Topics

<> Graphene (5)

Design and Process Development of Graphene-Based Geometric Diodes for Enhanced Performance

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B2 L5 R5220

This thesis advances graphene geometric diodes (GGDs) by addressing fabrication, performance, and design challenges using innovative nanofabrication techniques and artificial intelligence-enhanced computational methodologies.

Graphene is taking charge

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

Mohamed D. Farhat

Research Scientist, Waves in Complex Media
Mohamed Farhat is currently a Research Scientist at King Abdullah University of Science and technology (KAUST), Thuwal, Saudi Arabia.

Lixin Ge

Visiting Researcher, Waves in Complex Media
Visiting researcher January 2015-June 2015 Ph.D. Fudan University, China, 2014 Research Interests Topological insulators, Graphene, Mie scattering theory. Selected Publications [1] Lixin Ge, Tianrong Zhan, Dezhuan Han*, Xiaohan Liu, and Jian Zi*, ``Unusual electromagnetic scattering by cylinders of topological insulator," Opt. Express 22, 30833 (2014). [2] Lixin Ge, Tianrong Zhan, Dezhuan Han*, Xiaohan Liu, and Jian Zi*, ``Determination of the quantized topological magneto-electric effect in topological insulators from Rayleigh scattering," Sci. Rep. 5, 7948 (2015). Education Ph.D. Fudan

Heng Wang

Ph.D. student in Electrical and Computer Engineering at KAUST with expertise in nanofabrication, electron beam lithography, and nanodevices. Focused on graphene-based geometric diodes.
<> hydrogen energy (5)

CEMSE Welcomes new Professor: Dr. Jr-Hau

1 min read ·
Prof. He joins from National Taiwan University, where he was a tenured associate professor of Electrical Engineering.

Visiting Ph.D. Student Meng-Lin Tsai and Prof Jr-Hau He device the thinnest highly-efficient solar cell

1 min read ·
At King Abdullah University of Science and Technology (KAUST), a team of researchers developed what might be the effective solution to the problem: the thinnest solar cells with lateral geometry offering high optoelectronic performances while reducing production costs of extended photovoltaic architecture. The research was recently published in Advanced Material and reported by Nature Middle East.

Jr-Hau He elected SPIE Fellow

1 min read ·
Jr-Hau He, KAUST associate professor of electrical engineering, has recently been elected as an SPIE Fellow for his achievements in solar cells, photodetectors and semiconductor optics research. SPIE, the international society for optics and photonics, annually recognizes society members who have made significant scientific and technical contributions in the multidisciplinary fields of optics, photonics and imaging, and for their outstanding technical contributions and service to SPIE. He and 72 additional fellows of the society will be promoted later this year.

KAUST Associate Professor Jr-Hau He wins Nano Energy Award 2019

1 min read ·
The Beijing Institute of Nanoenergy and Nanosystems of the Chinese Academy of Sciences recently announced that KAUST Associate Professor Jr-Hau He is one of three selected scholars who will receive the Nano Energy Awards 2019.

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
<> Indoor localization (5)

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.

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)

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.
<> Laser Diodes (5)

KAUST Ph.D student, Jorge A. Holguin-Lerma, awarded 2019 SPIE Optics and Photonics Education Scholarship

1 min read ·
SPIE, the international society for optics and photonics, recently awarded KAUST Ph.D. student Jorge Holguín-Lerma a 2019 Optics and Photonics Education Scholarship for his potential research contributions to optics, photonics or other related fields. Holguín-Lerma joined KAUST in August 2016 and is a member of Professor Boon S. Ooi's Photonics Laboratory.

KAUST Professor Kazuhiro Ohkawa elected Fellow of the Japan Society of Applied Physics

1 min read ·
By David Murphy, KAUST News KAUST Professor of Electrical Engineering Kazuhiro Ohkawa was recently elected as a Fellow of the Japan Society of Applied Physics (JSAP). The JSAP was established in 1930 as a voluntary forum for applied physics researchers in the country. Ohkawa's JSAP peers recognized him for his exceptional contributions to the progression of applied physics and his specific contribution to the "development of wide bandgap semiconductor epitaxial growth and optical devices," JSAP stated. "It is a great honor for me to be elected as a Fellow of the JSAP," Ohkawa noted. "The

Jorge Holguín-Lerma receives 2020 IEEE Photonics Society Graduate Student Scholarship

1 min read ·
KAUST Ph.D. student Jorge Holguín-Lerma has recently been named a recipient of the 2020 IEEE Photonics Society Graduate Student Scholarship. Holguín-Lerma was one of only ten students worldwide to receive the Society’s most competitive scholarship for graduate students in photonics. The award acknowledges both his work at KAUST and the potential impact of his future research.

Jorge A. Holguin-Lerma

Jorge A. Holguín-Lerma is a Ph.D. Student in Electrical and Computer Engineering (ECE) at the KAUST Photonics Lab. He holds an M.S. in Materials Science and Engineering (KAUST, Saudi Arabia, 2016), and a college degree in Electromedical Engineering (ULSA Chihuahua, Mexico, 2012). Before joining KAUST he worked as Component Engineer at Honeywell. Jorge has authored and co-authored 40+ journal papers and conference presentations. He has served as a technical referee for the journals Light: Science & Applications (Springer Nature), Applied Optics (OSA), Optics Letters (OSA), Optics Express (OSA)

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
<> machine learning algorithm (5)

Control and Estimation Designs Using Model-Based and Model-Free Approaches for Water Quality Monitoring in Process Systems

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B1 L4 R4214

This dissertation develops and evaluates advanced control and estimation strategies to address complex dynamics and measurement limitations in water-related applications, specifically optimizing fish growth in aquaculture and estimating bacterial concentration in wastewater treatment plants.
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.

Fahad Aljehani

Designing advanced control algorithms and estimation techniques to optimize water quality systems, specifically aquaculture and wastewater treatment, blending control theory with cutting-edge AI and machine learning to enhance performance, sustainability, and cost-efficiency.

Helping computers to see who we really are

1 min read ·
Algorithms that train computers to automatically detect human activity in videos can improve online searches and real-world surveillance systems.

Yasmine Marani

Yasmine is a Ph.D. candidate in Electrical and Computer Engineering under the supervision of Prof. Eric Feron and Prof. Meriem Laleg. She specializes in control theory, robotics, and artificial intelligence. Her research focuses on estimation problems for complex nonlinear systems with application to unmanned aerial vehicles (UAV) in uncertain environments.
<> mathematical optimization (5)

Rising Stars in AI Symposium 2022 at KAUST

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B4 B5 A0215

Rising Stars in AI Symposium 2022 at KAUST The "Rising Stars in AI Symposium" is geared towards young researchers (including PhD students, PostDocs, young faculty) who have recently published promising work at leading venues. There will be dozens of brief in-person presentations about papers recently accepted at major AI conferences such as NeurIPS, CVPR, EMNLP, ACL, ICML, ICLR, etc. All speakers will be encouraged to start with an intro for non-AI experts. To view the complete program and for more event details, please visit the symposium website. Attend the Symposium The symposium will be

On the resolution of a theoretical question related to the nature of local training in federated learning

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B1 L3 R3119

In this talk, I will explain the problem, its solution, and some subsequent work generalizing, extending and improving the ProxSkip method in various ways. We study distributed optimization methods based on the local training (LT) paradigm - achieving improved communication efficiency by performing richer local gradient-based training on the clients before parameter averaging - which is of key importance in federated learning. Looking back at the progress of the field in the last decade, we identify 5 generations of LT methods: 1) heuristic, 2) homogeneous, 3) sublinear, 4) linear, and 5) accelerated. The 5th generation, initiated by the ProxSkip method of Mishchenko et al (2022) and its analysis, is characterized by the first theoretical confirmation that LT is a communication acceleration mechanism.

Optimization for Deep Learning

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B5 L5 R5209

Abstract The field of optimization for machine learning has undergone significant changes in recent years with deep learning models increasing in scale and fine-tuning taking a more prominent role. In this presentation, I will share a perspective on the direction of changes in the field and highlight interesting research directions. I will provide real-world examples of what practitioners want from optimization methods to train deep networks at scale. I will then present my recent work on adaptive methods, such as Adam and Adagrad, and explain how we can estimate the learning rate for these

Jongho Park

I am a research scientist in Computer, Electrical and Mathematical Science and Engineering Division (CEMSE) at King Abdullah University of Science and Technology (KAUST). I received a B.S. degree in Mathematical Sciences/Computer Science in 2013, and M.S. and Ph.D. degrees in Mathematical Sciences in 2015 and 2019, respectively (Advisor: Chang-Ock Lee), all from KAIST. From 2019 to 2020, I was a postdoctoral researcher in Department of Mathematical Sciences at KAIST (Mentor: Chang-Ock Lee). From 2020 to 2023, I was a research assistant professor in Natural Science Research Institute at KAIST

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
<> Monte Carlo (5)

Monte Carlo based Inference for State-space Models

Sumeetpal Singh, Reader, Engineering Statistics, Department of Engineering, University of Cambridge

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KAUST

State-space models are widely used for the analysis of time-series data but full Bayesian inference is still elusive. I will review some applications of state-space models and recent endeavours towards efficient Monte Carlo sampling, in particular using Particle filtering and more recent Particle Markov Chain Monte Carlo methods. I will discuss the theoretical scalability of these methods with respect to the length of the observed time-series. Our theoretical results on their efficiency align well with many documented instances of their effectiveness based on extensive numerical studies. The talk will conclude with some open challenges to be pursued.

Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting

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B1 L3 R3119

In this paper, we propose a detailed theoretical study of one of these algorithms known as the split Gibbs sampler. Under regularity conditions, we establish explicit convergence rates for this scheme using Ricci curvature and coupling ideas. We support our theory with numerical illustrations.

Derivative-Free Global Minimization: Relaxation, Monte Carlo and Sampling

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B9 L2 H2 H2

We develop a derivative-free global minimization algorithm that is based on a gradient flow of a relaxed functional. We combine relaxation ideas, Monte Carlo methods, and resampling techniques with advanced error estimates. Compared with well-established algorithms, the proposed algorithm has a high success rate in a broad class of functions, including convex, non-convex, and non-smooth functions, while keeping the number of evaluations of the objective function small.

Multigrid Monte Carlo Revisited: Theory and Bayesian Inference

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B1 L3 R3119

Abstract The fast simulation of Gaussian random fields plays a pivotal role in many research areas such as Uncertainty Quantification, data science and spatial statistics. In theory, it is a well understood and solved problem, but in practice the efficiency and performance of traditional sampling procedures degenerates quickly when the random field is discretised on a grid with spatial resolution going to zero. Most existing algorithms, such as Cholesky factorisation samplers, do not scale well on large-scale parallel computers. On the other hand, stationary, iterative approaches such as the

Nadhir Ben Rached

Introduction Nadhir went to RWTH Aachen University, Aachen, Germany as a ​​Postdoctoral Research Fellow​. Education and early career Nadhir obtained his M.S and Ph.D. degree in Applied Mathematics and Computational Science, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia between 2012 - 2018. Research Interest Efficient Monte Carlo approach for rare event simulation Accurate Performance Analysis of Wireless Communication Systems Computational Finance Stochastic Differential Equations Numerical Analysis Selected Publications Graduation Project, Adaptive Monte
<> Neural Networks (5)

Mapping Properties of Neural Networks and Inverse Problems

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B1 L4 R4214

This talk will explore the injectivity and universal approximation properties of neural networks, focusing on one-to-one mappings and the approximation of probability measures using compositions of invertible flow networks and injective layers, with applications in inverse problems, imaging, and generative models.

Mohammed A Shukri

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

Principled Scaling of Deep Neural Networks

Soufiane Hayou, Postdoc, Simons Institute, UC Berkeley

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B9 L4 R4225

Neural networks have achieved impressive performance in many applications such as image and speech recognition and generation. State-of-the-art performance is usually achieved via a series of engineered modifications to existing neural architectures and their training procedures. However, a common feature of these systems is their large-scale nature: modern neural networks usually contain Billions - if not 10's of Billions - of trainable parameters, and empirical evaluations (generally) support the claim that increasing the scale of neural networks (e.g. width and depth) boosts the model performance if done correctly. However, given a neural network model, it is not straightforward to address the crucial question `how do we scale the network?'. In this talk, I will show how we can leverage different mathematical results to efficiently scale neural networks, with empirically confirmed benefits.

Haozhe Liu

Ph.D. Student, Computer Science
Haozhe Liu is a PhD student at AI Initiative, King Abdullah University of Science and Technology (KAUST) under the supervision of Prof.Jürgen Schmidhuber.

Arnaud Dethise

Ph.D. Student, Computer Science
Arnaud Dethise is a PhD candidate in Computer Science under the guidance of Professor Marco Canini. He completed his Bachelor's degree in Engineering and Master's degree in Computer Science in 2015 and 2017 respectively, from UCLouvain, Louvain-la-Neuve, Belgium. Arnaud has a strong interest in machine learning applied to distributed systems and is currently pursuing his doctoral research in this field. His specific research interests include Neural Networks, trustworthiness, verifiability and explainability, and model privacy, with a focus on exactness and provable guarantees. Arnaud’s goals
<> nlp (5)

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.
<> nonlinear dynamics (5)

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

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
<> nonparametric statistics (5)

Emmanuel Ambriz

Postdoctoral Research Fellow, Statistics

Bayesian Regression Trees, Nonparametric Heteroscedastic Regression Modeling and MCMC Sampling

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B1 L2

In this talk, we introduce a new Bayesian regression tree model that allows for possible heteroscedasticity in the variance model and devise novel MCMC samplers that appear to adequately explore the posterior tree space of this model.

