)

Modelling on the Service of Cooperative Communications

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B1 L3 R3119

I will highlight the main contributions in the field of coded cooperative communications, where at first a study on the performance analysis of network-coded distributed coding schemes with different strategies for handling the relay-error propagation problem will be presented. Furthermore, a study proposing a relay selection scheme based on network-coded soft information relaying will be presented. The introducing of the Rayleigh-Gaussian model, which is applied to the forwarded relay soft symbols, have shown ability to give better performance in dealing with error propagation, and allowed us to give a tractable performance analysis of network-coded schemes under Rayleigh fading channels.

Sidrah Javed

Sidrah Javed is a Ph.D. candidate in Communication Theory Lab (CTL), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST). She is supervised by Professor Mohamed-Slim Alouini and co-supervised by Professor Basem Shihada. Education and Early Career Sidrah completed her M.S. in Electrical Engineering under the supervision of Professor Mohamed-Slim Alouini from KAUST in 2016. During her M.S. studies, she has actively participated in setting up the ProtoLab in KAUST Innovation Cluster as a Lab Intern. Sidrah has

Shuping Dang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Shuping Dang is a Postdoctoral Fellow working with Prof. Mohamed-Slim Alouini and Prof. Basem Shihada, Computer, Electrical and Mathematical Sciences & Engineering, King Abdullah University of Science and Technology. Education and Early Career Shuping Dang received B.Eng (Hons) in Electrical and Electronic Engineering from the University of Manchester (with first class honors) and B.Eng in Electrical Engineering and Automation from Beijing Jiaotong University in 2014 via a joint `2+2' dual-degree program. He also received D.Phil in Engineering Science from University of Oxford in 2018

Rachad Atat

Rachad Atat was a CTL lab member and graduated from KAUST. Then, he joined the KTH Royal Institute of Technology (KTH) as a PhD student. Selected Publications Book Chapters: M. Z. Shakir, R. Atat, and M. -S. Alouini, "Interference suppression capabilities of smart cognitive-femto networks (SCFN),” Chapter in Self-Organization and Green Applications in Cognitive Radio Networks, Al-Dulaimi, A., Cosmas, J., and Mohammed, A. (Eds), IGI Global, 2012. M.S. Thesis: R. Atat, "Cooperative Content Distribution over Wireless Networks for Delay and Energy Efficiency," King Abdullah University of Science

Itsikiantsoa Randrianantenaina

Itsikiantsoa Randrianantenaina received the Engineering Diploma degree from the Institut National des Postes et Telecommunications, Rabat, Morocco, in 2013, and the M.S. degree in electrical engineering from the King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, from June 2015- June 2019, where she earned the Ph.D. degree and Joined NEOM, Saudi Arabia, as a Research Engineer after graduation. Her research interests include full-duplex and NOMA systems, interference management, FogRAN architecture, stochastic geometry, and optimization. Education Profile Ph.D

Ahmed Sultan Salem

Instructional Professor, Electrical and Computer Engineering
Instructional Professor of Electrical and Computer Engineering Ahmed K. Sultan has extensive experience teaching at graduate and undergraduate levels in topics such as wireless communications and mathematics for signal processing and digital communications.

Ahmed Douik

Visiting B.S. Student, Computer, Electrical and Mathematical Sciences and Engineering , Quantitative Researcher at Chicago Trading Company PhD candidate at California Institute of Technology

Abdulrahman Abuzaid

Abdulrahman Abuzaid graduated from KAUST with an MS degree in electrical engineering in 2014. He joined Saudi Aramco as an engineer. Abdulrahman's research interests are Adaptive Filtering, Cooperative Communications, and Software-Defined Networking. Education Profile ​M.S. in Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia (September 2012 - 2014). B.Sc. in Electrical Engineering, University of Jordan, Amman, Jordan (September 2007 – January 2012).

Abdallah Al-Moubayed

MS Degree , Computer, Electrical and Mathematical Sciences and Engineering ,King Abdullah University of Science and Technology (KAUST) .Now Abdallah is Visiting Student to (KAUST)
<> edge computing (9)

Efficient Spike Encoding for Sigma-Delta RF Receivers: An End-to-End Neuromorphic Radio Classification System

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B2 R5209

This dissertation investigates efficient streaming Spiking Neural Network (SNN) accelerators for RF AMC through coordinated system, execution-model, and architectural co-design.

From Edge to Intelligence: Light-Driven Synaptic Devices for Adaptive Healthcare and Vision Systems

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B9 L2 R2325

This talk presents a flexible, back-end-of-line compatible optoelectronic synapse developed for neuromorphic edge computing.

Mukhtiar Ahmad

Postdoctoral Research Fellow, Electrical and Computer Engineering
Mukhtiar Ahmad is currently a Postdoctoral Researcher at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. His research interests encompass Non-Terrestrial Networks (NTN), terrestrial cellular networks, distributed systems, and edge computing, with a primary focus on enabling Ultra-Reliable Low-Latency Communication (URLLC) applications. Education and Early Career Mukhtiar Ahmad received the M.Sc. and M.Phil. degrees in Electronics from Quaid-i-Azam University, Islamabad, Pakistan, and the Ph.D. degree in Electrical Engineering from the Lahore University of Management

Beyond Connectivity: Paving the Road to Perceptive and Intelligent Networks

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B1 L3 R3119

This talk will outline the motivation behind perceptive and intelligent large-scale networks, highlight the technological pillars driving their development, and discuss the key challenges that must be addressed.

Ziwu Liu

M.S. Student, Computer Science
My passion for the evolving landscape of technology has driven me to focus on the intricate interplay between resilient computing, federated learning, edge computing, and machine learning systems. My research aims to seamlessly integrate edge computing with federated learning to create resilient and adaptive machine learning systems that can operate effectively even in resource-constrained settings.

Wiem Abderrahim

Postdoctoral Research Fellow (former), Networking Research Lab
Wiem Abderrahim was a postdoctoral fellow under the supervision of Prof. Mohamed-Slim Alouini and Prof. Basem Shihada at the Communication Theory Lab, King Abdullah University of Science and Technology (KAUST). She completed her engineering studies in telecommunications with honors at the Higher School of Communications of Tunis, Carthage University, in 2013. In 2017, she received her doctoral degree in Information and Communications Technologies from the same institution. Before joining KAUST, she worked as an adjunct professor at the Higher School of Communications of Tunis in 2017. She

Kuilian Yang

Klemens Katterbauer

Klemens Katterbauer is a AI specialist and software engineer working on robotics and artificial intelligence software development at EXPECARC in Saudi Aramco. His focus is on bridging the gap between sustainable energy transition development and the power of artificial intelligence. Klemens has published more than 50+ journal and conference publications, and has more than 20+ granted and submitted patents. Before this he was the IT Infrastructure Manager and Business Process Consultant for Eastern Europe, Middle East & Asia Pacific Region at the XXXLGroup (2nd largest furniture retailer in the

Abdurauf Abdurakhmanov

<> free boundary problems (9)

The invisible architect

4 min read ·
Most people never see the mathematics running beneath modern life. CEMSE Professor Miguel Urbano is making sure it works when it matters most.

First-Order Mean-Field Games with Entry-Exit Flow Constraints and Contact-Set Conditions

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This dissertation develops and rigorously analyzes first-order mean-field game models incorporating novel mixed boundary conditions to realistically represent population dynamics in bounded domains by eliminating unrealistic entry phenomena that are typically induced by standard Dirichlet conditions.

On Singular Equations Modeling Electrostatic MEMS

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B9 L2 R2325

This talk introduces mathematical models for microelectromechanical systems (MEMS), focusing on the existence and behavior of solutions to equations describing the MEMS device's instability due to electrostatic forces that can lead to singularities in the mathematical equations.
Analysis and PDEs Workshop-2025

Workshop on Analysis and PDEs

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B3, L5, R5220

Join us for the Workshop on PDEs to explore advances, challenges and methods in the analysis and computation of partial differential equations.

Katerina Nik

Professor Nik studies partial differential equations that describe phenomena in biological growth processes, fluid dynamics, and mechanical engineering.

Free Boundary and Interface Problems Research Group

Professor Miguel Urbano leads the so-called FBIP research group, which stands for Free Boundary and Interface Problems Research group areas of expertise and current scientific interests: free boundary problems, weak solutions behavior, geometric properties ‌Led by Prof. Miguel Urbano, the FBIP research group specializes in free boundary problems, where unknown boundaries are integral to the solution. These problems are prevalent in applications, modeling phenomena such as ocean-atmosphere interactions, flows in porous media, fire front propagation, and financial asset option pricing. The group

A brief introduction to the obstacle problem regularity theory

Prof. Eduardo Teixeira, Department of Mathematics, University of Central Florida (USA)

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B1 L4 R4102

Abstract How does an elastic membrane lie on a given obstacle? This naive looking question hides a beautiful mathematical theory integrating powerful tools with far-reaching applications. In this mini-course we will discuss the obstacle problem as a free boundary model. All necessary tools will be carefully constructed from scratch. We will mainly focus on: optimal regularity of solutions, non-degeneracy estimates, weak geometric-measure properties of the free boundary, classification of global profiles, and differentiability of the free boundary. Brief Biography Eduardo Teixeira is a Full

Rafayel Teymurazyan

Rafayel Teymurazyan works on nonlinear partial differential equations and free boundary problems arising from applications in bio-technologies, chemical engineering, financial mathematics, and optimal design, among others.

Miguel Urbano

Professor Urbano’s research interests are in regularity theory for nonlinear partial differential equations, in particular of singular or degenerate type, arising from different applications, like phase transitions, flows in porous media or semi-supervised learning. He is also interested in free boundary problems, focusing on understanding the local behaviour of weak solutions and the geometric properties of interfaces.
<> IEEE (9)

Professor Hakan Bagci named an Institute of Electrical and Electronics Engineers (IEEE) Fellow

2 min read ·
KAUST Professor Hakan Bagci has been named an IEEE Fellow, the organization’s highest distinction, in recognition of his contributions to computational electromagnetics.

Professor Shamim appointed Editor-in-Chief of the IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology

3 min read ·
Professor Shamim assumes Editor-in-Chief role at IEEE J-ERM

Professor Setti receives the 2025 IEEE Circuits and Systems Society Mac Van Valkenburg Award

3 min read ·
Dean of the KAUST CEMSE Division Professor Gianluca Setti has received the 2025 Institute of Electrical and Electronics Engineers (IEEE) Circuits and Systems (CAS) Society Mac Van Valkenburg Award.

Double honors for Professor Yating Wan

3 min read ·
KAUST Professor Yating Wan receives the 2025 Sony Women in Technology and IEEE Young Investigator Awards.

Professor Tareq Al-Naffouri named Institute of Electrical and Electronics Engineers (IEEE) Fellow

2 min read ·
KAUST Professor Tareq Al-Naffouri has been named an IEEE Fellow, the organization’s highest distinction, in recognition of his contributions to adaptive signal processing and its applications in wireless communications.

Professor Mohamed-Slim Alouini named a Fellow of SPIE and a Distinguished Lecturer of the IEEE Photonics Society

4 min read ·
Professor Mohamed-Slim Alouini earns SPIE Fellow and IEEE Distinguished Lecturer titles, highlighting his influential contributions to optical wireless communications.
IEEE Antennas and Propagation Society Distinguished Lecturer Workshop

Call for Registration: IEEE Antennas and Propagation Society Distinguished Lecturer Workshop

Join us from February 2–4, 2025, for the IEEE Antennas and Propagation Society Distinguished Lecturer Workshop at KAUST Auditorium between Buildings 2 and 3.
IEEE Antennas and Propagation Society Distinguished Lecturer Workshop

IEEE Antennas and Propagation Society Distinguished Lecturer Workshop

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Auditorium between Buildings 2 and 3

Workshops
Global and regional experts and leaders gather at KAUST for the IEEE AP-S Distinguished Lecturer Workshop 2025 to share advancements in antennas and propagation research.

Leveraging Power Systems’ Modularity to support Resiliency Against Synthetic Cyber Disasters

Dr. Salam Baniahmed, Technical Manager, Veloce Energy

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B1 L4 R4214

The fact of power systems’ criticality to national security mandates continuous attention to the worst-case disruption scenarios. In a cyber world, grid modernization efforts have been hindered by cyber-related concerns. This webinar sheds some light on resiliency achievement by utilizing the modular cyber-physical nature of power systems, from an electron in a battery to a digital bit in the internet abyss.
<> INLA (9)

Dr. Krainski and Dr. Esmail Lead INLA Training and Showcase Novel Graph-Based Correlation Models in Montpellier

1 min read ·
The BAYESCOMP research group continues to amplify its global scientific footprint, demonstrating leadership in advanced statistical computing and Bayesian inference through a highly successful recent visit to Montpellier.

The R-INLA Project Launches Revamped Website

1 min read ·
For researchers pushing the boundaries of scalable statistical modeling, the R-INLA framework is a cornerstone of daily computational work. We are excited to share that the official R-INLA project has officially launched a brand-new, modernized website.

Dr. Elias Krainski Leads INLA Course in Brazil

1 min read ·
Demonstrating our research group’s ongoing commitment to international collaboration and knowledge sharing, Dr. Elias Krainski recently concluded a successful five-day online short course on advanced statistical modelling for two premier Brazilian institutions: Universidade Federal de Minas Gerais (UFMG) and Universidade Federal do Paraná (UFPR).

MetricGraph

MetricGraph: A Statistical Framework for Modeling Gaussian Fields on Metric Graphs

Raphaël Huser’s article among the top downloaded articles in Springer’s Environmental Sciences Journals

1 min read ·
Luigi Lombardo, Thomas Opitz, and Raphaël Huser’s article “Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster”, published in the scientific journal Stochastic Environmental Research and Risk Assessment (SERRA), in July 2018, is among the top downloaded articles in Springer’s Environmental Sciences Journals for the year 2018. Huser is an Assistant Professor of statistics in the CEMSE division and principal investigator of the Extreme Statistics (extSTAT) Research Group at KAUST.

Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA book

1 min read ·
Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for modeling continuous spatial processes with a Matérn covariance, which has been implemented using the integrated nested Laplace approximation (INLA) in the R-INLA package. Key concepts about modeling spatial processes and the SPDE approach are explained with examples using simulated data and real

High-resolution Bayesian mapping of landslide hazard with unobserved trigger event

1 min read ·
New paper accepted: Opitz, T., Bakka, H., Huser, R. , and Lombardo, L. (2021+), High-resolution Bayesian mapping of landslide hazard with unobserved trigger event , Annals of Applied Statistics, to appear [ arXiv][ PDF preprint ].

Jonatan A. González

Postdoctoral Research Fellow, Statistics
Jonatan's research interests lie between spatial statistics and coding, emphasising point processes, epidemiology, infectious disease modelling and, generally, application-focused methods. He has a bachelor's degree and a master's background in mathematics. He completed his PhD in spatial and spatio-temporal point processes at the University Jaume I. Jonatan's research projects include techniques for dealing with point patterns: replicated observations, spatio-temporal analysis, graphical methods, hypothesis testing, experimental design and local characteristics. In addition to the core

Daniela Castro-Camilo

Postdoctoral Research Fellow, Statistics
Dr. Daniela Castro-Camilo was a postdoctoral fellow in the Extreme Statistics Research Group of Prof. Raphaël Huser from November, 2015, to May, 2019, doing research on the theory and applications of multivariate and spatial extremes. After her postdoc at KAUST, Daniela moved to the University of Glasgow, United Kingdom, where she embraced an academic career by becoming a Lecturer (equivalent to Assistant Professor in the UK) of Statistics. See her personal webpage. Education and early career Daniela Castro-Camilo received her Ph.D. from Pontificia Universidad Católica de Chile in August 2015
<> Lyapunov methods (9)

Part 1B | PDE Backstepping Boundary Control of Parabolic PDEs

Prof. Mamadou Diagne, Rensselaer Polytechnic Institute

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KAUST

PDE Backstepping Boundary Control of Parabolic PDEs Partial Differential Equations (PDEs) are often used to model various complex physical systems. Representative engineering applications such as heat exchangers, transmission lines, oil wells, road traffic, multiphase flow, melting phenomena, supply chains, collective dynamics, and even chemical processes governing the state of charge of Lithium-ion battery, extrusion, reactors to mention a few. This course will explore the boundary control of a class of parabolic PDE via the well-known backstepping method.

Part 1A | PDE Backstepping Boundary Control of Parabolic PDEs

Prof. Mamadou Diagne, Rensselaer Polytechnic Institute

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KAUST

Partial Differential Equations (PDEs) are often used to model various complex physical systems. Representative engineering applications such as heat exchangers, transmission lines, oil wells, road traffic, multiphase flow, melting phenomena, supply chains, collective dynamics, and even chemical processes governing the state of charge of Lithium-ion battery, extrusion, reactors to mention a few. This course will explore the boundary control of a class of parabolic PDE via the well-known backstepping method.

State Estimation for Nonlinear Dynamical Systems: Methods and Applications | Part 1B

Prof. Ali Zemouche, Université de Lorraine and Khadidja Chaïb Draa, TechnOptiz

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KAUST

Abstract In this lecture we will address the problem of observer design for nonlinear systems. It is mainly devoted to Linear Matrix Inequality (LMI) based methods and their use to improve observer design for a large class of nonlinear systems. A second part of this course will be dedicated to simple but useful contributions to high-gain observer design, where some techniques to improve performances of the standard high gain observer will be presented. Before tackling the problem of observer design, basic notions on stability by using direct and indirect Lyapunov methods will be thoroughly

Part 2A | PDE Backstepping Boundary Control of Parabolic PDEs

Prof. Mamadou Diagne, Rensselaer Polytechnic Institute

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KAUST

Abstract Partial Differential Equations (PDEs) are often used to model various complex physical systems. Representative engineering applications such as heat exchangers, transmission lines, oil wells, road traffic, multiphase flow, melting phenomena, supply chains, collective dynamics, and even chemical processes governing the state of charge of Lithium-ion battery, extrusion, reactors to mention a few. Generally, key aspects of these processes operating mode are driven by convection phenomena with a spatiotemporal dynamic that cannot be approximated straightforwardly using a finite

Part 2B | PDE Backstepping Boundary Control of Parabolic PDEs

Prof. Mamadou Diagne, Rensselaer Polytechnic Institute

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KAUST

Partial Differential Equations (PDEs) are often used to model various complex physical systems. Representative engineering applications such as heat exchangers, transmission lines, oil wells, road traffic, multiphase flow, melting phenomena, supply chains, collective dynamics, and even chemical processes governing the state of charge of Lithium-ion battery, extrusion, reactors to mention a few. This course will explore the boundary control of a class of parabolic PDE via the well-known backstepping method.

State Estimation for Nonlinear Dynamical Systems: Methods and Applications | Part 2B

Prof. Ali Zemouche, Université de Lorraine and Khadidja Chaïb Draa, TechnOptiz

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KAUST

Abstract In this lecture we will address the problem of observer design for nonlinear systems. It is mainly devoted to Linear Matrix Inequality (LMI) based methods and their use to improve observer design for a large class of nonlinear systems. A second part of this course will be dedicated to simple but useful contributions to high-gain observer design, where some techniques to improve performances of the standard high gain observer will be presented. Before tackling the problem of observer design, basic notions on stability by using direct and indirect Lyapunov methods will be thoroughly

State Estimation for Nonlinear Dynamical Systems: Methods and Applications | Part 2C

Prof. Ali Zemouche, Université de Lorraine and Khadidja Chaïb Draa, TechnOptiz

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KAUST

Abstract In this lecture we will address the problem of observer design for nonlinear systems. It is mainly devoted to Linear Matrix Inequality (LMI) based methods and their use to improve observer design for a large class of nonlinear systems. A second part of this course will be dedicated to simple but useful contributions to high-gain observer design, where some techniques to improve performances of the standard high gain observer will be presented. Before tackling the problem of observer design, basic notions on stability by using direct and indirect Lyapunov methods will be thoroughly

State Estimation for Nonlinear Dynamical Systems: Methods and Applications | Part 2A

Prof. Ali Zemouche, Université de Lorraine and Khadidja Chaïb Draa, TechnOptiz

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KAUST

Abstract In this lecture we will address the problem of observer design for nonlinear systems. It is mainly devoted to Linear Matrix Inequality (LMI) based methods and their use to improve observer design for a large class of nonlinear systems. A second part of this course will be dedicated to simple but useful contributions to high-gain observer design, where some techniques to improve performances of the standard high gain observer will be presented. Before tackling the problem of observer design, basic notions on stability by using direct and indirect Lyapunov methods will be thoroughly

State estimation for nonlinear dynamical systems: Methods and applications | Part 1C

Prof. Ali Zemouche, Université de Lorraine and Khadidja Chaïb Draa, TechnOptiz

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KAUST

Abstract In this lecture we will address the problem of observer design for nonlinear systems. It is mainly devoted to Linear Matrix Inequality (LMI) based methods and their use to improve observer design for a large class of nonlinear systems. A second part of this course will be dedicated to simple but useful contributions to high-gain observer design, where some techniques to improve performances of the standard high gain observer will be presented. Before tackling the problem of observer design, basic notions on stability by using direct and indirect Lyapunov methods will be thoroughly
<> mathematical modelling (9)

On the Modeling and Approximation of Phase Transitions in Elasticity

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B9 L2 R2325

This talk explores the mathematical modeling of phase transitions in elasticity, drawing motivation from observed phenomena in crystalline solids and biomaterials.
kaust-mathematical-modeling-reaction-diffusion-biomedical-research

Bringing an old proof to modern problems

1 min read ·
A physically consistent and self-adaptive numerical modelling approach opens the door to more accurate and reliable computational simulations of clinical and biological processes.

AMCS Mini Course: Mathematical and numerical modelling of water waves

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B1 L3 R3119

Abstract : The mathematical modelling of water waves continues to attract great interest both from a mathematical point of view, due to the difficulty of solving the systems of nonlinear partial differential equations that describe the relevant physical phenomena, and also from that of fluid mechanics, due to complexity of the physical phenomena that occur during the propagation of water waves and their importance in oceanography and coastal dynamics. The basic mathematical model is the system of the Euler equation for the motion of the free surface and the evolution of the velocity field of

Professor Marc Genton named Distinguished Professor of Statistics at KAUST

1 min read ·
Marc G.Genton, Professor of Statistics in the Division of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), has been appointed by KAUST President Jean-Lou Chameau to Distinguished Professor of Statistics.

Stefanos Georgiadis

Stefanos Georgiadis is a Ph.D. candidate in a co-tutelle between KAUST and TU Wien, under the supervision of Professor Athanasios Tzavaras and Ansgar Jüngel. Before joining KAUST, Stefanos obtained his bachelor and master's degree in applied mathematics from the School of Applied Mathematical and Physical Sciences of the National Technical University of Athens in Greece. Research Interests Stefanos' research interests include the analysis of nonlinear partial differential equations as they apply to the modeling of multicomponent systems of gases.

Marc G. Genton

Al-Khawarzmi Distinguished Professor, Statistics
Professor Genton’s pioneering research on large-scale spatial and temporal data has profoundly affected the field of environmental statistics. He is an expert in spatial and spatio-temporal statistics with applications to environmental problems.

Dmitry Lyakhov

Dmitry Lyakhov is a Research Scientist at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST), working with Professor Dominik Michels in the Computational Sciences Group (CSG). Education and Early Career Dmitry Lyakhov graduated from Belarusian State University with a master's degree in Theoretical Physics and, later on, a Ph.D. in Mathematics. He is also an alumnus of the National Academy of Sciences of Belarus and visiting scholar of von Karman Institute for Fluid Dynamics. In 2018, he received a Nanodegree in Machine Learning. Before joining KAUST

Athanasios Tzavaras

KAUST Professor of Applied Mathematics and Computational Science Athanasios (Thanos) Tzavaras specializes in mathematical modelling, analysis and computation of partial differential equations pertaining to fluid mechanics or modeling of materials.

Abdelrahman Said Abdelrahman Mohammed Abdelrahman

Intern (former), Information Science Lab
Remote Internship at King Abdullah University of Science and Technology (KAUST).
<> memristors (9)

On the mathematical modeling of memristors

1 min read ·
Radwan, Ahmed G., et al., "On the mathematical modeling of memristors." In 2010 International Conference on Microelectronics, 2010, 284. Since the fourth fundamental element (Memristor) became a reality by HP labs, and due to its huge potential, its mathematical models became a necessity. In this paper, we provide a simple mathematical model of Memristors characterized by linear dopant drift for sinusoidal input voltage, showing a high matching with the nonlinear SPICE simulations. The frequency response of the Memristor's resistance and its bounding conditions are derived. The fundamentals of

Mohammed Zidan (EE PhD Candidate) received the best postgraduate poster award at the SIECPS conference

1 min read ·
Mohammed Zidan received the best postgraduate poster award at the second Saudi International Electronics, Communications and Photonics conference, held 27-30 April 2013 in Riyadh, KSA.

Prof. Salama's publications recognized by Elsevier's Top 25 hottest articles list

1 min read ·
Ph.D. student, Mohammed Zidan 's paper on Memristor-based memory: The sneak paths problem and solutions are recognized by ScienceDirect as one of the Top 25 hottest papers.

Towards neuromorphic electronics: Memristors on foldable silicon fabric

1 min read ·
MT Ghoneim, et al., "Towards neuromorphic electronics: Memristors on foldable silicon fabric" Microelectronics Journal 45 (11), 2014, 1392. The advantages associated with neuromorphic computation are rich areas of complex research. We address the fabrication challenge of building neuromorphic devices on structurally foldable platform with high integration density. We present a CMOS compatible fabrication process to demonstrate for the first time memristive devices fabricated on bulk monocrystalline silicon (100) which is next transformed into a flexible thin sheet of silicon fabric with all

Memristors Empower Spiking Neurons With Stochasticity

1 min read ·
Maruan Al-Shedivat, et al., "Memristors empower spiking neurons with stochasticity." IEEE journal on Emerging and Selected Topics in Circuits and Systems 5 (2), 2015, 242. Abstract: Recent theoretical studies have shown that probabilistic spiking can be interpreted as learning and inference in cortical microcircuits. This interpretation creates new opportunities for building neuromorphic systems driven by probabilistic learning algorithms. However, such systems must have two crucial features: 1) the neurons should follow a specific behavioral model, and 2) stochastic spiking should be

Pilot assisted readout for passive memristor crossbars

1 min read ·
Rawan Naous, et al., "Pilot assisted readout for passive memristor crossbars." Microelectronics Journal 54, 2016 48. The high demands for performance and energy efficiency pose significant challenges for computational systems. Memristor-based crossbar architectures are actively considered as vital rivals for the traditional solutions. Nonetheless, density and energy driven passive array structures, that lack a switching control per cell, suffer from sneak paths that limit the range of accurate operation of the crossbar array. In this paper, the crossbar array is treated as a communication

Stochasticity Modeling in Memristors

1 min read ·
Rawan Naous, et al., "Stochasticity modeling in memristors." IEEE Transactions on Nanotechnology 15 (1), 2016, 15. Abstract: Diverse models have been proposed over the past years to explain the exhibiting behavior of memristors, the fourth fundamental circuit element. The models varied in complexity ranging from a description of physical mechanisms to a more generalized mathematical modeling. Nonetheless, stochasticity, a widespread observed phenomenon, has been immensely overlooked from the modeling perspective. This inherent variability within the operation of the memristor is a vital

Mani Teja Vijjapu

Mani Teja did his bachelors in Electronics and communications from Jawaharlal Technological University Anantapur, India in the year 2013. He worked as a research associate for Physical Research Laboratory, India for couple of years. He further continued to work as a research associate at IIT Madras, India. Later he pursued his masters in Solid state electronic devices from National Chiao-Tung University (NCTU), Taiwan and graduated in 2018. His Master’s thesis is focused on fabricating a binary synapse like memristor using atomic layer deposition. He did his summer internship at National

Kamilya Smagulova

Postdoctoral Research Fellow (former), Communication and Computing Systems Lab
Education and early career Kamilya received her bachelor degree in Radio Engineering and Telecommunications from Almaty University of Power Engineering and Telecommunications (2008) and masters degree in Nanotechnology from University College London (2011). In 2021 she obtained her PhD degree in Electrical and Computer Engineering from Nazarbayev University. Currently Kamilya is a postdoctoral fellow at Communication and Computing Systems Lab (CCSL) under supervision of Prof. Ahmed Eltawil. Her research interests lie primarily in the area of machine learning and resistive hardware accelerators
<> nanophotonics (9)

Synergizing Nanophotonics and Artificial Intelligence: From Inverse Design to Intelligent Optical Frontends

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B3 R5220

This dissertation investigates the transformative convergence of nanophotonics and artificial intelligence (AI).

Micro-LEDs boost random number generation

1 min read ·
Intensity fluctuations from miniature LEDs provide ultrafast generation rates.

Fei Xiang

Light management in non-Hermitian media

Dr. Waqas Ahmed, Electrical Engineering, King Abdullah University of Science and Technology

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KAUST

Structured media provide the momentum compensation for the scattering of waves. It is well-known that nano-scale modulations of the refractive index may lead to a temporal and spatial control over light propagation. Yet, also engineering the gain and loss profile uncovers analogous shaping effects. However, only the interplay between both the refractive index and gain and loss modulations introduces unidirectionality in light management. Thus, non-Hermitian optics has become one of the most fertile grounds in optics. A generalized Hilbert transform allows tailoring the two quadratures of the complex permittivity to design periodic or disordered non-Hermitian media, holding either global or local unidirectionality following arbitrary vector fields to tailor the flow of light. The method allows restricting the permittivity within realistic values rendering it suitable for applications.

Viability assays of CMOS-compatible materials, device architectures, and emerging device platforms for nano-photonics

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B5 L5 R5209

My research at the University of Toronto involves designing and fabricating CMOS-compatible nano-plasmonic waveguide structures and devices for on-chip communication. By taking advantage of the absence of diffraction limits, strong modal confinement is made possible using plasmonic device architectures, laying the foundations for improved optical processes and photonic circuit integration. All-oxide structures have emerged as promising plasmonic materials that can serve as relatively low carrier density Drude metals and dielectric spacers by their electro-optic tunability and versatility. I demonstrated the facile integration of all-oxide heterointerfaces into metal–insulator–semiconductor (MIS) electro-optic structures. From there, I fabricated MIS devices that incorporated semiconductive oxide layers with oxide dielectric spacers on silicon-on-insulator (SOI) platforms, constituting graded-index coupled hybrid plasmonic waveguide (CHPW) optical modulators.

Yanfen Zhai

Yanfen Zhai is a Postdoctoral Fellow working under the supervision of Professor Atif Shamim at Integrated Microwaves Packaging Antennas and Circuits Technology (IMPACT) Research Group in King Abdullah University of Science and Technology (KAUST). Research Interests Yanfen's research interests include Nano-Photonics and Nanotechnology, Antenna design, integration and miniaturization techniques, On-Chip Mid-Infrared Gas Sensor, On-Chip Ultra - Wideband Optical Switch Matrix (MEMS), and Quantum Single-Photon Source (Nonlinear optics). Patents: 1) Y. Zhai, W. Zhang, and Y. Huang, “A kind of

Qizhou Wang

Qizhou Wang research focuses on advancing optical sensing, nanophotonics, and intelligent computational imaging.

Haomin Song

Visiting Student, Photonics Laboratory
Haomin Song was an international visiting PhD student from the State University of New York, Buffalo, at Professor Boon Ooi's Photonics Laboratory at King Abdullah University of Science and Technology (KAUST). He served as reviewers for various international journals, such as Scientific Reports, Optics Express, Optical Materials Express, Phys. Lett. B, IEEE Photonics J., and J. Mater. Chem. A etc. Research Interests Haomin's research interests included Nano-photonics, Optoelectronics and Bio-photonics for integrated devices/systems. Selected Publications H. Song,* N. Zhang,* J. Duan, Z. Liu, J

Chun-Ho Lin

Chun-Ho Lin obtained his Ph.D. in Electrical Engineering from King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Jr-Hau He in 2018. Lin completed his master’s degree in the Department of Electrical Engineering from the National Taiwan University and began his Ph.D. studies at KAUST in 2014. Research Interest Chun-Ho Lin's research interests include Perovskites, Nanophotonics, Flexible Electronics, Paper device, and 2D Materials.
<> nanovisualization (9)

Visual Analytics for Macromolecular Science

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This dissertation presents a suite of scientific visual analytics systems that tightly couple large-scale computational modeling - including both AI-powered inference and traditional molecular simulations - with interactive, scalable visualization.

KAUST Cell Visualization Summit 2019

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B9 H2 R2325

You are invited to attend the KAUST Cell Visualization Summit 2019 organized by the Nanovisualization group from the Visual Computing Center (VCC). The summit will focus on the technological advancement that can lead to an in-silico virtual and visual representation by integrating current knowledge into a unified structural and dynamic model of a living cell. Each keynote speaker will relate to one of the technological aspects (modeling, visualization, and interaction). Keynote speakers Arthur Olson Graham Johnson Anders Ynnerman For more information about the summit, please click here. If you

Nanovisualization: Depicting the Tiny World Around Us

Ivan Viola, Associate Professor, Computer Science

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KAUST

Life at micron-scale is inaccessible to the naked eye. To aid the comprehension of nano- and micro-scale structural complexity, we utilize 3D visualization. Thanks to efficient GPU-accelerated algorithms, we witness a dramatic boost in the sheer size of structures that can be visually explored. As of today an atomistic model of the entire bacterial cell can be displayed interactively. On top of that, advanced 3D visualizations efficiently convey the multi-scale hierarchical architecture and cope with the high degree of structural occlusion which comes with dense packing of biological building blocks. To further scale up the size of life forms that can be visually explored, the rendering pipeline needs to integrate runtime construction of the biological structure. Assembly rules define how a body of a certain biological entity is composed. Such rules need to be applied on-the-fly, depending on where the viewer is currently located in the 3D scene to generate full structural detail for that part of the scene. We will review how to construct membrane-like structures, soluble protein distributions, and fiber strands through parallel algorithms, resulting in a collision-free biologically-valid scene. Assembly rules that define how a life form is structurally built need to be expressed in an intuitive way for the domain scientist, possibly directly in the three-dimensional space. Instead of placing one biological element next to another one for the entire biological structure by the modelers themselves, only assembly rules need to be specified and the algorithm will complete the application of those rules to form the entire biological entity. These rules are derived from current scientific knowledge and from all available experimental observations. The Cryo-EM Tomography is on rising and shows that we can already now reach the near-atomistic detail when employing smart algorithms. Our assembly rules extraction, therefore, needs to integrate with microscopic observations, to create an atomistic representation of specific, observed life forms, instead of generic models thereof. Such models then can be used in whole-cell simulations, and in the context of automated science dissemination.