Ziling Ma

Ph.D. Student, Statistics
Ziling is a doctoral student in Statistics at King Abdullah University of Science and Technology (KAUST), where she is conducting her research under the mentorship of Professor Hernando Ombao in the Biostatistics research group and Professor Ying Sun in the Environmental Statistics research group. Education and Initial Professional Experience Ziling Ma earned her Bachelor's degree in Mathematics and Applied Mathematics from Tianjin Normal University in China. She then furthered her education at KU Leuven in Belgium, where she was awarded a Master's degree in Mathematics. Ziling embarked on her

Zhuo Qu

Ph.D. Student, Statistics
Zhuo Qu is a PhD candidate in statistics, under Prof. Marc Genton. Zhuo likes to use statistics methods to interpret the data in the applications and find the new possibility of exploring the new statistics model. Being eager to learn and experience the uncertainty in the research and life, she also like chatting, swimming and piano. Her goal is to be a spare-time pianist among professional statisticians. Education and Early Career King Abdullah University of Science and Technology, Thuwal, January 2019 - December 2022, PhD in Statistics King Abdullah University of Science and Technology

Pavel Krupskiy

Postdoctoral Research Fellow, Statistics
Krupskiy, Pavel Postdoctoral Fellows ​​Ph.D. 2014, University of British Columbia, Canada​​ Now Assistant Professor at University of Melbourne Education ​ Ph.D. in Statistics 2014, University of British Columbia, Canada M.A. in Economics 2009, New Economic School, Russia B.Sc. in Mathematics 2006, Lomonosov Moscow State University, Russia Research interests copulas, multivariate extremes, nonparametric statistics, spatial data
<> numerical linear algebra (5)

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

KAUST scientists win prestigious Gauss Award for supercomputing excellence

1 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.

H2Opus: a Performance-Oriented Library for Hierarchical Matrices

1 min read ·
H2Opus: a Performance-Oriented Library for Hierarchical Matrices Download at https://github.com/ecrc/h2opus. Experience our latest HPC software release that implements H 2-Matrix operations on shared-memory systems, possibly equipped with GPU hardware accelerators. The prime target applications for H2Opus are PDE-constrained optimizations. The features of H2Opus include: Generation of matrix structure from a point set and admissibility condition, Construction of a hierarchical matrix given a kernel function, Matrix-vector and matrix-multiple-vector multiplication, Basis orthogonalization

Steering Customized AI Architectures for HPC Scientific Workloads: A Bird of Feather at SC22!

1 min read ·
Abstract: We explore the possibilities of a hybrid system capable of solving both HPC and AI scientific problems. Such a hybrid architecture combines the synergism between classical HPC platforms and dedicated AI chip systems, which is important due to the computational challenges brought to the fore by massively parallel Exascale systems. We discuss the system functionality, the algorithmic software adaptations, and performance considerations. We present efforts in supporting AI/ML applications in addition to seismic imaging, climate/weather prediction, and computational astronomy on hybrid
<> oil and gas sensors (5)

Additively Manufactured Conformal Microwave Sensors for Applications in Oil Industry

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B3 L5 R5220

Modern industries are adapting smart ways of monitoring their processes to ensure smooth operations. Sensors capable of early detection of a problem are becoming the norm in industrial processes. This is key to the development of the “Internet of Things” (IoT), in which billions of interconnected devices will work together to make smart decisions. Sensors that can detect and communicate the process information are essential ingredients of any IoT-enabled network. Since billions of such sensor nodes will be required in the future, the low cost will be an important feature for these devices. Consistent with the above-mentioned trends, the oil industry is also adapting smart monitoring and actuation mechanisms for its day-to-day operations. This thesis is focused on developing low-cost sensors, which can increase oil production efficiency through real-time monitoring of oil wells and also help in the safe transport of oil products from the wells to the refineries.

Muhammad Akram Karimi secures 3rd prize Best Paper Award at IMS - world's most prestigious microwaves conference

1 min read ·
Karimi's work on low cost and zero weight water-cut sensors stood out for its quality and distinctive application-direct approach. Successfully, he proved cost reductions of 100 times lower and dropping weight to 1,000 times below than the ones currently available in the market.

Ph.D. student Muhammad Akram Karimimi among Best Paper Award finalists

1 min read ·
Ph.D. student Muhammad Akram Karimimi from the research team of Atif Shamim, Assistant Professor of Electrical Engineering at KAUST and Director of IMPACT Laboratory, was one of the finalists in the Student Paper Competition at the International Microwave Symposium held in San Francisco, California, in May 2016.

CEMSE Students: Muhammad Akram Karimi

1 min read ·
Muhammad Akram Karimi describes himself as an inquisitive-minded researcher who loves to solve industrial challenges through science and technology. Karimi is a third-year Ph.D. student working in the Integrated Microwaves Packaging Antennas & Circuits Technology (IMPACT) Lab under the supervision of Professor Atif Shamim. His current research focus is on the design of low-cost and printed microwave sensors for various industrial applications, with a prime focus on the oil industry.

Muhammad Akram Karimi

Muhammad Akram Karimi 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). Research Interest Muhammad's research interests included the Design of Cost-Effective and robust Fluidic Sensors to characterize fluids (esp. Crude Oil) and Energy Harvesting. Selected Publications ​Journal : M. A. Karimi, M Arsalan and A. Shamim, "Low cost and pipe conformable microwave-based water cut sensor", IEEE Sensors
<> optical wireless communication systems (5)

Imran Ansari (PhD Candidate in Prof. Alouini's group) receives IEEE Scholarship

1 min read ·
Imran Shafique Ansari (EE PhD Candidate) was selected to receive the IEEE Richard E. Merwin Scholarship in recognition of his exemplary involvement in student chapter activities.

Yujian Guo

Yujian Guo is a Ph.D. student at Photonics Laboratory under the supervision of Professor Boon Ooi at King Abdullah University of Science and Technology (KAUST). Yujian obtained a Bachelor's Degree with distinction in Microelectronic engineering at the University of Electronic Science and Technology of China (UESTC), in 2017. He joined King Abdullah University of Science and Technology (KAUST) in the Fall of 2017 and achieved M.sc. in Electrical Engineering at KAUST in 2018. Research Interests Yujian's research interests include Underwater wireless optical communications, Underwater optical

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.

Imran Shafique Ansari

Imran Ansari graduated from KAUST in March 2015 with a Ph.D. in electrical engineering and joined Texas A & M at Qatar, Doha, Qatar, as a PDRA Postdoc Research Fellow after graduation, then British University in Oman, Muscat, Oman, as Assistant Professor, and then in August 2018 the University of Glasgow, Scotland, UK. He describes himself as an optical wireless communications enthusiast who works towards enhancing current wireless connectivity to provide more secure means of wireless information transfer. "For wireless information transfer—in which I have been involved recently—to have a

Dmitrii Briantcev

Dmitrii 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 Dmitrii obtained his bachelor degree in Radiophysics from Saint Petersburg State University (SPbSU) in 2018. He participated in KAUSTs “Photonics summer camp” program before becoming a KAUST student in 2018. Research Interest Dmitrii is focusing in the area of optical communication, free space communication, and numerical modeling. He is currently working on the development of OAM
<> optimal control (5)

Control and Estimation Designs Using Model-Based and Model-Free Approaches for Water Quality Monitoring in Process Systems

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B1 L4 R4214

This dissertation develops and evaluates advanced control and estimation strategies to address complex dynamics and measurement limitations in water-related applications, specifically optimizing fish growth in aquaculture and estimating bacterial concentration in wastewater treatment plants.

Fahad Aljehani

Designing advanced control algorithms and estimation techniques to optimize water quality systems, specifically aquaculture and wastewater treatment, blending control theory with cutting-edge AI and machine learning to enhance performance, sustainability, and cost-efficiency.

Epidemiological modeling and optimal control

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KAUST

Compartmental epidemiological models are one of the simplest models for the spread of a disease. They are based on statistical models of interactions in large populations and can be effective in the appropriate circumstances. Their application historically and in the present pandemic has sometimes been successful and sometimes spectacularly wrong. In this talk I will review some of these models and their application. I will also discuss the behavior of the corresponding dynamical systems, and discuss how the theory of optimal control can be applied to them. I will describe some of the challenges in using such a theory to make decisions about public policy.

Salman Sarfaraz Ghori

Education 2021.10 - Present Ph.D. Student in Electrical and Computer Engg, King Abdullah University of Science and Technology, KSA 2018.09 - 2020.10 M.S in Aerospace Engg, Sapienza University of Rome, Italy ​2009.05 - 2013.05 B.Tech in Electronics and Communication Engg, Jawaharlal Nehru Technological University HYD, India Professional Profile 2018.01 - 2018.09 Senior Engineer, ZF India Technology Center, India 2017.02 - 2018.01 Embedded Software Engineer, Global Edge, India 2014.09 - 2017.01 System Engineer, Tata Consultancy Services, India Areas of Expertise and Research Interests Space

Raul Tempone

Professor Raul Tempone is an worlwide 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.
<> parabolic-hyperbolic PDE (5)

Unveiling the potential of energy/entropy stable numerical methods for hyperbolic/mixed hyperbolic-parabolic PDEs

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B9 L2 H1

Abstract The demand for increasingly multidisciplinary reliable simulations, for both analysis and design optimization purposes, requires transformational advances in individual components of future PDEs solvers. At the algorithmic level, hardware compatibility and efficiency are of paramount importance in determining viability on future hardware. However, equally important (if not more so) is provable algorithmic robustness which becomes progressively more challenging to achieve as problem size and physics complexity increase. We show that rigorously designed adaptive semi- and fully-discrete

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.

Part 2A | PDE Backstepping Boundary Control of Parabolic PDEs

Prof. Mamadou Diagne, Rensselaer Polytechnic Institute

-

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

-

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.
<> phononics (5)

Acoustic metamaterials and metasurfaces for controllable wave manipulation

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B1 L2 R2202

I will provide an overview on recent researches on acoustic and elastic metamaterials and metasurfaces for controllable wave manipulation, we are developing in my group in the University of Lorraine. I first will present some advances related to low-frequency acoustic and vibration shielding/absorption making use of metamaterials1,2 and metasurfaces3,4, and describe the added value that such artificial engineered materials can bring to consider some innovative applications.

Ying Wu awarded Phononics Young Investigator 2017

1 min read ·
Prof. Ying Wu received the 2017 Phononics Young Investigator Award as the Phononics community gathered in Changsha, China, for the 4th International Conference on Phononic Crystal/Metamaterials, Phonon Transport/Coupling, and Topological Phononics, on June 4-9 2017.

Zeguo Chen

Master, Nanjing University 2014 Bachelor, Nanjing University 2011 Research Interests Wave propagation in Metamaterials and Phononic Crystals.

Ying Wu

Professor Wu works on theoretical modeling and numerical simulations of classical wave propagation in complex media, including metamaterials, metasurfaces, topological materials and random systems. She is recognized by effective medium theory, perturbation theory for periodic structures with resonances.

Mohamed D. Farhat

Research Scientist, Waves in Complex Media
Mohamed Farhat is currently a Research Scientist at King Abdullah University of Science and technology (KAUST), Thuwal, Saudi Arabia.
<> photovoltaics (5)

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

1 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.

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
<> plasmonics (5)

InGaN-based light-emitting devices

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B9 L2 H1

III-Nitride-based light-emitting diodes (LEDs) are already commercialized for instance blue and green LEDs. It is very contributed as energy saving light source all over the world. This material is a very attractive material, capable of the emitting range is not only blue light but also UV and visible light. Moreover, application as a power device is also possible, it is one of the materials considered to lead the energy saving society in the future. Visible light LED has a wide range of applications. Visible light LED has a wide range of applications. we expect that there is some application, for instance, μ-LED display, optical communication, plant cultivation, medical treatment, and so on. In the seminar, I will talk about III-Nitride-based visible light emitting devices and introduce recent research with outstanding metalorganic chemical vapor deposition (MOCVD) growth technique.

New nanolasers for quantum information sources

1 min read ·
Integrating coherent light sources at the nanoscale with spasers is one of the most promising applications of plasmonics. In a spaser, localized plasmon polaritons (LPPs) waves occurring at the metal-dielectric interface are amplified by an active medium. Under specific conditions, the gain of plasmonic modes can overcome the absorption losses occurring in the metal and stimulated emission of radiation occurs, as experimentally observed in optically pumped spasers. Despite the large body of experimental research, the theoretical understanding of the spaser dynamics is still challenging

Mohamed D. Farhat

Research Scientist, Waves in Complex Media
Mohamed Farhat is currently a Research Scientist at King Abdullah University of Science and technology (KAUST), Thuwal, Saudi Arabia.

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

Daisuke Iida

Senior Research Scientist, Electrical and Computer Engineering
Daisuke Iida is a Senior Research Scientist at Energy Conversion Devices and Materials (ECO Devices) Laboratory in the Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE). He holds a Ph.D. in Materials Science and Engineering from Meijo University in 2011. Afterward, he held postdoctoral and visiting researcher positions at Meijo University and Technical University of Denmark. Then, he worked as an assistant professor at Tokyo University of Science from 2014 to 2017. His research interest is III-nitride semiconductors-based optoelectronic devices, especially the
<> probability theory (5)

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.

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

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
<> Radio Frequency Integrated Circuits (5)

CEMSE New Faculty: Abdulrahman Alhamed, assistant professor of electrical and computer engineering

2 min read ·
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

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

Two KAUST students selected for the Three Minute Thesis 3MT competition final at IMS2017

1 min read ·
This year, KAUST took the lion's share at the Three Minute Thesis (3MT(R)) contest at the annual IEEE microwave symposium IMS2017, with two students selected to take part in the final and one of them - Dr. Farhan Abdul Ghaffar - finishing within the top 4 and getting Honorable Mention for his presentation.

Haoran Zhang

Haoran Zhang is a Ph.D. student in the Electrical Engineering department at Integrated Microwaves Packaging Antennas & Circuit Technology Research Group under the supervision of Professor Atif Shamim at King Abdullah University of Science and Technology (KAUST). Research Interests Millimeter-wave on-chip antenna design and Radio Frequency Integrated Circuits (RFIC)​ design 5G Array Antenna in Package design Education Profile Bachelor of Engineering in Electrical Engineering, University of Electronics of Science and Technology, China (2013 - 2017).

Farhan Abdul Ghaffar

Farhan Abdul Ghaffar graduated with a Ph.D. degree and an M.S. 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, Farhan is working as a Post Doctoral Fellow/Instructor at the University of Ontario Institute of Technology (UOIT)​. Research Interests Farhan's research interests included Fractal Antenna Design for System on Package (SoP) and System on Chip (SoC) Applications, Ferrite LTCC Based Tunable
<> regularity (5)

A very short introduction to regularity theory for linear elliptic equations - Part 1

Professor Jose Urbano, Department of Mathematics at University of Coimbra, Portugal

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B1 L3 R3119

Mini Course Part 1 of 4. The course is a very short introduction to regularity for linear elliptic pdes of second order. We start with equations with regular coefficients and the difference quotient method of Nirenberg. We then treat the case of coefficients that are merely measurable and bounded, putting forward the basics of De Giorgi-Nash-Moser theory. If time permits, we present some characterizations of Hölder spaces which are very useful in regularity theory.

A very short introduction to regularity theory for linear elliptic equations - Part 3

Professor Jose Urbano, Department of Mathematics at University of Coimbra, Portugal

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B1 L3 R3119

Mini Course Part 3 of 4. The course is a very short introduction to regularity for linear elliptic pdes of second order. We start with equations with regular coefficients and the difference quotient method of Nirenberg. We then treat the case of coefficients that are merely measurable and bounded, putting forward the basics of De Giorgi-Nash-Moser theory. If time permits, we present some characterizations of Hölder spaces which are very useful in regularity theory.

A very short introduction to regularity theory for linear elliptic equations - Part 4

Professor Jose Urbano, Department of Mathematics at University of Coimbra, Portugal

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B1 L3 R3119

Mini Course Part 4 of 4. The course is a very short introduction to regularity for linear elliptic pdes of second order. We start with equations with regular coefficients and the difference quotient method of Nirenberg. We then treat the case of coefficients that are merely measurable and bounded, putting forward the basics of De Giorgi-Nash-Moser theory. If time permits, we present some characterizations of Hölder spaces which are very useful in regularity theory.

A very short introduction to regularity theory for linear elliptic equations - Part 2

Professor Jose Urbano, Department of Mathematics at University of Coimbra, Portugal

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B1 L2 R2202

Mini Course Part 2 of 4. The course is a very short introduction to regularity for linear elliptic pdes of second order. We start with equations with regular coefficients and the difference quotient method of Nirenberg. We then treat the case of coefficients that are merely measurable and bounded, putting forward the basics of De Giorgi-Nash-Moser theory. If time permits, we present some characterizations of Hölder spaces which are very useful in regularity theory.

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.
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Prof. Keyes opening virtually the ISC event

1 min read ·
Prof. Keyes and team successfully run virtually the ISC event: catch up on the opening session below! Read the full article here.

ECRC contributions to SIAM CSE21

1 min read ·
ECRC @ SIAM CSE21! Follow us @KAUST_ECRC As in previous SIAM conferences on Parallel Processing (PP) and Computational Science and Engineering (CSE), ECRC members and their collaborators will have a strong presence at SIAM CSE21, nominally in Fort Worth, Texas, but held virtually due to the pandemic. ************************************************** SIAM CSE21 will run virtually with live sessions. ************************************************** Registration to SIAM CSE is required to gain access to the online platform and attend live sessions. Once registered, please use your personal

KAUST Research Conference of Robotics and Autonomy 2021

1 min read ·
The KAUST Research Conference on Robotics and Autonomy 2021, #RobotoKAUST, brought together leading international and in-Kingdom robotics researchers and government and industry representatives from the robotics industry to discuss robotics and its applications. The online event was organized by Prof. E. Feron, Prof. B. Ghanem, Prof. X. Zhang and had six sessions on Marine Robotics, Human-Robot Interactions, Aerospace Robotics, Mobile Robotics, Wearable Robotics & Microrobotics, Assured Autonomy. Twenty-seven speakers (seven from KSA including three from KAUST, and three from industry)

The Recordings of the #RobotoKAUST talks are available

1 min read ·
The first KAUST Research Conference on Robotics and Autonomy 2021, #RobotoKAUST, brought together leading international and in-Kingdom robotics researchers and government and industry representatives from the robotics industry to discuss robotics and its applications. The recordings of the talks are available online! To watch the talks, please visit our website #RobotoKAUST or our KAUST RISC Lab YouTube Channel.

The KAUST Research Conference on Robotics and Autonomy 2022 #RobotoKAUST

1 min read ·
Building upon our successful online conference in spring 2021, the KAUST Robotics, Intelligent Systems, and Control Lab (RISC Lab) will host the KAUST Research Conference on Robotics and Autonomy 2022 (#RobotoKAUST2022) from February 28 until March 2, 2022. The conference will address the most recent trends of robotics application in a range of disciplines.
<> smart health (5) <> Spatial extremes (5)

Statistics of Extremes

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B9 L2 H1 R2322

Extreme environmental events such as droughts, floods and heat-waves take place in space and time, and it is necessary to take this into account when evaluating their risks and estimating their probabilities. During this seminar, I will review some classical and more recent work on this topic, focusing on the modeling of univariate and spatial extremes. The ideas will be illustrated by applications to peak river flow data from the UK, and heavy rainfall close to Jeddah.

Dr. Sebastian Engelke (EPFL) visits extSTAT

1 min read ·
Sebastian is an Ambizione fellow at EPF Lausanne with Anthony Davison. Sebastian did his studies in Mathematics at University of Göttingen and UC Berkeley, and he finished his PhD as a Deutsche Telekom Foundation fellow in 2013 at the University of Göttingen with Martin Schlather. His research interests are in extreme value theory, spatial statistics, graphical models and data science.

Prof. Benjamin Shaby (Penn State University, USA) visits extSTAT

1 min read ·
Prof. Ben Shaby is an Assistant Professor in the Statistics Department and the Institute for CyberScience at Penn State, where he started in 2013. Before that, he was a postdoc with Cari Kaufman at UC Berkeley. Previous stop was in Durham at the Statistics and Applied Mathematical Institute (SAMSI) and Duke University. He did his Ph.D. work in Statistics at Cornell University with David Ruppert and Marty Wells. Before starting at Cornell, he spent his undergrad years at Stanford (go Cardinal!). He then spent two great years working for Chris Field at the Carnegie Institution's Department of

PhD student Sabrina Vettori selected for an ENVR Student Paper Award. Congrats!

1 min read ·
PhD student Sabrina Vettori has been selected to receive a Best Student Paper Award from the Section on Statistics and the Environment (ENVR) of the American Statistical Association (ASA) for her manuscript entitled "Bayesian clustering and dimension reduction in air pollutant multivariate extremes".

Best 2016 Paper in the Journal of Agricultural, Biological and Environmental Statistics

1 min read ·
Professor Huser will present the work in a special invited session (JABES showcase) at the International Biometric Conference taking place in Barcelona, Spain, in July 2018.
<> statistical analysis (5)

A Generalized Gaussian Min–Max Framework Inferring Post-Processing Effects in High-Dimensional Estimation

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B1 L3 R3119

This talk introduces the Convex Gaussian Min–Max Theorem (CGMT) as a principled framework to analyze the performance of such solutions, and presents a new Gordon-type inequality to study functionals of the solutions that arise when direct deployment is infeasible.

Statistical Models and Methods Based on Stochastic Partial Differential Equations

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This talk presents an overview of our research on statistical methods using stochastic partial differential equations (SPDEs), focusing on non-Gaussian random fields and fractional-order SPDEs, and theory for random fields and statistical analysis on metric graphs, highlighting theoretical contributions, software development, and applications relevant to KAUST RDI pillars.

Statistical Analysis of Multi-day Solar Irradiance using a Threshold Time Series model

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B9 H2 R2325

Abstract The analysis of solar irradiance has important applications in predicting solar energy production from solar power plants. Although the sun provides every day more energy than we need, the variability caused by environmental conditions affects electricity production. Most of the existing statistical models to forecast solar irradiance are linear and highly depend on normality assumptions. However, solar irradiance shows strong non-linearity and is only measured during the day time. Thus, we propose a new multi-day threshold autoregressive (TAR) model to quantify the variability of the

Flexible Multivariate, Spatial, and Causal Models for Extremes

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B4 L5 R5220

Risk assessment for natural hazards and financial extreme events requires the statistical analysis of extreme events, often beyond observed levels. The characterization and extrapolation of the probability of rare events rely on assumptions about the extremal dependence type and about the specific structure of statistical models. In this thesis, we develop models with flexible tail dependence structures, in order to provide a reliable estimation of tail characteristics and risk measures. Our novel methodologies are illustrated by a range of applications to financial, climatic, and health data.

Ricardo Henao

Associate Professor (former), Bioengineering
​Ricardo Henao, a quantitative scientist, is an Associate Professor of Bioengineering in the Biological and Environmental Science and Engineering ( BESE) Division, and Computer Science in the Computer, Electrical, Mathematical Sciences and Engineering Division ( CEMSE), member of the Smart Health Initiative ( SHI) and the Computational Biosciences Research center ( CBRC), at KAUST (King Abdullah University of Science and Technology). He is also currently an Associate Professor in the department of Biostatistics and Bioinformatics, Department of Electrical and Computer Engineering ( ECE)
<> Stochastic Modeling (5)

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

1 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 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
<> stretchable electronics (5)

Stretchable Electronics Make Thermotherapy Easier for Arthritis Patients

1 min read ·
A paper has been published to cover a new technology that makes electronic devices stretchable while retaining their electrical and thermal properties.

Smart skin for flexible monitoring

1 min read ·
An electronic tag that stretches and flexes while it records location and environmental data can monitor marine animals in their natural habitat.

Plant Wearables and Airdropped Sensors Could Sow Big Data Seeds

1 min read ·
Stretchable plant wearables and smart tags dropped by drones aim to help give farming a big data makeover. The relatively cheap technologies for mass monitoring of individual plants across large greenhouses or crop fields could get field tests in three countries starting in 2019. The idea came from researchers at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia with expertise in flexible electronics. After talking with colleagues who were cultivating genetically engineered plants in greenhouses, they recognized the need for inexpensive sensors that could be deployed

Transforming electronics

1 min read ·
KAUST Professor of Electrical Engineering Muhammad Mustafa Hussain was recently elected as an Institute of Electrical and Electronics Engineers (IEEE) Fellow, effective January 1, 2020, for his "contributions to flexible and stretchable electronic circuits," IEEE stated.

Aftab Hussain

Aftab Hussain received both his Master's degree and Ph.D. in Electrical Engineering from King Abdullah University of Science and Technology under the supervision of Prof. Muhammad Mustafa Hussain. He now works as a faculty member at the International Institute of Information Technology in Hyderabad, India. Research Interest Aftab's research interests include nanoelectronics, fabrication processes especially mask design and epitaxial growth process. Education Profile Ph.D., Electrical Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia. (2013-2016) M.S
<> synthetic biology (5)

Sharing expert experimental knowledge to expedite design

1 min read ·
A repository of metabolic information provides a quick reference tool for designing useful synthetic biological systems.