Web-based 3D Visualization

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B9 L2 H2 H2

In this seminar I will present how to create 3D computer graphics and visualization systems for the web, using WebAssmbly and WebGPU language specifications, which are new, bleeding-edge technologies. Previously, accelerated graphics on the web was based on JavaScript libraries, which is still very popular, but they do not offer detailed memory management and code optimization, necessary for systems requiring high memory load and high computational demands. WebAssembly and WebGPU can be compiled from the C++ or Rust code, which also allows the deployment of the same codebase either for web or for the desktop-based applications.

Prof. Ivan Viola acts as Eurovis 2020 Full Papers Chair

1 min read ·
Prof. Ivan Viola will act as the Eurovis 2020 Full Papers Chair in the upcoming joint conferences Eurographics and Eurovis 2020. For the first time, the two conferences Eurographics and Eurovis (EGEV) will run together, as a single event, to be hosted in Norrköping, Sweden from May 25th-29th, 2020.

Visiting Slovenian student relishes time at KAUST

1 min read ·
KAUST visiting student Aljaz Bogataj, who spent three months in the NANOVIS research group, shared his impressions of work and life at KAUST.

Ivan Viola

Professor, Computer Science
Professor Viola’s expertise lies in scientific visualization and visual computing. His research focuses on multiscale visualization and modeling of complex biological systems, ranging from cellular organisms to atomistic-level details.

Deng Luo

Ph.D. Student, Computer Science
Deng Luo is a Ph.D. Candidate in the Computer Science program under the supervision of Professor Ivan Viola at the Visual Computer Center (VCC) at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia.

Aidana Nurakhmetova

Visiting Student, Nanovisualization
Aidana Nurakhmetova was a visiting student under the supervision of Prof. Ivan Viola in the Nanovisualization Research Group (NANOVis) at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Aidana is studying in her last year of Bachelor's Degree in Computer Science at Nazarbayev University, Kazakhstan. She's currently focusing on the Visualization of Complex Biological Structures in the Nano-scale.
<> Red Sea (9)

Winds and waves winding down

1 min read ·
Wind intensities and wave heights in the Red Sea are decreasing over time—potential for a significant impact on its ecosystem.

More rain for the Red Sea if El Niño breezes in

1 min read ·
Modeling leads to a better understanding of the role El Niño plays in increasing rainfall along the coast of the Red Sea.

Microbial communities have a seasonal shake-up

1 min read ·
Turbulence and nutrient availability drive changes in Red Sea microbes.

Red Sea flushes faster from far-flung volcanoes

1 min read ·
Volcanic eruptions in Mexico and the Philippines can lead to atmospheric changes that favor the ventilation of deep water in the Red Sea.

Eddy currents affect flux of salt more than heat

1 min read ·
Modeling the 3D structure of Red Sea eddies shows how transport of energy and biochemical materials influences circulation patterns in the Red Sea.

Simulating Red Sea water exchanges

1 min read ·
Powerful computer simulations are revealing new insights into water exchanges between the Red Sea and the Gulf of Aden.

Remote sensing of toxic algal blooms

1 min read ·
Algal blooms in the Red Sea can be detected with a new method that accounts for dust storms and aerosols.

Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model

1 min read ·
New paper accepted: Hazra, A., and Huser, R. (2020+), Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model, Annals of Applied Statistics [ PDF preprint].

Predicting future hotspots in the Red Sea

1 min read ·
Predicting areas of the Red Sea most susceptible to overheating by the end of the century could help conservation efforts to protect its precious coral reefs.
<> simulation (9)

Nuclear Fusion Powered by AI and HPC

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B9 L2 R2325

This talk presents advanced simulations with AI-driven optimization to improve the performance of a next-generation plasma-jet-driven magneto-inertial fusion concept.

High-dimensional Q-learning for Dynamic Treatment Regimes

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B3 L5 R5220

Dynamic treatment regimes are a set of decision rules and each treatment decision is tailored over time according to patients’ responses to previous treatments as well as covariate history. There is a growing interest in development of correct statistical inference for optimal dynamic treatment regimes to handle the challenges of nonregularity problems in the presence of nonrespondents who have zero-treatment effects, especially when the dimension of the tailoring variables is high.

Going to extremes to predict natural disasters

1 min read ·
A systematic approach to selecting and configuring statistical models improves predictions of extreme events.

KAUST Ph.D. student Lukas Larisch wins the PACE 2017 Challenge

2 min read ·
Lukas Larisch, a KAUST Ph.D. student in Computer Science working under the supervision of Professor Gabriel Wittum, won the PACE 2017 Parameterized Algorithms and Computational Experiments Challenge. The award ceremony that took place in Vienna, Austria, at the beginning of September this year has been held during the ALGO Congress at the International Symposium on Parameterized and Exact Computation (IPEC 2017).

Ph.D. student Michał Mańkowski wins poster award at the 18th Annual American Society of Transplant Surgeons Symposium

2 min read ·
KAUST Ph.D. student Michał Mańkowski won the Poster of Distinction Award at the American Society of Transplant Surgeons (ASTS) 18th Annual State of the Art Winter Symposium earlier this year. Photo by Sarah Munshi.

Beyond self-driving simulations: teaching machines to learn

1 min read ·
Teaching has the power to test the limits of one's knowledge. Teaching algorithms to learn using machine learning is making it possible for cars to do away with human drivers in the near future, but this has also opened up new questions about the limits of our knowledge of the brain and learning. Bernard Ghanem, KAUST associate professor of electrical engineering from the University's Visual Computing Center and principal investigator of the Image and Video Understanding Lab, applies machine learning techniques to computer vision for automated navigation (for example, self-driving cars and
kaust-cemse-ece-otavio-bertozzi

Otavio Bertozzi

Lukas Larisch

Ph.D. Student, Computer Science
Lukas Larisch is a Phd candidate in Computer Science. He is studying under the supervision of Professor Gabriel Wittum. Lukas has a bachelor degree in Computer Science from the Goethe University of Frankfurt, Germany. Education Profile B.Sc. in Computer Science from the Goethe University of Frankfurt, Germany. Awards and Distinctions Winner of the PACE 2017 Challenge

Libo Huang

Ph.D. Student, Computer Science
Libo Huang is a Ph.D. candidate at Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Dominik Michels in Computational Sciences Group (CSG). Education and Early Career Libo Huang obtained his bachelor degree in Geophysics from Peking University in China in 2015. After that, he joined KAUST and received his master degree in Earth Science and Engineering in 2016. Education Profile M. Sc., Earth Science and Engineering , King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2016 B. Sc
<> smart grids (9)

Smart Grids Communications: Protocols and Cybersecurity

Suhail Shaik, Electrical Engineering Department, King Fahd University of Petroleum & Minerals

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B9 L2 H2 H2

The conventional power system is transforming into a smart grid through the integration of information and communication technologies (ICT). The incorporation of advanced ICT in the smart grid enhances its control and operational efficiency.

Three papers accepted to SmartGridComm 2021

1 min read ·
Three papers accepted to SmartGridComm 2021. 1) " CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks on Electric Power Grid" in collaboration with Yier Jin's group from University of Florida. 2) " Cyber-Physical Disaster Response of Power Supply Using Centralised-to-Distributed Framework" in collaboration with Fei Teng's group from Imperial College London. 3) " Attack Detection and Localization in Smart Grid with Image-based Deep Learning" in collaboration with Mostafa Mohammadpourfard's group from Istanbul Technical University.

Blocking microgrid cyberattacks to keep the power flowing

1 min read ·
Power grids have become far more complex in recent decades due to energy demands, environmental regulations and small-scale renewable energy systems that turn businesses and individuals into combined consumer-producers. One way to ensure that power supplies remain resilient is to create small groups of sources and loads called microgrids. Microgrids can operate independently of the main grid when required, such as supporting hospitals during natural disasters, for example. As microgrids grow more complex, they require sophisticated computer networks to coordinate, control and distribute

IEEE Innovative Smart Grid Technologies - Middle East 2023

1 min read ·
Maha Alsabban had the pleasure to attend the IEEE Innovative Smart Grid Technologies - Middle East (ISGT-ME 2023) held on 12-15 March at Khalifa University, Abu Dhabi, UAE. The aim of the IEEE-ISGT-ME Conference is to provide an international forum for experts to promote, share, and discuss innovations and developments in the field of smart grid technologies and applications. Maha presented her first-author paper entitled “Analysis and Verification of Islanding Detection Techniques for Grid Integrated PV Systems”, as part of her Masters Thesis research work co-authored with Otavio Jose Dezem

Souhaib Ben Taieb

Postdoctoral Research Fellow, Statistics
Dr. Souhaib Ben Taieb is an Assistant Professor in Computer Science at University of Mons (UMONS) in Belgium. He is also an Adjunct Senior Lecturer in the Department of Econometrics and Business Statistics at Monash University in Melbourne, Australia. From 2016 to 2018, Souhaib was a Lecturer in the Department of Econometrics and Business Statistics at Monash University in Melbourne, Australia. In 2015, he was a postdoctoral research fellow in the Spatio-Temporal and Data Science Group at KAUST. He was a visiting scholar at several international institutions, including the School of Earth

Shehab Ahmed

Professor Shehab's research focuses on power electronics, renewable energy integration and electric vehicle technologies. His work explores innovative solutions for efficient energy conversion, power management within smart grids, and the development of sustainable transportation systems.

Muhammad Zeeshan

Research Interests Development and Implementation of digital control systems on FPGA and hardware in the loop testing Education Profile BS Electrical Engineering, PIEAS, Islamabad, Pakistan, 2022

Mohammed-Iliès Ayachi

Research Interests Research specialist at KAUST, software engineer, main research topics are the development of a resilient information architecture platform for smart grid application on a distributed cyber physical system, digital twins for city energy forecasting, integration of the various components (Unity game engine, deep learning with tensorflow, pytorch, python, C#, nvidia jetpack, GStreamer). Fog computing with IOT hardware in the loop Modelica/Dymola simulation. Multi-view damage detection and assessment with computer vision and machine learning techniques. Professional Profile Oct

Maha Alsabban

Research Interests Maha is pursuing her M.Sc nowadays at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia under the supervision of Prof. Shehab Ahmed. She received her B.Sc degree in Electrical and Computer Engineering from Effat University in Jeddah, Saudi Arabia in 2021 with a concentration in power and control systems. Her capstone project entitled “Smart Electricity Meter Monitoring and Power Consumption Analysis” focused on monitoring and analyzing power consumption readings from smart meters. Her research interests are in the areas of power distributions
<> statistical signal processing (9)

PhD EE student Mudassir Masood from Prof. Tareq Al-Naffouri's group wins best poster award at ICCSPA'13

1 min read ·
Mudassir Masood, a Ph.D. student in Electrical Engineering (EE) at the CEMSE division, received the best poster award at the International Conference on Communications, Signal Processing, and Their Applications (ICCSPA), held 11-14 February 2013 in Sharjah, UAE.

Tareq Al-Naffouri

Professor Al-Naffouri's research focuses on designing and analyzing wireless communication systems, particularly spectrum sharing, cognitive radio, energy efficiency and security within the context of advanced technologies like 5G.

Syed Faraz Ahmed

Intern at King Abdullah University of Science and Technology (KAUST),

Osama Bushnaq

Ph.D. degree in electrical engineering at the King Abdullah University of Science and Technology (KAUST)

Muhammad Hanif

Introduction Muhammad Hanif is a PhD Student at the University of Victoria, Victoria, Canada Education Muhammad got his B.S. and M.S. degrees in Electrical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan between 2005-2012. After graduation, he went to University of Victoria (UVic), Victoria, British Columbia, Canada as a Ph.D. in Electrical Engineering Research Interest Performance analysis of wireless systems Statistical signal processing Convex optimization Orthogonal frequency division multiplexing Synchronization in communication systems search

Mohammed Ahmed

Postdoctoral Research Fellow (former), Information Science Lab
post-doctoral fellow at L'École de technologie supérieure (ETS) de Montréal (Mtl) where he started on February 2014. he works with Prof. Georges Kaddoum.

Khalil Elkhalil

Postdoctoral Research Fellow, Electrical and Computer Engineering
PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.

Ayed M. Alrashdi

Ph.D. Student (former), Electrical and Computer Engineering
Ph.D. degree in electrical and computer engineering from the King Abdullah University of Science and Technology (KAUST) working with Professor Tareq Al-Naffouri in the Information System Lab (ISL),Assistant Professor with the Electrical Engineering Department at University of Ha'il

Ahmed Abdul Quadeer

Research Intern at King Abdullah University of Science and Technology (KAUST), The Hong Kong University of Engineering and Technology
<> Terahertz communications (9)

Gleb Ludnikov

To strive and explore, to uncover and never give in.

Nour Kouzayha

Research Scientist at King Abdullah University of Science and Technology.

Mikail Erdem

Postdoctoral Research Fellow, Electrical and Computer Engineering
Mikail Erdem works as a postdoctoral fellow at the Communication Theory Lab at King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini. Education and Early Career Mikail Erdem received his B.S. degree in Electrical-Electronics Engineering at Bogazici University in 2014, he received his M.S. degree in Electronics and Computer Engineering at Istanbul Sehir University in 2016, and he received his Ph.D. degree in Electronics Engineering at Sabanci University in 2021. In 2016, he worked as a research engineer for IstLink Communication on the

Jingping Qiao

Visiting Scholar, Communication Theory Lab
Jingping Qiao is a visiting scholar at King Abdullah University of Science and Technology (KAUST), working with Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Jingping Qiao obtained her BS degree in Communication Engineering from Inner Mongolia University of Science and Technology (IMUST) in 2012. After that, she obtained her Ph.D. degree in Communication and Information Systems from Shandong University in 2018. Before joining KAUST, she worked as a lecturer at Shandong Normal University (SDNU). Research Interest Jingping Qiao is focusing in the
Hakim

Hakim Jemaa

KAUST is an environment that promotes competitivity and encourages personal growth in a rich multicultural community.

Hadi Sarieddeen

postdoctoral fellow in the Communication Theory Lab (CTL) and the Information Science Lab (ISL) at KAUST, working under the supervision of Distinguished Prof. Mohamed-Slim Alouini and Prof. Tareq Al-Naffouri.

Amanat Kafizov

Amanat Kafizov is a Ph.D. student in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST), specializing in visible light Terahertz (THz) communications and machine learning.

Alice Faisal

Visiting Student (former), Electrical and Computer Engineering
Visiting Student at King Abdullah University of Science and Technology (KAUST), chair of IEEE women in engineering affinity group at Effat University student branch.

Ahmed Mohammed Magbool

M.Sc. Degree in Electrical Engineering, King Abdullah University of Science and Technology (KAUST)
<> underwater optical communications (9)

Underwater optical communication and sensing technology in silent ocean

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KAUST

This dissertation aims to investigate and address noisy ocean issues and build large-scale underwater sensor networks by optical communication and sensing technology. The dissertation proposes using UWOC and FC&S technology to replace the conventional acoustic communication technology and reduce the noise in the ocean. UWOC helps achieve high-speed wireless communications between sensors, vehicles, and even humans for UIoT. The significant challenges of developing UWOC systems are the complex underwater environment's attenuation, scattering, and turbulence effects. This dissertation studied the turbulence effects on the UWOC system’s performance and addressed the pointing-acquisition-and-tracking issues.

Gbps Laser-based underwater wireless optical communication

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B9 L2 H2

I will focus my discussion on optoelectronic devices and system challenges facing long-distance, multiple-Gbps underwater wireless optical communication. The future perspective of underwater photonics will also be discussed.

Underwater link - Nature Photonics | Research Highlights

1 min read ·
A high-speed underwater optical communications link that operates at a data rate of 4.8 Gbits s−1 over a distance of 5.4 m has been demonstrated by scientists in Saudi Arabia and Taiwan. http://www.nature.com/nphoton/journal/v9/n11/full/nphoton.2015.218.html

Hybrid Acoustic-Pptical strategies for Marine Exploration Sensing

1 min read ·
ISL scientists have developed a hybrid sensor network that overcomes the shortcomings of acoustic and optical waves. Acoustic and optical waves are two of the most commonly used underwater wireless communication systems. The new hybrid sensor network can transmit acoustic and optimal signals simultaneously. This feature alongside other developments makes the sensor network a potential solution for the increased demand in high quality underwater communications. Mohammed Slim-Alouni, a Professor of Electrical Engineering at KAUST believes that using a combination of acoustic and optical waves

Yang Weng

Visiting Student, Photonics Laboratory
Yang Weng was an international visiting student at Photonics Laboratory in the Division of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) at King Abdullah University of Science & Technology (KAUST). He is a Ms. student at National Taiwan University (NTU). Research Interests Yang's research interests included ​Underwater Optical Communication, Autonomous Underwater Vehicle, Localization, and Navigation. Selected Publications ​Y. Weng, H. Yang, J. He, and D. Song, "Microstructure measurement form an underwater glider: Motion analysis and experimental results," OCEANS 2015

Xinyu Zhang

Visiting Student, Photonics Laboratory
Xinyu Zhang was a visiting student in Electrical Engineering at King Abdullah University of Science and Technology (KAUST). She obtained her Bachelor's Degree with distinction in Material Shaping and Control Engineering from Wuhan University (WHU) in 2018. Research Interests Xinyu's research interests included Photoelectrochemical water splitting, Nanostructured GaN-based semiconductor materials, and Underwater wireless optical communications. Selected Publications ​​Wang, X., Tan, D., Zhang, X, Lei, Y., Xue, L, "Effective Elastic Modulus of Structured Adhesives: From Biology to Biomimetics,"

Sohailh Marie

Visiting Student, Photonics Laboratory
​Sohailh Marie is a student in highschool at Riyadh Schools for Boys and Girls, a cohoet 3 of the Misk College Prep Program, and a 2021 SRSI student. Sohailh is intreseted in astronomy and areospace angineering but also found solar and renweable energy quite facinating. That is why her research topics are about underwater optical communication. Education Profile Riyadh Schools for Boys and Girls (class of 2022)

Mohammed Sait

Mohammed Sait is a Ph.D. student in Photonics Laboratory in the Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE) under the supervision of Professor Boon Ooi at King Abdullah University of Science & Technology (KAUST). Research Interests Mohammed's research interests include​Underwater optical communication, and VLC and LiFi technology. Education Profile ​BS. in electronics and communication engineering, University of Leicester, UK (2013-2016). MS. in Digital communication systems, Loughborough University, UK (2016-2017). Awards and Distinctions Clarke Griffith's

Hongsen He

Visiting Student, Photonics Laboratory
Hongsen He is a Master Student of Xiamen University, China. His main research area is solid-state lasers, including Ince-Gaussian beam, high power laser, vector and vortex beam. He joined the Photonics Laboratory in King Abdullah University of Science and Technology (KAUST), as a visiting student. He received the B.S. degree in Northwestern Polytechnic University, China in 2015. Research Interests Hongsen's research interests included Underwater Optical Communications and Nanowire materials. Education Profile M. S. Student in Optics Engineering, XMU, Xiamen, China (September 2015 - June 2018)
<> UV LED (9)

Haiding's APL paper is highlighted by Compound Semiconductor!

1 min read ·
Haiding's APL paper is highlighted by Compound Semiconductor!

Xiaobin's paper on UV LED communication is selected as the work of the week this week of Compound Semiconductor!

1 min read ·
Xiaobin's paper on UV LED communication is selected as the work of the week this week of Compound Semiconductor!

Haiding's paper on KOH conditioning of nanowire UV LED got accepted by ACS Photonics!

1 min read ·
Haiding's paper on KOH conditioning of nanowire UV LED got accepted by ACS Photonics!

Compound Semiconductor: KAUST Team Cleans Nanowires For More Efficient UV LEDs

1 min read ·
Compound Semiconductor: KAUST Team Cleans Nanowires For More Efficient UV LEDs

Shahab's paper on using bending strain to improve UV LED efficiency is accepted by JPD!

1 min read ·
Shahab's paper on using bending strain to improve UV LED efficiency is accepted by JPD!

Ronghui's paper on improving UV LED extraction efficiency of TM light gets accepted by Photonics Research!

1 min read ·
Ronghui's paper on improving UV LED extraction efficiency of TM light gets accepted by Photonics Research!

Zhongjie and Yi's paper on the first UV LED without Electron Blocking Layer is accepted by IEEE Photonics Journal!

1 min read ·
Zhongjie and Yi's paper on the first UV LED without Electron Blocking Layer is accepted by IEEE Photonics Journal!

Yi's paper on N-polar AlGaN-based UV LED with Grading Quantum Barriers is accepted by Acta Photonica Sinica!

1 min read ·
Yi's paper on N-polar AlGaN-based UV LED with Grading Quantum Barriers is accepted by Acta Photonica Sinica!

Pitching a winning business idea in Silicon Valley

2 min read ·
KAUST Ph.D. student Asrar Damdam's business idea wins first place at pitching competition in Silicon Valley.
<> 2D materials (8)
Razan Shams

Razan Shams

MS/PhD ECE student at KAUST developing Device Physics and MEMS. Experienced in nanofabrication and semiconductor processing. Passionate about applying material science and experimental physics to interdisciplinary challenges in engineering and technology.
CEMSE_IPL_Xiaowen

Xiaowen Zhang

Postdoctoral Research Fellow, Electrical and Computer Engineering

Veerappan Mani

Research Scientist, Sensors
Dr. Veerappan Mani is currently a Research Scientist at the Sensors Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST). He is one of the world’s top 2% scientists since 2020. Education and Early Career Dr. Veerappan Mani received his Ph.D. from the Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (NTUT), Taiwan in 2014. He worked as a research assistant professor at the Institute of Biochemical and Biomedical Engineering, Taipei Tech, Taiwan, from 2016 to 2019. He was a research visiting

Paulraj Gnanasekar

Postdoctoral Research Fellow (former), Photonics Laboratory
My research is focused on the synthesis of 2D materials by CVD approach and renewable hydrogen production during Ph.D. My current research is focused on electrochemical and photoelectrochemical N2 reduction, CO2 Reduction and oxidation applications using 2D heterostructures.​ Research Interests CO 2/N 2 Reduction Reaction Oxidation Reaction 2D Materials Chemical Vapour Deposition Renewable Energy Photoelectrochemisty Selected Publications G. Paulraj, P. Dharmaraj, V. Purushothaman, Jr-hau He and K. Jeganathan, Highly efficient and stable photoelectrochemical hydrogen evolution with 2D-NbS2/Si

Latifah Al Maghrabi

Latifah Al-Maghrabi is pursuing a master's degree in Electrical Engineering in the electrophysics track at King Abdullah University of Science and Technology (KAUST). Currently, the questions that guide Latifah's journey of investigation revolve around exploring novel lower dimensional materials for integration with group-III-nitride-based optoelectronic devices at the Photonics Laboratory at KAUST. By understanding the physics at the device level, she hopes to be able to enhance optoelectronics used for light and energy generation. In May 2018, Latifah graduated with a B.S. in Electrical

Chun-Ho Lin

Chun-Ho Lin obtained his Ph.D. in Electrical Engineering from King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Jr-Hau He in 2018. Lin completed his master’s degree in the Department of Electrical Engineering from the National Taiwan University and began his Ph.D. studies at KAUST in 2014. Research Interest Chun-Ho Lin's research interests include Perovskites, Nanophotonics, Flexible Electronics, Paper device, and 2D Materials.

Bashayr Alqahtani

Bashayr Alqahtani is an Electrical and Computer Engineering master’s student at King Abdullah University of Science and Technology, and a student at the KAUST Smart, Advanced Memory devices and Applications (SAMA) Laboratory under the supervision of Professor Nazek El-Atab. Her research interests include the fabrication of physics devices such as sensors for industrial and in-memory sensing applications.

Abdul Momin Syed

<> 5G and beyond (8)
KAUST-ECE-Graduate-Seminar-Atif-Shamim-Enabling-Next-Generation-Wireless-Communication-through-mm-Wave-Reconfigurable-Intelligent-Surface-(RIS)

Enabling Next Generation Wireless Communication through mm-Wave Reconfigurable Intelligent Surface (RIS)

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B9, L2, R2325

The mm-wave 5G and beyond communication systems significantly improve the data rate, user capacity, and latency, however, the electromagnetic (EM) wave propagation suffers from high atmospheric attenuation as compared to the sub-6 GHz bands. Therefore, the quality of wireless communication gets severely affected in an environment where multiple obstacles, such as buildings and trees, are present, and thus, communication coverage is typically limited to line of sight (LOS).
kaust-cemse-ece-ccsl-zhandos-zhakipov

Zhandos Zhakipov

Physical Layer Security of Wireless-powered NOMA-based Cognitive Radio Networks: Fundamentals & Challenges

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B1 L2 R2202

Abstract In the last decade, with the emergence of the internet of things (IoT) as well as machine-to-machine (M2M) paradigms, future wireless networks are targeting new critical services such as remote healthcare, surveillance, transportation, etc. In this regard, with the massive expected number of connected IoT and M2M devices, several requirements have been imposed by the regulatory bodies onto the deployment of 5G network. These requirements include, but not limited to, higher connectivity, reduced latency, as well as increased spectral and energy efficiency. Interestingly, the

Reconfigurable Intelligent Surface for Next-Generation Networks

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B1 L3 R3123

Reconfigurable intelligent surfaces (RISs) are now considered among the key enabling technologies for 6G systems. Empowered by the recent advances in meta-material, RISs are equipped with a large number of low-cost passive elements that allow for the modification of the radio waves in that they reflect, refract, and scatter radio signals in a controllable fashion to counteract the destructive effect of multipath fading. These features can be leveraged to transform the propagation environment into a smart space that can be programmable for the benefit of the communication application. Throughout this proposal, we study RIS-assisted systems from different perspectives, including performance analysis, system optimization, and channel estimation, to analyze and enhance the operation of such systems in different setups. Some possible future research directions to be considered are also highlighted.

Enabling Next Generation Wireless Communication through mm-Wave Reconfigurable Intelligent Surface (RIS)

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B9 L2 H2

The mm-wave 5G and beyond communication systems significantly improve the data rate, user capacity, and latency, however, the electromagnetic (EM) wave propagation suffers from high atmospheric attenuation as compared to the sub-6 GHz bands.

Masterclass on beyond 5G technological trends

1 min read ·
Beyond 5G Technological Trends November 17-19, 2021 Register here The standardization of fifth generation (5G) communications has been completed, and the 5G networks are being deployed worldwide. As a result, the visioning and planning of beyond 5G (B5G) and the sixth generation (6G) communications has begun, with an aim to provide communication services for the future demands of the 2030s. In this master class, the series of invited distinguished talks, offered by world-class experts in wireless communications and networks, will provide a vision for B5G/6G that could serve a research guide in

Asmaa Abdallah

Abdulkadir Celik

Associate Professor, University of Southampton
Abdulkadir Celik's research focuses on next-generation wireless communication systems, including network design, optimization, and emerging wireless technologies.
<> 5G networks (8)

KAUST scientists use new mathematical approach to protect aircraft from 5G interference

1 min read ·
Study offers first application of stochastic geometry for the safe deployment of 5G towers around runways

Mhd. Emad Alolaby

Key Enabling Techniques and Practical Considerations for Signal and Information Processing in 5G Cellular Network

Chung-An Shen, Associate Professor, National Taiwan University of Science and Technology

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B9 L2 H2

Abstract The 5th Generation (5G) wireless communication provides considerably enhanced user experiences and offers possibilities of more intriguing applications. In order to fulfil the requirements of 5G like low-latency, energy efficient, and high reliability, many enabling technologies from the physical layer signal processing to the design of network architecture are proposed which all increase the demand for more computing capabilities. This talk gives an overview of the practical considerations, challenges, and techniques for the 5G cellular network. In particular, this talk contains two

Securing 5G and Beyond Networks from Malware Epidemics: A Percolation Theoretic Approach

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B1 L3 R3119

This talk will introduce and motivate a percolation theoretic approach to characterize and thwart malware diffusion in dense wireless networks. First, a brief tutorial on percolation theory will be introduced. Then, the talk will explain the utilization of percolation theory to develop security countermeasures for malware epidemics in 5G and beyond networks.

Distributed Multi-Antenna Communications with Radio Stripes

Prof. Emil Björnson, KTH Royal Institute of Technology, Stockholm, Sweden

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KAUST

In this talk, we will consider an alternative approach for future networks: serve the users by antennas that are distributed over the coverage area. By shifting from a world where base stations are surrounded by users, to a world where each user is surrounded by antennas, we can deliver almost uniformly good data rates wherever the user is. This concept has recently been called Cell-Free Massive MIMO. A core practical challenge is to deploy such a distributed MIMO array affordably. One potential approach is to use radio stripes, which are cables with integrated antennas. We will take a close look at how these can be implemented and recent results on how communications algorithms can be designed to exploit their special characteristics.

Accepted paper at IEEE ICC 2016

1 min read ·
I. AlQerm and B. Shihada, "A Cooperative Online Learning Scheme for Resource Allocation in 5G Systems", in Proc. IEEE International Conference on Communications (ICC), pp. 1-7, 2016.

Accepted paper at IEEE Transactions on vehicular Technology

1 min read ·
I. AlQerm and B. Shihada, "Energy Efficient Power Allocation in Multi-tier 5G Networks Using Enhanced Online Learning", IEEE Transactions on vehicular Technology, 2017.

Our paper entitled "An Efficient Content Delivery System for 5G CRAN Employing Realistic Human Mobility" has been accepted for publication at IEEE Transactions on Mobile Computing 2018

1 min read ·
Our paper entitled "An Efficient Content Delivery System for 5G CRAN Employing Realistic Human Mobility" has been accepted for publication at IEEE Transactions on Mobile Computing 2018.
<> Autonomous Vehicle Navigation (8)

Developing Marine Robotics for the Western Indian Ocean - Needs, designs and applications

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B18 Fellowship Hall

Featured Sessions
Abstract The Western Indian Ocean (WIO) is one of the fastest warming parts of the global ocean. There is no doubt that this is due to Climate Change. Model projections indicate Sea Surface Temperature (SST) in the tropical WIO will rise some 5°C by 2100 with drastic destructive changes in the marine ecosystems and fisheries, impacting food security for the 60 M people who are dependent on this ocean. Inland droughts will accentuate this problem. By 2035 emergency food relief will be need in Mozambique, Kenya, Tanzania, Madagascar, Comoros, and Somalia (already happening). Emergency mitigation

Underwater Robot for Shallow Water Pipeline Inspection & Monitoring

Hassane Trigui, Research & Development Center, Aramco

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B18 Fellowship Hall

Featured Sessions
Abstract Remotely operated Vehicles (ROVs) are widely used in deep water to perform various types of activities in the Oil and Gas sector and beyond. However, for extreme shallow waters, that is less than 10 meters in depth, the ROV market is severely underserved. In addition, ROV operations in shallow waters are more challenging than deeper waters due to the difficulty in accessing shallow sites with large vessels that can support divers and ROVs in their operations. Robotics Engineers from Aramco have developed a unique underwater robot specifically designed to operate in shallow waters area

Autonomous marine mapping, current situation and future possibilities

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B18 Fellowship Hall

Featured Sessions
Abstract In the last decade marine robotics and autonomous research has started to grow in the Red Sea, led by KAUST researchers, marine startup companies and now with the various new Giga Projects. In the early days this work often had a heavy human component for the launch, recovery and control. New emerging technologies for remotely telemetry are helping to solve this, as are combined autonomous survey solutions. Using multiple autonomous systems, on the sea surface, underwater and airborne in a single survey campaign is proving to be extremely efficient with significantly more data being

Frontiers in Marine Research Robotics

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B18 Fellowship Hall

Featured Sessions
Abstract Marine robotics have evolved substantially since the early days of autonomous underwater vehicles which meant a multimillion-dollar vehicle always accompanied by a surface vehicle. An early step forward in scientific vehicles was the development of the buoyancy-driven autonomous underwater vehicles which could stay at sea for months and traverse large distances and depths down to 1000m, albeit slowly. Critical needs exist for vehicles that can map, image and characterize the sea bottom, and for intelligent fleet management schemes. The mesophotic (below diver accessible depths) and

At the Limits of the Red Sea - challenges of deep marine sciences

Prof. Froukje M. van der Zwan, Physical Science and Engineering, Earth Science and Engineering, King Abdullah University of Science and Technology

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B18 Fellowship Hall

Featured Sessions
Abstract The Red Sea is a unique marine environment where we can study the formation of a new ocean basin, which is host to rare ecosystems due to its young and enclosed character and special environmental conditions. The deep Red Sea Rift is particularly interesting as the new oceanic crust is formed by volcanic activity along the entire basin, which, together with hydrothermal activity and the occurrence of brine pools, provides unique habitats. The Red Sea Rift is >1,000 m deep, far past the limits of scuba diving, and reaches almost 3,000 m in some areas. Salinity is >40 PSU, and the

Harnessing the potential for robotics and automation for restoring the worlds coral reefs

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B18 Fellowship Hall

Featured Sessions
Abstract Restoration of Earth's ecosystems has accelerated as a critical management tool in the past decade, particularly for coral reefs where stakeholders have adopted restoration to offset continued declines in reef health. Most coral reef restoration programs remain locally targeted and sub-hectare, where scalability is generated through people networks. Of the few programs that are now beginning to operate at the largest multi-hectare scales - including the KAUST Reefscape Restoration Initiative (KRRI) - implementation of innovative robotics and automation is seen as key to deliver more

Deep benthic environments: an endless (but stimulating) challenge for marine robotics

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B18 Fellowship Hall

Featured Sessions
Abstract In the past 50 years, marine robotics had a huge impact on marine sciences, providing countless support tools for a better understanding of the benthic environments. The endless need for a higher level of resolution in our maps, the application of specific protocols for monitoring programs, measuring the different components of the water column, and collecting the smallest or most delicate biological samples have pushed the technology always over its limits. Finally, the introduction of AI in acoustic and underwater video technologies is bringing now the analyses to a higher level of

Robotics and Automation in Coral Monitoring and Restoration

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B18 Fellowship Hall

Featured Sessions
Abstract Monitoring and preservation of coral reefs are critical for marine biology research, economic development, and environmental protection. Given that long-term survey of marine environments and restoring bleached coral reefs are extremely labor-intensive, autonomous robots are emerging as one of the key solutions to address such challenge. In this talk, we present on-going projects at KAUST Robotics group in conceiving autonomous underwater robots for swift and safe navigation in complex environments to collect high-resolution coral images. We also discuss challenges and opportunities
<> biology (8)

AI4GH Seminar Series | Predicting Protein Function and Phenotype Associations

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B2 R5220

The amount of available protein sequences is rapidly increasing, mainly as a consequence of the development and application of high ​throughput sequencing technologies in the life sciences.