Takashi Gojobori

Ibn Sina Distinguished Professor (former), Bioscience
Takashi Gojobori is a Distinguished Professor of Bioscience and Acting Director at the Computational Bioscience Research Center (CBRC) in King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. He currently holds the position of Project Professor at the National Institute of Genetics (NIG), Mishima, Japan. He also works for a number of leading universities such as the University of Tokyo, Waseda University, and Fukushima Prefecture College of Medicine. He is a Visiting Professor for Keio University, Nihon University, and National Cheng Kong University in Taiwan. After

Meshari Alazmi

As a Ph.D. student in Xin Gao's group, Meshari earned his degree in synthetic biology, systems biology, thermodynamics, and protein structure prediction. Thereafter he worked in a similar capacity in Stefan Arold's group and later went on to become an assistant professor at the University of Hail, KSA. Research Interests Meshari Alazmi's research interests are in ​Synthetic Biology, Systems Biology, Thermodynamics, Protein Structure Prediction Scientific and Professional Membership Association for Computing Machinery (ACM) student Chapter Education Profile Ph.D. in computer science, King

Majed Alzahrani

Majed Alzahrani obtained PhD degree in Computer Science from King Abdullah University of Science and Technology in 2017. His PhD thesis supervisor was Professor Xin Gao. After graduating, he joined Saudi Aramco as a data scientist in its Drilling Data Science unit. Working in one of the largest companies in the world is a dream come true for many, for Majed Alzahrani, things couldn't be better. Research Interest Majed's research interests were in machine learning, structural bioinformatics, synthetic biology.

Hiroyuki Kuwahara

Hiroyuki Kuwahara got his Ph.D. degree in Computer Science from the University of Utah in 2008. He was then a junior researcher at Microsoft Research - Trento during 2007 and 2009. During 2009 and 2012, he was a Ray and Stephanie Lane Fellow at the School of Computer Science at Carnegie Mellon University. Since 2012, he joined the SFB group as a Research Scientist. Research Interests ​Hiroyuki's area of research is broadly in computational systems and synthetic biology. His main research focus is on the theoretical understanding of how various uncertainties contribute to the relation between
<> system on chip (5)

CEMSE New Faculty: Abdulrahman Alhamed, assistant professor of electrical and computer engineering

2 min read ·
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

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

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."

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.

Farhan Abdul Ghaffar

Farhan Abdul Ghaffar graduated with a Ph.D. degree and an M.S. 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, Farhan is working as a Post Doctoral Fellow/Instructor at the University of Ontario Institute of Technology (UOIT)​. Research Interests Farhan's research interests included Fractal Antenna Design for System on Package (SoP) and System on Chip (SoC) Applications, Ferrite LTCC Based Tunable
<> systems biology (5)

Towards rational design of biosynthesis pathways

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B3 R5209

Recent advances in genome editing and metabolic engineering enabled a precise construction of de novo biosynthesis pathways for high-value natural products. One important design decision to make for the engineering of heterologous biosynthesis systems is concerned with which foreign metabolic genes to introduce into a given host organism.

AI4GH Seminar Series - Towards Rational Design of Biosynthesis Pathways

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B2 R5220

Recent advances in genome editing and metabolic engineering enabled a precise construction of de novo biosynthesis pathways for high-value natural products. One important design decision to make for the engineering of heterologous biosynthesis systems is concerned with which foreign metabolic genes to introduce into a given host organism.

Meshari Alazami defends his thesis proposal

1 min read ·
Meshari Alazami, a Ph.D. student under the supervision of Associate Professor Xin Gao, successfully defended his thesis proposal on May 22, 2018. His topic, "Towards Rational Design of Biosynthesis Pathways", was well received by committee members Associate Professor Xin Gao, Distinguished Professor Takashi Gojobori and Assistant Professor Robert Hoehndorf.

Meshari Alazmi defends his Ph.D. thesis

1 min read ·
Meshari Alazmi, a Ph.D. candidate under the supervision of Associate Professor Xin Gao, defended his Ph.D. dissertation on October 24, 2018.

Meshari Alazmi

As a Ph.D. student in Xin Gao's group, Meshari earned his degree in synthetic biology, systems biology, thermodynamics, and protein structure prediction. Thereafter he worked in a similar capacity in Stefan Arold's group and later went on to become an assistant professor at the University of Hail, KSA. Research Interests Meshari Alazmi's research interests are in ​Synthetic Biology, Systems Biology, Thermodynamics, Protein Structure Prediction Scientific and Professional Membership Association for Computing Machinery (ACM) student Chapter Education Profile Ph.D. in computer science, King
<> Ultrawide bandgap materials (5)

Yan Wang

M.S. Student, Photonics Laboratory
M.S./Ph.D. in Electrical Engineering at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, Aug. 2024- present BEng. in Communication Engineering at University of Electronic Science and Technology of China (UESTC), Chengdu, China, Sept. 2019 - Jun. 2024​
KAUST-CEMSE-ECE-PhD-Dissertation-Defense-Dhanu-Chetri-Ultrawide-Bandgap-Semiconductor-Devices-and-Monolithic-Circuits

Ultrawide Bandgap Semiconductor Devices and Monolithic Circuits

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B3 L5 R5220

This thesis investigates the potential of ultrawide bandgap (UWBG) semiconductors like gallium oxide (Ga2O3) and aluminium nitride (AlN) for high-power applications, focusing on the development of monolithic devices and circuits, including pseudo-CMOS inverters, bidirectional switches, and MOSFETs, demonstrating their potential for next-generation electronics operating in extreme environments.

Tingang Liu

Tingang Liu is a Ph.D. student at the Advanced Semiconductor Laboratory, focusing on ultrawide bandgap semiconductors especially AlN epitaxy by MOCVD and power device fabrications.

Haicheng Cao

Postdoctoral Research Fellow, Applied Mathematics and Computational Science
KAUST-CEMSE-ECE-ASL-Dhanu-Chettri-0561

Dhanu Chettri

<> virtual reality (5)

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.

New stats apps show a virtual reality

1 min read ·
Harnessing the power of virtual reality will help to visualize data and improve statistical models.

Peter Rautek

Research Scientist, Computer Science
Peter Rautek is a Research Scientist in the High-Performance Visualization Group working with Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST).

Marco Agus

Marco Agus was a Research Engineer in the High Performance Visualization Group (HPV) working with Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career He obtained his master degree in Electronic Engineering from the University of Cagliari in Italy in 1999. He has a Ph. D. in Mechanical Design from the University of Cagliari. Before joining KAUST, Marco was a researcher at Visualization and Virtual Reality Group in the Center for Advanced Studies, Research and Development in Sardinia (CRS4) in Italy. After that in 2007, he moved to

Alexandre A. Kouyoumdjian

Research Scientist, Computer Science
Dr. Alexandre A. Kouyoumdjian has joined the Nanovisualization Research Group as a Research Scientist working with Professor Ivan Viola. His main research interests are Visualization & Computer Graphics, Human-Computer Interaction & Virtual Reality, and Microarchitecture. Dr. Alexandre A. Kouyoumdjian has also worked in the industry as an R&D Consultant for a start-up that develops VR applications meant to ease chronic pain and a graphics programmer for a game studio. Education Profile Ph.D., Computer Science, Université Paris-Saclay,FRANCE, 2018 M.S., Computer Science (Bioinformatics and
<> wave propagation (5)
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.

Fast Solution Methods for Wave Propagation Problems: From Classical Domain Decomposition Solvers to Learning

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B2 L5 R5220

Wave propagation and scattering problems are of huge importance in many applications in science and engineering - e.g., in seismic and medical imaging and more generally in acoustics and electromagnetics.

Sadeed B. Sayed and Ismail E. Uysal ranked in the student paper competition at the ACES Conference

1 min read ·
Ph.D. students Sadeed B. Sayed and Ismail E. Uysal working in the Computational Electromagnetics Group led by Prof. Hakan Bagci ranked 3rd and 5th in the student paper competition at the 30th International Conference

Ying Wu

Professor Wu works on theoretical modeling and numerical simulations of classical wave propagation in complex media, including metamaterials, metasurfaces, topological materials and random systems. She is recognized by effective medium theory, perturbation theory for periodic structures with resonances.

Sadeed Bin Sayed

Sadeed Bin Sayed is a Ph.D. candidate in Electrical engineering at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Hakan Bagci. He received his B.Tech. degree in electronics and communication engineering from the National Institute of Technology Calicut, Calicut, India, in 2004, and the M.Tech. degree in communications engineering from the Indian Institute of Technology Delhi, New Delhi, India, in 2007. From July 2007 to May 2008, he worked as a Member with Technical Staff Digibee Microsystems, Bangalore, India. In May 2008, he joined as an
<> wearable electronics (5)

Rajat Kumar

Rajat is a PhD candidate in the Electrical and Computer Engineering program at KAUST, where he focuses on the design and development of energy-efficient body-centric wearable systems.

An antenna that goes the distance

1 min read ·
A low-cost, copper-based flexible and stretchable antenna improves far-field data communication in wearable electronics.

Flexing for success from Saudi Arabia to Silicon Valley

1 min read ·
Asrar Damdam is setting up her own biotech company in Silicon Valley while pursuing a Ph.D. at KAUST

Mohamed Saadeldin

Postdoctoral Research Fellow, Sensors
Postdoctoral Research Fellow, Sensors Lab at King Abdullah University of Science and Technology (KAUST), Assistant Professor, University College Dublin .

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
<> wearable sensors (5)
Montserrat Ramirez de Angel receiving the Best Pitch Award at IEEE 2024 Sensors Conference

A voice to the voiceless: Montserrat Ramirez De Angel takes “Best Pitch” award at IEEE 2024 Sensors Conference

3 min read ·
Montserrat Ramirez de Angel wins the Best Pitch Award at IEEE 2024 Sensors Conference for her innovative work in biosensors and sensor technology.

Ahmed Alfadhel wins the 2016 Edition of MIT Arab Innovators Under 35

1 min read ·
On April 14, the "Innovator under 35 in the Arab World" prize - an award scheme organized by the MIT was bestowed on Ahmed Alfadhel, a PhD candidate in CEMSE at Kaust.

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.

Two KAUST students selected for the Three Minute Thesis 3MT competition final at IMS2017

1 min read ·
This year, KAUST took the lion's share at the Three Minute Thesis (3MT(R)) contest at the annual IEEE microwave symposium IMS2017, with two students selected to take part in the final and one of them - Dr. Farhan Abdul Ghaffar - finishing within the top 4 and getting Honorable Mention for his presentation.

Altynay Kaidarova

​Altynay has pursued an academic career in Electrical Engineering in different countries, such as Kazakhstan, Singapore, the United Kingdom, and Saudi Arabia. She considers herself a citizen of the world upholding scientific achievements, passion, inspiration, diversity, integrity, and openness. In 2010 the student attained Bolashak International Scholarship which was awarded to high-performing students from Kazakhstan. She has then successfully completed the foundation at Nanyang Technological University in Singapore and obtained a first honor degree in Electronics and Communication
<> wireless communication systems (5)

Analysis and Optimization of Massive MIMO Systems via Random Matrix Theory Approaches

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B1 L3 R3119

Massive multiple-input multiple-output (MIMO) is a key enabling technology to achieve the required spectral and energy efficiency of the next generation of wireless networks. By endowing the base station (BS) with hundreds of antennas and relying on spatial multiplexing, massive MIMO allows impressive advantages in many fronts. To reduce this promising technology to reality, thorough performance analysis has to be conducted. Along this line, this work is focused on the convenient high-dimensionality of massive MIMO’s corresponding model. Indeed, the large number of antennas allows us to harness asymptotic results from Random Matrix Theory to provide accurate approximations of the main performance metrics. The derivations yield simple closed-form expressions that can be easily interpreted and manipulated in contrast to their alternative random equivalents. Accordingly, in this dissertation, we investigate massive MIMO in different contexts.

Innovations in LED Wireless Communication Systems - Reviewing technical innovations that may make a difference

Prof. Jean-Paul Linnartz, Electrical Engineering, Eindhoven University of Technology

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KAUST

With the transition from traditional to LED light sources, the lighting industry has changed completely. Lighting systems have become intelligent and connected.

The internet of sea things

1 min read ·
When Atif Shamim, KAUST associate professor of electrical engineering, was approached by colleagues in the University's Red Sea Research Center (RSRC) with the challenge of developing underwater sensing technology for marine animals, he wasn't sure how his expertise could help, since marine animals are under water most of the time. Up until now, his research has focused on Bluetooth for applications on dry land, such as wearable medical devices connected to smartphone applications through Bluetooth communication protocol

Yu Tian

Yu Tian is 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 Yu Tian obtained his Master degree in Computer Science from KAUST in 2019 and Bachelor degree in Communication Engineering from Harbin Institute of Technology (HIT) in 2013. From November 2016 to April 2017, he was a visiting student in Visual Computing Center in KAUST. Before coming to KAUST, he worked as a research assistant in Chinese Academy of Science focusing on antenna designing

Ikram Boukhedimi

Ikram Boukhedimi was born in Blida, Algeria. She received an Electrical Engineering degree from the Ecole Polytechnique d'Alger, Algeria, in 2013 and an M.S. in Mathematics, Control and Electrical Engineering from Universite de Poitiers, France in 2014. and she earned a Ph.D. in Electrical Engineering at King Abdullah University of Science and Technology in June 2019, Saudi Arabia in Professor Mohamed Slim Alouini’s Communication Theory Lab in Electrical Engineering research group. Her research interests include random matrix theory approaches applied to wireless communication systems
<> wireless powering (5)

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.

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
<> 3D reconstruction (4)

Peter Wonka's new query tool, called a relation-augmented image descriptor will change forever querying images online.

1 min read ·
Today, querying the massive amounts of images available in online databases such as Instagram can be a time-consuming experience. Researchers from the King Abdullah University of Science and Technology (KAUST) and the University College London, have developed a new tool that generates image queries based on a geometric description of objects in spatial relationships with potential applications in computer graphics, computer vision and automated object classification.

Jinhui Xiong wins Best Paper Award at VMV 2019

1 min read ·
Fourth-year computer science Ph.D. student Jinhui Xiong won the best paper award at this year’s 24th International Symposium on Vision, Modeling, and Visualization (VMV) 2019.

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

Ibraheem Alhashim

Ibraheem Alhashim is a Remote Researcher working with Professor Peter Wonka. Education and Early Career Ibraheem Alhashim completed his B.Sc. with honors in Computer Science at the Portland State University in 2008, followed by his M.Sc. in Computer Science in 2011 under the supervision of Prof. Hao Zhang and his Ph.D. in Computer Science in 2016 under the supervision of Prof. Hao Zhang and Prof. Ghassan Hamarneh at Simon Fraser University in Canada. During both his Master and Ph.D., Alhashim was working at the GrUVi Lab at Simon Fraser University in Canada. Dr. Alhashim joined KAUST in 2017
<> 4D printing (4)

Solution Processable Carbon Nanotubes Based Sensors: Towards 4D Printed Electronics

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B2 L5 R5209

In this thesis, we focus on the design and development of 4D printed sensors. Carbon nanotubes (CNTs) are used as the active sensing medium as they have proven to be ideal for application in sensors due to their high electric conductivity, stability, and mechanical flexibility. The effect of a heat-shrinkable substrate on the electronic and structural properties of CNTs is analyzed in depth, followed by the application in temperature, humidity, and pressure sensors. The results show that the 4D effect results in a more porous yet more conductive film due to an increase in the charge carrier concentration, enabling an improved sensitivity of the devices and allowing us to tune the selectivity based on the shrinking percentage. The developed device was fabricated using a rapid, cost-effective technique that is independent of advanced fabrication facilities to expand its applications to low-resource settings and environments.

Lana Joharji

Lana Joharji completed her master’s degree at the SAMA Labs in the Electrical and Computer Engineering program at KAUST. She received her bachelor's degree in Electrical and Computer Engineering from King Abdulaziz University (KAU), KSA, in 2021. Her research interests include sensors, actuators, flexible and soft electronics for environmental applications. She received the KAUST Graduate Fellowship for her MS/Ph.D. program. She is a student member of the IEEE and Saudi Council of Engineers. After graduating from the SAMA labs, she joined Tufts University, USA, as a PhD student.

Fahad Alam

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Fahad Alam is currently a postdoc at SAMA lab. He received his MSc and MTech from AMU Aligarh, India, in 2009 and 2012, respectively, and PhD from IIT Kanpur, India in 2017. He worked as a Postdoc, in Khalifa University Abu Dhabi from April 2018 to March 2022. He has previously received N-PDF, India, and EU-India (IITK-University of Groningen) exchange fellowship. His research interests include 3D/4D printing and shape memory polymers.

Aljawharah Alsharif

Aljawharah Alsharif is a PhD student in Electrical and Computer Engineering and a member of the Smart, Advanced Memory Devices and Applications lab (SAMA) at King Abdullah University of Science and Technology, Saudi Arabia. She is passionate about shaping the future of wearable devices, flexible and soft electronics, sensors, and actuators through 4D/3D printing.
<> 5G (4)

Planning 5G under EMF constraints: Challenges and opportunities

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B1 L3 R3119

5G

Abstract 5G networks are currently facing the first installation steps in many countries. From a user perspective, there is a growing concern about the health impact of the ElectroMagnetic Fields (EMFs) generated by 5G. in this context, different countries in the world adopt EMF limits defined by the International Commission on Non-Ionizing Radiation Protection (ICNIRP), but many countries, including Italy, adopt much more stringent regulations, by following precautionary principles. In this talk, we will focus on the planning of 5G networks under strict EMF limits. Starting from a set of

Integrated access and backhaul for 5G and beyond

Dr. Behrooz Makki and Dr. Filip Barać

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KAUST

5G

In this talk, we review the main backhauling techniques, and present the main motivations/standardization agreements on IAB. Moreover, we present comparisons between the IAB networks and the cases where all or part of the small access points are fiber-connected.

IoT via 5G and Beyond 5G Satellite Systems

Prof. Giovanni Giambene, Information Engineering and Mathematics, University of Siena, Italy

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KAUST

One of the key drivers for next-generation mobile communications is the support of the Internet of Things (IoT), with billions of objects connected to the Internet and very low latency. The 5G technology will support the realization of smart cities, smart environments, and big data 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
<> adaptive linearizing control (4)

Dynamical Modeling, Analysis, Monitoring and Control of Wastewater Treatment Processes - Part 1B

Prof. Denis Dochain, ICTEAM, Université Catholique de Louvain

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KAUST

There are three main classes of wastewater treatment processes (WWTP’s): activated sludge, anaerobic digestion, and lagoon. The course will start to give a short introduction on these three types of WWTP’s. Each topic considered in the course will be illustrated via these three processes.

Dynamical Modeling, Analysis, Monitoring and Control of Wastewater Treatment Processes - Part 1A

Prof. Denis Dochain, ICTEAM, Université Catholique de Louvain

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KAUST

The objective of this course is to give an introduction and cover recent aspects of dynamical modeling, monitoring and control of wastewater treatment processes. There are three main classes of wastewater treatment processes (WWTP’s): activated sludge, anaerobic digestion, and lagoon. The course will start to give a short introduction on these three types of WWTP’s. Each topic considered in the course will be illustrated via these three processes.

Dynamical Modeling, Analysis, Monitoring and Control of Wastewater Treatment Processes - Part 2B

Prof. Denis Dochain, ICTEAM, Université Catholique de Louvain

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KAUST

There are three main classes of wastewater treatment processes (WWTP’s): activated sludge, anaerobic digestion, and lagoon. The course will start to give a short introduction on these three types of WWTP’s. Each topic considered in the course will be illustrated via these three processes.

Dynamical Modeling, Analysis, Monitoring and Control of Wastewater Treatment Processes - Part 2A

Prof. Denis Dochain, ICTEAM, Université Catholique de Louvain

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KAUST

There are three main classes of wastewater treatment processes (WWTP’s): activated sludge, anaerobic digestion, and lagoon. The course will start to give a short introduction on these three types of WWTP’s. Each topic considered in the course will be illustrated via these three processes.
<> Aerial Robotics (4)

KAUST’s new Robotics Bay advances the Kingdom’s robotics and AI capabilities

1 min read ·
KAUST launches the Robotics Bay — a 1,000 m² facility advancing Saudi Arabia’s robotics and AI innovation under Vision 2030.

iHunter: Empowering Autonomous UAVs for Robust, Real-Time Aerial Terget Tracking and Trajectory Prediction

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B9 L2 R2325

This talk introduces iHunter, an integrated framework for UAVs to reliably detect, track, and predict the trajectories of moving targets by fusing multi-modal perception with state estimation, employing kinematic predictors and a GRU-based neural network trained on synthetic data, and demonstrating improved tracking stability and predictive performance for aerial surveillance and target interception.

Mohammed Alwagait

Mohammed is a PhD Student in the Electrical and Computer Engineering program (ECE) at KAUST. He focuses on Reinforcement Learning Based Energy Saving Path Planning and Control for UAVs.

Yasmine Marani

Yasmine is a Ph.D. candidate in Electrical and Computer Engineering under the supervision of Prof. Eric Feron and Prof. Meriem Laleg. She specializes in control theory, robotics, and artificial intelligence. Her research focuses on estimation problems for complex nonlinear systems with application to unmanned aerial vehicles (UAV) in uncertain environments.
<> AI for healthcare (4) <> Analysis of PDE's (4)
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.

Simone Portaro

Simone Portaro is a Ph.D. Student in the Computer, Electrical, Mathematical Sciences and Engineering (CEMSE) department at the Applied Mathematics and Computational Sciences (AMCS) program under the supervision of Professor Peter Markowich at King Abdullah University of Science and Technology. Simone received his B.S. degree in Industrial Engineering from the University of Catania, Italy in 2017. In 2020, he received his M.S. degree in Mathematical Engineering from Politecnico di Torino, Italy. Research interests Nonlinear Partial Differential Equations, Analysis-Modeling of biological network

Myrto Galanopoulou

Short Bio Dr. Myrto Galanopoulou received a B.Sc. and a M.Sc. in Applied Mathematics in 2015 from the University of Crete and a Ph.D. from KAUST in 2020. During her Ph.D. studies she worked on the problem of polyconvex thermoelasticity. In September 2021 she joined the School of Mathematical And Computer Sciences, Heriot-Watt University, as a Research Associate Fellow. Dr. Galanopoulou's research interests lie in the area of analysis of partial differential equations with applications in fields as continuum physics or mechanics. Currently she is working on the mathematical theory of

Aseel AlNajjar

<> applied geometry (4)

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).

Florian Rist

Florian Rist is a Research Scientist at the Visual Computing Center (VCC) working with Professor Helmut Pottmann at KAUST. He is a founding member of the Center for Geometry and Computational Design at TU Vienna and currently holds a double affiliation as a research scientist at the Visual Computer Center at the King Abdullah University of Science and Technology and as a senior scientist at the Institute of Arts and Design at TU Vienna. He studied at TU Munich and the University of Technology Tokyo and is a licensed architect and member of the Chamber of Architects in Bavaria, Germany. Before

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
<> Asymptotic Performance Analysis (4)

Asymptotic properties of composites

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B9 L2 R2322 H1

In this talk, I will start with an overview of my research to date. Then, I will address in more detail the study of the asymptotic behavior of a two-dimensional variational model within finite crystal plasticity for high-contrast bilayered composites. More precisely, we consider materials arranged into periodically alternated thin horizontal strips of an elastically rigid component and a softer one with one active slip system. The energies arising from our modeling assumptions are of integral form, featuring linear growth and non-standard differential constraints.

Asymptotic Analysis and Numerical Methods for Compressible Flows at Low Mach Numbers

Prof. Dr. Andreas Meister, Professor, Department of Mathematics and Natural Sciences, University of Kassel

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B1 L4 R4102

We will present a comprehensive study of a finite volume method for inviscid and viscous flow fields at high and low speeds. Thereby, the results of a formal asymptotic low Mach number analysis are used to extend the validity of the numerical method from the simulation of compressible flow fields at transonic as well as supersonic speed to the low Mach number regime.

Rita A. Ferreira

Rita Ferreira is a Research Scientist at KAUST in the research group of Prof. Diogo Gomes, within the CEMSE Division. Rita received her dual Ph.D. degree in Mathematics at Carnegie Mellon University (CMU), USA, and at the New University of Lisbon (UNL), Portugal, in 2011. She was supervised by Prof. Irene Fonseca (CMU) and Prof. Luísa Mascarenhas (UNL). Before joining KAUST in 2014, Rita was a Visiting Assistant Professor at the Department of Mathematics of the Faculdade de Ciências e Tecnologia of the New University of Lisbon, Portugal, and a Postdoctoral Research Fellow at Instituto Superior

Houssem Sifaou

Houssem Sifaou is a Ph.D. candidate in Electrical Engineering, King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Laboratory (CTL). Education and Early Career Houssem Sifaou received the Engineering Degree (Hons.) in Signal and Systems from Tunisia Polytechnic School, La Marsa, Tunisia, in 2014 and the M.S. degree in Electrical Engineering from King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, in 2016. Scientific Interest Houssem Sifaou is interested in Random Matrix Theory
<> asynchronous algorithms (4)

First Provably Optimal Asynchronous SGD for Homogeneous and Heterogeneous Data

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B4/5 L0 A0215

This thesis introduces a novel framework for asynchronous first-order stochastic optimization centered on heterogeneous worker speeds that remain fast, stable, and even provably optimal.

First Provably Optimal Asynchronous SGD for Homogeneous and Heterogeneous Data

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B9 L2 R2325

This talk will discuss how to design asynchronous optimization methods that remain fast, stable, and even provably optimal.

KAUST Research Workshop on Optimization and Big Data

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B19 L3 H2

The age of "big data" is here: data of unprecedented sizes is becoming ubiquitous, which brings new challenges and new opportunities. With this comes the need to solve optimization problems of unprecedented sizes.

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
<> autonomous driving (4)

Interesting Problems in Estimation and Control on Smart Road Vehicles

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B1 L2 R4214

A number of exciting vehicle automation and active safety systems are being developed by research groups around the world. This talk focuses on novel sensors, estimation algorithms and control systems that can fill critical gaps in the automation technologies under development. The first part of this seminar describes interesting sensing and estimation solutions that can significantly improve the effectiveness of active safety systems. The second part of the seminar describes the development of a new class of narrow commuter vehicles designed to address traffic congestion, improve highway mobility and provide very high fuel economy. The final part of the seminar describes the development of a smart bicycle with instrumentation that can track trajectories of nearby vehicles on the road and provide warnings to the motorist, if a potential car-bicycle collision is detected.