Genetic Algorithms for Optimization of Machine-learning Models and their Applications in Bioinformatics

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B3 L5 R5209

Abstract ​​​Machine-learning (ML) techniques have been widely applied to solve different problems in biology. However, biological data are large and complex, which often results in extremely intricate ML models. Frequently, these models may have poor performance or may be computationally unfeasible. This study presents a set of novel computational methods and focuses on the application of genetic algorithms (GAs) for the simplification and optimization of ML models and their applications to biological problems. The dissertation addresses the following three challenges. The first challenge is

AI4GH Seminar Series| Artificial Intelligence for Genomics and Health: Introduction and Overview

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B2 R5220

Abstract Genomics and health are prime areas for the development and application of novel intelligent algorithms due to a large amount of available research data, the high complexity of the problem, and the significant social and economic benefits of improving health outcomes in humans. In the past, genomics and health have been one of the key drivers in the development of Artificial Intelligence methods, including machine learning, expert systems, or graph-based algorithms. I will introduce the new seminar series on Artificial Intelligence for Genomics and Health (AI4GH), and then discuss our

Peak performance for proteins

1 min read ·
An improved peak fitting procedure enables a better determination of protein structures.

Disease researchers have a way with words

1 min read ·
Specialized word search method sheds light on phenotypic similarity of diseases.

The awesome scope of big data

2 min read ·
Sifting through huge amounts of data may bring a better understanding of whale shark social structures, protein targets for drug therapies and disease-causing genes.

PhD Dissertation Defense | Prioritizing Causative Genomic Variants by Integrating Molecular and Functional Annotations from Multiple Biomedical Ontologies

3 min read ·
CBRC PhD Student Azza Althagafi successfully defends her dissertation under the supervision of Associate Professor Robert Hoehndorf. She has been a member of the Bio-Ontology Research Group (BORG) since 2016. Her research interest lies in the crossroads of computer science and biology, leveraging AI techniques to explore the human genome's intricacies and its link to various diseases.

Ivan Viola

Professor, Computer Science
Professor Viola’s expertise lies in scientific visualization and visual computing. His research focuses on multiscale visualization and modeling of complex biological systems, ranging from cellular organisms to atomistic-level details.
<> body area networks (8)
Wearable health monitoring system with edge analytics for real-time diagnostics, emergency alerts, and secure cloud reporting.

On-Body HBC Networking

To advance innovations in next-generation Internet of Bodies (IoB) networks, there is a growing need for miniature, ultra-low-power devices capable of continuous and reliable operation. This need has led to a surge of interest in Human Body Communication (HBC), where nodes exchange messages directly through the human body as a secure and energy-efficient medium. With evidence showing that HBC can achieve up to 100× lower power consumption compared to conventional RF technologies, our research focuses on developing novel communication and networking techniques that facilitate connectivity over

AgriLink: Internet of Plants for Smart Agriculture

Dense vegetation severely attenuates 2.4–5 GHz RF links (additional foliage loss of order 1–3 dB/m, and often >30 dB across canopies), forcing higher transmit power or more relays in plant/greenhouse settings. In contrast, Plant-Body Communication (PBC) utilizes signals within the stem, where ionic pathways and distributed capacitances form a guided, low-radiation medium, thereby reducing path loss and environmental variability. We target two practical outcomes: 1. quantify and model the intra-plant channel across coupling modes (galvanic vs. capacitive), species (herbaceous Dieffenbachia vs
Close-up view of a microfabricated sensor chip used in advanced biomedical and communication systems.

Ultra-Low-Power HBC Transceiver ICs

The CCSL advances next-generation Human Body Communication (HBC) through innovative ASIC implementations that enable ultra-low power, secure, and efficient data transmission using the human body as a communication medium. Our research focuses on silicon-proven solutions that bridge the gap between theoretical HBC concepts and practical wearable/implantable applications. We develop mixed-signal transceivers that support multiple communication modes, adaptive signal processing, and AI-enhanced performance optimization. The lab's ASIC implementations demonstrate >100x energy efficiency
Overview of wearable sensing technologies for comprehensive human health monitoring.

BioLink: Internet of Body via HBC for Healthcare

Human Body Communication (HBC) is an innovative technology that uses the human body itself as a transmission medium for data exchange. This approach enables secure, energy-efficient, and reliable communication between smart health sensors, wearable devices, and medical implants in and around the body. Unlike traditional wireless methods that rely on radio frequency signals prone to interference and privacy risks, HBC offers low power consumption, reduced signal loss, and enhanced data privacy by transmitting signals through direct skin or body tissue contact. This project focuses on advancing

Raphaela Kethlim Souza Silva

Raphaela Silva is currently a Master student at the Sensors Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST). Education and Early Career Raphaela Silva received her bachelor degree from the department of Electrical Engineering in Federal University of Rio Grande do Norte, Brazil in 2018. In the following year she joined King Abdullah University of Science and Technology to work under the supervision of Professor Khaled Salama. Previously, in 2018, Raphaela worked during 6 months as a visiting student at KAUST, under the

Qi Huang

Education and early career: Qi (Dave) Huang received his Bachelor of Engineering degree in Southwest Petroleum University of China. He is now a master student in Communication and Computing Systems Lab, CEMSE, King Abdullah University of Science and Technology. Before joining KUAST, he was a visiting student of Communication and Computing Systems Lab from June 2021 to August 2021. Research interests: Circuit and system design of body area network, body channel characterization Awards and Distinctions Undergraduate national scholarship of China; Excellent graduate of Sichuan Province; Second

David Lago Cachón

Postdoctoral Research Fellow (former), Communication and Computing Systems Lab
Biography David Lago Cachón received his B.Sc. in Physics, specialization in Electronic, Automatism and Signal Processing in 2008 and his M.Sc. in Science and Technology of Materials in 2010, both from University of Oviedo. He obtained his PhD in Applied Physics in 2016, with qualification Excellent cum laude and proposed to Extraordinary doctorate award. At the same time, he has been highly implicated in Science Communication, given talks in schools, pubs and even a TEDx. Also, he has been interviewed and consulted by local and regional media. With some friends he created an astronomy club

Abdelhay Ali

Postdoctoral Research Fellow, Electrical and Computer Engineering
<> computation (8)

KAUST researchers publish new book on decision rule systems

1 min read ·
KAUST Postdoctoral Research Fellows Kerven Durdymyradov and Azimkhon Ostonov, along with Professor Mikhail Moshkov, have published a new book with Springer titled "Transforming Decision Rule Systems into Decision Trees: Syntactic Approach." The book is devoted to the transformation of decision rule systems into deterministic and nondeterministic decision trees that recognize the properties of these systems. It continues the development of the syntactic approach to the study of the transformation problem, which assumes the input data is unknown and only a system of decision rules exists to be

Professor Mikhail Moshkov’s new book published by Springer

1 min read ·
Professor Mikhail Moshkov’s new book, “Computation Trees: A Generalization of Decision Trees,” has been published by Springer. Moshkov’s book is devoted to the study of deterministic and nondeterministic computation trees. Computation trees are a natural generalization of decision trees: in addition to the one-place predicate-type operations (attributes) used in decision trees, computation trees can use multi-place predicate and function operations. These models arise in areas such as combinatorial optimization, computational geometry, and classification or prediction tasks, particularly when

Advances in Microelectromechanical Digital Circuit Design: Low Power Computation, Sensing and Beyond

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KAUST

Electromechanical switches were the core elements of the very first digital computers in early 20th century. While these switches were later replaced by the smaller, faster and more reliable "transistor" technology, they found a new life following the development of nanofabrication tools and Micro-electromechannical Systems (MEMS). In this seminar we will explore the most recent advances in the field of MEMS-based digital circuit and sensor design. We also examine the application of MEMS switches and resonators in building the most important blocks of a digital system, namely adders, multipliers, data converters, sequential and combinational complex logic, and discuss the future of this technology in the beyond-CMOS era.

From vehicles to teams in maritime operations

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B18 Fellowship Hall

Featured Sessions
Abstract “In his 1999 book The Age of Spiritual Machines, Ray Kurzweil proposed "The Law of Accelerating Returns", according to which the rate of change in a wide variety of evolutionary systems (including but not limited to the growth of technologies) tends to increase exponentially”. Ray Kurzweil, The Age of Spiritual Machines, Viking, 1999, Currently, underwater, surface, aerial, and space robotic vehicles are already providing unprecedented capabilities with a significant impact in maritime operations. But this is just the beginning. Initial progress in the field of uncrewed maritime

Efficient Computation Through Tuned Approximation

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B9 L2 R2322 H1

Numerical software is being reinvented to provide opportunities to tune dynamically the accuracy of computation to the requirements of the application, resulting in savings of memory, time, and energy. Floating point computation in science and engineering has a history of “oversolving” relative to expectations for many models. So often are real datatypes defaulted to double precision that GPUs did not gain wide acceptance until they provided in hardware operations not required in their original domain of graphics. However, computational science is now reverting to employ lower precision arithmetic where possible. Many matrix operations considered at a blockwise level allow for lower precision and many blocks can be approximated with low rank near equivalents.

Simulating evolution to understand a hidden switch

1 min read ·
Some organisms evolve an internal switch that can remain hidden for generations until stress flicks it on.

CovMT: Tracking virus mutations across the world

1 min read ·
An interactive platform helps users visualize where SARS-CoV-2 mutations start, how wide they spread and how infectious they are.

Cloud simulations get a dose of realism

1 min read ·
A focus on the fundamental physics of cloud formation leads to highly realistic simulations of different types of clouds.
<> Computational mathematics (8)
StochNum and Math4UQ participants SNSL Workshop 2025

New CRG award to develop scalable methods for partially observed stochastic optimal control

1 min read ·
KAUST Stochastic Numerics has been awarded a $900,000 Competitive Research Grant (CRG) for a 36‑month project on efficient hierarchical approximations for partially observed stochastic optimal control, co-led with Prof. Ibrahim Hoteit and including subawards to EPFL (Prof. Fabio Nobile) and WIAS Berlin (Prof. Christian Bayer).

Rigorous Model-Constrained Scientific Machine Learning for Digital Twins: A Computational Mathematics Perspective

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B1 L3 R3119

This talk will outline a principled pathway from traditional computational mathematics to rigorously grounded Scientific Machine Learning (SciML) and present recent Scientific Deep Learning (SciDL) methods for forward modeling, inverse and calibration problems, and uncertainty quantification, emphasizing mathematical structure, stability, and generalization.

Empowering Natural Intelligence with Artificial Intelligence: a Mathematician's Perspective

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B9, L2, R2322

A Dean’s Distinguished Lecture on natural intelligence, artificial intelligence and scientific machine learning.

In January 2020 Prof. Dimitrios Mitsotakis visits Applied PDE research group

1 min read ·
Prof. Dimitrios Mitsotakis from Victoria University Wellington New Zealand will be visiting our group from January 3rd - February 29th. Dimitrios is an expert in modelling and computations of water wave propagation.

Theodoros Katsaounis

Dr. Theodoros research interests are in the area of applied and computational mathematics with emphasis on the development, analysis and implementation of numerical methods for approximating solutions of PDE’s modelling various physical processes.

Pierre-David Letourneau

Visiting Student, Waves in Complex Media
Visiting Student, April 2012 - June 2012 Introduction ​Pierre-David Letourneau is currently a PhD candidate at Stanford University. He visited us from April 2012 to June 2012 and worked on fast algorithms for strong-scattering large-scale systems, and imaging through clutter media. Research Interests Pierre-David's research interests lie in the area of applied and computational mathematics with topics including imaging, inverse problems, waves in heterogeneous media as well as fast algorithms. His work focuses on both the theoretical and computational aspects of wave propagation, and includes

Jongho Park

Jongho Park is a Research Scientist at King Abdullah University of Science and Technology (KAUST) where his research focuses on the design and analysis of efficient numerical methods for variational problems.

Ioanna Mousikou

Short Bio Ms. Ioanna Mousikou is a Ph.D student in the AppliedPDE group of the Applied Mathematics and Computational Science program (AMCS) of CEMSE division at the King Abdullah University of Science and Technology, Saudi Arabia. During her second year at KAUST, she received a Master's degree in Applied Mathematics where the thesis was focused on numerical methods for hyperbolic conservation laws. Before joining KAUST, Ms. Ioanna completed undergraduate degree in Mathematics at the University of Cyprus. Education Profile M.Sc. KAUST, Saudi Arabia, 2016 B.Sc. Mathematics, University of Cyprus
<> computational predictions (8)

Demystifying Adversarial Patch Attacks and Defenses in the Physical World

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B9 R2325

In this talk, I will introduce a series of adversarial patch attacks in face recognition systems and autonomous driving cars, and present our recent studies in developing a zero-shot and patch-agnostic defense framework.

Towards an Early Warning System for Climate-Sensitive Infectious Diseases: Spatio-Temporal Modeling and Deep Learning for Dengue Forecasting in Brazil

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B5 R5209

This dissertation develops integrated spatio-temporal forecasting approaches that combine deep learning, climate data, spatial dependencies, and human mobility to improve dengue prediction and support early-warning systems in Brazil.

Deep Predictive Models for Mining Electronic Health Records

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B1 L4 R4214

There is an increasing growth in the amount of electronic health records (EHRs) being collected by healthcare facilities. Data mining techniques hold great potential to systematically use such data for identifying not only inefficiencies but also best practices that improve care and reduce costs. However, due to the complexity of EHR data, directly applying traditional machine learning techniques may yield unsatisfactory predictive performance. Recent advances in deep learning-based methods provide unprecedented ability to predict patients’ future health status, but they still suffer from the sparsity issue of EHR data.

Professor Marc Genton named Distinguished Professor of Statistics at KAUST

1 min read ·
Marc G.Genton, Professor of Statistics in the Division of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), has been appointed by KAUST President Jean-Lou Chameau to Distinguished Professor of Statistics.

Professor Marc Genton and former postdoctoral fellow win the 2017 Wilcoxon Award

1 min read ·
Marc Genton, KAUST distinguished professor of statistics, and his former postdoctoral fellow Stefano Castruccio, have jointly won the 2017 Wilcoxon Award for best applications paper in Technometrics. Technometrics is a journal of statistics for the Physical, Chemical and Engineering Sciences, and is published quarterly by the American Society for Quality and the American Statistical Association. The award announcement was made at the 61st Annual Fall Technical Conference (FTC) in Philadelphia from October 5 to 6, 2017. Genton and Castruccio's paper was entitled "Compressing an ensemble with

Professor Raul Tempone awarded Germany’s most endowed research award

2 min read ·
On May 8, Italian-Uruguayan KAUST Professor Raul Fidel Tempone received the Alexander von Humboldt professorship at RWTH Aachen at a ceremony in Berlin, Germany. The award recognizes Tempone as an international leader in mathematics for uncertainty quantification, a fairly new mathematical specialization that is currently making a breakthrough. Tempone teaches and performs research in the University's Applied Mathematics and Computational Science program.

Marc Genton received an ISI Service Award 2019

3 min read ·
Marc Genton, Chair and Distinguished Professor of the Statistics Program of KAUST and Head of the Spatio-Temporal Statistics and Data Science Research Group, received an International Statistical Institute (ISI) Service Award 2019 for his efforts and leadership as Editor-in-Chief of the journal Stat. Professor Genton received his award at the Awards Ceremony during the World Statistical Congress (WSC) 2019 held in Kuala Lumpur, Malaysia, 18-23 August 2019.

Marc G. Genton

Al-Khawarzmi Distinguished Professor, Statistics
Professor Genton’s pioneering research on large-scale spatial and temporal data has profoundly affected the field of environmental statistics. He is an expert in spatial and spatio-temporal statistics with applications to environmental problems.
<> Cryptography (8)

Assessing Network Middlebox Impact on End-to-End Protocol Behavior via a Distributed and Reprogrammable Framework

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B5 L5 R5220

This dissertation focuses on the detection and verification of network middleboxes thanks to the creation of a new distributed framework called NoPASARAN.

Seamless Application of Post-Quantum Cryptography

Quantum Computing is a promising computing paradigm that leverages quantum physics to overcome the trend declination of Moore's Law. While this is a substantial revolutionary boost to computing systems, it is rather disruptive to digital security that is genuinely built on cryptographic primitives like RSA, ECC, and AES. To give a feel of this boost, it would take a quantum computer only few hours to break a cryptographic primitive, whereas a decent supercomputer may need thousands of years. Although production-grade quantum computers may be a decade away, the assumption that their threat

mR_LWE-CP-ABE: a Recoverable CP-ABE protocol for Post-quantum Cryptography

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B9 L2 R2325

This talk presents a novel lattice-based revocable CP-ABE scheme built upon lattice-based cryptography to addresses the challenge of efficient user revocation in post-quantum secure cloud environments by leveraging semi-trusted mediators to enable multi-step decryption without costly re-encryption.

Implementation and Statistical Characterization of High Efficiency True Random Number Generators (RNGs) for Cryptographic Applications

Practical implementations of RNGs can be classified into two major categories, namely pseudo-RNGs and physical-RNGs. Pseudo-RNGs are deterministic, numeric algorithms that expand short seeds into long bit sequences. Conversely, physical-RNGs rely on microscopic processes resulting in macroscopic observables which can be regarded as random noise (quantum, thermal,…). Pseudo-RNGs generally depart more from the ideal specifications: are based on finite memory algorithms, thus exhibit periodic behaviors and generate correlated samples and are therefore unsuitable for data security and cryptography

Practical Cryptographic Framework to Manage Security and Privacy for IoT Endpoint devices

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B1 L4 R4214

In this talk, the speaker will provide a high-level introduction to his recent research on IoT endpoint security. Firstly, he will introduce requirements followed by a discussion on cryptographic algorithm implementation. He will mainly focus on an overview of efficient cryptography for IoT endpoints and system privacy issues. Then he will discuss security management approaches, positives, negatives and challenges to resolve, linking to the endpoint device security section with regards to realistic device needs/capabilities.

Sian-Jheng Lin

Postdoctoral Research Fellow (former), Electrical and Computer Engineering
Postdoctoral Research Fellow, Electrical and Computer Engineering , King Abdullah University of Science and Technology. Project Researcher, University of Science and Technology of China (USTC), PRC.

Ilies Benhabbour

Ph.D. Student, Computer Science
Ilies' research focuses on fingerprinting of intra network semi active components in end-to-end communications.

Elmootazbellah Elnozahy

Professor (former), Computer Science
Elmootazbellah (Mootaz) Elnozahy is a renowned computer scientist who has filed, individually and with colleagues, 58 U.S. patents. He has successfully secured research and development funding grants of ~$320M.
<> discrete differential geometry (8)

Isotropic Geometry and Applications in Geometric Computing

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B3 L5 R5209

This thesis addresses challenges in computational design and fabrication, particularly in the geometry of architectural gridshell structures and their approximation, by solving nonlinear optimization problems.

Towards Flexible Polyhedral Nets

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B4 L5 R5209

This thesis research provides a comprehensive classification of flexible geometric nets of arbitrary size in both Euclidean and isotropic geometries, revealing that only two distinct classes exist in each setting and demonstrating their relationship to mechanical design.

Workshop on Applied Geometry and Visual Computing

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B4 L5 R5209

The “KAUST Workshop on Applied Geometry and Visual Computing” brings together leading scientists from Europe and the United States, presenting their latest results in - Applied and Discrete Differential Geometry - Geometry Processing - Computational Fabrication The talks are related to various problems in Applied Mathematics in general and to further areas of Visual Computing such as Computer Graphics, Physical Simulation and Scientific Visualization. The workshop provides a great opportunity to learn about latest developments and to discuss ongoing work with top researchers in the field.

Victor Ceballos Inza

Ph.D. Student, Computer Science
Victor Ceballos Inza is a Ph.D. student under the supervision of Prof. Helmut Pottmann at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST).

Pirahmad Olimjoni

Khusrav Yorov

Khusrav's research focuses on geometry and its application in real life, especially differential geometry, discrete differential geometry, and isotropic geometry.

Hui Wang

Postdoctoral Research Fellow, Computer Science
Hui Wang was a Postdoctoral Research Fellow at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST), working with Professor Helmut Pottmann until June 2023 Education and Early Career Before joining VCC, Hui Wang was a joint PhD student of Prof. Helmut Pottmann’s Applied Geometry group in TU Wien for two years (2017.9-2019.10). She got her PhD in Dalian University of Technology (DUT) in 2020. Hui Wang's current research interests include architectural geometry, discrete differential geometry, geometry processing, and computational design. Education

Anthony Ramos

Anthony Ramos is an MS/PhD Student at Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Helmut Pottman in his research group. Education and Early Career Anthony have obtained Bachelor's degree in Physicist from Yachay Tech University, Urcuqui, Ecuador - government project with the idea of making an international university for the country, from which he was part of the second generation of students. Research Interest Anthony Ramos is passionate about geometry and programming. He loves to bring problems to
<> energy storage (8)

AI-based hydrogen plant models improve power grid stability

1 min read ·
Realistic AI models of hydrogen plants help stabilize power grids with high levels of renewable energy.
aerial-shot-of-wind-generator-turbines

Accounting for extreme weather to boost energy system reliability

1 min read ·
A computer model that factors in extreme weather events offers insights to improve the design of NEOM’s integrated renewable power, water and heating sectors.

Energy Conservation in Adaptive Filtering

1 min read ·
A. H. Sayed, Tareq Y. Al-Naffouri, and Vitor H. Nascimento, "Energy conservation in adaptive filtering", Nonlinear Signal and Image processing: Theory, Methods, and Applications, CRC Press, November 2003. Introduction: The study of the steady-state and transient performance of adaptive filters is a challenging task because of the nonlinear and stochastic nature of their update equations (e.g., References 1 to 4). The purpose of this chapter is to provide an overview of an energy-conservation approach to study the performance of adaptive filters in a unified manner.4 The approach is based on

Single-electrode material streamlines functions into a tiny chip

1 min read ·
Ruthenium oxide is used to integrate energy-storing microsupercapacitors and thin-film electronics at the transistor level.

Sanjit Majhi

Postdoctoral Research Fellow, Sensors
Sanjit Manohar Majhi has recently joined the Sensors group, as a Postdoctoral fellow. Dr. Majhi currently focused on the synthesis of nanomaterials based on 1D/2D metal oxides for gas and biosensing applications. Education and early career Sanjit Manohar Majhi received his Ph.D. degree from the department of Electronic Information Materials Engineering in Chonbuk National University, South Korea in August 2017. He received his master degree in Chemistry from Utkal University, Bhubaneswar in India in 2008. He joined recently in King Abdullah University of Science and Technology, to work under

Mariam Elshiekh

Research Interests Mariam’s research interests include renewable energy sources integration into electrical power grids, superconductivity applications, and energy storage systems. She is also interested in developing DC circuit breakers for HVDC systems. Professional Profile 2022-present: Research Engineer, KAUST, Thuwal, Saudi Arabia 2020-2021: Lecturer, Tanta University, Tanta, Egypt 2019-2020: Visiting Researcher, Strathclyde University, Glasgow, UK 2016-2020: PhD Researcher, University of Bath, Bath, UK 2009-2015: Teaching assistant, Tanta University, Tanta, Egypt Education Profile M.Sc

Husam N. Alshareef

Professor Husam Alshareef leads research in nanomaterials for energy storage and electronics.

Ahmed Rezk

Research Interests Ahmed is an experienced Mechanical Engineer in Mechanical Design, Process Engineering, Prototyping, Simulation, Manufacturing, Testing and commissioning of different industrial projects. His interest is in development of the process engineering technologies practically through building innovated electromechanical setups to be valid for efficient transition from small lab scale to the commercialized industrial field and achieving the system reliability. He is skilled in software such as AutoCAD plant 3D, SolidWorks, Catia, CAD/CAM, ANSYS, HYSYS and MATLAB. Professional
<> environment (8)

A Comprehensive Perception and Decision-making Pipeline for Autonomous Surface Vehicle Navigation in Aquatic Environments

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B3 L5 R5220

This talk addresses the challenges hindering widespread adoption of Autonomous Surface Vehicles (ASV), focusing on safety and robustness, and presents perception and decision-making frameworks, including LiDAR-based obstacle detection, adaptive collision avoidance, and ASV deployment for water quality monitoring, concluding with open problems for future research.

Challenges and opportunities for Satellite Spectrum/Orbit Access (ITU and the International Regulatory Environment)

Prof. Yvon Henri, International Telecom Union, Geneva, Switzerland

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KAUST

Noting that the trend of development and utilization of small satellite technologies is a global phenomenon, and it is expected to bring benefits to the entire world, including both developed and developing economies, this talk goes over different spectrum & orbit access issues related to the development and deployment of these small satellite networks.

The KAUST 2023 Workshop on Statistics

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B18 R4203

The workshop will feature the latest research on statistical methods and modeling to address real-world challenges in health, environment, and sustainability.

Simple statistics can be good enough

1 min read ·
Study of the mismatch between spatial environmental data and a commonly used statistical analysis suggests simpler statistics are sufficient in many cases.

Cutting datasets down to size

1 min read ·
A powerful statistical tool could significantly reduce the burden of analyzing very large datasets.

Remote sensing of toxic algal blooms

1 min read ·
Algal blooms in the Red Sea can be detected with a new method that accounts for dust storms and aerosols.

Wildfire simulation heats up

1 min read ·
Computational models capture the capricious behavior of forest fires.

Professor Bolin earns American Statistical Association Section on Statistics and the Environment Early Investigator Award

2 min read ·
Prof. David Bolin has been selected for the American Statistical Association Section on Statistics and the Environment Early Investigator (ENVR) Award for his outstanding contributions to environmental statistics.
<> genome (8)

AI speeds up human embryo model research

1 min read ·
Deep-learning tool outperforms human experts at classifying lab-grown embryo-like structures, enabling advances in developmental biology and drug discovery.

New genetic maps expected to improve personalized medicine for underrepresented populations

1 min read ·
New pangenome graphs made using exclusively Saudi and Japanese samples give new genetic insights on these two populations

AI4GH Seminar Series - Computational Modeling of Malaria Metabolism Reveals Different Stages and Species Nutrient Preferences and Drug Targets

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B2 R5220

Malaria kills nearly one-half million people a year and over 1 billion people are at risk of becoming infected by the parasite. Plasmodial infections are difficult to treat for a myriad of reasons, but the ability of the organism to remain latent in hosts and the complex life cycles greatly contributed to the difficulty in treat malaria.

A Whole-genome Model of DNA Replication in Human Cells

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B5 L5 R5209

DNA replication is a fundamental cellular process and its precise regulation is crucial for maintaining genomic integrity. Inspired by the mathematical parallelism between DNA replication and the nucleation problem in one-dimensional crystal growth kinetics, we introduce a model that maps whole-genome replication dynamics based on the firing rate profiles of replication origins and fork movement.

Our work on mining growth phenotype data accepted by Bioinformatics

1 min read ·
​​Congratulates Majed and Hiro on their work on developing a novel constant-column biclustering algorithm for mining co-fit genes from genome-scale growth phenotype data which was accepted by Bioinformatics.

Fourth PhD graduated from SFB Group

1 min read ·
SFB Group graduated its fourth Ph.D. student - Dr. Majed Alzahrani!

Former KAUST VSRP student wins Best Talk Award at ISMB 2020

2 min read ·
Runar Reve, a former KAUST Visiting Student Research Program (VSRP) student, recently received the International Society for Computational Biology’s (ISCB) Bio-Ontologies COSI – Best Talk Award at the 28th Conference on Intelligent Systems for Molecular Biology (ISMB) 2020.

Runar Reve

Visiting Student, Bio-Ontology Research Group
​Runar Reve is from Klepp, Rogaland, in Norway. He is currently in his industry year as a visiting student for his bachelor's degree in Artificial Intelligence and Robotics at Aberystwyth University in Wales and will obtain his degree by the summer of 2021. He is currently working with Professor Robert Hoehndorf Bio-Ontology Research Group (BORG) on genome-wide association study (GWAS) to find variants, or sets of variants, in genomes that can result in genetic disease.​ Research Interests Genome-Wide Association Studies​. Education ​Undergrad in Artificial Intelligence (with integrated year
<> Indoor localization (8)

Abdelgabar Ahmed

Working on robust urban localization by fusing GNSS, vision, and inertial sensors to mitigate multipath effects. Developing theoretical performance bounds on GNSS localizability using spatial statistical models of satellite geometry and signal availability.

Signal Processing and Optimization Techniques for High Accuracy Indoor Localization, Tracking, and Attitude Determination

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B1 L3 R3119

High-accuracy indoor localization and tracking systems are essential for many modern applications and technologies. However, accurate location estimation of moving targets is challenging. This thesis addresses the challenges in indoor localization and tracking systems and proposes several solutions. A novel signal design, which we named Differential Zadoff-Chu, allows us to develop algorithms that accurately estimate the distances of static and moving targets even under random Doppler shifts. The results show that the proposed algorithms outperform the state-of-the-art in terms of both accuracy and complexity.

Mohammed Al-Sharif Does Internship at California Institute of Technology

1 min read ·
Since February 2020, ISL student Mohammed Al-Sharif has been participating in an internship at the California Institute of Technology. He was working with renowned Professor Babak Hassibi at Caltech's Electrical Engineering department. The topic they are working on is indoor localization based on Riemannian optimization.

Sameh Sorour

Postdoctoral Research Fellow (former), Communication Theory Lab
Postdoctoral Research Fellow at King Abdullah University of Science and Technology (KAUST),Assistant Professor at King Fahd University of Petroleum and Minerals (KFUPM) since September 2013.

Safwan .H Ibrahim

Consultant-Technical Lead at KAUST (King Abdullah University of Science and Technology).

Reema Alnafisi

M.S. student, advised by Professor Tareq Al-Naffouri under the Information System Lab (ISL). at King Abdullah University of Science and Technology (KAUST)

Khaqan Majeed

Intern at King Abdullah University of Science and Technology (KAUST), PhD candidate at McMaster University.

Hui Chen

Ph.D. Student (former), Electrical and Computer Engineering
Ph.D. degree Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST) ,Currently a Ph.D. student working on localization & tracking and gesture recognition.
<> integrated photonics (8)

Optica: Dynamic gratings enable high-performance tunable quantum-dot lasers

1 min read ·
Single-mode, widely tunable semiconductor lasers are essential for coherent communications, precision sensing, and reconfigurable photonic systems. Yet many existing approaches rely on regrowth, etched gratings, or other fabrication-intensive strategies that increase complexity and constrain scalability. In their new Optica paper, “ Mode control and dynamic population gratings in quantum-dot lasers,” researchers from KAUST’s Integrated Photonics Lab demonstrate an alternative mode-control mechanism that does not depend on such complex fabrication steps. The key idea is to exploit dynamic

Low-Noise Tunable Quantum-Dot Lasers for Coherent FMCW Ranging and High-Speed Optical Communications

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B9 R2325

This talk presents the development of low-noise, highly linear quantum-dot (QD) tunable lasers utilizing dynamic population gratings (DPGs) to achieve record-breaking coherence and simplified fabrication for next-generation optical communications and sensing applications like LiDAR.

Review in Nature Reviews EE: Advancing Silicon Photonics with CMOS

1 min read ·
Review Article Published in Nature Reviews Electrical Engineering: Advances in Silicon Photonics and CMOS Co-Integration
KAUST-CEMSE-ECE-IPL-Nikita-Kondratyev

Nikita Kondratyev

Mikhail Mishevskii

Mikhail received the B.S. degree in applied mathematics and physics from Novosibirsk State, Novosibirsk, Russia and received a master's degree with honors from the Skolkovo Institute of Science and Technology (Skoltech). His research interests include: nonlinear optics, integrated photonics, ultrafast lasers, frequency comb generation. During his time at Skoltech participated in the Skoltech Translational Research and Innovation Program industrial project to create a pulsed submicron laser for pumping a single-photon quantum light source. Mikhail awarded with Scholarship of the President of

Aleksandr Movsisian

Aleksandr received his bachelor’s degree in 2023 in Physics from Moscow State University (MSU, ranked first in Russia) and completed a master’s degree in Physics with honors at the same institution. He has over two years of research experience in quantum optics, optomechanics, and quantum measurement theory as part of the LIGO group at MSU. His work has focused on squeezed states of light, measurement topologies, and methods to overcome the Standard Quantum Limit, resulting in two first-author publications in JOSA B and Optics Letters. Aleksandr also gained hands-on experimental experience at

Aram Mkrtchyan

Postdoctoral Research Fellow, Electrical and Computer Engineering
Yating Wan

Yating Wan

Dr. Yating Wan, an assistant professor of electrical and computer engineering at KAUST, excels in silicon photonics, with special emphasis on the integration of on-chip light sources.
<> ISAC (8)

Xia Dexiao

Dr. Dexiao Xia is a Postdoctor in the Computer, Electrical, and Mathematical Sciences and Engineering Division at KAUST. His research focuses on phased-array, integrated sensing and communication (ISAC), and AI-driven adaptive system.
kaust-cemse-ece-ccsl-changhao-he

Changhao He

kaust-cemse-ece-ccsl-yousef-awad

Yousef Awad

kaust-cemse-ece-ccsl-bumin-kagan-yildirim

Bumin Kagan Yildirim

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Bang Huang works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Bang Huang received the M.S. degree (with honors) in electrical engineering and Ph.D degree in information and communication engineering from the School of Information and Communication Engineering (SICE), University of Electronic Science and Technology of China (UESTC), Chengdu, China, in

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Xiaowei Pang is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Xiaowei Pang received her B.S. degree in Telecommunication Engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and her Ph.D. degree in Information and Communication Engineering from Dalian University of Technology, Dalian, China, in 2024. From 2021 to 2022

Ahmed Nasser Ismail

Postdoctoral Research Fellow, Electrical and Computer Engineering

Ahmed Hussain

<> latent Gaussian models (8)

Dr. Haziq Jamil Delivers International Guest Lecture at UIN Mataram

1 min read ·
Our research group continues to expand its global footprint and strengthen international academic ties. Dr. Haziq Jamil, a Research Specialist in the BAYESCOMP team at KAUST, was invited to deliver an online international guest lecture at the Universitas Islam Negeri (UIN) Mataram in Indonesia.