Safe, Interaction-Aware Decision Making and Control for Robot Autonomy

Marco Pavone, Associate Professor, Aeronautics and Astronautics, Stanford University

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KAUST

Featured Sessions
For more information please visit the website

Diego Augusto Silva

Ali Shoker

Research Associate Professor, Computer Science
Ali Shoker, a Research Associate Professor at KAUST leading the Cyber Security and Resilience Technology lab. His research is focused on Applied Cyber Security and Resilience for real-world applications including SOC (SIEM, SOAR, XDR, IDS, IPS), Trustworthy AI, satellite systems, autonomous vehicles, fintech, Blockchain, RF Resilience, etc.
<> chaotic systems (4)

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.

Mohammed Zidan awarded IEEE Circuits and Systems Society Pre-Doctoral Fellowship

1 min read ·
Mohammed Affan Zidan, sensors lab member and Ph.D. candidate in the Electrical Engineering (EE) Program at the Computer, Electrical, and Mathematical Science and Engineering (CEMSE) Division, received the IEEE Circuits and Systems (CAS) Society Pre-Doctoral Fellowship.

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
<> complex models (4)

Reproducibility in Computer Science - Part 1

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B9 L3 R3223

Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.

Reproducibility in Computer Science - Part 2

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B9 L3 R3223

Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.

Reproducibility in Computer Science - Part 3

-

B9 L3 R3223

Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.

Extraction of Complex DNN Models: Real Threat or Boogeyman? - Graduate Seminar

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B9 L2 H2 H2

The success of deep learning in many application domains has been nothing short of dramatic. The success has brought the spotlight onto security and privacy concerns with deep learning. One of them is the threat of "model extraction": when a machine learning model is made available to customers via an inference interface, a malicious customer can use repeated queries to this interface and use the information gained to construct a surrogate model. In this talk, I will describe our work in exploring whether model extraction constitutes a realistic threat. I will also discuss possible countermeasures, focussing on deterrence mechanisms that allow for the verification of ownership of ML models.
<> Computational finance (4)
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 an worlwide 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 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 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 Hoel, H., Shaimerdenova, G. and Tempone, R., 202 2 . Multi -index ensemble Kalman filtering. Journal of Computational Physics. Hoel, H
<> Computational mathematics (4)

Theodoros Katsaounis

Research Scientist, Applied PDE Group
Short Bio Dr. Theodoros Katsaounis is a Professor of Mathematics at the University of Crete. He received his Ph.D in 1994 for the Univ. of Tennessee USA, in applied mathematics. After his postdoctoral studies in the Ecole Normale Superieure of Paris, he joined the Dept. of Applied Mathematics of Univ. of Crete, Greece as an Assistant professor in 2003. Dr. Katsaounis was a Research Scientist at KAUST from 2015 to 2020. His research interests are in the area of applied and computational mathematics. Education Profile Ph.D Mathematics, Univ. of Tennessee, USA, 1994 M.Sc. Mathematics, Univ. of

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

I am a research scientist in Computer, Electrical and Mathematical Science and Engineering Division (CEMSE) at King Abdullah University of Science and Technology (KAUST). I received a B.S. degree in Mathematical Sciences/Computer Science in 2013, and M.S. and Ph.D. degrees in Mathematical Sciences in 2015 and 2019, respectively (Advisor: Chang-Ock Lee), all from KAIST. From 2019 to 2020, I was a postdoctoral researcher in Department of Mathematical Sciences at KAIST (Mentor: Chang-Ock Lee). From 2020 to 2023, I was a research assistant professor in Natural Science Research Institute at KAIST

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 science and engineering (4)

ECRC contributions to SIAM CSE21

1 min read ·
ECRC @ SIAM CSE21! Follow us @KAUST_ECRC As in previous SIAM conferences on Parallel Processing (PP) and Computational Science and Engineering (CSE), ECRC members and their collaborators will have a strong presence at SIAM CSE21, nominally in Fort Worth, Texas, but held virtually due to the pandemic. ************************************************** SIAM CSE21 will run virtually with live sessions. ************************************************** Registration to SIAM CSE is required to gain access to the online platform and attend live sessions. Once registered, please use your personal

The Arab World Prepares the Exascale Workforce

1 min read ·
The April 2021 Communications of the ACM special section on computing in the Arab world features an article by ECRC Director and KAUST founding dean David Keyes on preparing the exascale workforce. Keyes muses on the lure of hands-on opportunities to resolve today’s application-architecture tension with innovative algorithms for recruiting students, and he follows the placement of a dozen recent ECRC doctoral students from the MENA region in the US exascale computing project and Saudi industry. For them, “graduation” means an upgrade to a more powerful computer :-). Several have also seen

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.

David Keyes

David Keyes works at the interface of computational science and engineering and high performance computing, which he helped edit into the DNA of KAUST as a founding Dean in 2009 and then as director of the Extreme Computing Research Center. He currently serves as Senior Associate to the President, Chair of the KAUST RDIA Economies of the Future committee, and delegate to the Saudi Center for the Fourth Industrial Revolution.
<> Continual Learning (4)

Andres Villa

Postdoctoral Research Fellow
Andres Villa is a Postdoctoral Fellow in the IVUL lab at King Abdullah University of Science and Technology (KAUST), focusing on AI for Science, Continual Learning, Visual Language Models, and Action Understanding.

Yasir Ghunaim

Ph.D. Student, Computer Science
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.

Habib Slim

Ph.D. Student, Computer Science
Habib Slim is a Computer Science Ph.D. candidate at the Visual Computing Center (VCC)/Vison-CAIR at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Mohamed Elhoseiny Education: M.Sc Data Science, Grenoble Institute of Technology, France, 2021 M.Eng Applied Mathematics and Computer Science, Grenoble Institute of Technology, France, 2021

Deyao Zhu

Ph.D. Student, Computer Science
Deyao Zhu is a Computer Science Ph.D. student 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 Early Career Deyao obtained his Master's degree in Electrical Engineering and Information Technology at Gottfried Wilhelm Leibniz Universität Hannover, Germany. His Master thesis is done in Max Planck Institute for Intelligent Systems which focuses on representation learning. Before that, he received his Bachelor’s degree in Mechatronics at Tongji University
<> Cross-layer protocol design (4)

Wireless Multihop Networks: Finding the Best Way Home

1 min read ·
In contrast to conventional cellular networks, devices in wireless multihop networks have dual roles: while each device is a source of information it also acts as a router for its peers.

Post-Doctoral Fellow Ahmed Bader bestowed YPs Best Innovation Award at IEEE WCNC 2017

1 min read ·
Dr. Ahmed Bader, a CEMSE Post-Doctoral Fellow in electrical engineering, won the IEEE Communications Society (ComSoc) Young Professionals (YPs) Best Innovation Award at Wireless Communications and Networking Conference 2017, in San Francisco, USA, on March 22.

Teamwork pays off at startup Insyab

1 min read ·
Insyab, a technology startup specializing in smart solutions allowing robots and drones to collaborate on the execution of common tasks, resulted from three years of its founders' dedicated research at KAUST.

Ahmed Bader

Research Scientist, Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST). Managing Director in Insyab Wireless Limited, Dubai, United Arab Emirates.
<> Cryptography (4)

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.

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.

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.
<> Cyber attacks and defenses (4)

Finding the linchpins of the dark web: Understanding and detecting malicious infrastructure

Dr. Sumayah Alrwais, Assistant Professor, King Saud University, Riyadh, KSA

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B9 L2 H1 R2322

In this talk, Sumayah will survey a number of malicious hosting infrastructures for different services and approaches to detecting them. Among them are works on an emerging trend of Bulletproof hosting services reselling infrastructure from lower-end service providers, use of residential proxy as a service to avoid server-side blocking and DNS based hosting infrastructure.

Multi-layer Red Team vs. Blue Team Methods towards Secure Cyber-Physical Energy Systems

Charalambos (Harrys) Konstantinou, Assistant Professor of Electrical and Computer Engineering with Florida A&M University and Florida State University (FAMU-FSU) College of Engineering

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B9 L2 H1

Election hacking, power grid cyber-attacks, troll farms, fake news, ransomware, and other terms have entered our daily vocabularies and are here to stay. Cybersecurity touches nearly every part of our daily lives. Most importantly, national security and economic vitality rely on a safe, resilient, and stable cyber-space. We rely on cyber-physical systems with hardware devices, software platforms, and network systems to connect, travel, communicate, power our homes, provide health care, run our economy, etc. However, cyber-threats and attacks have grown exponentially over the past years, exposing both corporate and personal data, disrupting critical operations, causing a public health and safety impact, and imposing high costs on the economy. In this talk, we will focus on cyber-physical energy systems (CPES) as the backbone of critical infrastructure, and provide a research perspective and present red team security threats, challenges, and blue team countermeasures. We will discuss recent approaches on developing low-budget targeted cyberattacks against CPES, designing resilient methods against false data, and the need for an accurate assessment environment achieved through the inclusion of hardware-in-the-loop testbeds.

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

Ilies Benhabbour

Ilies is working with professor Marc Dacier on the following subject: Fingerprinting of intra network semi active components in end-to-end communications. That is to say that we want to be able to identify components which may exist between two devices. It can be either something normal like a firewall or a proxy, but it can also be something malicious like a man in the middle attack. The project's goal will thus be to identify how we can do so, and what kind of experiments can be done over the packets to see if these semi active components exist. Another aim would be to create some code that
<> data (4) <> Deep generative models (4)

Ahmad Sait

M.S. Student, Computer Science
Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.

Generative Models for Neural Fields

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B1 L2 R2202

In computer vision, generative AI models are typically built for images, videos, and 3D objects. Recently, there has emerged a paradigm of neural fields, which unifies the representations of such types of data by parametrizing them via neural networks. In this thesis, we develop generative models for images, videos, and 3D scenes which treat the underlying data in such a form and explore the benefits which such a perspective provides.

Victor Escorcia

Research Scientist committed to innovating AI agents to empower creativity and increase productivity. Passionate about developing cutting-edge AI applications involving video understanding and creative storytelling. I have a wide range of research and engineering interests from on-device AI to General AI. Reach out!

Haozhe Liu

Ph.D. Student, Computer Science
Haozhe Liu is a PhD student at AI Initiative, King Abdullah University of Science and Technology (KAUST) under the supervision of Prof.Jürgen Schmidhuber.
<> Deep Reinforcement Learning (4)

Rising Stars in AI Symposium 2022 at KAUST

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B4 B5 A0215

Rising Stars in AI Symposium 2022 at KAUST The "Rising Stars in AI Symposium" is geared towards young researchers (including PhD students, PostDocs, young faculty) who have recently published promising work at leading venues. There will be dozens of brief in-person presentations about papers recently accepted at major AI conferences such as NeurIPS, CVPR, EMNLP, ACL, ICML, ICLR, etc. All speakers will be encouraged to start with an intro for non-AI experts. To view the complete program and for more event details, please visit the symposium website. Attend the Symposium The symposium will be

Malik Shahid Sultan

Ph.D. Student, Statistics
Malik Shahid Sultan is a Ph.D. student in Bio-Engineering ( Bioinformatics & Machine Learning) at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Hernando Ombao in the Biostatistics group. Education and Early Career Malik Shahid Sultan hold BSc. in Industrial Engineering with a Gold Medal from the University of Engineering and Technology Taxila (Pakistan). Malik holds M.Sc. from King Abdullah University of Science and Technology (KAUST) (Saudi Arabia) in Bio-Engineering (Bioinformatics & Machine Learning). During the Fall of 2021

Azimkhon Ostonov

Postdoctoral Research Fellow, Computer Science

Abeer AlAmoudi

<> diffusive phenomena (4)

Professor Peter Markowich Has Been Awarded The "John Von Neumann Visiting Chair" At The Technical University Of Munich

1 min read ·
Professor Peter Markowich has been awarded the "John Von Neumann Visiting Chair" at the Technical University of Munich. The John von Neumann Visiting Professorship allows outstanding scientists to spend a semester at the TUM Center for Mathematics.

Professor Markowich named Fellow of the Institute of Mathematics and its Applications

1 min read ·
Prof. Peter Markowich has been named a Fellow of the Institute of Mathematics and its Applications (IMA). IMA Fellowships are awarded to individuals who have shown demonstrable achievement and competence in the development or application of mathematics.

Professor Markowich elected to the European Academy of Sciences and Arts

1 min read ·
KAUST Distinguished Professor of Applied Mathematics and Computational Science Dr. Peter Markowich has been named a member of the European Academy of Sciences and Arts (EASA). He will officially be inducted as a member at the organization's annual inauguration ceremony in early 2023.

Peter Markowich

Al-Khawarzmi Distinguished Professor, Applied Mathematics and Computational Science
A distinguished professor of applied mathematics and computational science, Dr. Markowich is the author of over 200 publications in leading international journals and circa 14,000 citations.
<> Dynamic programming (4)

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.

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.

Ph.D. Student’s Research Listed in The American Journal of Transplantation’s “Top 10 Articles of 2019”

1 min read ·
Research work carried out by Michał Mańkowski, a Ph.D. student in the KAUST Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, was recently selected for inclusion by the editors of The American Journal of Transplantation (AJT) in their “Top 10 Articles of 2019.