A Unified and Computationally Efficient Non-Gaussian Statistical Modeling Framework

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B4 R5209

This thesis develops a linear latent non-Gaussian modeling framework that extends latent Gaussian models to accommodate skewness, heavy tails, and extremes while preserving computational tractability, along with its implementation in the R package ngme2.

On Cross Validation, Log Gaussian Cox Process and Variational Bayes

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This dissertation advances Bayesian computation by developing a cross validation approach to assess LGCPs defined on Euclidean, manifolds or network domains and improving skewed posterior approximations for LGMs.

excursions

excursions: A Framework for Probabilistic Excursion Sets and Contour Inference

MetricGraph

MetricGraph: A Statistical Framework for Modeling Gaussian Fields on Metric Graphs

Mastering Network Spatial Statistics with the MetricGraph R Package

1 min read ·
A new open-access mini-course is expanding access to advanced network spatial statistics through practical training with the MetricGraph package R, a powerful tool developed by David Bolin (KAUST), Alexandre B. Simas (KAUST), and Jonas Wallin (Lund University) for modeling data on network structures such as road systems and river basins. Presented by Bolin and Simas at the University of Glasgow during the “ INLA: Past, Present, and Future” workshop, the mini-course provides step-by-step tutorials, real datasets, and comprehensive R code, all freely available online, opening new avenues for

Criticism and robustification of latent Gaussian models

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B1 L4 R4102

Latent Gaussian models (LGM) are widely used but struggle with certain datasets that contain non-Gaussian features, such as sudden jumps or spikes. This dissertation aims to provide tools for researchers to check the adequacy of the fitted LGM (criticism); if the check fails, offer efficient and user-friendly implementations of latent non-Gaussian models, which lead to more robust inferences (robustification).

Haavard Rue

Program Chair, Statistics
Professor Haavard Rue is an internationally recognized expert in Bayesian computational statistics.
<> Localization (8)

Muhanned Alsaif

Young professional with a robust background in research and engineering, specializing in communication and signal processing applications for estimation. Previous experience: positioning using GNSS. Current experience: subsurface formation estimation using downhole and surface logs.

Abdulkarem Badiea Alshaibani

MS Student at the Information Science Lab at the King Abdullah University of Science and Technology (KAUST).

Estimation and control of underwater optical wireless communication systems

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B18 Fellowship Hall

Featured Sessions
Abstract Underwater optical wireless communication (UOWC) technologies are essential for the growth of future underwater communication applications. As the demand for capacity increases, UOWC is considered an emerging alternative technology in the underwater communication area. However, maintaining a controlled line-of-sight link between transmitter and receiver is a significant challenge because the alignment angle required for trajectory tracking control is not directly measured and has to be estimated. In this talk, I will present our recent works on estimating the alignment angle between

Tareq Al-Naffouri

Professor Al-Naffouri's research focuses on designing and analyzing wireless communication systems, particularly spectrum sharing, cognitive radio, energy efficiency and security within the context of advanced technologies like 5G.

Nasir Saeed

Postdoctoral Research Fellow, Electrical and Computer Engineering
Postdoctoral Fellow at Communication Theory Lab, King Abdullah University of Science and Technology (KAUST) working with Professor Mohamed-Slim Alouini and Professor Tareq Y. Al-naffouri ,Associate Professor with the Department of Electrical and Communication Engineering, United Arab Emirates University (UAEU)

Mohamed Siala

Visiting Researcher (former), Electrical and Computer Engineering
Visiting Faculty, Computer, Electrical and Mathematical Sciences and Engineering, KAUST, KSA. On Sabbatical Leave from SUP’COM, Tunisia.

Mazen Mohamed Aboubakrelseddik Abouelezz

Visiting student at King Abdullah University of Science and Technology (KAUST)

Husam N. Alshareef

Professor Husam Alshareef leads research in nanomaterials for energy storage and electronics.
<> magnetism (8)

Professor Jurgen Kosel Elevated To Senior Member Of IEEE

1 min read ·
Prof. Jurgen Kosel has been elevated to the rank of Senior Member of IEEE. This is considered an important honor since only 8% of nearly 400,000 IEEE members are Senior Members because of their superior professional achievements.

CEMSE Bridging science: IEEE-NEMS best paper award bestowed to CEMSE for scientific boundaries crossing

1 min read ·
Scientific boundary-crossing initiatives are what help scientists stepping across boundary lines that traditionally mark the divide between scientific disciplines.

Jurgen Kosel delivers seminar at Berkeley Sensor and Actuator Center

1 min read ·
The Berkeley Sensor & Actuator Center (BSAC), founded in 1986 as the National Science Foundation Industry/University Cooperative Research Center for Microsensors and Microactuators. Professor Kosel spoke about magnetic micro- and nanosystems research being conducted at the Sensing, Magnetism, and Microsystems group at KAUST.

KAUST Ph.D. student wins Magnetism as Art Showcase Award

1 min read ·
Jose Efrain Perez, a Ph.D. student based in the University's Sensing, Magnetism and Microsystems Laboratory, won the Magnetism as Art Showcase People's Choice Award at the 62nd Annual Conference on Magnetism and Magnetic Materials (MMM) 2017 for his artwork entitled "Magnetic Nanobeacon." Efrai­n Perez, who is supervised by Professor Jurgen Kosel, won the award at the MMM's annual showcase which was held in Pittsburgh from November 6 to 10, 2017. His colleague Zahra Albu presented and accepted the award on his behalf.

KAUST students win top honors at ICM 2018

1 min read ·
KAUST Ph.D. students Abdullah S. Almansouri and Hanan Mohammed recently won top honors at the 21st International Conference on Magnetism (ICM 2018), which took place in San Francisco, U.S., from July 15 to 20. Almansouri won the Best Poster Award, while Mohammed won the People's Choice Award in the Magnetism as Art Showcase. The ICM is an international conference series attracting more than 2,000 global attendees, and it continues with a series of meetings that are held every three years around the world.

Democratizing electronics one step at a time

3 min read ·
"You would not believe how many amazingly talented people there are in the world, but they often are just not exposed to opportunities," noted Muhammad Mustafa Hussain, KAUST professor of electrical engineering and currently a visiting professor at the University of California, Berkeley. He is determined to try and change this—one step at a time.

Ismail Enes Uysal

Ismail Enes Uysal is a Ph.D. candidate in Electrical engineering at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Hakan Bagci. Ismail received the Bachelor of Science and Master of Science degrees in Physics from Koc University, Turkey in 2009 and 2011, respectively. Research Interests Ismail's research interests include Computational physics and electromagnetics scattering properties of dispersive media and plasmonic structures. Education Profile M.S. in Physics, Koc University, Istanbul, Turkey 2011 B.S. in Physics, Koc University, Istanbul

David Lago Cachón

Postdoctoral Research Fellow (former), Communication and Computing Systems Lab
Biography David Lago Cachón received his B.Sc. in Physics, specialization in Electronic, Automatism and Signal Processing in 2008 and his M.Sc. in Science and Technology of Materials in 2010, both from University of Oviedo. He obtained his PhD in Applied Physics in 2016, with qualification Excellent cum laude and proposed to Extraordinary doctorate award. At the same time, he has been highly implicated in Science Communication, given talks in schools, pubs and even a TEDx. Also, he has been interviewed and consulted by local and regional media. With some friends he created an astronomy club
<> material science and engineering (8)

Graphene is taking charge

1 min read ·
Graphene-based capacitors prove useful in advanced non-linear electronics.

Perfect absorption graphene style

1 min read ·
A tiny device broadens the bandwith to enable absorption with wide-reaching potential for electrical engineering.

Sensors for a light touch

1 min read ·
Biocompatible tactile sensors based on magnetic hair-like structures enable new applications for touch sensors.

Nanoscale patterning is better with gas

1 min read ·
Adding a gas enhances the processing of hybrid organic-inorganic materials for improved solar cells.

Tweaking the perfect recipe

1 min read ·
Adjusting the cooking time is all it takes to tune the magnetic properties of these multi-functional iron nanowires.

A simple nose for noxious gases

1 min read ·
Tunable porous MOF materials interface with electrodes to sound the alarm at the first sniff of hydrogen sulfide.

The raw power of human motion

1 min read ·
Standalone power modules that harvest and convert vibrations from their surroundings into electricity could soon fuel future microsystems.

Single-electrode material streamlines functions into a tiny chip

1 min read ·
Ruthenium oxide is used to integrate energy-storing microsupercapacitors and thin-film electronics at the transistor level.
<> MOCVD (8)

Blue LED material extended to Green, Yellow, and now Red

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KAUST

In this seminar, the science of MOCVD, the material science of InGaN, and the new-born InGaN-based red LED performance will be discussed. The three primary colors in light are RGB. Green and blue LEDs have been realized by using InGaN active region. The current red LEDs are based on AlGaAs or InGaP as the active region. If we can realize red LEDs by InGaN, it is possible to integrate RGB LEDs in a wafer. Such RGB integration is a breakthrough to develop the next displays, so-called, micro-LED displays that are the next after the OLED displays, and functional LED lightings.

Special Speaker Prof. Elhadj Dogheche from Institute of Electronic Microelectronic & Nanotechnology IEMN CNRS, University of Valenciennes France.

1 min read ·
It was our honor to have the special speaker Prof. Elhadj Dogheche from Institute of Electronic Microelectronic and Nanotechnology IEMN CNRS, University of Valenciennes France to give us a presentation on New Generation on Gallium Nitride based High Speed Photonic Devices in the 216th Journal Club Meeting.​​

Kuang-Hui and Hamad filed a U.S. patent application on their ground-breaking MOCVD technologies!

1 min read ·
Kuang-Hui and Hamad filed a U.S. patent application on their ground-breaking MOCVD technologies!

Kuang-Hui and Hamad filed the second U.S. patent application on their ground-breaking MOCVD technologies!

1 min read ·
Kuang-Hui and Hamad filed the second U.S. patent application on their ground-breaking MOCVD technologies!

Kuang-Hui delivered two contributed talks on extremely high-temperature MOCVD reactors at OMVPE Conference in Santa Fe, USA!

1 min read ·
Kuang-Hui delivered two contributed talks on extremely high-temperature MOCVD reactors at OMVPE Conference in Santa Fe, USA!

Kuang-Hui's paper on extremely high temperature MOCVD gets accepted by Journal of Crystal Growth!

1 min read ·
Kuang-Hui's paper on extremely high-temperature MOCVD gets accepted by the Journal of Crystal Growth!

Haiding's paper on MOCVD growth of three phrases gets accepted by Crystal Growth & Design!

1 min read ·
Haiding's paper on MOCVD growth of three phrases gets accepted by Crystal Growth & Design!

Haiding Sun

Postdoctoral Research Fellow, Advanced Semiconductor Laboratory
Haiding Sun was a Postdoctoral Research Fellow working with Professor Xiaohang Li at the Advanced Semiconductor Laboratory at King Abdullah University of Science and Technology (KAUST). Education and Early Career Dr. Sun received his Ph.D. in Electrical Engineering from Boston University, Massachusetts, in the United States in 2015. His Ph.D. dissertation title was “Development of Aluminum Gallium Nitride-Based Emitters In The Form of Graded-Index Separate Confinement Heterostructure (GRINSCH)." Research Interests Dr. Sun ’s research works cover various aspects of semiconductor device designs
<> network security (8)

Chaabane Mankai

Surrounded by bright minds and groundbreaking research, KAUST is a great place to learn and grow.

SeRBER Videos

Videos Marc Dacier delivered a talk at the DSRC Seminar organized online by the Technology Innovation Institute TII in Abu Dhabi, UAE. Elisa Chiapponi presented a teaser of her paper " An industrial perspective on web scrapers' characteristics and open issues" published at the IEEE/IFIP DSN 2022 Industry Track. Marc Dacier discussed SDN's security challenges, debated strategies to monitor and protect SDN-enabled networks, and proposed methods and strategies to leverage SDN's flexibility for designing new security mechanisms. Marc Dacier explained what network security is and how it operates

Network Security, Internet Measurement and Threat Intelligence

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B9 L2 H2 H2

In this talk, we will show how, through a large scale Internet measurement campaign, we have been able to experimentally validate a novel technique to automatically detect malicious webscrapers bots taking advantage of so called Residential IP proxy providers. That technique has then been deployed in a real world environment and enabled us, thanks to a novel geolocalization technique, to identify malicious actors hiding behind these infrastructures, leading to actionable threat intelligence for the victims.

Meshal Binmitaab

Marc Dacier

Professor, Computer Science
Leveraging 20+ years of international experience, Professor Dacier leads the charge in uncovering internet vulnerabilities and developing robust defenses, building a more secure digital future for all.

Mahmoud Attia

M.S. Student, Computer Science
Mahmoud Attia is currently an MS/PHD student working with the SeRBER research group led by Prof. Marc Dacier. His research interests are in network security, within the areas of IT and OT security. He previously joined KAUST as a visiting student in the summer of 2023.

Khalid A. Hakami

Khalid Hakami is a Masters student in Computer Science (CS) and a member of the Resilience Computing and Cybersecurity research Center (RC3) at King Abdullah University of Sciences and Technology. He works in network security under the supervision of Professor Marc Dacier to develop a framework that enables researchers to automate testing and fingerprinting clients based on their behavior when the server acts unexpectedly. Education and Early Career Hakami received his bachelor’s degree in Software Engineering from King Fahd University of Petroleum and Minerals (KFUPM) in 2016. In the same

Hassan A. Almohammedsaleh

Hassan has finished his undergraduate studies at Iowa State University in the United States majoring in Electrical Engineering with a focus on Communication Systems. Now, Hassan is a MS/PhD student at KAUST working under the supervision of Dr. Basem Shihada in the Networking Research Lab. Education Profile B.Sc., Electrical and Computer Engineering, Iowa State University, United States, 2020.
<> neuromorphic computing (8)

Energy-Efficient Neuromorphic Computing Systems

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B4 L5 R5209

Neuromorphic computing has emerged as a new and promising computing principle that emulates how human brains process information. The underlying spiking neural networks (SNNs) are well-known for having higher energy efficiency than artificial neural networks (ANNs). Neuromorphic systems enable highly parallel computation and reduce memory bandwidth limitations, making hardware performance scalable and sustainable given the ever-increasing complexities of artificial intelligence (AI). Inefficiency in the design of a neuromorphic system generally originates from redundant parameters, nonoptimized models, a lack of computing parallelism, and inefficient training algorithms. This dissertation aims to address these problems and propose effective solutions.

Multifunctional memory devices and their applications in neuromorphic computing

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B9 L2 H2

The traditional trajectory of electronic device scaling, guided by Moore's law, is currently encountering physical limitations. To address this, the "More-than-Moore" (MtM) trend has emerged, emphasizing the diversification of device functionalities to include sensing, storing, and processing data.

Unsupervised adaptive weight pruning for energy-efficient neuromorphic systems Frontiers in Neuroscience, section Neuromorphic Engineering.

1 min read ·
Wenzhe Guo, et al., "Unsupervised Adaptive Weight Pruning for Energy-Efficient Neuromorphic Systems." Frontiers in Neuroscience 14, 2020, 1189. To tackle real-world challenges, deep and complex neural networks are generally used with a massive number of parameters, which require large memory size, extensive computational operations, and high energy consumption in neuromorphic hardware systems. In this work, we propose an unsupervised online adaptive weight pruning method that dynamically removes non-critical weights from a spiking neural network (SNN) to reduce network complexity and improve

Mohammed Affan Zidan

Mohammed Affan Zidan obtained his Ph.D. Degree in the Electrical Engineering (EE) Program from King Abdullah University of Science and Technology, under the supervision of Prof. Khaled Nabil Salama. Mohammed Zidan earned his M.Sc. in Electronics and Communications Engineering from Faculty of Engineering, Cairo University, Egypt in 2010, where he was ranked first. In 2006, he received his B.Sc. in Electronics and Communications Engineering, Institute of Aviation Engineering and Technology (IAET), Egypt, also ranking first. Before joining KAUST, he worked as a teaching assistant at the German

Kuilian Yang

Hasan Erdem Yantir

Chief Researcher, TÜBİTAK BİLGEM
Education and early career Hasan Erdem Yantır received the Ph.D. degree in Computer Engineering from the University of California, Irvine, the US and the M.Sc. degree in Computer Engineering from Bogazici University, Istanbul, Turkey. He was an engineer at Ericsson from 2011 to 2012 and at Ford Motor Company from 2012 to 2013. He is currently a postdoctoral research fellow at King Abdullah University of Science and Technology, Thuwal, Saudi Arabia. Research Interests Hasan’s research interests include artificial intelligence, digital IC design, in-memory computing, computer architectures, and

Diego Augusto Silva

Dayanand Kumar

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dayanand Kumar is a Postdoctoral Research Fellow focusing his research on smart multifunctional optoelectronic synaptic devices.
<> neuroscience (8)

Simulation of Neuronal Signal Processing - 2020-03-05

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B9 L2 R2322

In the lecture we present a three dimensional mdoel for the simulation of signal processing in neurons. To handle problems of this complexity, new mathematical methods and software tools are required. In recent years, new approaches such as parallel adaptive multigrid methods and corresponding software tools have been developed allowing to treat problems of huge complexity. Part of this approach is a method to reconstruct the geometric structure of neurons from data measured by 2-photon microscopy. Being able to reconstruct neural geometries and network connectivities from measured data is the basis of understanding coding of motoric perceptions and long term plasticity which is one of the main topics of neuroscience. Other issues are compartment models and upscaling.

Connecting the dots to unlock brain structure

1 min read ·
Mapping genetic influences on connections between neural networks could lead to a better understanding of brain organization and behavior.

Stimulating deeper insights into brain function

1 min read ·
Modeling changes in brain activity over time provides deeper insights into learning and behavioral responses.

Making collective sense of brainwaves

1 min read ·
A new statistical tool for collectively analyzing large sets of brainwaves promises to accelerate neurofunctional research.

A brainwave from social networks

1 min read ·
The statistics used to understand social networks reveal the diversity of functional connections in the brain.

Extreme analysis of seizures

1 min read ·
CEMSE researchers Matheus Guerrero, Raphaël Huser and Hernando Ombao developed a new approach for analyzing seizures in epilepsy patients by applying extreme value theory to real EEG seizure data.

Gabriel Wittum

Dr. Gabriel Wittum, professor of applied mathematics and computational science at KAUST, is an expert in modelling and simulating problems in empirical science.

Anass ElYaagoubi

Postdoctoral Research Fellow, Statistics
I am a statistician, data scientist, and AI researcher working at the intersection of machine learning, topological data analysis, and complex scientific systems. At King Abdullah University of Science and Technology, I develop new statistical frameworks to uncover hidden structures in brain signals, networks, and high-dimensional biomedical data, while also building AI-powered education technology to make advanced learning more accessible at scale. My work combines mathematics, engineering, and scientific curiosity with a strong focus on real-world impact, from neuroscience research to the future of intelligent education.
<> Nonlinear Optics (8)
KAUST-CEMSE-ECE-IPL-Nikita-Kondratyev

Nikita Kondratyev

Mikhail Mishevskii

Mikhail received the B.S. degree in applied mathematics and physics from Novosibirsk State, Novosibirsk, Russia and received a master's degree with honors from the Skolkovo Institute of Science and Technology (Skoltech). His research interests include: nonlinear optics, integrated photonics, ultrafast lasers, frequency comb generation. During his time at Skoltech participated in the Skoltech Translational Research and Innovation Program industrial project to create a pulsed submicron laser for pumping a single-photon quantum light source. Mikhail awarded with Scholarship of the President of

Aram Mkrtchyan

Postdoctoral Research Fellow, Electrical and Computer Engineering

Waqas Waseem Ahmed

Postdoctoral Research Fellow, Applied Mathematics and Computational Science
Erasmus Mundus Joint Doctorate in Photonics Engineering, Universitat Politècnica de Catalunya (Spain), Universita degli Studi di Firenze (Italy), Karlsruhe Institute of Technology (Germany), Université Paul Cèzanne Aix Marseille III (France).(2018) MS in Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. (2014) BS in Electronic Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), Pakistan. (2009) Research Interests Non-Hermitian Photonics, Nonlinear Optics, Machine Learning, Laser Physics.

Partha Mondal

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education Ph.D. in nonlinear optics , Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India, 2019 M.S., Physics, Vidyasagar University, Medinipur, West Bengal, India, 2012 B.S., Physics, The University of Burdwan, Burdwan, West Bengal, India, 2010 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2022-present Postdoc Researcher, Integrated Nonlinear Photonics, Centre

Kaikun Niu

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education Ph.D., Electromagnetic field and microwave technology, School of electronics and information engineering, Anhui University, Hefei, China, 2019 B.S., Engineering in electronics and information engineering, School of electronics and Information engineering, Anhui University, Hefei, China, 2014 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2019-2020 Visiting Student in

Gregor Sauer

Visiting Student, Photonics Laboratory
Gregor Sauer was a Visiting student from Friedrich Schiller University, Jena, Germany at Professor Boon Ooi's Photonics Laboratory at King Abdullah University of Science and Technology (KAUST). Research Interests Gregor's research interests included nonlinear, liquid core and photonic crystal fiber optics applications. Selected Publications Bachelor Thesis: Characterization of linear and nonlinear optical properties of an anti-resonant hollow-core fiber (2015). Resonance-enhanced multi-octave supercontinuum generation in antiresonant hollow-core fibers (LSA 2017). Professional Memberships

Abderrahmen Trichili

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education and Early Career Abderrahmen Trichili received his diplôme National d'Ingénieur in wireless networks and communications, and PhD degree in Information and Communication Technology from the Engineering School of Communication of Tunis (Tunisia) in 2013 and 2017, respectively. During his doctoral study, he received a mobility fellowship from the University of Padova (Italy), where he spent one year at the Information Engineering Department (DEI). In February 2018, he joined KAUST University as a Postdoctoral Fellow at CEMSE. Research Interest Trichili's current areas of interest
<> Parallel and Distributed Computing (8)

ISC21 Workshop: Numerical Algorithms and Libraries for Exascale (NAL-X)

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ISC21 KAUST Frankfurt Germany Time CET

Abstract With the hardware technology scaling and the trend on heterogeneous chip design, the existing numerical algorithms and software framework may break down due to load imbalance. There is currently a fundamental mismatch between the underlying hardware architecture with high thread concurrency and the software deployment of numerical libraries, which relies on the traditional bulk synchronous programming model. Numerical software should first squeeze performance out of single node by efficiently running on manycore architectures with processor counts sharing a common memory in the

Heterogeneity in Hardware: Opportunities and Challenges for Software and Applications (SC21 Panel)

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SC21 Saint Louis MO USA

Heterogeneity in Hardware: Opportunities and Challenges for Software and Applications SC21 Panel Time: Tuesday, 16 November 2021, 10:30am - 12pm CST Location: 225-226 (America's Center, St. Louis, MO USA) Abstract With the end of Moore’s Law, the community has witnessed new hardware trends to increase performance. Today, it is not only the traditional x86 and accelerators that are part of computing systems, but also ARM, FPGAs and dedicated processors for DL workloads that equip now pioneering HPC systems. By the end of this decade, we are moving towards an era of extreme scale with “extreme

PhD Defense of Tariq AlTurkestani

1 min read ·
Maximizing I/O Bandwidth for Out-of-Core HPC Applications on Heterogeneous Large-Scale Systems PhD Dissertation Defense by Tariq Alturkestani PhD Student, Computer Science Thursday, July 9, 16:00 - 17:00, https://kaust.zoom.us/j/94054511362 Contact Person: Tariq Alturkestani The execution rate of floating-point operations has typically increased by an order of magnitude every four years during the last 30 years of modern comput ing. This exponential growth in terms of computational power has benefited from the hardware technology scaling. However, memory and storage systems have not maintained

Tariq receives his best paper award at EuroPar'2020

1 min read ·
Maximizing I/O Bandwidth for Out-of-Core HPC Applications on Heterogeneous Large-Scale Systems Best Paper Presentation by Tariq Alturkestani PhD Student, Computer Science, KAUST Thursday, Aug 27, 3:30pm - 4:00pm (AST) https://zoom.us/j/99947879910 Tariq will present his best paper at EuroPar'2020 at the virtual EuroPar'2020 conference in Warsaw, Poland. The reverse time migration (RTM) method is critical in seismic imaging for oil and gas industries. He demonstrates the effectiveness of his Multilayer Buffer System (MLBS) framework on Shaheen-2 (using 2048 compute nodes) and Summit

Stefano Zampini

As a computational mathematician and software engineer, Stefano Zampini's work lies at the intersection of numerical analysis, predictive simulations, and high-performance computing, with recent forays into machine learning.

Malek Smaoui

Instructional Associate Professor, Computer Science
Malek Smaoui is dedicated to making learning computing accessible to students from all backgrounds, by enhancing their computing learning experiences, via modern teaching approaches and technologies.

Majed Sahli

Majed Sahli obtained his Ph.D. degree in Computer Science under the supervision of Professor Panagiotis Kalnis from King Abdullah University of Science and Technology (KAUST). Research Interest Majed's Research interests included Parallel and distributed computing, large data management, string processing, and graph theory. Education Profile Ph.D. in Computer Science at King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. (2010-2015) Masters Degree in Computer Science with Distinction from NU, San Diego, CA, USA. (2008-2010) Bachelor's Degree in Computer Science

Adel Dabah

Adel Dabah is a Postdoctoral Fellow in the Communication Theory Lab (CTL) and Extreme Computing Research Center (ECRC) at King Abdullah University of Science and Technology (KAUST), working with Professor Slim Alouini (CTL) and Professor David Keyes (ECC). Education and Early Career Adel Dabah studied Computer Science and got his Engineering and Master degrees from the University of Science and Technology Houari Boumediene (USTHB) in Algeria in 2010 and 2013 respectively. In 2018, he received his Doctoral Degree from USTHB University in Artificial Intelligence and Computer Science field
<> parallel computing (8)

Extreme Computing Universals

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B9 L2 R2325

This talk redefines "extreme" computing as operating under severe resource constraints rather than just massive scale, outlining universal algorithmic, hardware, and system-level strategies to overcome these challenges, illustrated by KAUST success stories.

Accelerating Branch-and-Bound Graph Algorithms with GPUs

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B9 L2 R2325

This talk presents multiple techniques that we have developed to load balance the search tree traversal on GPUs and mitigate the strain on memory capacity and bandwidth.

Recent advances in mixed finite element approximation for poroelasticity

Arbaz Khan, Assistant Professor, Department of Mathematics, Indian Institute of Technology (IIT)

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B1 L3 R3119

This talk discusses the non-conforming approximation of Biot's consolidation model. In the first part of the talk, we discuss posteriori error estimators for locking-free mixed finite element approximation of Biot’s consolidation model. In the second part of the talk, we discuss a novel locking-free stochastic Galerkin mixed finite element method for the Biot consolidation model with uncertain Young’s modulus and hydraulic conductivity field.

New cost-effective GPUs solver redesigns the computational game

2 min read ·
Prof. David Keyes and his team proposed a GPUs light architecture to solve systems of multiple equations involving a large amount of data. Broadly used in computer gaming, mobile, and PC graphics - GPUs allow customizing an effective result-driven support to create a computational framework for increasing the number of processors while reducing the memory required to temporarily store the data.

KAUST scientists win prestigious Gauss Award for supercomputing excellence

2 min read ·
KAUST Ph.D. graduate Dr. Noha Al-Harthi and doctoral student Rabab Alomairy, have won the German Gauss Center for Supercomputing (GCS) Award for original research that best advances high-performance computing. This makes KAUST the first Middle Eastern institution to receive this prestigious award.

KAUST prospective student: Xingdi Zhang

1 min read ·
Xingdi Zhang is a computer science graduate from the University of Electronic Science and Technology of China (UESTC), China. Xingdi will join KAUST in the fall of 2020 as a M.S./Ph.D. candidate and member of the KAUST High-Performance Visualization Group under the supervision of Professor Markus Hadwiger.

Dmitry Logashenko

Research Scientist, Modelling and Simulation
Research Interests Dr. Logashenko is working in the field of the numerical simulation of physical processes. His interests concern development, analysis and implementation of efficient methods for treating the (integro-) partial differential equations on parallel architectures. Main fields of the applications are groundwater flows in fractured porous media and CFD. He also collaborates in the ug4 toolbox project as a developer. Professional Memberships Research scientist at the Computer, Electrical and Mathematical Sciences and Engineering Division of the King Abdullah University of Science

Ali Charara

Ali Charara obtained both, his MS Degree and PhD Degree from Computer Science at KAUST in 2011 and 2018 respectively. His master thesis supervisor was Alyn Rockwood and his PhD thesis supervisor was David Keyes. Ali's research interests were in High Performance Computing with a focus on parallel computing and algorithms using multicore and manycore Computer Graphics Units. Education Profile MS Degree, Computer Science, KAUST (2011) PhD Degree, Computer Science, KAUST (2018)
<> photovoltaics (8)

High Efficiency Photovoltaic Cells and their Applications to Green Hydrogen Production

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B4 L5 R5209

This lecture will review research trends of III-V compound semiconductor ultra-high efficiency photovoltaic (PV) cells based on multiple junctions and quantum well/dot approaches. It will also introduce field trials of highly efficient green hydrogen production through the direct connection of electrolyzers and concentrator PV modules with the above-mentioned compound semiconductor solar cells built-in.

Amal Al-Amri wins Silver Medal at Ibtikar Exibition 2013

1 min read ·
Amal Al-Amri, a Saudi female PhD student of Electrical Engineering Program in the Integrated Nanotechnology Lab led by Prof. Muhammad Mustafa Hussain has received the Silver Medal in Ibtikar Exhibition 2013.

Meet KAUST new student: Jin Yu

2 min read ·
Jin Yu is a physics graduate who joined KAUST in July 2021 from Nankai University (NKU), China. Before joining KAUST, Jin worked as an intern at Wake Forest University (WFU), North Carolina, U.S. After completing his studies at WFU, Jin served as a volunteer high school teacher at China Volunteer Association for almost a year.

Fault Identification of Photovoltaic Array Based on Machine Learning Classifiers

1 min read ·
The Solar Photovoltaic (PV) industry has experienced significant growth over the past years due to the technology’s clear economic and environmental benefits. The world’s net electricity generation from grid-connected PV systems is expected to rise. Although PV systems don’t incorporate moving parts and usually require low maintenance, they are still subjected to diverse faults across the various system components. Proper fault detection and/or identification is thus necessary to avoid significant energy generation loss and large capital expenditures. Fault identification in Photovoltaic array

Stefaan De Wolf

Stefaan De Wolf is a Professor of​ Material Science and Engineering, and the Interim Associate Director for the KAUST Solar Center. ​Stefaan De Wolf's expertise lies in the science and technology of photovoltaics for terrestrial applications. His research focuses on the fabrication of high-efficiency silicon-and perovskite based solar cells, with specific attention to the fundamental understanding of interface structures and electrical contact formation, relevant to solar cells and electronic devices in general. He is also interested in new device architectures and applications, such as multi-junction solar cells, aimed at the improved utilization of the full solar spectrum for electricity generation, and the development of photovoltaic solutions for hot and sunny climates. He is also interested in new device architectures and applications, such as multi-junction solar cells, aimed at the improved utilization of the full solar spectrum for electricity generation, the development of photovoltaic solutions for hot and sunny climates, as well as exploring machine-learning methods to accelerate photovoltaic research.

Jin Yu

Jin Yu is a M.S./Ph.D. student in the electrical and computer engineering program and member of the Energy Conversion Devices and Materials (ECO Devices) Laboratory under the supervision of Professor Kazuhiro Ohkawa. Research Interests Jin Yu's research interests include photovoltaic and thermoelectric appliances.

Amal M. AlAmri

Amal Al-Amri is a Ph.D. candidate in Electrical Engineering at the King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Jr-Hau-He. Amal received her B.Sc. in Physics from King Abdulaziz University in Saudi Arabia and proceeded to obtain her M.Sc. with a concentration in Nanomaterial's Science in Physics from King Abdulaziz University. As an active member of the Saudi Association for Physical Sciences and a member of the Talented Center King Abdulaziz University, she was able to win the Innovative Award at King Abdulaziz University in 2008 and got the second

Ali Alhejab

Research Interests My research interest is to investigate and develop advanced fault detection and diagnosis techniques for photovoltaic (PV) systems. The performance of PV systems is highly dependent on the reliable and continuous operation of their components. Thus, identifying, and rectifying faults in PV systems is crucial to ensure their efficient and sustainable operation. Professional Profile 2023 - Present, Directed Research Student, KAUST, Thuwal, Saudi Arabia Education Profile Bachelor of Science in Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM)
<> probability theory (8)

David De Jesus

Postdoctoral Research Fellow, Applied Mathematics and Computational Science
David's research focuses on the regularity of solutions to degenerate elliptic and parabolic partial differential equations as well as free boundary problems.

Is probability theory the only viable solution to modelling statistical information?

Prof. Jeremie Houssineau, Department of Statistics, University of Warwick.

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KAUST

Many alternatives to the probabilistic modelling of information have been proposed since the birth of modern Statistics; yet, few have been successfully applied to the complex inference problems that modern Statisticians are faced with.

Kody J. H. Law

Senior Research Scientist, Stochastic Numerics Research Group
Kody J. H. Law worked as a Senior Research Scientist at Professor Raul F. Tempone's Stochastic Numerics Research Group (STOCHNUM) at King Abdullah University of Science and Technology (KAUST). Research Interests Kody specializes in computational approaches to inverse problems, uncertainty quantification, and sequential data assimilation. His interest spans methodology, such as function-space sampling and filtering algorithms, and also applications, such as numerical weather prediction, ocean prediction, climate prediction, and subsurface reconstruction. His interest in data assimilation

Kelvin J. R. Almeida-Sousa

Postdoctoral Research Fellow, Statistics
Kelvin J. R. Almeida-Sousa is a Brazilian mathematician with contributions to deterministic and stochastic partial differential equations, numerical analysis, mathematical statistics, and spectral theory.

Fabián Crocce

Postdoctoral Research Fellow, Stochastic Numerics Research Group
Fabián Crocce worked as a Postdoctoral Fellow​​ at Professor Raul F. Tempone's Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Research Interests Partial Differential Equations, Probability Theory, and Stochastic Processes Distributed Strategic Learning, Stochastic Modeling. Optimal stopping for diffusions, both one-dimensional and multi-dimensional. Representation of the solution by the Green kernel of the process. His research interests also included optimal stopping problems for jump-processes and infinite-horizon problems. Fourier methods

Avetik Karagulyan

Postdoctoral Research Fellow, Optimization and Machine Learning
Avetik Karagulyan have joined the team of Peter Richtarik at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST) as a Postdoctoral fellow in November 2021. Education and Early Career Avetik Karagulyan has defended his thesis at Center of Research in Economics and Statistics (CREST), Paris in June 2021 entitled as "Sampling with the Langevin Monte-Carlo" under the supervision of professor Arnak Dalalyan. In 2018, he received MSc Mathematics, Vision, Learning (MVA) diploma at ENS Paris-Saclay with highest honors. Avetik Karagulyan graduated from

Alexandre de Bustamante Simas

Senior Research Scientist, Statistics
Alexandre Simas is an expert on stochastic processes and spatial statistics, with a focus on stochastic partial differential equations and random fields on metric graphs.

Adil Salim

Postdoctoral Research Fellow, Computer Science
Adil Salim is a Postdoctoral Research Fellow working with Professor Peter Richtarik at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Dr. Salim earned his Master degrees in Data Science and Statistical Engineering from ENSAE ParisTech and in Probability Theory and Stochastic Modeling from Paris XI University in France in 2015. He received his Ph.D. in Machine Learning from Télécom ParisTech in France in 2018. Before joining KAUST, Adil worked in many positions starting from an Auditor for banks and insurance companies
<> Public Health (8)

Disease Nowcasting Using Integrated and Adaptive Statistical Models

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This thesis provides a comprehensive Bayesian nowcasting framework that addresses reporting delays, integrates complementary data sources, and improves real-time estimation of disease activity.

Yang Xiao

Ph.D. Student, Statistics
Yang Xaio research specializes in the development of advanced spatio-temporal models and Bayesian frameworks.

Towards an Early Warning System for Climate-Sensitive Infectious Diseases: Spatio-Temporal Modeling and Deep Learning for Dengue Forecasting in Brazil

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B5 R5209

This dissertation develops integrated spatio-temporal forecasting approaches that combine deep learning, climate data, spatial dependencies, and human mobility to improve dengue prediction and support early-warning systems in Brazil.

Geospatial Data Science for Public Health Surveillance

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B4/5 L0 A0215; Zoom Meeting 94713495879

This talk presents an overview of our research on innovative statistical methods and computational tools for geospatial data analysis and health surveillance, and how this work has directly informed strategic policy to reduce disease burden.

Geospatial Data Science for Public Health Surveillance

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B9 L2 R2325

This talk will give an overview of statistical methods and computational tools for geospatial data analysis and health surveillance, highlighting challenges related to data biases and availability.

Geospatial Data Science for Public Health Surveillance - Seminar

Paula Moraga, Lecturer, Department of Mathematical Sciences, University of Bath, UK

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B9 L2 H2

In this talk, I will give an overview of my research which focuses on the development of innovative statistical methods and interactive visualization applications for geospatial data analysis and health surveillance. I will illustrate some of my projects in the following areas: 1. Development of new statistical methodology; 2. Development of open-source statistical software such as the R packages; 3. Health surveillance projects. Finally, I will describe my future research on innovation in data acquisition and visualization, precision disease mapping, and digital health surveillance, and how it can inform policymaking and improve population health globally.

Xiang Chen

Ph.D. Student, Statistics
Xiang Chen's research focuses on spatio-temporal modeling of climate-sensitive infectious diseases, integrating large-scale health, climate, and human mobility data to improve epidemiological forecasting and support public health decision-making.

Paolo Victor Redondo

Ph.D. Student, Statistics
Ph.D. Student in Statistics at the King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Raphaël Huser and Prof. Hernando Ombao.
<> remote sensing (8)

Event Status: Cancelled | Remote Sensing and Agroinformatics Insights in Saudi Arabia Using Machine Learning

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B9 L2 R2325

This talk explores how machine learning and high-resolution satellite remote sensing are being used to transform vast amounts of raw data into actionable agroinformatics at a national scale, providing the precision needed to manage these vital resources sustainably.

Ting Li

Postdoctoral Research Fellow, Environmental Science and Engineering
Ting Li is a Postdoctoral Research Fellow focusing her research on bridging the gap between complex data and real-world agricultural impact.

Artificial intelligence takes to the skies to protect a Saudi tradition

1 min read ·
KAUST scientists develop an affordable and simple AI system for local camel herders

Gleb Ludnikov

To strive and explore, to uncover and never give in.

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Bang Huang works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Bang Huang received the M.S. degree (with honors) in electrical engineering and Ph.D degree in information and communication engineering from the School of Information and Communication Engineering (SICE), University of Electronic Science and Technology of China (UESTC), Chengdu, China, in

Photonics Design and Remote Sensing

Prof. Hugo Enrique Hernandez Figueroa

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B18 L4 Fellowship Hall

Abstract This tutorial series will include: Seminar 1 (Monday, 2PM) – Electromagnetic Numerical Modeling A general view of electromagnetic numerical modeling. Finite Element Method (FEM) vs Finite Difference Method. FEM formulations for solving Maxwell equations: time-domain and frequencydomain. Scattering, resonant structures and guiding modeling. Description of NEO-PZ: LEMAC’s electromagnetic simulator package. Challenging electromagnetic problems: very large electrical spatial domains demanding very high localized accuracy. Deterministic and heuristic optimization techniques and artificial

Xiang Li

Xiang Li is a Postdoc Researcher at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Mohamed Elhoseiny in the Vision-CAIR Group. Education and Work Experience Xiang Li joined KAUST as a Postdoc Researcher in Dec 2022. Before that, he was a Postdoc Researcher at the Multimedia and Visual Computing Lab (MMVC) at NYU Tandon and NYU Abu Dhabi from Oct 2019. He received a Bachelor's degree in Remote Sensing Science and Technology from Wuhan University in 2014 and a Ph.D. in Cartography and Geography Information System

Peter Wonka

Professor, Computer Science
Professor Peter Wonka is a computer scientist with a research focus in computer vision, computer graphics, remote sensing, and machine learning.
<> Robotics and Control (8)

Hassan Hizeh

Hassan is an MS/PhD electrical engineering student. He is currently based in the CEMSE division at KAUST, working under the supervision of Prof. Tareq Al-Naffouri.

Songqiying Yang

Nadia AlMutlak

Education 2021.08 - 2022.12 M.S. Student in Mechanical Engineering, KAUST, KSA 2017.08 - 2021.05 B.S. in Mechanical Engineering, Columbia University, USA Professional Profile 2021.04 - 2021.08 Innovation Management Consultant, Accenture, KSA 2020.05 - 2020.08 Research Intern, HARP labs at the Robotics Institute, Carnegie Mellon University, USA 2019.05 - 2019.08 Research Intern, HARP labs at the Robotics Institute, Carnegie Mellon University, USA Areas of Expertise and Research Interests Robotics and Control Human Robotic Interaction Robotic Design

Majed Alshamrani

Education 2021.08 - Present M.S. Student, King Abdullah University of Science and Technology, KSA 2017.08 - 2021.05 B.S., Texas A&M University, USA Professional Profile 2020.06 - 2020.08 Research intern, VIRTUAL, Communication Lab, KAUST 2018.06 - 2018.08 Research intern, Semiconductor Power Electronics Center, University of Texas, Austin, USA Honors and Awards ​2020.05 Third place in the best Senior Projects competition among engineering departments. Areas of Expertise and Research Interests ​Robotics and Control Robotics Communication Underwater Communication

Lucas Câmara Dantas Bezerra

PhD candidate working on cooperation in multi-agent systems through Multi-Agent Reinforcement Learning (MARL). He is affiliated with the Distributed Systems and Autonomy (DSA) group, under supervision of Professor Shinkyu Park.

Karnika Biswas

Education 2021.09 - 2021.12 Visiting Intern (Research), KAUST, RISC,KSA 2013.1 - 2021.11 Ph.D. in Robotics and Control (EEE), IIT Guwahati, India 2010.06 - 2012.06 M.Tech in Mechatronics, IIEST, Shibpur (BESUS), India 2003.08 - 2007.08 B.Tech. In Electronics and Communication Engineering, MAKAUT (WBUT), India Professional Profile 2018.05 - 2018.08 Research Scientist, WHODAT, India 2014.01 - 2018.01 Teaching Assistant, EEE, IIT GUWAHATI, India 2008.01 - 2009.12 Lecturer, ECE, Institute of Engineering and Management, India Areas of Expertise and Research Interests Robotics and Control Navigation

Bilal Maassarani

Mechatronic systems and control enthusiast currently working on a novel scalable hybrid-flight mode aerial system at the RISC lab with Professor Eric Feron.

Abdulrahman Alshammari

Education Profile 2021.08 - Present M.S. Student in Mechanical Engineering, King Abdullah University of Science and Technology, KSA 2013.08 - 2018.05 B.S. in Mechanical Engineering, Alfaisal University, KSA Areas of Expertise and Research Interests ​Robotics and Control Multi-robot Systems Drones Autopilot
<> satellite communication (8)

Challenges and opportunities for Satellite Spectrum/Orbit Access (ITU and the International Regulatory Environment)

Prof. Yvon Henri, International Telecom Union, Geneva, Switzerland

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KAUST

Noting that the trend of development and utilization of small satellite technologies is a global phenomenon, and it is expected to bring benefits to the entire world, including both developed and developing economies, this talk goes over different spectrum & orbit access issues related to the development and deployment of these small satellite networks.

Performance Analysis and Throughput Maximization of Satellite Communication Systems with Randomly Located Users

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B1 L3 R3119

Satellite communication (SatCom) is an essential component of next-generation wireless communications. The existing terrestrial network will be overwhelmed due to the rapid growth of demand for data and serving remote areas by using only terrestrial networks is demanding. In addition, terrestrial communications are susceptible to natural disasters such as earthquakes and floods. In order to overcome these disadvantages of the terrestrial communication systems, SatCom systems are being deployed and covering remote or sparsely populated areas. However, research on SatCom is still not enough and it has not been studied as much as on terrestrial communication.

Research explores enhancing reliability in hybrid satellite-terrestrial networks

1 min read ·
A team of researchers from the Communication Theory Lab (CTL) at KAUST, including Ruibo Wang, Mustafa A. Kishk, and Mohamed-Slim Alouini, has achieved a significant advancement in the field of communication networks. Their research article, titled "Reliability Analysis of Multi-hop Routing in Multi-tier LEO Satellite Networks," led by KAUST Professor Mohamed-Slim Alouini, addresses the critical issue of network reliability within complex multi-tier hybrid satellite-terrestrial relay networks (HSTRN). Reliable communication networks are fundamental for global connectivity in today's

Combating angle of arrival fluctuations, turbulence, and pointing error in an Earth-to-HAP FSO system through spatial diversity

1 min read ·
Recently, optical satellite communication (OSC) has emerged as one of the most promising technology for the future-proofing of wireless communication (WC) with the capability to provide global coverage. In the latest edition of IEEE Transaction on Aerospace and Electronic Systems, a team of researchers from CEMSE division of KAUST, including Richa Priyadarshani and Mohamed-Slim Alouini, study an Earth-to-HAP Free-Space Optical (FSO) communication system which can find applications in both terrestrial WC and OSC. Their paper titled "Earth-to-HAP FSO Communication With Spatial Diversity and

Sofiene Barhoumi

Sofiene Barhoumi is an MS/PhD student at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Mohamed-Slim Alouini. Education and Early Career In 2020 and after being ranked among the top 2% at the Tunisian National Exam for Entrance to Engineering Schools, Sofiene Barhoumi joined the most prestigious engineering school in Tunisia, "Ecole Polytechnique de Tunisie (EPT)" where he received multidisciplinary training. In his final year, he specialized in Signals and Systems and received his Engineering Diploma with first-class honors. Before joining

Khalil Allouch

Khalil Allouch is a MS/PhD student at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Mohamed-Slim Alouini. Education Khalil Allouch has studied mathematics and physics at the University of Tunis and has been among the top 1% in the Tunisian national contest of mathematics and physics in 2019. In 2022, he received his Engineering Diploma with first-class honors in multidisciplinary engineering from Ecole Polytechnique de Tunisie. Early Career Before joining the MS/Ph.D. program at KAUST, he had research experience with KAUST as a visiting

Heba Almorad

Visiting student in the Communication Theory Lab (CTL) and the Information System Lab (ISL), at King Abdullah University of Science and Technology,

Ahmed Elzanaty

Postdoctoral Research Fellow, Electrical and Computer Engineering
Ahmed Elzanaty has joined Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division of KAUST as a post-doctoral fellow at communication theory lab in March 2019. Education and Early Career Ahmed Elzanaty received the B.Sc. (with honors) and M.Sc. degrees in Electronics and Communications Engineering from Port Said University, Egypt, in 2008 and 2013, respectively, and the Ph.D. degree (excellent cum laude) in Electronics, Telecommunications, and Information technology from the University of Bologna, Italy, in 2018. Before joining KAUST, he was a research fellow at the
<> smart health (8)

How data is transforming transplantation in Saudi Arabia

3 min read ·
Every organ transplant is a race against time. The outcome often hinges on finding a biologically compatible donor at the right time. Success depends on a complex combination of factors: organ quality, timing, patient readiness, logistics, clinical practices and long-term risks. Transplantation medicine relies on care coordination among multidisciplinary providers across institutions and on long-term patient monitoring. Improving data systems plays a crucial role in assessing key performance indicators, ensuring timely transplants and determining which patients benefit most from the organ

Data Analytics to Outcome Impact for Transplantation and Clinical Practice

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B3 R5209

Workshops
Leveraging national data analytics and computational tools to advance transplantation and clinical practice.

KAUST showcases its smart health technologies at global forum

1 min read ·
Through AI, smart sensors, and computational biology, KAUST is transforming healthcare with practical solutions that address critical health needs in Saudi Arabia and beyond.

AI-Driven Smart Wearables in Health and Sport Application

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B1 L3 R3119

This dissertation presents a systematic review of smart wearable applications in sports and health, analyzing sensors, communication, algorithms, and evaluation schemes.

AI speeds up human embryo model research

1 min read ·
Deep-learning tool outperforms human experts at classifying lab-grown embryo-like structures, enabling advances in developmental biology and drug discovery.

New genetic maps expected to improve personalized medicine for underrepresented populations

1 min read ·
New pangenome graphs made using exclusively Saudi and Japanese samples give new genetic insights on these two populations

Future of Semiconductors Forum 2025 | KAUST

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Building 20

Join global leaders at KAUST to shape the next era of semiconductor technologies.

Luyao Yang

<> stochastic algorithms (8)

A Unified and Computationally Efficient Non-Gaussian Statistical Modeling Framework

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B4 R5209

This thesis develops a linear latent non-Gaussian modeling framework that extends latent Gaussian models to accommodate skewness, heavy tails, and extremes while preserving computational tractability, along with its implementation in the R package ngme2.

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2026

1 min read ·
Join us at KAUST’s Stochastic Numerics and Statistical Learning Workshop 2026 for new research on stochastic algorithms, statistical learning, and optimization, with applications in climate modelling and computational finance!
Darcy flow in random porous medium

AMCS 301 Numerical methods for random partial differential equations: hierarchical approximation and machine learning approaches

A course on modern numerical methods for random partial differential equations
Species count mRNA, proteins, dimers - jump processes

AMCS 308 Stochastic Numerics with Application in Simulation and Data Science

Monte Carlo methods. Simulation, estimation, data assimilation, and optimal control for time-discrete and time-continuous Markov chains

Christian Bayer

Christian Bayer's research focuses on financial mathematics and stochastic numerics, including modelling stock indices and numerical approximation of stochastic optimal control problems.

Applied Mathematics School 2024

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The KAUST Applied Mathematics School is a 1-week visiting program aiming to introduce undergraduate and master's students to special research topics focusing on key areas in applied mathematics and computational science.

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2023

Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)

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B9

Dear Kaustians, We are excited to announce the upcoming Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2023, taking place at KAUST, Building 9, from May 21 to June 1, 2023. Following the highly successful 2022 edition, this year's workshop promises to be another engaging and insightful event for researchers, faculty members, and students interested in stochastic algorithms, statistical learning, optimization, and approximation. The 2023 workshop aims to build on the achievements of last year's event, which featured 28 talks, two mini-courses, and two poster sessions, attracting over 150 participants from various universities and research institutes. In 2022, attendees had the opportunity to learn from through insightful talks, interactive mini-courses, and vibrant poster sessions. This year, the workshop will once again showcase contributions that offer mathematical foundations for algorithmic analysis or highlight relevant applications. Confirmed speakers include renowned experts from institutions such as Ecole Polytechnique, EPFL, Université Pierre et Marie Curie - Paris VI, and Imperial College London, among others.

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024

Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)

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B2 B3 A0215

We are excited to announce the upcoming Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024, taking place at KAUST, Auditorium 0215 b/w B4&5, from May 19-30, 2024. Following the highly successful last two years edition, this year's workshop promises to be another engaging and insightful event for researchers, faculty members, and students interested in stochastic algorithms, statistical learning, optimization, and approximation. The 2024 workshop aims to build on the achievements of last year's event, which featured 30 talks, two mini-courses, and two poster sessions, attracting over 150 participants from various universities and research institutes. In 2022 and 2023, attendees had the opportunity to learn from through insightful talks, interactive mini-courses, and vibrant poster sessions. This year, the workshop will once again showcase contributions that offer mathematical foundations for algorithmic analysis or highlight relevant applications. Confirmed speakers include renowned experts from institutions such as Ecole Polytechnique, EPFL, Université Pierre et Marie Curie - Paris VI, CUHK Shenzhen, and Imperial College London, among others.
<> Stochastic Modeling (8)
Species count mRNA, proteins, dimers - jump processes

AMCS 308 Stochastic Numerics with Application in Simulation and Data Science

Monte Carlo methods. Simulation, estimation, data assimilation, and optimal control for time-discrete and time-continuous Markov chains

Bayesian experimental designs by Prof. Marco Scavino (visiting Faculty at KAUST)

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B9 R2322

In this talk, I will describe the main features that characterize a Bayesian framework for experimental design. A special emphasis will be devoted to the description of how to measure the information, conveyed by an experiment, about the unknown parameters of the statistical model used to describe the data uncertainty.

KAUST Ph.D. student wins Society for Industrial and Applied Mathematics award

2 min read ·
Chiheb Ben Hammouda, a KAUST Ph.D. student in the University's Stochastic Numerics Research Group, recently won the best poster award at the Society for Industrial and Applied Mathematics (SIAM) Conference on Financial Mathematics & Engineering (FM19) held at the University of Toronto from June 4 to 7. His winning poster, titled "Hierarchical adaptive sparse grids and quasi-Monte Carlo for option pricing under the rough Bergomi model," is one of several research projects carried out by Ben Hammouda under the supervision of KAUST Professor Raul Tempone.

Sana Mazahir

Education and Early Career Sana Mazahir received the B.E. and M.S. degrees in Electrical Engineering from the College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), in 2013 and 2015, respectively. She worked at the System Analysis and Verification (SAVe) laboratory at NUST between 2015 and 2019. Currently, she is pursuing the Ph.D. degree at King Abdullah University of Science and Technology, Saudi Arabia, under the supervision of Prof. Mohamed-Slim Alouini. Her research interests include signal processing for wireless communications. Research

Marco Scavino

Marco Scavino is a Former Visiting Associate Professor​​ from Universidad de la República, Uruguay, at Professor Raul F. Tempone's Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Research Interests Marco's research interests include Bayesian techniques for uncertainty quantification, statistical methods of experimental design, statistical procedures for model calibration, selection and validation, multivariate data analysis, statistical inference for stochastic processes, and stochastic modeling. Selected Publications A Laplace method for under

Marco Ballesio

Marco Ballesio is a Ph.D. candidate at Stochastic Numerics Research Group (STOCHNUM) under the supervision of Professor Raul F. Tempone at King Abdullah University of Science and Technology (KAUST). Research Interests Marco's research interests include Probability Theory and Stochastic Processes, Stochastic Modeling, Uncertainty Quantification. Education Profile Laurea Magistrale (Master’s Degree) in Mathematics for Engineering, Politecnico di Torino (Grade: 110/110 cum laude), (2013-3/2016). Allievi Honors Program, Allievo Senior, Collegio Carlo Alberto (2013-3/2016). Erasmus Student at Aalto

Fabián Crocce

Postdoctoral Research Fellow, Stochastic Numerics Research Group
Fabián Crocce worked as a Postdoctoral Fellow​​ at Professor Raul F. Tempone's Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Research Interests Partial Differential Equations, Probability Theory, and Stochastic Processes Distributed Strategic Learning, Stochastic Modeling. Optimal stopping for diffusions, both one-dimensional and multi-dimensional. Representation of the solution by the Green kernel of the process. His research interests also included optimal stopping problems for jump-processes and infinite-horizon problems. Fourier methods

Chiheb Ben Hammouda

Chiheb Ben Hammouda is a Ph.D. candidate at Stochastic Numerics Research Group (STOCHNUM) under the supervision of Professor Raul F. Tempone at King Abdullah University of Science and Technology (KAUST). Prior to joining Ph.D., Chiheb obtained a Master's degree in Applied Mathematics and Computational Sciences from KAUST, and a Bachelor's degree in multidisciplinary engineering from Ecole Polytechnique de Tunisie, Tunisia. Research Interests Chiheb's research interests include Stochastic modeling, Numerical simulation and analysis, Quantitative finance in particular option pricing, Stochastic
<> wireless powering (8)

EE students win top honors in DOW Sustainability Innovation Student Challenge Award

1 min read ·
EE students Salman Inayat (Prof. Muhammad Hussain's PhD student) and Mahmoud Ouda (Prof. Khaled Salama's PhD student) have won the first and second prizes, respectively, in DOW Sustainability Innovation Student Challenge Award.

Mahmoud Ouda Won The "Best Out Of The Box Solution" Prize At The 18th Microelectronics Olympiad Held In Armenia

1 min read ·
Doctoral student, Mahmoud Ouda, working under the supervision of Prof. Khaled Salama, won "Best out of the box solution" prize at the eighth microelectronics olympiad held October 15-19 in Yerevan, Armenia.

Ms Student wins the First Phase of the 10th Annual International Microelectronics Olympiad of Armenia

1 min read ·
Abdullah Almansouri, a MS student in the electro-physics track within the Electrical Engineering program, won the first phase of the 10th Annual International Microelectronics Olympiad of Armenia.

Self-Biased Differential Rectifier with Enhanced Dynamic Range for Wireless Powering

1 min read ·
Mahmoud H. Ouda, et al., "Self-biased differential rectifier with enhanced dynamic range for wireless powering." IEEE Transactions on Circuits and Systems II: Express Briefs 64, (5), 2017, 515. A self-biased cross-coupled differential rectifier is proposed with enhanced power-conversion efficiency (PCE) over an extended range of input power. A prototype is designed for ultrahigh-frequency (UHF) 433-MHz radio-frequency power-harvesting applications and is implemented using a 0.18-μm CMOS technology. The proposed rectifier architecture is compared with the conventional cross-coupled rectifier

A CMOS RF-to-DC Power Converter With 86% Efficiency and− 19.2-dBm Sensitivity

1 min read ·
Abdullah S. Almansouri, et al., "A CMOS RF-to-DC Power Converter With 86% Efficiency and− 19.2-dBm Sensitivity." IEEE Transactions on Microwave Theory and Techniques 66 (5), 2018, 2409. Abstract: This paper proposes an RF-to-dc power converter for ambient wireless powering that is efficient, highly sensitive, and less dependent on the load resistance with an extended dynamic range. The proposed rectifier utilizes a variable biasing technique to control the conduction of the rectifying transistors selectively, hence minimizing the leakage current; unlike the prior work that has a fixed feedback

A Dual-Mode Nested Rectifier for Ambient Wireless Powering in CMOS Technology

1 min read ·
Abdullah Almansouri, et al., "A Dual-Mode Nested Rectifier for Ambient Wireless Powering in CMOS Technology." IEEE Transactions on Microwave Theory and Techniques, 68 (5) , 2020, 1754. This article proposes (DM) nested radio frequency (RF) rectifier for ambient wireless powering. The proposed architecture utilizes a DM nested feedback circuit to enhance the conductivity of the rectifier at low power while reducing the reverse leakage current at high power by generating supply voltages at the gates of the pMOS rectifying transistors. The proposed rectifier is fabricated in a 65-nm CMOS

Mahmoud Ouda

Postdoctoral Research Fellow, Sensors
Mahmoud Ouda is currently a Postdoctoral Research Associate with the Communications and Signal Processing Group (CSP), Department of Electrical and Electronic Engineering at Imperial College London. He received his Ph.D. from King Abdullah University of Science & Technology (KAUST), Saudi Arabia in 2016, and his M.Sc. and B.Sc. (with honors) both in Electronics and Communications Engineering from Ain Shams University, Cairo, Egypt, in 2011 and 2006 respectively. He was a Graduate Research Assistant with the Sensors Lab. in King Abdullah University of Science & Technology (KAUST) from 2010 to

Abdullah Almansouri

Almansouri is a PhD student in the field of wireless powering and wireless sensing. Education and early career Almansouri received a B.Sc. degree (with honors) in Electronics and Communication Engineering from the Royal Melbourne Institute of Technology University (RMIT), Melbourne, VIC, Australia, in 2013, and the M.S. degree in Electrical Engineering from King Abdullah University of Science and Technology (KAUST), Saudi Arabia, in 2016. Almansouri completed his Ph.D. at KAUST successfully. Research Interests Almansouri’s research interests revolve around wireless sensors, including wireless
<> 6g wireless systems (7)

Enabling Seamless Connectivity via Virtualization Technologies in 6G Integrated Networks

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B1 R4214

This thesis investigates how integrated networks powered by such technologies can be designed and optimized to enable seamless connectivity.

KAUST's Asmaa Abdallah and Rawan Alghamdi included in the “100 Brilliant and Inspiring Women in 6G” List for 2026

4 min read ·
CEMSE researchers Dr. Asmaa Abdallah and Rawan Alghamdi recognized among exceptional women shaping the future of 6G communications.

Digital roads in the sky: Stratospheric communication networks would connect the unconnected

1 min read ·
Connectivity is a cornerstone of today’s world – but roughly one-third of the planet’s population isn’t linked up. Bridging that gap has proven challenging, because telecoms are hesitant to invest in the infrastructure to reach remote, sparsely populated areas. One solution is to lighten the load by moving communications infrastructure into the sky, where a network of flying platforms can link remote sites to satellites or terrestrial networks. But these high altitude platform stations (HAPS) technologies have applications and implications far beyond simply connecting rural communities. A HAPS

Efficient Antenna-on-Chip with Optimized Artificial Magnetic Conductor Performance for 6G mm-Wave Applications

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B3 L5 R5209

This dissertation introduces innovative Artificial Magnetic Conductor structures and a reconfigurable superstrate to overcome profile thickness, illumination efficiency, and radiation pattern limitations in CMOS-integrated Antennas-on-Chip, thereby enhancing their performance and versatility for future 6G wireless communication systems.
KAUST-CEMSE-ECE-Omar-Khalifa-Winner-Of-Non-Terrestrial-Networks-for-6G-(NTNYS'24

KAUST ECE students achieve high honors in Competition on Non-Terrestrial Networks for 6G (NTNYS'24)

4 min read ·
KAUST Ph.D. candidate Omar Khalifa earned an impressive second place in the global Competition on Non-Terrestrial Networks for 6G (NTNYS'24). The IEEE Future Networks Initiative organized the competition as part of the "Connecting the World from the Skies Global Forum," which took place last November in Riyadh. Second place, and a prize of $10,000, was awarded to Khalifa based on his work titled "Supplying Data for Digital Twins in Green Smart Cities: A Non-Invasive NTN-IoT Approach." The international forum, which focused on the theme “Shaping the Future of Converged Connectivity,” was hosted

Hayssam Dahrouj

Senior Research Scientist at KAUST (King Abdullah University of Science and Technology)

Sahar Ammar

Sahar Ammar’s research focuses on network slicing in integrated terrestrial and non-terrestrial networks.
<> additive manufacturing (7)

High Specificity Microwave Wearable Biosensors for Remote Health Monitoring

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B2/3 L0 R0215

This dissertation investigates an alternative route based on electromagnetic (EM) sensing to realize passive, label-free, and cost-effective wearable biosensors, addressing key limitations of existing technologies.

Flexible, Wearable, Disposable Wireless Communication and Sensing Systems Through Additive Manufacturing - 2019

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B9 L2 H1

With the advent of wearable sensors and internet of things (IoT), there is a new focus on electronics which can be bent so that they can be worn or mounted on non-planar objects. Due to large volume (billions of devices), there is a requirement that the cost is extremely low, to the extent that they become disposable. The flexible and low-cost aspects can be addressed through additive manufacturing technologies such as inkjet, screen and 3D printing. This talk introduces additive manufacturing as an emerging technique to realize low cost, flexible and wearable wireless communication and sensing systems.

Flexible, Wearable, Disposable Wireless Communication and Sensing Systems Through Additive Manufacturing - 2020

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KAUST

With the advent of wearable sensors and internet of things (IoT), there is a new focus on electronics which can be bent so that they can be worn or mounted on non-planar objects. Due to large volume (billions of devices), there is a requirement that the cost is extremely low, to the extent that they become disposable. The flexible and low-cost aspects can be addressed through additive manufacturing technologies such as inkjet, screen and 3D printing. This talk introduces additive manufacturing as an emerging technique to realize low cost, flexible and wearable wireless communication and sensing systems. The ability to print electronics on unconventional mediums such as plastics, papers, and textiles has opened up a plethora of new applications. In this talk, various innovative antenna and sensor designs will be shown which have been realized through additive manufacturing. A multilayer process will be presented where dielectrics are also printed in addition to the metallic parts, thus demonstrating fully printed components. Many new functional inks and their use in tunable and reconfigurable components will be shown. In the end, many system level examples of wireless sensing applications will be shown. The promising results of these designs indicate that the day when electronics can be printed like newspapers and magazines through roll-to-roll and reel-to-reel printing is not far away.

Yiming Yang

Yiming Yang is a Ph.D. candidate at the KAUST Integrated Microwaves Packaging Antennas and Circuits Technology Research Group under the supervision of Professor Atif Shamim. His research interests include frequency selective surfaces, reconfigurable intelligent surfaces, and meta-surfaces in combination with additive manufacturing, time modulation, and other fabrication and reconfiguration methods.
HeadShot-Firas

Firas Fatani

Firas Fatani is an electrical engineer and researcher specializing in wireless sensing technologies, flexible electronics, and intelligent systems. His work focuses on advancing the design and integration of low-cost, battery-free, and printed microwave devices for health, environmental, and industrial monitoring applications. He is particularly interested in bridging electromagnetic design, material science, and data intelligence to develop innovative sensing platforms that enable smarter and more connected systems.

Brian Parrott

Education 2021.08 - Present Ph.D. Student in Mechanical Engineering, King Abdullah University of Science and Technology, KSA 2017.06 - 2019.06 MBA, HKUST, Hong Kong-China ​2010.08 - 2011.12 MS in Chemical and Biological Engineering, KAUST, KSA 2006.09 - 2010.06 BS in Biology, University of Washington, USA Professional Profile 2012.05 - Present Research Scientist, Research and Development Center, Saudi Aramco, KSA Honors and Awards 2014.01 CEO Excellence Award 2013.01 International Glory Medal, International Federation of Inventors' Associations Selected Publications B. Parrott, P. Carrasco

Atif Shamim

Professor Shamim is an accomplished electrical engineer specializing in wireless communication and sensing components and systems. His work aims to improve the performance of wireless communication and sensing systems through low-cost additive manufacturing techniques.
<> AI for healthcare (7)

How data is transforming transplantation in Saudi Arabia

3 min read ·
Every organ transplant is a race against time. The outcome often hinges on finding a biologically compatible donor at the right time. Success depends on a complex combination of factors: organ quality, timing, patient readiness, logistics, clinical practices and long-term risks. Transplantation medicine relies on care coordination among multidisciplinary providers across institutions and on long-term patient monitoring. Improving data systems plays a crucial role in assessing key performance indicators, ensuring timely transplants and determining which patients benefit most from the organ

Causal Reasoning in Medical Digital Twins: Methods and Architectures

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B3 R5209

This dissertation develops a principled computational framework for causal reasoning in Medical digital twins (MDT) systems, moving beyond correlation-driven approaches toward explainable and biologically grounded decision support.

Data Analytics to Outcome Impact for Transplantation and Clinical Practice

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B3 R5209

Workshops
Leveraging national data analytics and computational tools to advance transplantation and clinical practice.

AI speeds up human embryo model research

1 min read ·
Deep-learning tool outperforms human experts at classifying lab-grown embryo-like structures, enabling advances in developmental biology and drug discovery.
AI tool maps hidden links between diseases

AI tool maps hidden links between diseases

1 min read ·
Understanding how diseases trigger one another could lead to better treatments, prevention strategies and improved genetic risk prediction.