Michal A. Mankowski

Postdoctoral Research Fellow, Computer Science
As a member of the KAUST Extensions of Dynamic Programming, Machine Learning, Discrete Optimization research group (TREES), Mankowski is currently developing an algorithmic and theoretical framework for combinatorial optimization. The application side of his research centers on healthcare analytics and operations research applied to the healthcare domain. Research Interests Dynamic programming Combinatorial optimization Complexity of algorithms​ Healthcare Analytics Education Profile Ph.D. (Computer Science), King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, 2020. M.S.
<> Electroencephalograms (4)

Omar Ahmed

M.S. Student, Bioengineering
Omar Ahmed is an MS student in the Bioengineering department at KAUST. His research explores the mechanisms that enable brain signal generalisability across individuals, addressing how neural activity patterns can be reliably interpreted despite significant inter-subject and temporal variability. A major challenge in neuroscience is that brain activity varies substantially between people and even within the same person over time, which limits the development of universal diagnostic and therapeutic tools. Towards this goal, Omar is developing deep learning models that can identify consistent
KAUST-CEMSE-CS-VISION-CAIR-Dalal-Aldossary

Dalal E. Aldossary

M.S. Student, Computer Science

Hernando Ombao

Professor, Statistics
KAUST Professor of Statistics Hernando Ombao is an expert in time series models and their applications to designed medical experiments on complex biological processes.
Portrait picture, smiling, blue Abaya, blue-brown gradient Hijab, and brown background with metal beems

Farah Abdulrazak Gomawi

Ph.D. Student, Statistics
Farah Abdulrazak Gomawi is a Ph. D. student in Statistics at the King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Hernando Ombao. Education and Early Career Farah Abdulrazak Gomawi received her Bachelor of Science in Applied Mathematics from the University of California, Los Angeles (UCLA) in the United States, with the KAUST Gifted Student Program (KGSP) scholarship in 2023. Prior to this, she was a visiting student in the Biostatistics group in the summer of 2022. Research Interest Farah's research interests include time series analysis, machine
<> electromagnetic waves (4) <> Energy-efficient wireless multihop networks (4)

Wireless Multihop Networks: Finding the Best Way Home

1 min read ·
In contrast to conventional cellular networks, devices in wireless multihop networks have dual roles: while each device is a source of information it also acts as a router for its peers.

Post-Doctoral Fellow Ahmed Bader bestowed YPs Best Innovation Award at IEEE WCNC 2017

1 min read ·
Dr. Ahmed Bader, a CEMSE Post-Doctoral Fellow in electrical engineering, won the IEEE Communications Society (ComSoc) Young Professionals (YPs) Best Innovation Award at Wireless Communications and Networking Conference 2017, in San Francisco, USA, on March 22.

Teamwork pays off at startup Insyab

1 min read ·
Insyab, a technology startup specializing in smart solutions allowing robots and drones to collaborate on the execution of common tasks, resulted from three years of its founders' dedicated research at KAUST.

Ahmed Bader

Research Scientist, Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST). Managing Director in Insyab Wireless Limited, Dubai, United Arab Emirates.
<> Estimation (4)

Yasmine Marani

Yasmine is a Ph.D. candidate in Electrical and Computer Engineering under the supervision of Prof. Eric Feron and Prof. Meriem Laleg. She specializes in control theory, robotics, and artificial intelligence. Her research focuses on estimation problems for complex nonlinear systems with application to unmanned aerial vehicles (UAV) in uncertain environments.

Mohamed Abdelwaheb Bahloul

My name is Mohamed Abdelwaheb Bahloul, native from Sfax, Tunisia. I am a Ph.D. candidate in the Computer, Electrical, and Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST). I first came to KAUST, in 2015, as an intern within the Visiting Student Research Program. Impressed with the University, its facilities, and the KAUST lifestyle, I then applied to KAUST as a master's degree student and was accepted to the electrical engineering program, electro-physics track. After graduating with my M.S. in 2017, I began my Ph.D. studies at KAUST

Asma Abdullah Sarouji

Visiting Student (former), Electrical and Computer Engineering
Research intern at King Abdullah University of Science and Technology (KAUST) under the supervision of Prof.Tareq Al-Naffouri on health project that has a significant impact on people’s lives.

Ania Adil

Postdoctoral Research Fellow, Electrical and Computer Engineering
Ania Adil is a Postdoctoral fellow at the KAUST Robotics, Intelligent Systems, and Control Lab (KAUST RISC Lab) at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Eric Feron.
<> FD-MIMO (4)

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

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.

Paving the way towards 5G wireless communication networks

1 min read ·
KAUST Ph.D. student Qurrat-Ul-Ain Nadeem received a 2018 Marconi Society Paul Baran Young Scholar Award for her work in full-dimension (FD) massive multiple input multiple output (MIMO) transmission technology.

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.
<> Fiber-optic sensors (4)

Innovative research earns Islam Ashry election as Fellow of the Institute of Physics

3 min read ·
Dr. Islam Ashry has been elected Fellow of the Institute of Physics in recognition of his impactful photonics-based research.

Juan Manuel Marin Mosquera

Ph.D. Candidate (former), Electrical and Computer Engineering
Early stage researcher focused on laying the foundations for the emerging field of Integrated Sensing and Communications (ISAC). His work aims to incorporate smart sensing solutions leveraging machine learning-aided Distributed Fiber Optic Sensing (DFOS) into the next generation of fiber-based telecommunication networks, as well as their integration into the realm of the Internet of Things (IoT).

Islam Ashry

Senior Research Scientist, Electrical and Computer Engineering
Senior Research Scientist with over 10 years of experience in optics, specializing in developing optical sensors as real-world solutions for underwater exploration, smart agriculture, and the oil and gas industry. Senior Member of the National Academy of Inventors (NAI), IEEE, and IEEE Photonics Society.
Ibrahim Al-Sayoud profile picture

Ibrahim Alsayoud

Education M.S./Ph.D. in Electrical Engineering at KAUST, Thuwal, Saudi Arabia, Jan 2021 - Present B.S. in Electrical Engineering at KFUPM, Dhahran, Saudi Arabia, Sep 2016 - Aug 2021 KAUST Affiliations Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Electrical and Computer Engineering
<> Finite element methods (4)

Finite element approximation of Stokes equations with non-smooth data

Lucia Gastaldi, Professor Department of Mathematics, University of Brescia

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B1 L4 R4102

Finite element approximation of Stokes equations with non-smooth data

Umberto Zerbinati

Steven Dufour

Steven Dufour is a Former Visiting ​Associate Professor from École Polytechnique de Montréal, at Professor Raul F. Tempone's Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Research Interests Steven's research activities revolve around the development of numerical methodologies for the modeling of free surface flows that can be found in various industrial applications. The main challenge associated with the numerical modeling of multifluid flows is to accurately locate the interfaces between each fluid. More complex flows, such as the flow of

Najwa Alshehri

Professional Interests Beyond academic and research pursuits, Najwa is deeply committed to mentoring and empowering female students to pursue careers in science and research. At KAUST, she engaged in initiatives that cultivate talent in mathematics, AI, and deep learning. Additionally, she placed significant emphasis on developing her leadership and entrepreneurial skills through specialized programs and certifications along with other trainings in Key Performance Indicators (KPI), Total Quality Management (TQM), and strategic planning.
<> generative models (4)

KAUST Workshop on Distributed Training in the Era of Large Models

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Auditorium between B4 & 5, L0, R0215

Join leading researchers and innovators to explore how distributed training is reshaping the next generation of large-scale AI models.

Mapping Properties of Neural Networks and Inverse Problems

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B1 L4 R4214

This talk will explore the injectivity and universal approximation properties of neural networks, focusing on one-to-one mappings and the approximation of probability measures using compositions of invertible flow networks and injective layers, with applications in inverse problems, imaging, and generative models.

Xiaoqian Shen

Education Xiaoqian Shen is a Master's student at Vision-CAIR group in Visual Computing Center (VCC), King Abdullah University of Science and Technology (KAUST). • 2018-2022: BSc in Computer Science & Technology Dept. of Computer Science and Technology, Jilin University, China Research Interest • My research mainly focuses on leveraging natural language to facilitate better visual representation in a low-resource setting. Work Experience • Medical relation extraction for Chinese medicine instructions, 2021, Tsinghua University, China • Self-supervised Learning for medical image segmentation

Ivan Skorokhodov

Ph.D. Student, Computer Science
Ivan Skorokhodov is a Ph.D. candidate in the Computer Science Program under the supervision of Professor Peter Wonka at Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). His research interests include such areas of deep learning as generative models, hypernetworks and neural rendering. Ivan Skorokhodov has obtained his Ph.D degree and graduated in March 2023. Education and Early Career Ivan obtained his bachelor's degree in Management from the Moscow Engineering Physics Institute in 2014. He continued his studies there and received his master's degree
<> Geometry (4)

Geometry and Computational Design

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KAUST

An important stream of research in computational design aims at digital tools which support users in realizing their design intent in a simple and intuitive way, while simultaneously taking care of key aspects of function and fabrication. Such tools are expected to shorten the product development cycle through a reduction of costly feedback loops between design, engineering and fabrication. The strong coupling between shape generation, function and fabrication is a rich source for the development of new geometric concepts, with an impact to the original applications as well as to geometric theory. This will be illustrated at hand of applications in architecture and fabrication with a mathematical focus on discrete differential geometry and geometric optimization problems.

Geometry and Computational Design of Equilibrium Structures

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B1 L3 R3119

Freeform structures play a prominent role in contemporary architecture. In order to stay within reasonable cost limits, computational shape design has to incorporate aspects of structural analysis and fabrication constraints. The talk discusses solutions to important problems in this area. They concern the design of polyhedral surfaces with nearly rectangular faces, polyhedral surfaces in static equilibrium, the smoothest visual appearance of polyhedral surfaces and the closely related problem of finding material-minimizing forms and structures. From a methodology perspective, there is an interplay of geometry, mechanics and optimization. Classical subjects such as isotropic geometry, a simple Cayley-Klein geometry, play a role as well as most recent developments in discrete differential geometry. We also show how practical requirements have led to new results and open problems in geometry.

Cohomology in fluids

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B4 L5 R5209

We present a topological analysis of the vorticity formulation in describing fluid dynamics. Despite its widespread use in fluid mechanics, this formulation is insufficient at describing fluid dynamics on a non-simply-connected domain. What is missing is an equation of motion for fluid's cohomology component, which exhibits fascinating dynamics previously under explored. Using geometric language, we derive the new equation of motion and establish new conservation laws, as Casimir invariants in Hamiltonian mechanics, for fluids on domains with general topology. Significantly, we present the first physically correct vortex method on curved surfaces with genus and boundaries.

Discrete Surfaces from Developable Strips

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B4 L5 R5209

We will discuss several settings in which smooth developable strips are attached to each other or assembled in some other way to obtain surfaces with interesting geometric properties. Driven by the view towards applications we will investigate collections of strips which lie orthogonal or tangential to a reference surface and assume particular shapes. Such strips can serve as support structures or cladding panels of free-form shapes in architectural contexts. Our focus will lie on surfaces with a constant ratio of principal curvatures, cone nets, geodesic grid shells, and others.
<> Geospatial Data (4)

Vecchia Approximations of Gaussian Processes on GPUs for Scalable Spatial Modeling and Computer Model Emulation

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B9 L2 R2325

This seminar introduces GPU-accelerated Vecchia approximations to overcome Gaussian Process computational limits, enabling scalable applications for large geospatial datasets and high-dimensional computer model emulations.

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.

A Data Science Pipeline for Big Linked Earth Observation Data

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B9 L2 H2 H2

I will present a data science pipeline which starts with Earth observation data arriving in the ground segment of a satellite mission and ends with a complete user application. I will first briefly present all the tools my group has been developing since 2010 for supporting the various stages of the pipeline. Then, I will concentrate on the recently developed system Strabo 2 which can store big geospatial data encoded in RDF and query them using the Open Geospatial Consortium standard GeoSPARQL. Strabo 2 is the only parallel and distributed RDF store available today that can manage terabytes of geospatial data efficiently.

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
<> human body communication (4) <> imaging apparatus (4)

Prof. Andrea Fratalocchi receives appreciation from Nature Publications as one of its best reviewers

1 min read ·
Prof. Andrea Fratalocchi received a letter of appreciation from the Editor-in-Chief of Nature for serving as a reviewer.

Klemens Katterbauer (PhD in Electrical Engineering) comes 2nd place at the Middle East, North Africa & South Asia SPE Student Paper contest

1 min read ·
Klemens Katterbauer (Ph.D. candidate under supervision Andrea Fratalocchi) comes 2nd place at the Middle East, North Africa & South Asia SPE Student Paper Contest.

Cancer screening advance: single point genetic mutations made visible by new optical chip

1 min read ·
The collaboration of the teams of professors Enzo Di Fabrizio and Andrea Fratalocchi at the King Abdullah University of Science and Technology (KAUST), in Saudi Arabia, has led to the development of a new device that enables the detection of mutations down to a single amino acid.