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Muhammad Mahboob Ur Rahman

Research scientist with Information Science lab (ISL), Electrical engineering department, KAUST, KSA
<> antenna design (7)

Efficient Antenna-on-Chip with Optimized Artificial Magnetic Conductor Performance for 6G mm-Wave Applications

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B3 L5 R5209

This dissertation introduces innovative Artificial Magnetic Conductor structures and a reconfigurable superstrate to overcome profile thickness, illumination efficiency, and radiation pattern limitations in CMOS-integrated Antennas-on-Chip, thereby enhancing their performance and versatility for future 6G wireless communication systems.
IEEE Antennas and Propagation Society Distinguished Lecturer Workshop

IEEE Antennas and Propagation Society Distinguished Lecturer Workshop

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Auditorium between Buildings 2 and 3

Workshops
Global and regional experts and leaders gather at KAUST for the IEEE AP-S Distinguished Lecturer Workshop 2025 to share advancements in antennas and propagation research.

Zubair Akhter

Research Interests ​Antennas: Multiband, Ultra wide band, highly directive array Microwave Imaging: Detection of concealed objects for Homeland Security Microwave Sensing and Characterization: Wireless sensing for Biomedical and Oil and Gas Industry. Concurrent Multi-band RF Front-End Design Selected Publications Zubair Akhter, Abhishek Kr. Jha and M Jaleel Akhtar, "Generalized RF Time-Domain Imaging Technique for Moving Objects on Conveyor Belts in Real Time," in IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 7, pp. 2536-2546, July 2017. [ Link] Zubair Akhter and M. J

Yiyang Yu

Yanfen Zhai

Yanfen Zhai is a Postdoctoral Fellow working under the supervision of Professor Atif Shamim at Integrated Microwaves Packaging Antennas and Circuits Technology (IMPACT) Research Group in King Abdullah University of Science and Technology (KAUST). Research Interests Yanfen's research interests include Nano-Photonics and Nanotechnology, Antenna design, integration and miniaturization techniques, On-Chip Mid-Infrared Gas Sensor, On-Chip Ultra - Wideband Optical Switch Matrix (MEMS), and Quantum Single-Photon Source (Nonlinear optics). Patents: 1) Y. Zhai, W. Zhang, and Y. Huang, “A kind of

Srujana Kagita

Selected Publications ​S.Kagita,A.Basu,S.K.Koul , "Electrically Tunable Ferrite Bandpass Filter in X-Band With Wide Tunability," in IEEE Transactions Magnetics, vol. 55, no. 7, pp. 1-4, July 2019. S.Kagita,A.Basu,S.K.Koul," Characterization of LTCC based ferrite tape and its application to electrically tunable phase shifter and notch filter," IEEE.Transactions in Magnetics , vol.53 , issue 1, 2017. S.Kagita,A.Basu,S.K.Koul,"Modeling of LTCC-Ferrite Tunable Inductors and Development of an L -Band Phase Shifter," IEEE.Trans.Magn,vol.51, no.10, pp.1-9, Oct. 2015. Education Profile ​​PhD , Topic

Garret McKerricher

Garret McKerricher obtained his Ph.D. degree in Electrical Engineering under the supervision of Professor Atif Shamim at Integrated Microwaves Packaging Antennas & Circuit Technology (IMPACT) Research Group at King Abdullah University of Science and Technology (KAUST). Currently, Garret is working as a Scientist at Electroninks Incorporated in Austin, Texas. Research Interests Garret's research interests included ​Antenna design, Radio frequency and millimeter-wave Circuits, Printed electronics, RFID and sensor design, Wireless localization, navigation and communications techniques. Education
<> Applications (7)

Power Electronics Applications in Offshore Wind Farms

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KAUST

Advances in power electronics have enabled many renewable energy applications. Wind energy harnessing is very promising and offshore farm installations have grown considerably in the past years. In this seminar we will go through some of the fundamentals of these enabling technologies and their applications. We will also present a simple, reliable, efficient and cost-effective concept applied to parallel connection of offshore wind turbines.

MXenes for Electronic and Sensing Applications

Professor Husam Alshareef, Material Science and Engineering, KAUST

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KAUST

This talk will focus on the device applications of MXenes and MXene-derived functional materials. Our group has been developing device concepts that capitalize on the rich and promising properties of MXenes. For example, the excellent electrical conductivity of MXenes makes them good candidates as contact materials electronics (printed, wearable, and stretchable electronics) both as local and global contacts. We have demonstrated that MXenes can be used as electrical contacts in thin-film electronics, CMOS devices, quantum-dot transistors, LEDs, and solar cells.

Towards Robust and Accurate Navigation: Theory, Applications, and Future Directions

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KAUST

Navigation is an essential requirement for many applications (commercial, retail, military, scientific, ...etc) and in a variety of environments (in-doors, outdoors, space, underwater, and even underground). In this talk, I will overview some of my group's work in localization and navigation focusing on indoor and satellite positioning. The talk will demonstrate how the structure or constraints of the problem can help achieve very accurate localization (e.g. millimeter level indoors) that is robust to Doppler, multipath, and shadowing. The talk will also touch upon various related applications that the group is pursuing in smart health and smart cities. The talk will end with future directions for localization in extreme environments and in the TeraHertz spectrum where localization, environment sensing, and communication converge.

Waves Functional Materials: From theory to applications

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B9 L2 R2322

No abstract is available.

Mohanad Ahmed

Research Specialist, Information Science Lab
Research Specialist, Information Science Lab at King Abdullah University of Science and Technology (KAUST)

Mahmoud Hassan Ghazal

Mahmoud Hassan Ghazal research focuses on random matrix theory to study random projections, which can be used as a dimension reduction tool in linear regression models.

Hussain Ali

Research Engineer, Information Science Lab at King Abdullah University of Science and Technology (KAUST), Research Engineer at Dhahran Techno Valley, KFUPM, Dhahran, Saudi Arabia..
<> automation (7)

Xwing: the journey to deploying autonomous cargo aircraft

Maxime Gariel, Chief Technology Officer, Xwing

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KAUST

Featured Sessions
For more information please visit the website

Bridging the Gap between the Academia and Industry by Extending High-Quality Research to Practical Business Needs

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B9 L2 R2322 H1

This seminar focuses on providing the audience with the context and scope of our internship program. The program is for the young and talented graduate students with an active interest in solving real-world problems. Some of the projects that will be presented in the seminar are actively developed in Elm and include domains such as computer vision, robotics and automation, healthcare, IoT, video analytics, and NLP. The seminar will serve as a launch pad to allow students to discuss their future interests and aspirations with the speaker. It will also enable them to develop a better awareness of domains more relevant to their future research aspirations.

KAUST ECE alumnus wins Design Automation Conference Under-40 Innovators Award

2 min read ·
Former KAUST Sensors Lab researcher Hesham Omran (Ph.D. ’15) has been named as one of the four winners of the Design Automation Conference (DAC) 2022 Under-40 Innovators Award. The award recognizes the top young innovators who have made a significant impact in the field of design and automation of electronics.

Ryan Maxwell

Nawaf Alotaibi

Education 2020.08 - 2022.05 M.S. Student in Mechanical Engineering, KAUST, KSA 2016.08 - 2020.05 B.S. in Mechanical Engineering, Georgia Institute of Technology, USA Professional Profile 2019.06 - 2019.08 Research Intern, RISC Lab, KAUST, KSA Areas of Expertise and Research Interests ​Robotics Autonomous Vehicles Machine learning Vision

Mohammad Aljohany

Education 2021 - Present Ph.D. Student in Electrical and Computer Engineering, King Abdullah University of Science and Technology, KSA M.S. in Electrical and Computer Engineering , KAUST, KSA B.S. in Instrumentation and Control Engineering, Yanbu Industrial College, KSA Areas of Expertise and Research Interests Control Theory Intelligent Systems Automation Reinforcement Learning

Martins Bruvelis

Senior Information Technology Specialist, Computer, Electrical and Mathematical Sciences and Engineering
Martins is a Tier 3 IT Specialist with a background in quantum engineering and data science. He leverages analytical, multidisciplinary, and data-driven approaches to drive innovation and efficiency within the IT infrastructure. He excels at full-stack development, identifying complex problems' root causes and developing impactful long-term solutions within a broad area of competence.
<> climate change (7)
Spatial-latent effects capture residual geographical variation of coral bleaching in the Coral Triangle from 2002 to 2020

Equatorial Coral Reefs May Offer Natural Refuge During Marine Heatwaves

1 min read ·
A new study published in Global Change Biology reports that equatorial reefs in the Coral Triangle may act as rare natural refugia for corals during marine heatwaves.

KAUST climate research named finalist for ADIA Lab Climate Data Sciences Award

3 min read ·
KAUST team develops breakthrough method for wind data generation, earning finalist spot for ADIA Lab’s climate science award.

Visualizing a real change: CEMSE-held exhibition "State of Flux" opens new frontiers in information visualization for science

2 min read ·
Climate change is affecting the world drastically. Contrasting perceptions look at it as either a direct effect of human carelessness or a natural calamity. Whatever the case, prompting action for preventing or mitigating its effects lies on effective and easy-to-understand communication.

Pop stats for big geodata

1 min read ·
A universal high-performance computing interface allows popular statistical tools to run efficiently on large geospatial datasets.

Heatwave model shows it is hotter in more places, more often

1 min read ·
New modeling shows that heatwaves across Europe have increased in both frequency and spatial extent over the past century.

Getting to the bottom of deadly weather

1 min read ·
Cold still causes far more deaths than heat in India. A study of the correlation between temperature and mortality in the Indian city of Pune has found that cold, rather than heat, is by far the bigger killer.

A model for millions of locations

1 min read ·
CEMSE statisticians developed a framework which enables modeling of a range of meteorological and environmental datasets from up to 2 million locations globally.
<> Computational finance (7)

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2026

1 min read ·
Join us at KAUST’s Stochastic Numerics and Statistical Learning Workshop 2026 for new research on stochastic algorithms, statistical learning, and optimization, with applications in climate modelling and computational finance!

Abderrahmene Ben Romdhane

KAUST-CEMSE-The-International-Research-Conference-on-Multi-Grid-and-Multi-Scale-Methods-in-Computational-Science

KAUST International Research Conference on Multi-Grid and Multi-Scale Methods in Computational Science, IMG 2025

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Building 19 and 20

The International Conference on Multigrid and Multiscale Methods in Computational Science (IMG) offers a dynamic forum for researchers to share advances in multigrid, multilevel and multiscale computational techniques, as well as their applications across scientific domains.

Soumaya Elkantassi

Soumaya Elkantassi obtained a Master's degree in Applied mathematics and Computational Sciences under the supervision of Professor Raul F. Tempone's at Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Research Interests Soumaya's research interests included Statistics, Probability Theory and Stochastic Processes, and Computational Finance. Education Profile M.Sc. in Applied mathematics and Computational Sciences, Statistics and Data Analysis, King Abdullah University of Science and Technology (2015 - 2017). Engineering in Economics and

Raul Tempone

Professor Raul Tempone is a worldwide recognized researcher in numerical analysis and uncertainty quantification. Professor Raul Tempone at KAUST leads the stochastic numerics research group, significantly contributing to Saudi Arabia's Vision 2030 goals through advancements in computational science. His work in adaptive algorithms, Bayesian inverse problems, and scientific machine learning drives forward critical applications in technology and sustainability, embodying KAUST's commitment to global scientific leadership and economic diversification.

Gaukhar Shaimerdenova

Gaukhar Shaimerdenova is a consultant at the Stochastic Numerics Research Group (STOCHNUM) of Professor Raul F. Tempone at King Abdullah University of Science and Technology (KAUST). Research Interests Gaukhar's research interests include ​Stochastic Differential Equations, Numerical Analysis, Data Assimilation, Multilevel/Multi-index Monte Carlo methods, Ensemble Kalman Filtering and Computational Finance. Selected Publications Rached, N.B., Schwerin, E.V., Shaimerdenova, G. and Tempone, R., 2026. Importance sampling for rare event tracking within the ensemble Kalman filtering framework

Alessandro Iania

Alessandro Iania is a Former visiting student from Politecnico di Torino at Professor Raul F. Tempone's Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Research Interests Alessandro's research interests include ​Mathematical Modeling and Computational Finance. Selected Publications ​A. Iania, Basket option pricing for processes with jumps using sparse grids and Fourier transforms​, Master Thesis, Politecnico di Torino - KAUST, 2015. Education Profile ​Bachelor’s degree at Politecnico di Torino.
<> conference (7)

Prof Li presented an invited talk at the 8th International Conference of the African Materials Research Society

1 min read ·
Prof Li presented an invited talk at the 8th International Conference of the African Materials Research Society.

Prof Li presented an invited talk at the IWUMD conference in Beijing, China​

1 min read ·
Prof Li presented an invited talk at the IWUMD conference in Beijing, China​.

Kuang-Hui delivered two contributed talks on extremely high-temperature MOCVD reactors at OMVPE Conference in Santa Fe, USA!

1 min read ·
Kuang-Hui delivered two contributed talks on extremely high-temperature MOCVD reactors at OMVPE Conference in Santa Fe, USA!

Professor Li delivered an invited talk on deep UV lasers and BAlN at National Wide Bandgap Material Conference in Xining, China!

1 min read ·
Professor Li delivered an invited talk on deep UV lasers and BAlN at National Wide Bandgap Material Conference in Xining, China!

KAUST Professor David Keyes to chair International Supercomputing Conference 2020

1 min read ·
David Keyes, KAUST professor of applied mathematics and computational science; director of the University's Extreme Computing Research Center; and senior associate to the President of KAUST, will chair the International Supercomputing Conference (ISC) 2020. He will be the first program chair from a Middle Eastern institution, as announced by ISC 2020.

5th International Conference on Smart Energy Systems and Technologies

1 min read ·
Otavio Jose Dezem Bertozzi Junior had an honor to attend the 5th International Conference on Smart Energy Systems and Technologies (SEST Conference 2022), held on 5-7 of September in Eindhoven. Otavio presented his very first first-author paper entitled “Optimal Gain-scheduled POD for Power Systems with Hybrid HVDC Links”, co-authored with Harold Chamorro, Omar Kotb, Eduardo Prieto Araujo, and his PhD advisor Shehab Ahmed. With a great technical program and top-notch keynote speakers, this was a fantastic opportunity for Otavio to expand his network and get to know researchers and their

IEEE Innovative Smart Grid Technologies - Middle East 2023

1 min read ·
Maha Alsabban had the pleasure to attend the IEEE Innovative Smart Grid Technologies - Middle East (ISGT-ME 2023) held on 12-15 March at Khalifa University, Abu Dhabi, UAE. The aim of the IEEE-ISGT-ME Conference is to provide an international forum for experts to promote, share, and discuss innovations and developments in the field of smart grid technologies and applications. Maha presented her first-author paper entitled “Analysis and Verification of Islanding Detection Techniques for Grid Integrated PV Systems”, as part of her Masters Thesis research work co-authored with Otavio Jose Dezem
<> convex optimization (7)

A Storage-Optimal Convex Optimization Framework with Applications to Semidefinite Programming

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B9 L2 H2

With the ever-growing data sizes along with the increasing complexity of the modern problem formulations, there is a recent trend where heuristic approaches with unverifiable assumptions are overtaking more rigorous, conventional optimization methods at the expense of robustness. This trend can be overturned when we exploit dimensionality reduction at the core of optimization. I contend that even the classical convex optimization did not reach yet its limits of scalability.

Additive Schwarz Methods for Convex Optimization - Theory and Applications

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B5 L5 R5209

This talk is devoted to additive Schwarz methods for convex optimization. First, we propose an abstract framework for additive Schwarz methods for convex optimization. The framework's flexibility allows it to handle composite optimization problems and inexact local solvers. Moreover, it establishes a sharp convergence theory that agrees with the classical theory when addressing linear problems.

A new fast cooperative algorithm enhances target localization technique in wireless sensor networks

1 min read ·
Recently, a team of researchers from KAUST, including Yingquan Li, Bodhibrata Mukhopadhyay, and Mohamed-Slim Alouini, introduced a new cooperative localization technique that increases localization efficiency in wireless sensor networks. Known as FCUP (Fast Cooperative localization technique with Unknown transmit Power), this innovation contributes to tackling the longstanding challenge of localization without knowledge of transmitting power. FCUP offers an advanced solution to the problem of estimating the location and transmit power of nodes in real time. "FCUP represents a novel leap

Muhammad Hanif

Introduction Muhammad Hanif is a PhD Student at the University of Victoria, Victoria, Canada Education Muhammad got his B.S. and M.S. degrees in Electrical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan between 2005-2012. After graduation, he went to University of Victoria (UVic), Victoria, British Columbia, Canada as a Ph.D. in Electrical Engineering Research Interest Performance analysis of wireless systems Statistical signal processing Convex optimization Orthogonal frequency division multiplexing Synchronization in communication systems search

Khaled Alhujaili

Visiting Scholar, Information Science Lab
Exchange Student , Electrical Engineering at KAUST (King Abdullah University of Science and Technology)KAUST

Grigorii Malinovskii

Ph.D. Student, Computer Science
I am a PhD student in Applied Mathematics and Computational Science at King Abdullah University of Science and Technology, advised by Prof. Peter Richtárik, working on optimization theory and its applications in Machine Learning. My hobbies include drums, fitness, martial arts, football, and basketball.

Aritra Dutta

Postdoctoral Research Fellow, Applied Mathematics and Computational Science
Aritra Dutta is a Postdoctoral Research Fellow at the Extreme Computing Research Center (ECRC) in King Abdullah University of Science and Technology (KAUST), working with Professor Panagiotis Kalnis in his research group. Prior to that, he was a Postdoctoral Research Fellow in the Optimization and Machine Learning group of Professor Peter Richtárik. Education and Early Career Aritra Dutta received his bachelor degree in Mathematics (Hons.), Minor in Physics and Statistics from Presidency College in Calcutta University. He obtained a master degree in Mathematics and Computing from Indian
<> CVPR (7)

Five IVUL Papers Accepted to CVPR 2026

1 min read ·
IVUL has five papers accepted to CVPR 2026, which will be held in Denver, Colorado, June 3–7, 2026. The accepted papers are: β-CLIP: Text-Conditioned Contrastive Learning for Multi-Granular Vision-Language Alignment Authors: Fatimah Zohra, Chen Zhao, Hani Itani, Bernard Ghanem Affiliations: KAUST CURE: Curriculum-Guided Multi-Task Training for Reliable Anatomy-Grounded Report Generation Authors: Pablo Messina, Andrés Villa, Juan León Alcázar, Karen Sánchez, Carlos Hinojosa, Denis Parra, Álvaro Soto, Bernard Ghanem Affiliations: KAUST; Pontificia Universidad Católica de Chile EasyV2V: A High

Five Papers accepted to CVPR!!

1 min read ·
5 CVPR papers got accepted!!! 1 oral + 4 posters​​​​​

Best Business Plan at VIEW 2016

1 min read ·
Hachid won the award for the Venture pitch with the best business plan at the Fifth Annual Vision Industry and Entrepreneur Workshop (VIEW) 2016.

Six Papers accepted to CVPR17!

1 min read ·
6 CVPR papers got accepted!! 2 orals + 4 posters​​​

Hosted the 2nd annual ActivityNet challenge in CVPR 2017

1 min read ·
​​IVUL hosted the 2nd annual ActivityNet Large Scale Action Recognition Challenge during CVPR 2017.

Two Orals and three Posters Accepted to CVPR2018

1 min read ·
​IVUL got 5 papers accepted to CVPR in total including 3 poster and 2 oral presentation.

CVPR AC Meeting in Toronto

1 min read ·
​Prof. Ghanem participated in the CVPR 2018 AC Meeting in Toronto.
<> data visualisation (7)

Keynote Speaker | The 8th BEAR PGR Conference & Users Forum 2018

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The University of Birmingham in the United Kingdom

Abstract KAUST Assistant Professor Robert Hoehndorf will be a keynote speaker at the 8th BEAR PGR Conference & Users Forum​ at the University of Birmingham in the United Kingdom. This event focuses on, but not limited to, computational analysis and numerical modeling the conference will cater to researchers of all schools interested in BEAR facilities. Such as the use of the high-performance computing (HPC) system, BlueBEAR, cloud storage or data visualization.​

Task-driven Automated Data Visualization

Dr. Yunhai Wang, Professor, Computer Science, Shandong University, China

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B9 L2 H2 R2325

Abstract By providing visual representations of data, visualization can help people to carry out many data analysis tasks more effectively. Given a data set, however, there are often too many possible visualization techniques, with each technique having many parameters to be tuned. This arises the question is if it is possible to automatically design a visualization that is best suited to pursue a given task on given input data. With my group, I developed a number of techniques to achieve this goal for different data sets such as time-series data, high-dimensional data, text as well as graphs

Large-Scale Visualization of Scientific Data

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KAUST

"A picture is worth a thousand words", and by going beyond static images, interactive visualization has become crucial to exploring, analyzing, and understanding large-scale scientific data. This is true for many areas of science and engineering, such as high-resolution imaging in neuroscience or materials science, as well as in large-scale fluid simulations of the Earth’s atmosphere and oceans, or of trillion-cell oil reservoirs. However, the fact that the amount of data in data-driven sciences is increasing rapidly toward the petascale, and further, presents a tremendous challenge to interactive visualization and analysis. Nowadays, an important enabler of interactivity is often the parallel processing power of GPUs, which, however, requires well-designed customized data structures and algorithms. Furthermore, scientific data sets do not only get larger, they also get more and more complex, and thus have become very hard to interpret and analyze. In this talk, I will give an overview of the research of my group in large-scale scientific visualization, from data structures and algorithms that enable petascale visualization on GPUs, to novel visual abstractions for interactive analysis of highly complex structures in neuroscience, to novel mathematical techniques that leverage differential geometric methods for the detection and visualization of features in large, complex fluid dynamics data on curved surfaces such as the Earth.

Thoughts on how to Effectively Explore Visual Representations in Mixed Reality

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B9 L2 R2322 H1

In this talk I will report on various research projects that I carried out with my students to better understand the interaction landscape and will report on lessons we learned. I will focus mostly on AR-based setups with application examples from physical flow visualization, molecular visualization, visualization of particle collisions, biomolecular dynamics in cells, and oceanography. I will show interaction techniques that rely on purely gestural interaction, phones or tablets as input and control devices, and hybrid setups that combine traditional workstations with AR views. I will discuss navigation, data selection, and visualization system control as different interaction tasks. With this overview I aim to provide an understanding of typical challenges in immersive visualization environments and how to address some of these challenges.

Dr. Ciril Bohak Joins the Visual Computing Center

1 min read ·
We are proudly announcing that Dr. Ciril Bohak has joined VCC as a Postdoctoral researcher of Computer Science in October, 2020. Ciril Bohak is a Postdoctoral Researcher and Teaching Assistant in the Laboratory for Computer Graphics and Multimedia, Faculty of Computer and Information Science, University of Ljubljana, Slovenia. His main research interests are Computer Graphics, Data Visualization, and Game Technology. His current research includes real-time medical and biological volumetric data visualization on the web, visualization of geodetic data (LiDAR and orthophoto) and high-energy

Juris Grigs

Ph.D. Student, Computer Science
Juris Grigs is a Computer Science Ph.D. student in the KAUST High-Performance Visualization Group (VCCVis) under the supervision of Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career Juris obtained his bachelor's degree in ​Physics from the University of Latvia in 2017. He joined KAUST as an Electrical Engineering student with the Integrated Microwaves Packaging Antennas & Circuit Technology (IMPACT) Research Group. Now,he is a Ph.D. student in the VCCVis Research Group. Research Interests Juris's research interests include ​data

Ciril Bohak

Research Scientist, Computer Science
Ciril Bohak was a Research Scientist in the NANOVIS Group, working with Professor Ivan Viola at King Abdullah University of Science and Technology (KAUST). He was a member of the Nanovisualization Research Group and works on development of novel rendering and visualization methods for visualizing data at the nano scale. Education and Early Career Ciril obtained his B.Sc., M.Sc. and Ph.D. in Computer Science from University of Ljubljana. He started his career as researcher in Laboratory for Computer Graphics and Multimedia researching in fields Music Information Retrieval, Computer Graphics and
<> device fabrication (7)

ASL welcomes the first postdoctoral fellow, Haiding Sun

1 min read ·
ASL welcomes the first postdoctoral fellow, Haiding Sun.

Xuecui Zou

Introduction Xuecui Zou is a PhD student under the supervision of Dr. Hossein Fariborzi and Dr. Khaled Salama in Electrical Engineering at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia, Department of Computer, Electrical and Mathematical Science and Engineering (CEMSE). Research Interests Research Interests ​Ultra-low power Micro-resonators for logic and sensing applications​ Education ​ The senior student of UESTC(University of Electronic and Science Technology of China)​ Non-KAUST Affiliations ​ University of Electronic Science and Technology of China (UESTC)​​​

Sally Ahmed

Sally Ahmed was a Ph.D. student in Electrical Engineering in the Computer, Electrical and Mathematical Science & Engineering division of King Abdullah University of Science and Technology. She was a member of the Integrated Circuits and Systems research group (ICS) from May 2016 to December 2020 and her thesis was supervised by Prof. Hossein Fariborzi. Sally obtained her Master's degree in Electrical Engineering from KAUST in 2013 and has a Bachelor's degree in Electronics Engineering from American University in Cairo (AUC). Research Interests Sally's research interests include MEMS Devices

Rongyu Lin

Rongyu Lin is a Ph.D. student at the Advanced Semiconductors Laboratory under the supervision of Prof. Xiaohang Li at King Abdullah University of Science and Technology (KAUST). He received his Bachelor of Science in Physics from the Southern University of Science and Technology. Research Interest Rongyu's research interests include 2D materials characterization, device fabrication, and Optoelectronics.

Pawan Mishra

Pawan Mishra joined KAUST in Aug 2012 as a Ph.D. student in Photonics Laboratory. He obtained a Ph.D. degree in Electrical Engineering under the supervision of Professor Boon Ooi. Pawan’s Ph.D. work focused on the epitaxial growth process of III-V compound semiconductors using Plasma assisted Molecular Beam Epitaxy for Optoelectronics devices. Previously 2009-2012, he held the position of Faculty Member within the Department of Electronics and Communication, at ICFAI University, Dehradun (IUD) India. During his stay at IUD, he was involved in the Fiber optics and Optoelectronics devices. Pawan

Hsiao Tzu Huang

Visiting Student, Photonics Laboratory
Peggy Huang Hsiao Tzu was a Visiting student from National Taiwan University, NTU at Professor Boon Ooi's Photonics Laboratory at King Abdullah University of Science and Technology (KAUST). She holds a Bachelor degree in Electrical Engineering (National Taiwan University, NTU 2017). Before joining NTU, she spent 6 years studying in Singapore. Research Interests Hsiao's research interests included device fabrication and characterization, specifically solid-state lighting devices for present and future applications. Awards and Distinctions First runner-up in NTU English Presentation Contest

Haiding Sun

Postdoctoral Research Fellow, Advanced Semiconductor Laboratory
Haiding Sun was a Postdoctoral Research Fellow working with Professor Xiaohang Li at the Advanced Semiconductor Laboratory at King Abdullah University of Science and Technology (KAUST). Education and Early Career Dr. Sun received his Ph.D. in Electrical Engineering from Boston University, Massachusetts, in the United States in 2015. His Ph.D. dissertation title was “Development of Aluminum Gallium Nitride-Based Emitters In The Form of Graded-Index Separate Confinement Heterostructure (GRINSCH)." Research Interests Dr. Sun ’s research works cover various aspects of semiconductor device designs
<> extreme statistics (7)

Modeling Complex Dependence in Multivariate Time Series, with Applications to Brain Signals

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This thesis develops approaches to address issues and limitations associated with multivariate processes generated from unknown complex systems such as brain signals.

Understanding Extreme Market Behavior: The Efficient Tail Hypothesis

2 min read ·
A new study by researchers Junshu Jiang, James Richards, Raphaël Huser, and David Bolin introduces the Efficient Tail Hypothesis (ETH), an analogue of the Efficient Market Hypothesis focused on extreme events in financial markets. Drawing on extreme value theory, the team developed a novel statistical measure to evaluate whether asset markets remain informationally efficient even during rare, extreme fluctuations. Their findings not only challenge conventional wisdom on market efficiency but also open the door to identifying potential opportunities (and risks) that emerge during market

Spatial Models and Extreme-Value Methods for Wildfire Risk Assessment

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B3 L5 R5220

The statistical modeling of spatial and extreme events provides a framework for the development of techniques and models to describe natural phenomena in a variety of environmental, geoscience, and climate science applications. In a changing climate, various natural hazards, such as wildfires, are believed to have evolved in frequency, size, and spatial extent, although regional responses may vary.

Modeling the neighborhood boosts landslide prediction

1 min read ·
A prediction model that considers multiple landslides over time in a given region may improve the accuracy of early warning systems.

Star light, star bright…as explained by math

1 min read ·
The evolving periodicity of the brightness of certain types of stars can now be described mathematically.

Competition sheds light on approximation methods for large spatial datasets

1 min read ·
Marc Genton, Huang Huang and colleagues from KAUST organized a global competition with 21 competing teams to compare different approximation methods for analyzing large spatial datasets.

Paolo Victor Redondo

Ph.D. Student, Statistics
Ph.D. Student in Statistics at the King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Raphaël Huser and Prof. Hernando Ombao.
<> Field Robots (7)

Developing Marine Robotics for the Western Indian Ocean - Needs, designs and applications

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B18 Fellowship Hall

Featured Sessions
Abstract The Western Indian Ocean (WIO) is one of the fastest warming parts of the global ocean. There is no doubt that this is due to Climate Change. Model projections indicate Sea Surface Temperature (SST) in the tropical WIO will rise some 5°C by 2100 with drastic destructive changes in the marine ecosystems and fisheries, impacting food security for the 60 M people who are dependent on this ocean. Inland droughts will accentuate this problem. By 2035 emergency food relief will be need in Mozambique, Kenya, Tanzania, Madagascar, Comoros, and Somalia (already happening). Emergency mitigation

Underwater Robot for Shallow Water Pipeline Inspection & Monitoring

Hassane Trigui, Research & Development Center, Aramco

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B18 Fellowship Hall

Featured Sessions
Abstract Remotely operated Vehicles (ROVs) are widely used in deep water to perform various types of activities in the Oil and Gas sector and beyond. However, for extreme shallow waters, that is less than 10 meters in depth, the ROV market is severely underserved. In addition, ROV operations in shallow waters are more challenging than deeper waters due to the difficulty in accessing shallow sites with large vessels that can support divers and ROVs in their operations. Robotics Engineers from Aramco have developed a unique underwater robot specifically designed to operate in shallow waters area

At the Limits of the Red Sea - challenges of deep marine sciences

Prof. Froukje M. van der Zwan, Physical Science and Engineering, Earth Science and Engineering, King Abdullah University of Science and Technology

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B18 Fellowship Hall

Featured Sessions
Abstract The Red Sea is a unique marine environment where we can study the formation of a new ocean basin, which is host to rare ecosystems due to its young and enclosed character and special environmental conditions. The deep Red Sea Rift is particularly interesting as the new oceanic crust is formed by volcanic activity along the entire basin, which, together with hydrothermal activity and the occurrence of brine pools, provides unique habitats. The Red Sea Rift is >1,000 m deep, far past the limits of scuba diving, and reaches almost 3,000 m in some areas. Salinity is >40 PSU, and the

Exploring the Blue Frontier with Cooperative Marine Robots

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B18 Fellowship Hall

Featured Sessions
Abstract The last decade has witnessed tremendous progress in the development of marine technologies that are steadily affording scientists advanced equipment and methods for ocean exploration and exploitation. Recent advances in marine robotics, sensors, computers, communications, and information systems are being applied to the development of sophisticated technologies that will lead to safer, faster, and far more efficient ways of exploring the ocean frontier, especially in hazardous conditions. As part of this trend, there has been a surge of interest worldwide in the development of

Deep benthic environments: an endless (but stimulating) challenge for marine robotics

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B18 Fellowship Hall

Featured Sessions
Abstract In the past 50 years, marine robotics had a huge impact on marine sciences, providing countless support tools for a better understanding of the benthic environments. The endless need for a higher level of resolution in our maps, the application of specific protocols for monitoring programs, measuring the different components of the water column, and collecting the smallest or most delicate biological samples have pushed the technology always over its limits. Finally, the introduction of AI in acoustic and underwater video technologies is bringing now the analyses to a higher level of

Semi-autonomous systems enable advances in Earth Observation

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B18 Fellowship Hall

Featured Sessions
Abstract The description and characterization of the Earth system is a field that routinely leverages technological advances to improve our understanding of diverse ecosystems. One of the most promising areas of application is the use of autonomous and semi-autonomous platforms in precision agriculture. Such systems are capable of performing data collection, analysis, and decision-making tasks with minimal human intervention. The Hydrology, Agriculture, and Land Observation (HALO) laboratory at KAUST is at the forefront of this technology, employing a combination of satellites, UAVs and most

Smart Agricultural Robotics for Monitoring Coral Reefs and Plants: A vertical farming perspective

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B18 Fellowship Hall

Featured Sessions
Abstract Aquaponics is a vertical farming technique and an integrated production of fish and hydroponic crops with recirculation of the aquaculture effluent used by the plant as fertilizer. This technique offers high water efficiency, a faster growth rate, and high crop yields. Despite all the advantages offered by this technology, its implementation on a commercial scale is hindered by many technical and economic factors, which can be addressed by integrating smart technologies, automation, and control. Together with the landmark technologies of Industry 4.0, such as robotics, artificial
<> Finite elements (7)

A Dichotomy of Continuous Finite Element Spaces and Its Application to Energy-Conservative Galerkin Methods for Nonlinear and Dispersive Wave Equations

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B1 L3 R3119

This talk illustrates why energy-conservative Galerkin methods for nonlinear and dispersive wave equations achieve optimal convergence rate with odd-degree polynomials.

Towards Finite Element Tensor Calculus

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B1 L3 R3119

In this talk we provide an overview of some efforts to develop finite elements for tensors, motivated by the need for structure-preserving and compatible discretization.
numpdew

NumPDE Workshop 2025

The Group hosted the NumPDE Workshop on Numerical Analysis of PDEs on January 26-28, 2025, uniting researchers and experts in numerical analysis to discuss the latest advancements in computational methods for science and engineering. Thank you for all speakers and participants for driving impactful discussions and fostering new collaborations. Book of Abstracts: here List of talks and slides Speaker Affiliation Talk Naveed Ahmed Gulf University of Science and Technology, Kuwait Higher-Order discontinuous Galerkin time discretization and convection stabilized pressure robust method for

High-order non-conforming finite elements for the Stokes equation

Stefan Sauter, Professor, Institute of Mathematics, University of Zurich

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B2 L5 R5220

We consider non-conforming discretizations of the stationary Stokes equation in two and three dimensions by Crouzeix-Raviart type elements. The original definition in the seminal paper by M. Crouzeix and P.-A. Raviart in 1973 is implicit and also contains substantial freedom for a concrete choice.

Finite element approximations for variable-order fractional diffusion problems

Prof. Wenyu Lei, University of Electronic Science and Technology of China

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B4 L5 R5209

We propose a finite element scheme for fractional diffusion problems with varying diffusivity and fractional order. A number of challenges are encountered when discretizing such problems. The first is the heterogeneous kernel singularity in the fractional integral operator. The second comes from the dense discrete operator with its quadratic growth in memory footprint and arithmetic operations. To address these challenges, we propose a strategy that decomposes the system matrix into three components. The first is a sparse matrix that handles the singular near-field separately and is computed by adapting singular quadrature techniques available for the homogeneous case to the case of spatially variable order.

Rolf Krause

Professor Rolf Krause is an experienced researcher and educator specializing in designing and analyzing algorithms to solve complex problems in scientific computing and machine learning.

Daniele Boffi

Professor Boffi is a leading international expert in mixed finite elements and the approximation of eigenvalue problems arising from partial differential equations.
<> Free-space optical communications (7)

Tapping Into the Full Potential of the Stratosphere

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B9 L2 R2325

This talk examines how High-Altitude Platform Stations (HAPS) leverage intelligent beam management and optical links to democratize broadband access and provide resilient solutions for disaster recovery.

Abderrahman Kantos

Abderrahman Kantos is currectly a Ph.D. student in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini at King Abdullah University of Science and Technology (KAUST). Education and Early Career Before beginning his doctoral studies, Abderrahman completed an internship at RTE (Réseau de Transport d’Électricité), working on quantum computing and the development of quantum algorithms. At École Polytechnique, he participated in the Projet Scientifique Collectif (PSC). His team ranked among the top 10 out of more than 100 teams, under the project title

Gleb Ludnikov

To strive and explore, to uncover and never give in.

Color-Converting Luminescent Devices for High-Speed Optical Wireless Communication

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B3 L5 R5209

This dissertation advances optical communication systems by exploring and integrating novel luminescent materials, including MOFs, perovskite nanosheets and quantum dots, and organic fluorophores, to enhance speed, efficiency, and versatility in applications ranging from high-speed visible-light communication and ultraviolet free-space communication to underwater wireless optical communication and optical amplification.

Professor Mohamed-Slim Alouini named a Fellow of SPIE and a Distinguished Lecturer of the IEEE Photonics Society

4 min read ·
Professor Mohamed-Slim Alouini earns SPIE Fellow and IEEE Distinguished Lecturer titles, highlighting his influential contributions to optical wireless communications.

Camellia Saeed Mouhammad

I found in KAUST the optimum lifestyle customized for me. Where I can work with world-class professors, have access to leading research labs, also a safe and fun community to live and grow.

Anas Chaaban

Postdoctoral Research Fellow, Communication Theory Lab
Anas Chaaban was a Postdoctoral Research Fellow in CTL(Communication Theory Lab), KAUST. He now is an assistant professor in University of British Columbia (UBC), British Columbia , Canada Selected Publications Ph.D. Thesis A. Chaaban, “Relaying for Interference Management,” Faculty of Electrical Engineering and Information Technology, Ruhr-University of Bochum, Bochum, Germany, July 2013. M.S. Thesis A. Chaaban, “Some Aspects of Adaptive Decoding of Concatenated Codes,” Institute of Telecommunications and Applied Information Theory, University of Ulm, Ulm, Germany, June 2009. Journal
<> FSO systems (7)

Tapping Into the Full Potential of the Stratosphere

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B9 L2 R2325

This talk examines how High-Altitude Platform Stations (HAPS) leverage intelligent beam management and optical links to democratize broadband access and provide resilient solutions for disaster recovery.

Discussion on Different set-ups for Free Space Optical Systems

Dr. Anshul Jaiswal, Assistant Professor, Electronics Engineering, Indian Institute of Technology Roorkee

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B1 L2 R2202

As the title suggests, this interaction focuses on three different set-ups of free-space optical (FSO) communication. We will start with the historical background of FSO system and review traditional data transmission techniques for FSO system. In the first set-up, we will discuss a novel modulation scheme for traditional multi-input multi-output configuration, called optical space shift keying (OSSK). Two recent modified versions of OSSK scheme will also be elaborated.

Wireless Communications using Light - not all wireless is at RF

Prof. Steve Hranilovic, Associate Dean, McMaster University, Canada and Dr. Imran Shafique Ansari, Assistant Professor, University of Glasgow, United Kingdom

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KAUST

Due to the increasing scarcity of RF spectrum and growing interference due to multiple users, deploying next generation high-speed wireless networks is becoming increasingly difficult. The use of unlicensed optical bands for wireless communications has been heralded as an exciting development for future broadband access for indoor, underwater and space communication links.

Richa Priyadarshani

Postdoctoral Research Fellow, Electrical and Computer Engineering
Richa Priyadarshani is a Postdoctoral Fellow at Electrical and Computer Engineering department, King Abdullah University of Science and Technology (KAUST), working with Professor Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Richa Priyadarshani received the Master of Engineering (M.E.) degree in wireless communications engineering from the Birla Institute of Technology, Mesra, Ranchi, India, in 2013 and the Ph.D. degree in optical wireless communication from the department of electrical engineering, Indian Institute of Technology (IIT), Delhi, India in 2021

Jiajie Xu

Postdoctoral Research Fellow, Electrical and Computer Engineering
Jiajie Xu is a Postdoctoral Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Jiajie Xu received his Master's Degree in Control Theory and Control Engineering from Yanshan University, China, in 2019 and received his Ph.D. degree in Electrical and Computer Engineering from KAUST, KSA, in 2023. Scientific Interest Jiajie Xu is interested in signal processing, acoustic and optical

Heyou Liu

Fahad Salem Alqurashi

Fahad Alqurashi's research focuses on hybrid Free-Space Optical (FSO) and Radio Frequency (RF) communication systems, alongside low-band solutions like TV White Space, to overcome connectivity challenges in remote and rural areas, aiming to bridge the digital divide and advance 5G/6G technologies.
<> functional data analysis (7)

Emmanuel Ambriz

Postdoctoral Research Fellow, Statistics

Functional data depth and its application in the visualization of spatio-temporal covariance structures

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KAUST

Functional data analysis is a very active research area due to the overwhelming existence of functional data. In the first part of this talk, I will introduce how functional data depth is used to carry out exploratory data analysis and explain recently-developed depth techniques. In the second part, I will discuss spatio-temporal statistical modeling. It is challenging to build realistic space-time models and assess the validity of the model, especially when datasets are large. I will present a set of visualization tools we developed using functional data analysis techniques for visualizing covariance structures of univariate and multivariate spatio-temporal processes. I will illustrate the performance of the proposed methods in the exploratory data analysis of spatio-temporal data.

Multivariate Functional Data Analysis and Visualization

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B3 L5 R5220

As a branch of statistics, functional data analysis studies observations regarded as curves, surfaces, or other objects evolving over a continuum. Current methods in functional data analysis usually require data to be smoothed and analyzed marginally, which may hide some outlier information or take extra time on pretreating the data. After exploring model-based fitting for regularly observed multivariate functional data, we explore new visualization tools, clustering, and multivariate functional depths for irregularly observed (sparse) multivariate functional data.

CEMSE New Faculty: Joaquín Ortega Sánchez, Instructional Professor, Statistics

3 min read ·
Joaquín Ortega Sánchez is an instructional professor of statistics who joins the KAUST CEMSE Division after spending the last sixteen years working at the Mathematics Research Center (CIMAT) in Guanajuato, Mexico. Born in Venezuela, Ortega completed his postgraduate and graduate studies in London, where he studied mathematics at King’s College London, before obtaining his Ph.D. in Probability Theory across the city at Imperial College London. After his time in the U.K., he returned to his native Venezuela where he worked for over 20 years at the Universidad Central de Venezuela, Caracas. Over the course of his career, Ortega’s research work has focused on stochastic processes, specifically Gaussian processes and time series with applications in oceanography and biostatistics. And more recently his work has focused on functional data analysis.

Joaquin Ortega Sanchez

Instructional Professor, Statistics
Joaquín Ortega Sánchez is an instructional professor of statistics whose work has focused on stochastic processes, specifically Gaussian processes and time series, and more recently, functional data analysis.

Joydeep Chowdhury

Postdoctoral Research Fellow, Statistics
Joydeep Chowdhury is a postdoctoral fellow in the Spatio-Temporal Statistics & Data Science research group of Professor Marc G. Genton. His current research activities focus on problems in multivariate statistics, spatial statistics and functional data analysis.

Cristian Felipe Jiménez Varón

Ph.D. Student, Statistics
Cristian Felipe Jiménez Varón is a Ph.D. candidate in the KAUST Environmental Statistics research group under the supervision of Professor Ying Sun. Before joining KAUST, Cristian obtained a master's degree in applied mathematics from the Universidad Nacional de Colombia Sede Manizales (UNAL), Colombia. He also holds dual bachelor's degrees in industrial engineering and chemical engineering from UNAL. Research Interests Cristian's research interests include the analysis of large volumes of data, statistical modeling and environmental statistics.
<> graph mining (7)

Novel Computational Methods to Predict Drug–target Interactions Using Graph Mining and Machine Learning Approaches

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B3 L5 R5220

Abstract Computational drug repurposing aims at finding new medical uses for existing drugs. The identification of novel drug-target interactions (DTIs) can be a useful part of such a task. Finding computationally DTIs is a convenient strategy to identify potentially new DTIs at low cost with reasonable accuracy. However, the current DTI prediction methods suffer a high false positive prediction rate. Here, we present a comprehensive review of the recent progress in the field of DTI prediction from data-centric and algorithmic-centric perspectives that can help in constructing novel reliable

Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production by Olaa Motwalli

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B3 L5 R5209

Abstract Finding a source from which high-energy-density biofuels can be derived at an industrial scale has become an urgent challenge for renewable energy production. Some microorganisms can produce free fatty acids (FFA) as precursors towards such high-energy-density biofuels. In particular, photosynthetic cyanobacteria are capable of directly converting carbon dioxide into FFA. However, current engineered strains need several rounds of engineering to reach the level of FFA production for it to be commercially viable. Thus, new chassis strains that require less engineering are needed

Drug Repositioning through the Development of Diverse Computational Methods using Machine Learning, Deep Learning, and Graph Mining

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KAUST

In this dissertation, we combined artificial intelligence and machine/deep learning with chemical and biological properties to develop several computational methods to solve biomedical domain problems, specifically drug repositioning, and demonstrated their efficiencies and capabilities. We developed three network-based DTI prediction methods using machine learning, graph embedding, and graph mining. These methods significantly improved prediction performance, and the best-performing method even reduces the error rate by more than 33% across all datasets compared to the best state-of-the-art method. As it is more insightful to predict continuous values that indicate how tightly the drug binds to a specific target, we conducted a comparison study of current regression-based methods that predict drug-target binding affinities (DTBA). Our methods demonstrated their efficiency and capability by achieving high prediction performance and identifying therapeutic targets for several cancer types. We further conducted a lung cancer case study of findings that support the novel predicted targets.

Student life: studying and working at the Computational Bioscience Research Center (KAUST)

3 min read ·
For Ph.D. students Arturo Magana Mora, Haitham Ashoor and Olaa Motwalli, April 2017 was a particularly nerve-wracking month. After years of hard work and sleepless nights, they finally defended their thesis, bringing them one step closer to graduation.

Rawan Olayan

Rawan Olayan obtained both, her MS Degree and PhD Degree from Computer Science at KAUST in 2013 and 2018 respectively. Her master thesis and PhD thesis supervisor was Vladimir Bajic. Under the supervision of her advisor Professor Vladimir Bajic, she completed her thesis on developing novel computational methods to predict drug-target interactions and their functional effects using data integration, graph mining and machine learning approaches. Currently, Rawan is working as a postdoctoral associate in the Carter Lab at the Jackson Laboratory for Genomic Medicine in Farmington, Connecticut. In

Olaa A. Motwalli

Research Interests Olaa Motwalli is a Ph.D. student in Computational Science and a member of the Computational Bioscience Research Center (CBRC) at KAUST. She obtained her Bachelor's degree in Computer Science at King Abdul Aziz University in Jeddah and obtained her Master's degree in Computer and Software Engineering at Widener University in the USA. Her research interests are mainly the development and computational support for the design of sustainable biofuel production via microbial cell factories through machine learning, graph mining, and algorithm development, genome-scale metabolic

Karim Awara

Karim Awara obtained his Master's Degree in Computer Science under the supervision of Professor Panagiotis Kalnis from King Abdullah University of Science and Technology. Research Interests Karim's research interests included the Database and High-Performance Computing field. Awards and Distinctions Awarded, internationally, as one of the best 5 teams in SIGMOD 2010 contest for developing high multi-query optimization techniques. And presented the work at SIGMOD conference, June 2010 in Indianapolis, IN, USA. Rewarded as one of the top four teams in Egypt in a software Engineering competition
<> Graph Neural Networks (7)

Efficient Machine Learning for Scientific and Medical Applications

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B4/5 L0 A0215

This dissertation addresses key challenges of machine learning in scientific and medical domains by developing methods that improve model efficiency, data efficiency, and learning under real-world constraints.
KAUST-CEMSE-CS-PhD-Dissertation-Defense-Xiaochuan-Gou-Explainability-and-Efficiency-in-Spatio-Temporal-Models

Explainability and Efficiency in Spatio-Temporal Models: Applications to Traffic Forecasting

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This dissertation addresses key challenges in deep learning-based traffic forecasting, including computational efficiency, model interpretability, and data limitations, despite recent progress in spatio-temporal modeling techniques.

Theoretical Foundations of Efficient and Scalable Graph Learning

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Auditorium between Building 2 - 3, L0 R0215

This talk addresses key challenges in graph neural networks (GNNs), including expressive power and model depth, by theoretically analyzing and providing solutions in three areas: universal approximation of linear program properties, strong expressive power of subgraph GNNs on graphs with bounded cycles, and the role of residual connections in mitigating oversmoothing and enabling deeper models.

Towards Structured Intelligence with Deep Graph Neural Networks

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B5 L5 R5209

This dissertation discusses approaches to building large-scale and efficient graph machine learning models for learning structured representation with applications to engineering and sciences. This work would present how to make Graph Neural Networks (GNNs) go deep by introducing architectural designs and how to automatically search GNN architectures by novel neural architecture search algorithms.

Yasir Ghunaim

Yasir is a Computer Science Ph.D. student in Image and Video Understanding Lab (IVUL) Group at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Bernard Ghanem.

Rihan Huang

M.S. Student, Computer Science

Juyi Lin

M.S. Student, Computer Science
Juyi Lin is a computer science MS/Ph.D. student supervised by Prof. Marco Canini. He obtained an EE bachelor’s degree from Zhejiang University, Hangzhou, China 2022. And now he is working on Graph Neural Network training accelerating. Juyi is from China, Zhejiang Province, Wenzhou city. He is a fan of rowing and Ultimate Frisbee and enjoys communicating with people from all over the world.
<> high dimensional statistics (7)

2018 Workshop on Statistics and Data Science

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Auditorium 0215 between Buildings 4 & 5

The Statistics Program at KAUST is proud to host the 2018 Workshop on Statistics and Data Science. This workshop gathers the leading experts on statistical data science to discuss the current needs, challenges and opportunities of modeling massive and high dimensional data, predicting complex biological and physical processes. The workshop will run from November 12-14. Talks and posters presentations will take place in Auditorium 0215 (between Buildings 4 & 5). View Workshop's Agenda.

Random Matrix Theory: Selected Applications from Statistical Signal Processing and Machine Learning

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B1 L4 R4214

Random matrix theory is an outstanding mathematical tool that has demonstrated its usefulness in many areas ranging from wireless communication to finance and economics. The main motivation behind its use comes from the fundamental role that random matrices play in modeling unknown and unpredictable physical quantities. In many situations, meaningful metrics expressed as scalar functionals of these random matrices arise naturally. Along this line, the present work consists in leveraging tools from random matrix theory in an attempt to answer fundamental questions related to applications from statistical signal processing and machine learning.

Ph. D. Student Khalil Elkhalil nominated finalist for the Best Student Paper Award in the IEEE MLSP Conference

2 min read ·
Fast-placing Machine Learning (ML) is continuously in need of new algorithms, but testing their effectiveness is utterly time-consuming. "Asymptotic Performance Of Regularized Quadratic Discriminant Analysis Based Classifiers," a new paper presented by CEMSE Ph.D. Student Khalil Elkhalil puts ML on the fast gear and a finalist for the Best Student Paper Award in the IEEE MLSP Conference held last September in Roppongi, Tokyo, Japan.

Zipei Geng

Ph.D. Student, Statistics

Sarbojit Roy

Postdoctoral Research Fellow, Statistics

Khalil Elkhalil

Postdoctoral Research Fellow, Electrical and Computer Engineering
PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.

Ayed M. Alrashdi

Ph.D. Student (former), Electrical and Computer Engineering
Ph.D. degree in electrical and computer engineering from the King Abdullah University of Science and Technology (KAUST) working with Professor Tareq Al-Naffouri in the Information System Lab (ISL),Assistant Professor with the Electrical Engineering Department at University of Ha'il
<> in-memory sensing (7)

Device-Level Intelligence for Adaptive Sensing and Bio-Integrated Systems

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Inspired by biological sensory systems, this talk presents our efforts toward neuromorphic sensing, where these functions are integrated within the same device using multifunctional memory technologies.

Smart in-memory light sensors perform image recognition

3 min read ·
Light-sensitive memory elements that can be programmed optically offer promise for more efficient real-time image analysis.

Shicheng Su

Shicheng Su is currently an MSc/Ph.D. at the SAMA lab. He received his BSc from the University of Electronic Science and Technology of China, China, in 2022 His research interests include smart memory devices, neuromorphic and in-memory computing.

Nazek El-Atab

Professor El-Atab's research focuses on enhancing an increasingly digitized world by utilizing multifunctional memory devices for emerging applications such as artificial intelligence, the Internet of Things (IoT) and augmented reality.

Hanrui Li

Hanrui Li is currently a MS/PhD student at SAMA lab. He received his bachelor degree from Changchun University of Science and Technology, China in 2022. During June 2021 to April 2022, he worked as a visiting research student at Mohamad Sawan's lab, Westlake University. His research interests include smart memory devices and neuromorphic computing.

Dayanand Kumar

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dayanand Kumar is a Postdoctoral Research Fellow focusing his research on smart multifunctional optoelectronic synaptic devices.

Abdul Momin Syed

<> inkjet printing technologies (7)

A modern way to heal old wounds

1 min read ·
Injuries that fail to heal within three months, such as many diabetic foot ulcers, can require years of treatment and significant healthcare resources. A sensor-laden bandage developed by a research team at KAUST promises to reduce the burden on hospitals and enhance patient well-being by transforming how chronic wounds are monitored.

Thinking outside the box in flood control

1 min read ·
Floating paper cubes containing low-cost, inkjet printed electronic sensors can wirelessly monitor floods in real time.

Tuning in to magnetic ink

1 min read ·
A new ink containing iron oxide nanoparticles can be turned into fully printed and versatile components for cellular networks.

PhD candidate Amal Mohammed Alamri gets a research grant from GPURC

1 min read ·
KAUST Electrical Engineering PhD candidate Amal Mohammed Alamri, was recently awarded a research grant by the Grants Programs for Universities and Research Centers (GPURC) . The Graduate Research Program is a new long-term strategic program in the Saudi research and development support ecosystem aimed at boosting Saudi Arabia's position among leading countries in the field of science, technology and innovation. The GPURC is one of the NTP (2020) initiatives supervised by the King Abdulaziz City for Science and Technology (KACST) which is the Saudi government's national laboratory and funding agency for scientific programs across the kingdom.

A Paper-based Inkjet-printed PEDOT: PSS/ZnO Sol-gel Hydrazine Sensor

1 min read ·
Tutku Beduk, et al., "A Paper-based Inkjet-printed PEDOT: PSS/ZnO Sol-gel Hydrazine Sensor." Sensors and Actuators B: Chemical 306, 2020, 127539. Hydrazine is widely used in industries as a precursor for blowing agents, pharmaceuticals, and pesticides. It is a highly toxic compound; therefore, it is of paramount interest to develop new analytical methods for the detection and control of hydrazine exposure. In this work, we describe the fabrication of an all inkjet-printed paper sensor composed of poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) electrode functionalized with

Eloise Bihar

Postdoctoral Research Fellow, Sensors
Eloise is a postdoctoral fellow specialized in the field of Printed electronics for biomedical applications. Education and early career Eloise received her M.Sc. in engineering, from Grenoble INP-Pagora, in Grenoble, France, in 2010. She later received her PhD. in bioelectronics from Ecole des Mines de Saint Etienne in France in 2016 under the guidance of Prof. George Malliaras. She is currently working in Prof. Khaled Salama’s group, in collaboration with the groups of Prof. Inal and Prof. Baran. Research Interests Eloise’s current research focuses on the fabrication of printed autonomous

Amal M. AlAmri

Amal Al-Amri is a Ph.D. candidate in Electrical Engineering at the King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Jr-Hau-He. Amal received her B.Sc. in Physics from King Abdulaziz University in Saudi Arabia and proceeded to obtain her M.Sc. with a concentration in Nanomaterial's Science in Physics from King Abdulaziz University. As an active member of the Saudi Association for Physical Sciences and a member of the Talented Center King Abdulaziz University, she was able to win the Innovative Award at King Abdulaziz University in 2008 and got the second
<> internships (7) <> ISL Highlighted Publications (7)

Energy Conservation in Adaptive Filtering

1 min read ·
A. H. Sayed, Tareq Y. Al-Naffouri, and Vitor H. Nascimento, "Energy conservation in adaptive filtering", Nonlinear Signal and Image processing: Theory, Methods, and Applications, CRC Press, November 2003. Introduction: The study of the steady-state and transient performance of adaptive filters is a challenging task because of the nonlinear and stochastic nature of their update equations (e.g., References 1 to 4). The purpose of this chapter is to provide an overview of an energy-conservation approach to study the performance of adaptive filters in a unified manner.4 The approach is based on

On the Distribution of Indefinite Quadratic Forms in Gaussian Random Variables

1 min read ·
T. Y. Al-Naffouri and M. Moinuddin and N. Ajeeb and B. Hassibi and A. L. Moustakas, "On the Distribution of Indefinite Quadratic Forms in Gaussian Random Variables", IEEE Transactions on Communications. vol. 64 , pp. 153-165, Jan 2016. Abstract: In this work, we propose a unified approach to evaluating the CDF and PDF of indefinite quadratic forms in Gaussian random variables. Such a quantity appears in many applications in communications, signal processing, information theory, and adaptive filtering. For example, this quantity appears in the mean-square-error (MSE) analysis of the normalized

Compressive Sensing for Millimeter Wave Antenna Array Diagnosis

1 min read ·
M. E. Eltayeb, T. Y. Al-Naffouri and R. W. Heath, "Compressive Sensing for Millimeter Wave Antenna Array Diagnosis", IEEE Transactions on Communications. pp. 1-Jan, Jan 2018. Abstract: The radiation pattern of an antenna array depends on the excitation weights and the geometry of the array. Due to wind and atmospheric conditions, outdoor millimeter wave antenna elements are subject to full or partial blockages from a plethora of particles like dirt, salt, ice, and water droplets. Handheld devices are also subject to blockages from random finger placement and/or finger prints. These blockages

Impulse Noise Estimation and Removal for OFDM Systems",  IEEE Transactions on Communications

1 min read ·
T. Y. Al-Naffouri and A. A. Quadeer and G. Caire, "Impulse Noise Estimation and Removal for OFDM Systems", IEEE Transactions on Communications. vol. 62 , pp. 976-989, Mar 2014 Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is a modulation scheme that is widely used in wired and wireless communication systems. While OFDM is ideally suited to deal with frequency selective channels and AWGN, its performance may be dramatically impacted by the presence of impulse noise. In fact, very strong noise impulses in the time domain might result in the erasure of whole OFDM blocks of symbols

Mobility-Aware User Association in Uplink Cellular Networks

1 min read ·
R. Arshad and H. Elsawy and S. Sorour and M. S. Alouini and T. Y. Al-Naffouri, "Mobility-Aware User Association in Uplink Cellular Networks", IEEE Communications Letters. vol. 21 , pp. 2452-2455, Nov 2017. Abstract: This letter studies the mobility aware user-to-base station (BS) association policies, within a stochastic geometry framework, in two-tier uplink cellular networks with fractional channel inversion power control. Particularly, we model the BSs’ locations using the widely accepted Poisson point process and obtain the coverage probability and handover cost expressions for the coupled

SNR Estimation in Linear Systems With Gaussian Matrices

1 min read ·
M. A. Suliman and A. M. Alrashdi and T. Ballal and T. Y. Al-Naffouri, "SNR Estimation in Linear Systems With Gaussian Matrices", IEEE Signal Processing Letters. vol. 24 , pp. 1867-1871, Dec 2017. Abstract: This letter proposes a highly accurate algorithm to estimate the signal-to-noise ratio (SNR) for a linear system from a single realization of the received signal. We assume that the linear system has a Gaussian matrix with one sided left correlation. The unknown entries of the signal and the noise are assumed to be independent and identically distributed with zero mean and can be drawn from

Transient analysis of data-normalized adaptive filters

1 min read ·
T. Y. Al-Naffouri and A. H. Sayed, "Transient analysis of data-normalized adaptive filters", IEEE Transactions on Signal Processing. vol. 51 , pp. 639-652, Mar 2003. Abstract: This paper develops an approach to the transient analysis of adaptive filters with data normalization. Among other results, the derivation characterizes the transient behavior of such filters in terms of a linear time-invariant state-space model. The stability, of the model then translates into the mean-square stability of the adaptive filters. Likewise, the steady-state operation of the model provides information about
<> Linux (7)

Security analysis of Docker-based containerized environments

Operating System (OS) virtualization, also known as container-based virtualization, has gained momentum over the past few years thanks to its lightweight nature and support for agility. However, its compelling features come at the price of a reduced isolation level compared to the traditional host-based virtualization techniques, exposing workloads to various faults, such as container escape. Those faults might be manifested as host OS bugs, container runtime vulnerabilities, and/or poor container deployment choices and profile configuration. The latter aspect is particularly critical as

Monitoring containerized environments for security state error detection

Operating System (OS) virtualization, also known as container-based virtualization, has gained momentum over the past few years thanks to its lightweight nature and support for agility. However, its compelling features come at the price of a reduced isolation level compared to the traditional host-based virtualization techniques, exposing workloads to various threats, such as container escape. In those threats, compromised or rogue containers might exploit existing vulnerabilities or poor container deployment choices to successfully inject security state errors (e.g., breaking out of the

Nour Abouelnadar

Nour Abouelnadar is the ECRC's system administrator. She is in charge of maintaining ECRC servers and helping scholars with their source code projects, which are mainly hosted on ECRC GitHub. Education Profile Master's Degree in Computer Engineering, Arab Academy for Science and Technology Bachelor's Degree in Software Engineering, Cardiff Metropolitan University Bachelor's Degree in Computer Engineering, Arab Academy for Science and Technology

Martins Bruvelis

Senior Information Technology Specialist, Computer, Electrical and Mathematical Sciences and Engineering
Martins is a Tier 3 IT Specialist with a background in quantum engineering and data science. He leverages analytical, multidisciplinary, and data-driven approaches to drive innovation and efficiency within the IT infrastructure. He excels at full-stack development, identifying complex problems' root causes and developing impactful long-term solutions within a broad area of competence.

Junshu Jiang

Ph.D. Student, Statistics

Eduardo Gonzalez Fisher

Eduardo Gonzalez is ECRC's system administrator. He is in charge of maintaining ECRC servers and help scholars with their source code projects, which are mainly hosted in ECRC GitHub Education Profile Electronic Engineer, Universidad Tecnica Federico Santa Maria (UTFSM), Chile.

Ali Charara

Ali Charara obtained both, his MS Degree and PhD Degree from Computer Science at KAUST in 2011 and 2018 respectively. His master thesis supervisor was Alyn Rockwood and his PhD thesis supervisor was David Keyes. Ali's research interests were in High Performance Computing with a focus on parallel computing and algorithms using multicore and manycore Computer Graphics Units. Education Profile MS Degree, Computer Science, KAUST (2011) PhD Degree, Computer Science, KAUST (2018)
<> magnetic sensors (7)

Advanced MTJ Sensory Devices for Industrial and Healthcare Applications

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B3 L5 R5209

Magnetic sensors are deployed in many applications such as automotive, consumer electronics, navigation and data storage devices. Their market’s growth is driven by demands of higher performance and more integration; primarily to assist in the advancement of Internet of Things (IoT) and smart systems.

Flash Microfluidics, rapid Lab on a Chip fabrication method for cost- effective in situ production.

2 min read ·
From DNA sequencing to environment monitoring, microfluidics devices have been broadly employed, but their production is more and more time-consuming and expensive. Researchers from the King Abdullah University of Science and Technology (KAUST), Saudi Arabia, have developed an innovative prototyping method for Lab on a Chip (LOC) production to plummet costs while augmenting performances.

CEMSE Student Altynay Kaidarova appointed member of the Next Generation Magneticans Advisory Board

1 min read ·
Altynay Kaidarova, a CEMSE Master student in the Electrical Engineering Program, under the supervision of Prof. Jurgen Kosel, has recently been elected as a member of the Next Generation Magneticans Advisory Board.

CEMSE Master Student Mayyada Hawsawi brings KAUST research to Falling Walls 2017

1 min read ·
Mayyada Hawsawi, master student in the Sensing, Magnetism, and Microsystems Research Group, directed by Professor Jurgen Kosel, brought a piece of KAUST's research to the Falling Walls Global Lab Finale on November 8th 2017, in Berlin, Germany.

2022 SPE Annual Technical Conference and Exhibition

3 min read ·
Moutazbellah Khater and Tarek Mostafa participated in SPE Annual Technical Conference and Exhibition (ATCE) from 3-5 October 2022 in Houston, Texas. This flagship event is the highest caliber technical event for E&P professionals from around the globe. It was a great opportunity for Moutazbellah & Tarek to present their latest research papers where they pushed the limits of well-integrity and pipelines inspection to a new level. Moutazbellah presented his paper entitled “Remote Field Eddy Current System Using Three Axis Fluxgate Magnetometer for Corrosion Inspection” while Tarek presented two

Yousof A. Mashraei

Yousof Mashraei received the M.S. degree from King Abdullah University of Science and Technology (KAUST) in 2014. He joined King Abdulaziz City for Science and Technology and was involved in smart grid and renewable energy since 2012. He joined KAUST as a PhD student in 2014 and specialized in microfabrication and sensors. His research focus on magnetic sensors, integration and hybrid system for health and industrial applications.

Mayyada Hawsawi

​Mayyada Hawsawi obtained a Master's degree in Sensing, Magnetism and Microsystems (SMM) research group under the supervision of Prof. Jurgen Kosel at KAUST. Education and Early Career Mayyada has a Bachelor’s Degree in Biomedical Engineering from Boston University in 2016. She received her Master's Degree in Electrical Engineering from King Abdullah University of Science and Technology (KAUST) in 2017. Research Interest Mayyada's research interests include Magnetic sensors, Sensor fabrication, and Biomedicine. Education Profile M.Sc. Electrical Engineering, King Abdullah University of Science
<> Massive MIMO (7)

Asymptotic Analysis of Precoding in Large-Scale Multi-User Systems

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B1 L3 R3119

This thesis develops and applies novel Gaussian Min-Max Theorems to provide a precise asymptotic performance analysis of complex precoders in massive MIMO systems, successfully characterizing system behavior in previously intractable scenarios involving non-linear post-processing operations.
kaust-cemse-ece-ccsl-khalid-kanaan.jpg

Khalid Kanaan

Yinghao Liu

Yinghao Liu was a CTL lab member and graduated from KAUST. Education ​B.S. Major in Automation in the School of Information Science and Technology, Minor in Communication in the Department of Science and Technology Communication, University of Science and Technology of China (USTC), China, (September 2012 - June 2016).

Xiuxiu Ma

Mudassir Masood

Ph.D. degree in electrical engineering from the King Abdullah University of Science and Technology (KAUST). ,Assistant Professor, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.

Mohamed Amine Arfaoui

Mohamed Amine Arfaoui was a Visiting B.S. Student in CTL. Then, he joined Texas A&M University in Qatar as a Research Assistant. Education ​Diplome d’Ingenieur, Ecole Polytechnique de Tunisie (EPT), Tunis, Tunisia (Sep. 2012 - Jun. 2015). Education Profile ​Diplome d’Ingenieur, Ecole Polytechnique de Tunisie (EPT), Tunis, Tunisia (Sep. 2012 - Jun. 2015).

Alam Zaib

Research Intern at King Abdullah University of Science and Technology (KAUST) ,Assistant Professor / COMSATS institute of information technology, Abbottabad.
<> microelectronics (7)

Saudi research institutes achieve record-breaking performance in data security

1 min read ·
A new quantum random number generator is almost 1000 times faster than other generators and much smaller, promising to change data management and cybersecurity in several industries including health, finance and defense

Ankit Udai

Visiting Researcher at King Abdullah University of Science and Technology (KAUST)

Implantable and Wearable Microelectronic Devices to Improve Quality of Life for People with Disabilities

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B3 L5 R5209

Implantable medical devices (IMD) and neuroprostheses are finding applications in new therapies thanks to advancements in microelectronics, sensors, RF communications, and medicine, which have resulted in embedding more functions in IMDs that occupy smaller spaces down to millimeters and consume less power, while offering therapies for more complex diseases and disabilities. I will address the latest developments in key building blocks for state-of-the-art IMDs.

Meet KAUST prospective student: Carlos Augusto Zan Malaguti

3 min read ·
Carlos Augusto Zan Malaguti, 23, from Brazil, obtained his bachelor’s degree in electronics and telecommunications engineering from Sao Paulo State University (UNESP). Carlos will join KAUST in the fall of 2020 as an M.S./Ph.D. candidate in the KAUST Sensors Lab under the supervision of Professor Khaled Nabil Salama.

KAUST ECE alumnus wins Design Automation Conference Under-40 Innovators Award

2 min read ·
Former KAUST Sensors Lab researcher Hesham Omran (Ph.D. ’15) has been named as one of the four winners of the Design Automation Conference (DAC) 2022 Under-40 Innovators Award. The award recognizes the top young innovators who have made a significant impact in the field of design and automation of electronics.

Carlos Augusto Zan Malaguti

Carlos Augusto Zan Malaguti is an M.S./Ph.D. candidate in the KAUST Sensors Lab under the supervision of Professor Khaled Nabil Salama. Education and Early Career Carlos received his bachelor’s degree in Electronics and Telecommunications Engineering from Sao Paulo State University (UNESP), Brazil, in 2020. During his undergrad, Carlos’ work focused on performance research through electrical characterization of 0.13 um SOI MOSFET devices. In the Summer/Fall of 2019, Carlos was a Visiting Student at KAUST, under the supervision of Professor Muhammad M. Hussain. He worked on nanofabrication

Alice Faisal

Visiting Student (former), Electrical and Computer Engineering
Visiting Student at King Abdullah University of Science and Technology (KAUST), chair of IEEE women in engineering affinity group at Effat University student branch.
<> MOFs (7)

Insights on capacitive interdigitated electrodes coated with MOF thin films: Humidity and VOCs sensing as a case study

1 min read ·
Christos Sapsanis, et al., "Insights on capacitive interdigitated electrodes coated with MOF thin films: Humidity and VOCs sensing as a case study." Sensors 15 (8), 2015, 18153. A prototypical metal-organic framework (MOF), a 2D periodic porous structure based on the assembly of copper ions and benzene dicarboxylate (bdc) ligands (Cu (bdc)· xH 2 O), was grown successfully as a thin film on interdigitated electrodes (IDEs). IDEs have been used for achieving planar CMOS-compatible low-cost capacitive sensing structures for the detection of humidity and volatile organic compounds (VOCs)

H2S Sensors: Fumarate‐Based fcu‐MOF Thin Film Grown on a Capacitive Interdigitated Electrode

1 min read ·
Omar Yassine, et al., " H2S Sensors: Fumarate‐Based fcu‐MOF Thin Film Grown on a Capacitive Interdigitated Electrode". Angewandte Chemie International Edition, 55 (51), 2016, 15879. Herein we report the fabrication of an advanced sensor for the detection of hydrogen sulfide (H2S) at room temperature, using thin films of rare‐earth metal (RE)‐based metal–organic framework (MOF) with underlying fcu topology. This unique MOF‐based sensor is made via the in situ growth of fumarate‐based fcu‐MOF (fum‐fcu‐MOF) thin film on a capacitive interdigitated electrode. The sensor showed a remarkable

MOFs for the sensitive detection of ammonia: Deployment of fcu-MOF thin films as effective chemical capacitive sensors

1 min read ·
Ayalew H. Assen, et al., " MOFs for the sensitive detection of ammonia: Deployment of fcu-MOF thin films as effective chemical capacitive sensors". ACS sensors, 2(9), 2017, 1294. This work reports on the fabrication and deployment of a select metal–organic framework (MOF) thin film as an advanced chemical capacitive sensor for the sensing/detection of ammonia (NH3) at room temperature. Namely, the MOF thin film sensing layer consists of a rare-earth (RE) MOF (RE-fcu-MOF) deposited on a capacitive interdigitated electrode (IDE). Purposely, the chemically stable naphthalene-based RE-fcu-MOF (NDC

The quest for highly sensitive QCM humidity sensors: The coating of CNT/MOF composite sensing films as case study

1 min read ·
Karumbaiah N. Chappanda, et al., "The quest for highly sensitive QCM humidity sensors: The coating of CNT/MOF composite sensing films as case study". Sensors and Actuators B: Chemical, 257, 2018, 609. The application of metal-organic frameworks (MOFs) as a sensing layer has been attracting great interest over the last decade, due to their uniform properties in terms of high porosity and tunability, which provides a large surface area and/or centers for trapping/binding a targeted analyte. Here we report the fabrication of a highly sensitive humidity sensor that is based on composite thin films

Lining MOF pockets to detect noxious gases

1 min read ·
A porous material with tailor-made pockets stitched into its structure is a promising material for sensing noxious gases. A thin film of the material, coated onto an electrode, formed an electronic sensor that could detect traces of sulfur dioxide gas. The sensor is a significant step toward real-world devices that can sniff out dangerous gases in real air. Although several lab-based analytical instruments can detect traces of a specific gas in the air, these instruments are typically large, expensive, power-hungry machines. There is still a need for small, inexpensive, energy-efficient

MOFs can sense and sort troublesome gases

1 min read ·
Fluorinated metal-organic frameworks make excellent materials for selective sensing and removal of toxic gases.

Realization of an Ultrasensitive and Highly Selective OFET NO2 Sensor: The Synergistic Combination of PDVT-10 Polymer and Porphyrin–MOF

1 min read ·
Saravanan Yuvaraja, et al., "Realization of an Ultrasensitive and Highly Selective OFET NO2 Sensor: The Synergistic Combination of PDVT-10 Polymer and Porphyrin–MOF." ACS Applied Materials & Interfaces 12 (16), 2020, 18748. Organic field-effect transistors (OFETs) are emerging as competitive candidates for gas sensing applications due to the ease of their fabrication process combined with the ability to readily fine-tune the properties of organic semiconductors. Nevertheless, some key challenges remain to be addressed, such as material degradation, low sensitivity, and poor selectivity toward
<> nlp (7)

Reem Alzahrani

Ph.D. Student
Reem Alzahrani is an MS/PhD student at KAUST, working on Large Language Models and Vision-Language Models. Her research focuses on identifying and addressing the limitations of AI systems to improve their robustness and reliability.

Yimeng Chen

Postdoctoral Research Fellow, Computer Science
Yimeng Chen is a Postdoctoral Researcher in Prof. Jürgen Schmidhuber's research group at King Abdullah University of Science and Technology (KAUST).

Bridging the Gap between the Academia and Industry by Extending High-Quality Research to Practical Business Needs

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B9 L2 R2322 H1

This seminar focuses on providing the audience with the context and scope of our internship program. The program is for the young and talented graduate students with an active interest in solving real-world problems. Some of the projects that will be presented in the seminar are actively developed in Elm and include domains such as computer vision, robotics and automation, healthcare, IoT, video analytics, and NLP. The seminar will serve as a launch pad to allow students to discuss their future interests and aspirations with the speaker. It will also enable them to develop a better awareness of domains more relevant to their future research aspirations.

A Brief Overview of Arabic NLP

Prof. Sakhar B. Alkhereyf

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B5 L5 R5209

Arabic, being one of the six official languages of the United Nations and the sixth most commonly spoken language across the globe, holds a significant stance in the linguistic landscape. The diglossic nature of Arabic, where Classical Arabic (CA), Modern Standard Arabic (MSA), and various dialects coexist, coupled with its complex morphological structure, presents a unique set of challenges and opportunities for the domain of Natural Language Processing (NLP).

The Prospect of Generative Language Processing

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B9 L2 H2 H2

In the evolving landscape of artificial intelligence, generative models are revolutionizing our interface with computational systems and reshaping societal paradigms. For example, foundation models have the potential to transform content creation across languages, offering discovery and productivity pathways for humans to engage with one another and their environment. This talk sketches the core methodologies propelling this groundbreaking progress, charting a grand vision for generative natural language processing.

Improving Interpretation Faithfulness for Transformers

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B9 L2 H2 H2

Currently, attention mechanism becomes a standard fixture in most state-of-the-art NLP, Vision and GNN models, not only due to outstanding performance it could gain, but also due to plausible innate explanation for the behaviors of neural architectures it provides, which is notoriously difficult to analyze. However, recent studies show that attention is unstable against randomness and perturbations during training or testing, such as random seeds and slight perturbation of input or embedding vectors, which impedes it from becoming a faithful explanation tool. Thus, a natural question is whether we can find some substitute of the current attention which is more stable and could keep the most important characteristics on explanation and prediction of attention.

Ricardo Manuel Pinto de Lima

My mission is to develop computational models and methods based on mathematical optimization and data science for sustainable energy and chemical processes. I am deeply committed to decarbonization, climate change mitigation, and optimal operations management.
<> Numerical Optimization (7)

Model Predictive Control and Imitation Learning Algorithms for Robot Motion Planning in Physical Human-Robot Interaction

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B9 R2325

This seminar presents a framework for safe and efficient human-robot workspace sharing by using Deep Neural Networks (DNN) and safety filters to rapidly imitate computationally heavy Nonlinear Model Predictive Control method (NMPC), with successful experimental validation on a UR5 manipulator.

Almost everything you always wanted to know about NONLINEAR STATE SPACE MODELS (but were afraid to ask)

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B1 L4 R4102

Ever wonder why, when you fly to Jeddah you don't end up in Riyadh? The tracking devices use a nonlinear state space model to make sure your plane is on course. While inference for the linear Gaussian model is fairly simple, inference for nonlinear models can be difficult and often relies on derivative free numerical optimization techniques. A promising method that I will discuss is based on particle approximations of the conditional distribution of the hidden process given the data. This distribution is needed for both classical inference (e.g., Monte Carlo EM type algorithms) and Bayesian inference (e.g., Gibbs sampler).

Rolf Krause

Professor Rolf Krause is an experienced researcher and educator specializing in designing and analyzing algorithms to solve complex problems in scientific computing and machine learning.

Renzo Caballero

Education 2022.05.24 Ph.D. Research Proposal: "Theory and Dynamics of Self-Repair Systems" Committee Members: Prof. Eric Feron, Prof. Shinkyu Park, Prof. Diogo Gomez, Prof. David Keyes, Prof. Taous-Meriem Laleg 2019.06 - 2023.12 Ph.D. in Applied Mathematics and Computational Sciences, KAUST, KSA 2017.08 - 2019.06 M.Sc. in Applied Mathematics and Computational Sciences, KAUST, KSA ​2010.02 - 2016.06 B.Sc. in Electrical Engineering, Universidad de la Republica, Montevideo, Uruguay Professional Profile 2021.08 - 2021.12 Teaching Assistant, CEMSE, KAUST, KSA 2017.01 - 2017.04 Models Analyst, UTE

Muxingzi Li

Muxingzi Li was a master student in the Computational Imaging Group (VCCIMAGING) under the supervision of Professor Wolfgang Heidrich at King Abdullah University of Science and Technology (KAUST). Education and Early Career Muxingzi Li grew up in Wenzhou, China, a city famed for its entrepreneurs and the most difficult dialect in the country. She received the bachelor degree in Mathematics from Oxford University in 2015 and joined the Visual Computing Center, King Abdullah University of Science and Technology (KAUST) as a MS/PhD student in Applied Mathematics and Computational Science. She
KAUST-CEMSE-Matteo-Parsani

Matteo Parsani

Professor Parsani develops robust, variable order and self-adaptive algorithms for solving fluid flow problems in complex geometries. The application domains currently driving Parsani's research are compressible computational aerodynamics, computational aeroacoustics for noise reduction in vehicles and molecular communication.

Jinhui Xiong

Ph.D. Student, Computer Science
Jinhui Xiong is a Ph. D. candidate in the Computational Imaging Group (VCCIMAGING) under the supervision of Professor Wolfgang Heidrich at King Abdullah University of Science and Technology (KAUST). Education and Early Career Jinhui Xiong obtained his bachelor degree in Electronic Engineering from City University of Hong Kong (CityU) in Hong Kong in 2015. Then, he joined KAUST and received his masters in Computer Science in 2017. During his bachelor study, he spent two years on CUDA programming for various projects in Dr. Jun Fan’s lab. In 2014, he worked as an assistant researcher at EMC
<> numerical simulations (7)

Direct numerical simulation of bi-disperse particle-laden gravity currents in the channel configuration

1 min read ·
​We present a numerical investigation of bi-disperse particle-laden gravity currents in the lock-exchange configuration. Previous results, based on numerical simulation and laboratory experiments, are used to establish comparisons.

Dominik L. Michels receives the first Procter & Gamble Faculty Award

1 min read ·
Dominik L. Michels, Computer Science and Mathematics faculty in the Computer, Electrical and Mathematical Science and Engineering Division (CEMSE) and head of the Computational Sciences Group within the Visual Computing Center (VCC), recently received the first Procter & Gamble (P&G) Faculty Award.

Dominik L. Michels appointed Associate Professor of Computer Science and Applied Mathematics

2 min read ·
KAUST faculty member Dominik L. Michels has recently been promoted to associate professor of computer science and applied mathematics.

Juris Grigs

Ph.D. Student, Computer Science
Juris Grigs is a Computer Science Ph.D. student in the KAUST High-Performance Visualization Group (VCCVis) under the supervision of Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career Juris obtained his bachelor's degree in ​Physics from the University of Latvia in 2017. He joined KAUST as an Electrical Engineering student with the Integrated Microwaves Packaging Antennas & Circuit Technology (IMPACT) Research Group. Now,he is a Ph.D. student in the VCCVis Research Group. Research Interests Juris's research interests include ​data

George Turkiyyah

Professor Turkiyyah's expertise lies in high-performance and GPU computing, numerical simulation and optimization and their application to machine learning and large-scale modeling.

Dominik L. Michels

Associate Professor, Computer Science
Professor Michels is a leading computer scientist who proactively designs strategies to face upcoming digitization challenges. His outstanding research has been recognized by the scientific community within and beyond KAUST.

Dmitry Logashenko

Research Scientist, Modelling and Simulation
Research Interests Dr. Logashenko is working in the field of the numerical simulation of physical processes. His interests concern development, analysis and implementation of efficient methods for treating the (integro-) partial differential equations on parallel architectures. Main fields of the applications are groundwater flows in fractured porous media and CFD. He also collaborates in the ug4 toolbox project as a developer. Professional Memberships Research scientist at the Computer, Electrical and Mathematical Sciences and Engineering Division of the King Abdullah University of Science
<> Optical wireless communications (7)

Professor Mohamed-Slim Alouini named a Fellow of SPIE and a Distinguished Lecturer of the IEEE Photonics Society

4 min read ·
Professor Mohamed-Slim Alouini earns SPIE Fellow and IEEE Distinguished Lecturer titles, highlighting his influential contributions to optical wireless communications.

Post-doctoral research fellow Dr. Abderrahmen Trichili participation in the 69th Lindau Nobel Laureate Meeting (#LINO19)

2 min read ·
Meeting Nobel laureates The 2019 event provided an opportunity for science's next generation to interact with 39 Nobel laureates, including Donna Strickland and Gérard Mourou, 2018 laureates in physics. Among the 580 young scientists from 89 countries in attendance were four young researchers from the University: postdoctoral fellow Abderrahmen Trichili; KAUST Ph.D. graduate Ibrahim Dursun; and students Abdullah Almansouri (Ph.D. student) and Latifah Al Maghrabi (M.S. student). Participants took part in lectures, forum-style talks, science walks, dinner events and open exchanges. The

Meet KAUST prospective student: Yingquan Li

2 min read ·
Yingquan Li, 21, is an electrical engineering graduate who will join KAUST in the fall of 2020. He will join KAUST as a M.S./Ph.D. candidate in the KAUST Communication Theory Lab under the supervision of Professor Mohamed-Slim Alouini. An initial reference from a supervisor spurred his interest in joining KAUST, which resulted in a visiting student opportunity at KAUST. During his internship, Li was amazed by the facilities and research standard found on campus. It was this combination of impressive factors that inspired him to continue his academic career at the University.

Outstanding KAUST research acknowledged by leading photonics journal

2 min read ·
KAUST professors Boon Ooi and Osman Bakr and their respective research groups have recently had their collaborative research recognized by one of the major journals for optics and photonics, Light: Science & Applications (LSA). The teams’ paper— titled "High-speed color-converting photodetector with all-inorganic CsPbBr3 perovskite nanocrystals for ultraviolet light communication—" was awarded as an “Outstanding Paper of Light: Science & Applications in 2020.”

Rui Chen

Visiting Student, Photonics Laboratory
Rui Chen was a ​Visiting Student at the Communication Theory Lab (CTL) and Photonics Laboratory at King Abdullah University of Science and Technology (KAUST) from the University of Cambridge. Currently, he is a Ph.D. student at the University of Cambridge, UK. Education Profile M.S. in Electronic and Electrical Engineering, University Of Glasgow, UK (September 2015 – September 2016). B.Eng. in Electronic Engineering, University Of Electronic Science And Technology Of China, Chengdu, Sichuan, China (September 2011 - Ju1y 2015). Selected Publications Gao, D., Pan, L., Liu, R., Chen, R., & Xie, M

Ming-Cheng Tsai

Ph.D. Degree in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini at King Abdullah University of Science and Technology (KAUST).

Mehdi Amhoud

Postdoctoral Research Fellow, Electrical and Computer Engineering
Mehdi Amhoud is a Postdoctoral Research Fellow at the Communication Theory Lab, King Abdullah University of Science and Technology (KAUST), working with Professor Slim Alouini. Education and Early Career Mehdi received the Ph.D. degree in communications & electronic from Télécom ParisTech, Paris, France, in 2017. He is currently a Postdoctoral Fellow with the division of Computer, Electrical and Mathematical Sciences & Engineering at KAUST University, Thuwal, Saudi Arabia. His current domain of research includes modeling and performance analysis of MIMO free space optical systems. Scientific
<> optoelectronic devices (7)

From Edge to Intelligence: Light-Driven Synaptic Devices for Adaptive Healthcare and Vision Systems

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B9 L2 R2325

This talk presents a flexible, back-end-of-line compatible optoelectronic synapse developed for neuromorphic edge computing.

Phys.org features "Improved nanoscale patterning using aniodine or xenon difluoride gas"

1 min read ·
"A technique developed by scientists at KAUST has made more controlled fabrication of optoelectronic devices produced from a hybrid of organic and inorganic materials possible."

Meet KAUST prospective student: Vishal Khandelwal

1 min read ·
Vishal Khandelwal is a physics graduate from India. He obtained his master’s degree from the Indian Institute of Technology, Jodhpur, and his bachelor’s degree from the University of Delhi, India. Vishal will join KAUST in the fall of 2020 as a Ph.D. candidate and member of the Advanced Semiconductor Laboratory under the supervision of Professor Xiaohang Li.

Jung-Hong Min

Postdoctoral Research Fellow, Photonics Laboratory
Research Interests: Electromagnetics and optoelectronics, Nanomaterials, GaN, Optoelectronics, Molecular Beam Epitaxy, Large bandgap group-III nitride

Hosne Mobarok Shamim

Visiting Student, Photonics Laboratory
Hosne Mobarok Shamim was a visiting student at Photonics Lab, KAUST as a part of the KAUST-KFUPM Initiative (KKI) program. He obtained a Master's degree in Electrical Engineering from King Fahd University of Petroleum and Minerals (KFUPM). He has a Bachelor's degree in Electrical and Electronic Engineering from the Islamic University of Technology (IUT), Bangladesh (2013). He has two years of experience as a lecturer at Bangladesh University of Business and Technology, Bangladesh and Atish Dipankar University of Science and Technology, Bangladesh. Research Interests Hosne's research interests

Giuseppe Bernardo Consiglio

Visiting Student, Photonics Laboratory
Giuseppe Bernardo Consiglio is a Master's Student at the Polytechnic University of Milan that joined the Photonics Laboratory as a visiting student for his thesis project. He received the B.Sc. degree in Physics Engineering from the Polytechnic University of Milan in 2013 with the thesis about contact resistance in graphene channel based devices. Research Interests Giuseppe's research interests included Optoelectronics devices. Education Profile Master of Science in Physics Engineering at Politecnico of Milano, 2013 – Present. Bachelor's degree in Physics Engineering at Politecnico of Milano

Dayanand Kumar

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dayanand Kumar is a Postdoctoral Research Fellow focusing his research on smart multifunctional optoelectronic synaptic devices.
<> parallel algorithms (7)

ECRC brings astronomy back home

4 min read ·
Astronomy research excellence is coming back home to the Middle East, where it took its first steps around 1200 BC. Custome new software developed by the KAUST Extreme Computing Research Center (ECRC) was released at the end of 2017. Named MOAO - Multiple Object Adaptive Optics – the software will contribute to the activities of the world's largest future optical telescope to be deployed in Chile in 2024.

Xuefeng Cui

Postdoctoral Research Fellow, Structural and Functional Bioinformatics
Xuefeng Cui worked as a Postdoctoral research fellow at Prof. Xin Gao's Structural and Functional Bioinformatics Group (SFB) at King Abdullah University of Science and Technology (KAUST) during 2014-2016. Currently, Xuefenga is a Professor at Shandong University, China. Education Profile Ph.D. degree, University of Waterloo, Canada, Jan 2007 - April 2014 (except May-Aug, 2012 and May-Aug, 2013). Master's degree, University of Waterloo, Canada, Sep 2004 - Dec 2006. Bachelor's degree, University of Waterloo, Canada, Sep 2000 - Apr 2004. Columbia International College, Canada, Sep 1999 - Aug 2000
Sameh Abdulah

Sameh Abdulah

Dr. Sameh Abdulah specializes in HPC, scalable algorithms, and climate modeling, with innovations receiving the ACM Gordon Bell Prize for Climate Modelling.

Li Luo

Research Interest Li Luo's research interest include Scalable Parallel Algorithms, Computational Fluid Dynamics (CFD). Why KAUST? Discuss with the top class faculty, work with the world-class equipment, and enjoy the most diversified culture on the planet. Why did you choose your field of research? Simulation of large flow problems is computationally demanding, such as the two-phase flow and the blood flow in realistic cases. The use of supercomputers and highly scalable parallel algorithms is necessary. Research projects P2Pflow: a Parallel two-Phase flow solver P2Pflow is a parallel finite

Long Qu

Dr. Long Qu is a Research Scientist at the Extreme Computing Research Center at KAUST, working with Prof. David E. Keyes and Dr. Hatem Ltaief. Research Interests Long Qu's research interests include seismic imaging and high performance computing on heterogeneous hardware architectures.

Kadir Akbudak

Dr. Kadir Akbudak is a Consultant at Extreme Computing Research Center at KAUST, working with Professor David E. Keyes and Dr. Hatem Ltaief. Research Interests Kadir Akbudak's research interests include Combinatorial scientific computing, Graph and hypergraph partitioning, Locality-aware partitioning and scheduling, High performance kernels for sparse computations, Vectorization for irregular applications, Iterative numerical methods and Parallel numerical algorithms. Education Profile Ph.D., Computer Engineering, Bilkent University, 2015. M.S., Computer Engineering, Bilkent University, 2009

Amani Alonazi

Amani Alonazi is a Visiting Researcher in the Image and Viedo Understanding Lab (IVUL) Research Group working with Professor Bernard Ghanem. Previously, she was a Ph.D. candidate in Computer Science at CEMSE, KAUST, and a member of KAUST's Extreme Computing Research Center, ACM, and SIAM. Areas of expertise and current scientific interests Amani's research focuses on developing novel asynchronous task-based algorithms of solvers in scientific simulations. The core of her work lies within the domain of high-performance computing, which combines performance optimizations, modeling, and
<> privacy (7)

Security, Privacy, and Human

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B4 L5 R5209

Security and privacy systems are often composed of complex components and details. However, users’ experience shouldn’t be as complex. In this seminar, Eman will discuss the human factor in the security and privacy chain. While human privacy perceptions and behaviors have been investigated in Western societies, little is known about these issues in non-Western societies.

Safeguarding the right to be forgotten

2 min read ·
An open-source software can help align artificial intelligence applications in healthcare with data privacy regulations.

Zihang Xiang

Ph.D. Student, Computer Science
My current research is on privacy-preserving data analysis. I am interested in pushing the boundaries of differential privacy via principled approaches in broad machine learning applications.

Yulian Wu

Ph.D. Student, Computer Science
Yulian Wu is a Ph.D. candidate under the supervision of Professor Francesco Orabona at King Abdullah University of Science and Technology (KAUST).

Xiaojie Zhu

Xiaojie Zhu is a staff research scientist at KAUST. Prior to that, he was an assistant professor of cybersecurity in the Department of Computer Science and Information Technology, College of Engineering, Abu Dhabi University. He received his Ph.D. from the Department of Computer Science, University of Oslo, Norway. Xiaojie's research interests are data security and privacy, software security, decentralized trust and infrastructure, and applied cryptography. He has published in prestigious journals such as IEEE TDSC, IEEE TPDS, JNCA, and JOS. One of his articles was included in the 21st annual

Lijie Hu

Ph.D. Student, Computer Science

Di Wang

Assistant Professor, Computer Science
Professor Wang's research addresses issues and societal concerns arising from machine learning, particularly in the areas of privacy, security, safety, fairness, robustness, interpretability and transparency. He aims to develop provable and practical algorithms to address trustworthiness issues in machine learning.
<> Reconfigurable Intelligent Surfaces (7)
KAUST-ECE-Graduate-Seminar-Atif-Shamim-Enabling-Next-Generation-Wireless-Communication-through-mm-Wave-Reconfigurable-Intelligent-Surface-(RIS)

Enabling Next Generation Wireless Communication through mm-Wave Reconfigurable Intelligent Surface (RIS)

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B9, L2, R2325

The mm-wave 5G and beyond communication systems significantly improve the data rate, user capacity, and latency, however, the electromagnetic (EM) wave propagation suffers from high atmospheric attenuation as compared to the sub-6 GHz bands. Therefore, the quality of wireless communication gets severely affected in an environment where multiple obstacles, such as buildings and trees, are present, and thus, communication coverage is typically limited to line of sight (LOS).
Ahmad Dkhan

Ahmad Dkhan

Visiting Scholar (former), Information Science Lab
Visiting Student, King Abdullah University of Science and Technology Present -Master's in Electrical and Computer Engineering, American University of Beirut, Lebanon

Reconfigurable Intelligent Surface for Next-Generation Networks

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B1 L3 R3123

Reconfigurable intelligent surfaces (RISs) are now considered among the key enabling technologies for 6G systems. Empowered by the recent advances in meta-material, RISs are equipped with a large number of low-cost passive elements that allow for the modification of the radio waves in that they reflect, refract, and scatter radio signals in a controllable fashion to counteract the destructive effect of multipath fading. These features can be leveraged to transform the propagation environment into a smart space that can be programmable for the benefit of the communication application. Throughout this proposal, we study RIS-assisted systems from different perspectives, including performance analysis, system optimization, and channel estimation, to analyze and enhance the operation of such systems in different setups. Some possible future research directions to be considered are also highlighted.

Yiming Yang

Yiming Yang is a Ph.D. candidate at the KAUST Integrated Microwaves Packaging Antennas and Circuits Technology Research Group under the supervision of Professor Atif Shamim. His research interests include frequency selective surfaces, reconfigurable intelligent surfaces, and meta-surfaces in combination with additive manufacturing, time modulation, and other fabrication and reconfiguration methods.

Sultangali Arzykulov

Assistant Professor, Nazarbayev University
Sultangali Arzykulov(Member, IEEE) received the B.Sc. degree (Hons.) in radio engineering, electronics and telecommunications from Kazakh National Research Technical University after K. I. Satpayev, Almaty, Kazakhstan, in June 2010, the M.Sc. degree in communication engineering from The University of Manchester, Manchester, U.K., in 2013, and the Ph.D. degree in science, engineering and technology from Nazarbayev University, Nur-Sultan, Kazakhstan, in 2019. He is currently a Postdoctoral Scholar with the Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah

Fadil Habibi Danufane

Postdoctoral Research Fellow, Electrical and Computer Engineering
Fadil Habibi Danufane is a Postdoctoral Fellow at the Communication Theory Lab (CTL) of King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Mohamed-Slim Alouini. Education and Early Career Fadil Habibi Danufane received his B.Sc. degree in electrical engineering from Bandung Institute of Technology (ITB), Indonesia, in 2013, and his M.Sc. degree in computational science from Kanazawa University, Japan, in 2017. In 2021, he obtained his Ph.D. degree in telecommunications with the Laboratory of Signals and Systems in CentraleSupélec, Paris-Saclay

Ahmed Mohammed Magbool

M.Sc. Degree in Electrical Engineering, King Abdullah University of Science and Technology (KAUST)
<> Satellite Communications (7)

CEMSE New Faculty: Abdulrahman Alhamed, assistant professor of electrical and computer engineering

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CEMSE Professor Abdulrahman Alhamed’s research path was formed by a deep recognition of the pivotal role integrated circuits play in shaping the modern world. “While there was no single 'eureka' moment, my progression into academia was deliberate and purpose-driven,” he noted. “I was fortunate to have mentors who challenged me early on and environments that cultivated intellectual rigor.” Dr. Alhamed is an assistant professor of electrical and computer engineering, specializing in RF integrated circuits and systems. His research spans transceivers, phased arrays, radar systems and creating

Launch of new Nature Portfolio Jounal 'npj Wireless Technology': Shaping the future of wireless tech

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Join us in shaping the future of wireless technology!

Abdulrahman Alhamed

Dr. Abdulrahman Alhamed is an assistant professor of Electrical and Computer Engineering at KAUST, specializing in RF integrated circuits and systems. His research focuses on advancing wireless technologies for telecommunications and sensing applications

Sirine, Ben Ati

Sirine is an MS/Ph.D. student in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini at King Abdullah University of Science and Technology (KAUST). Education and Early Career Sirine obtained her bachelor’s degree in Electrical Engineering from Ecole Polytechnique de Tunisie (EPT) in 2022. She was a spring intern in 2022 before becoming KAUST student in 2022. Research Interest Sirine is focusing in the area of wireless communication. She’s currently working on satellite-to-ground communications. Professional Memberships MS in Kind Abdullah University of

Ruibo Wang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Ruibo Wang is a Ph.D. student in Electrical and Computer Engineering and a member of the Communication Theory Laboratory (CTL) under the direction of Professor Mohamed Slim Alouini at King Abdullah University of Science and Technology (KAUST). Education and Early Career Ruibo Wang graduated from the University of Electronic Science and Technology of China (UESTC) with a Bachelor's degree in Engineering in 2020. Research Interest Ruibo's research interests include Stochastic Geometry, Wireless communication, and Networking. Education Profile B. S. in University of Electronic Science and

Jiusi Zhou

Jiusi Zhou is a Ph.D. student under the supervision of Prof. Mohamed-Slim Alouini at the Communication Theory Lab (CTL) in King Abdullah University of Science and Technology (KAUST). Education and Early Career Jiusi Zhou obtained his Bachelor of Engineering from Communication and Information Engineering Department, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, P. R. China in 2018. Before formally joining KAUST, he worked as a internship student at CTL in KAUST during Aug 2017 to Jan 2018. Research Interest Jiusi is familiar with Ultraviolet Communication
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Anna Talgat

Anna Talgat is an MS/Ph.D. student in the Communication Theory Lab (CTL) at King Abdullah University of Science and Technology (KAUST), where she is supervised by Professor Mohamed-Slim Alouini. Her research focuses on applying stochastic geometry to satellite communication systems.
<> saudi vision 2030 (7)

KAUST’s new Robotics Bay advances the Kingdom’s robotics and AI capabilities

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KAUST launches the Robotics Bay — a 1,000 m² facility advancing Saudi Arabia’s robotics and AI innovation under Vision 2030.

Building a secure digital future for Saudi Arabia

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A regional framework for advancing cybersecurity and driving the Kingdom’s Vision 2030 digital transformation

Deloitte and KAUST join hands to explore AI applications in Saudi Arabia

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Partnership will focus on research, education, and real-world AI solutions to help advance Vision 2030

Saudi Summer Internship 2019 - E-Poster Competition

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Campus Library

We invite all members of the community to visit the first ever E-poster competition at KAUST for the SSI. The Saudi Summer Internship (SSI) is currently in it’s 7th year. This year CEMSE welcomes over 40 undergraduate students from Saudi Arabia to KAUST. With 25 interns being female, and 12 universities represented, 2019 is the largest and most diverse cohort of the SSI that the division has welcomed since it’s inception. All students have an excellent academic record in their home institution in areas related to Computer Science, Electrical Engineering and Mathematics. The students undertake a 12 week research program, supplemented with graduate skills and academic courses and are mentored by faculty and researchers in the CEMSE Division.

Nasir is invited to attend the Saudi Arabia/United States Innovation to Impact Roundtable!

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This exclusive series of roundtables will bring together 100+ university presidents, senior innovation and technology business leaders, entrepreneurs, government agencies, and venture capitalists from Saudi Arabia and the United States of America. Discussions will focus on enhancing collaboration and partnership agreements between the two countries and exploring joint research and investment opportunities catalyzed by Saudi Arabia’s Vision 2030.​

Alumni Focus: Albara Alauhali

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KAUST alumnus Albara Bin Mousaed Alauhali is currently the executive advisor and director of strategic projects at the National Identity Enhancement Program, a program aimed at achieving Saudi Vision 2030.

Albara Alauhali

M.S. Student, Computer Science
KAUST alumnus Albara Bin Mousaed Alauhali is currently the executive advisor and director of strategic projects at the National Identity Enhancement Program, a program aimed at achieving Saudi Vision 2030. Alauhali graduated from KAUST in December 2011 with a master's degree in computer science with a specialization in theoretical computing and algorithms. He received his undergraduate degree with first-class honors in computer science from King Fahd University of Petroleum and Minerals. After beginning his career in cyber security, Alauhali then moved on to become enrichment program