Andrea Fratalocchi

Professor Fratalocchi is a pioneer in complex systems and sustainable technologies, focused on addressing critical global challenges. His groundbreaking research has led to innovative solutions in areas such as energy harvesting, clean water production and smart materials. As a founder of the ECE program at KAUST and co-founder of Pixeltra, Professor Fratalocchi is a proven leader and entrepreneur, successfully translating his research into real-world impact.
<> innovation (4)

AI for Chips and Chips for AI

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B9 L2 R2325

This seminar presents a unified "AI for Chips & Chips for AI" approach, demonstrating how AI enhances semiconductor design while specialized silicon accelerates AI computation, creating a rapid innovation cycle.

Driving Innovation by Simulation

Dr. Emad Dlala, Vice President Powertrain, Lucid Motors Co.

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B9 L3 R3128

Dr. Emad Dlala is Vice President of Powertrain at Lucid. He is responsible for powertrain development and engineering, including batteries, drive units, and power electronics. He also leads Lucid’s systems efficiency strategy. Emad previously served as Senior Director of Efficiency and Energy Technology. Emad has been with Lucid in various technical roles since 2015 where he’s led efforts to develop breakthrough technologies that achieved unmatched range and performance in the Lucid Air. Emad brings more than two decades of engineering experience to his current leadership role. Prior to Lucid, he worked as a Senior Application Engineer at ANSYS Inc. developing cutting-edge, computer-based engineering simulation technologies. Emad holds a Ph.D. and M.Sc. in Electrical Engineering from Aalto University, Finland, and a B.Sc. in Electrical Engineering from Al-Zawiya University, Libya.

Professor Hussain’s adaptive tech for distance learning project receives $20,000 in prize funding

1 min read ·
Muhammad Hussain, KAUST professor of electrical engineering and PI of the MMH Labs, was recently chosen as one of six finalists in the KAUST Community COVID-19 Innovation Challenge. The event, organized by KAUST Innovation and Economic Development, sought to generate community-driven solutions to challenges faced during the ongoing COVID-19 pandemic.

Aigars Ekers

<> integrated optics (4)

Metasurface Based Optical Metrology Systems: Design, Fabrication, and Implementations

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B3 L5 R5209

This dissertation introduces a framework to advance optical metasurfaces from individual components to integrated optical instruments, it presents demonstrations of metrology techniques that combine machine learning and nanophotonic technologies for remote sensing that outperform methods based on conventional optics, thus advancing the next generation of optical instrumentation.

Mohammed Zahed M. Khan (EE PhD Candidate) and Dr. Boon Ooi (Professor of EE) won the Best Paper Award (Photonics Track) at the SIECP conference

1 min read ·
Mohammed Zahed M. Khan (EE PhD Candidate) and Dr. Boon Ooi (Professor of EE) won the Best Paper Award (Photonics Track) in the second SIECPC.

Mohammed Zahed Mustafa Khan

Postdoctoral Research Fellow, Photonics Laboratory
Mohammed Zahed Mustafa Khan worked as a Post-Doctoral fellow at the Photonics lab after receiving his Ph.D. degree in Electrical Engineering under the supervision of Prof. Boon Ooi from King Abdullah University of Science and Technology (KAUST). Mohammed received his Master’s degree in Electrical Engineering from King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, in 2004, and Bachelor’s degree in Electronics and Communication from Osmania University, India, in 2001. Mohammed is currently an Assistant Professor at King Fahd University of Petroleum and Minerals, Saudi Arabia

Edgars Stegenburgs

Edgars Stegenburgs joined the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division of KAUST as an MS/Ph.D. student and graduate researcher at Photonics Laboratory in January 2015. Previously he was working in the Laser Centre of the University of Latvia as a natural sciences laboratory assistant under the supervision of Dr. Aigars Ekers in the Laser-manipulation laboratory. There he developed his bachelor thesis "Formation of bright and dark states in non-degenerate quantum systems and ultra-high vacuum system design for Rb atoms magneto-optical trap" and earned the
<> Intelligent Transportation Systems (4) <> isoperimetric inequality (4)

Part 3: The isoperimetric inequality. Stability and related topics

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B1 L4 R4102

The aim of the course is to give a self contained introduction, at the level of a graduate course, to the stability of the isoperimetric inequality and other related geometric and functional inequality such as the Sobolev inequality, the Faber-Krahn and the Brunn-Minkowski inequality. Lecture 3: I will present Fuglede’s proof of the quantitative isoperimetric inequality for convex and for nearly spherical sets

Part 1: The isoperimetric inequality. Stability and related topics

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B1 L4 R4102

The aim of the course is to give a self contained introduction, at the level of a graduate course, to the stability of the isoperimetric inequality and other related geometric and functional inequality such as the Sobolev inequality, the Faber-Krahn and the Brunn-Minkowski inequality. Lecture 1: I will introduce some basic notions of the theory of sets of ignite perimeter and of geometric measure theory.

Part 2: The isoperimetric inequality. Stability and related topics

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B1 L4 R4102

The aim of the course is to give a self contained introduction, at the level of a graduate course, to the stability of the isoperimetric inequality and other related geometric and functional inequality such as the Sobolev inequality, the Faber-Krahn and the Brunn-Minkowski inequality. Lecture 2: I will present De Giorgi’s proof of the isoperimetric inequality and comment on other proofs of the isoperimetric inequality

Part 4: The isoperimetric inequality. Stability and related topics

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B1 L4 R4102

The aim of the course is to give a self contained introduction, at the level of a graduate course, to the stability of the isoperimetric inequality and other related geometric and functional inequality such as the Sobolev inequality, the Faber-Krahn and the Brunn-Minkowski inequality. Lecture 4: I will discuss the quantitative isoperimetric inequality in the general case and the quantitative form of related geometric and functional inequalities.
<> Knowledge representation and reasoning (4)

MS Thesis Defense: Description Logic EL++Embeddings with Intersectional Closure by Xi Peng

1 min read ·
Xi Peng MS Student under the supervision of Professor Robert Hoehndorf successfully defended his thesis "Description Logic EL++Embeddings with Intersectional Closure"

Xi Peng

Ph.D. Student, Computer Science
Xi Peng likes pop music and doing sports. He graduated from SUSTech in 2021 and planning to continue his academic career at KAUST under the supervision of Professor Robert Hoehndorf. "He says KAUST has the best environment to do research. Life in KAUST is also comfortable. I believe I can achieve a lot in KAUST". Research Interest applications of machine learning and logic integration in biology Education Profile B.Sc, Computer Science, Southern University of Science and Technology, Shenzhen, China, 2017-2021 M.Sc, Computer Science, King Abdullah University of Science and Technology, Thuwal

Jun Chen

Ph.D. Student, Computer Science
Jun Chen is a Ph.D. candidate in the Computer Science Program under the supervision of Professor Mohamed Elhoseiny at King Abdullah University of Science and Technology (KAUST). Education and Early Career Jun obtained his bachelor's degree in Computer Science from Xi’an Jiaotong-Liverpool University in China, 2018. He joined KAUST as a Master student under the supervision of Prof. Robert Hoehndorf and received his master's degree in Computer Science in 2019. Research Interests Jun's research interests include machine learning, artificial intelligence, natural language processing, knowledge

Fernando Patricio Zhapa-Camacho

Ph.D. Student, Computer Science
Fernando Patricio Zhapa Camacho is an M.S./Ph.D. candidate in the KAUST Bio-Ontology research group under the supervision of Professor Robert Hoehndorf. Before joining KAUST, Fernando obtained a bachelor's degree in Information Technology from Yachay Tech University, Ecuador. Research Interests Fernando’s research interests include knowledge representation and reasoning, machine learning and bioinformatics. He is interested in artificial intelligence and logic integration with applications in biology. Professional Profile: • 2020 to present: Graduate Student, KAUST, Thuwal, Saudi Arabia. •
<> linear parabolic PDEs (4)

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

-

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.

Part 2A | PDE Backstepping Boundary Control of Parabolic PDEs

Prof. Mamadou Diagne, Rensselaer Polytechnic Institute

-

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

-

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.
<> Linux (4)

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

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.

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)
<> malware (4)
Ali Hassan

Ali Hassan

Instructional Professor, Computer Science
Ali Hassan is an instructional professor in the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at KAUST.

BGP hijacks: the next generation stealthy Command and Control for botnets

Dr. Marc Dacier, Chair of the Digital Security department and a full Professor at Eurecom, France

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B9 L2 H1 R2322

Abstract It is well known that malware spreading over the Internet aim at transforming vulnerable devices into bots that can be misused by attackers. These armies of bots constitute what is commonly called "botnets" and they are given tasks (such as spamming, dosing, etc..) to do through a "command and control" infrastructure (C2C). Identifying and neutralizing these C2C has been the subject of an arms race between white and black hats for years. In this talk, we will briefly explain how C2C works and how they have been (and still are being) detected. We will then present some very strange

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.

Ali Shoker

Research Associate Professor, Computer Science
Ali Shoker, a Research Associate Professor at KAUST leading the Cyber Security and Resilience Technology lab. His research is focused on Applied Cyber Security and Resilience for real-world applications including SOC (SIEM, SOAR, XDR, IDS, IPS), Trustworthy AI, satellite systems, autonomous vehicles, fintech, Blockchain, RF Resilience, etc.
<> Massive MIMO Systems (4)
Almutasem Bellah Enad

Almutasem Bellah Enad

Visiting Researcher (former), Information Science Lab
Visiting Student, King Abdullah University of Science and Technology, Present M.Eng in Electrical and Computer Engineering, American University of Beirut, Lebanon

Next Generation Multiple Access with Cell-Free Massive MIMO

Michalis Matthaiou, Professor, Electrical Engineering and Computer Science, Queen’s University Belfast, United Kingdom

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B1 L3 R3119

This talk provides an overview of current research efforts on the CF-mMIMO systems and their promising future application scenarios.

Qurrat-Ul-Ain Nadeem

Qurrat-Ul-Ain Nadeem selected while at KAUST as one of the 2018 Marconi Society Paul Baran Young Scholars and she currently is a Postdoctoral Fellow at the School of Engineering, the University of British Columbia, Okanagan Campus, working with Professor Anas Chaaban in the Communication Theory Lab. Education and Early Career Qurrat obtained her Master of Science and Ph.D. degrees in Electrical Engineering from KAUST in June 2015 and December 2018 respectively. Before joining KAUST, she completed her Bachelor of Science degree in Electrical Engineering from Lahore University of Management

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.
<> Medical imaging (4)

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.

Meet KAUST prospective student: Juexiao Zhou

1 min read ·
Juexiao Zhou is a 21-year-old graduate from Shenzhen, China, who will join KAUST in the fall of 2020 as an M.S./Ph.D. candidate and member of the KAUST Structural and Functional Bioinformatics research group under the supervision of Professor Xin Gao.

Juexiao Zhou

Ph.D. Student, Computer Science

Islam Almasri

Islam Almasri obtained his Master's degree in Computer Science under the supervision of Professor Xin Gao at Structural and Functional Bioinformatics Group (SFB) at King Abdullah University of Science and Technology (KAUST). Currently, Islam is a Ph.D. candidate in the Computer Science program under the supervision of Prof. Nina Fedoroff. at Fedoroff Research Group. Islam is specialized in developing various software tools for solving problems in other scientific domains, including Image Processing, Medical Imaging, Chemical Networks, and Protein Structure. Selected Publications Almasri, Islam
<> Memory (4)

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.

Mohammed Zidan awarded IEEE Circuits and Systems Society Pre-Doctoral Fellowship

1 min read ·
Mohammed Affan Zidan, sensors lab member and Ph.D. candidate in the Electrical Engineering (EE) Program at the Computer, Electrical, and Mathematical Science and Engineering (CEMSE) Division, received the IEEE Circuits and Systems (CAS) Society Pre-Doctoral Fellowship.

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
<> memristors (4)

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.

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
<> microfabrication (4)
Mario Soto

Mario Soto Martinez

Ph.D. Student, Bioengineering

Ali Alrashoudi

Ali Alrashoudi holds an M.S. in Electrical Engineering from King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia (2017–2019). Specializing in the Sensing, Magnetism, and Microsystems Group, under the supervision of Prof. Jurgen Kosel. Ali earned his B.S. in Electrical Engineering from Purdue University, USA, in 2016.

Ahmed Alfadhel

Ahmed Alfadhel obtained his both MS degree and PhD degree in Electrical Engineering at the King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Jurgen Kosel. He received a bachelor's degree in electrical engineering from Rochester Institute of Technology, the US in 2010. Ahmed recently co-founded SONATE, a start-up company that manufactures high-quality smart nanomaterials for medical, electronics and energy applications. Research Interests Ahmed's research interests are in the fields of nano-engineering, wearable sensors, and magnetic micro-systems. His

Abdulrahman Aljedaibi

Electrical Engineering PhD student at CEMSE, King Abdullah University of Science and Technology (KAUST).
<> MIMO radars (4)

FMCW Radar Applications for Automotive and Biomedical Applications

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B1 L3 R3119

This dissertation enhances Frequency Modulated Continuous Wave (FMCW) radar effectiveness for automotive forward-looking Synthetic Aperture Radar (SAR) imaging and biomedical vital sign and dehydration monitoring by developing novel methodologies based on advanced signal processing, deep learning, and MIMO radar techniques.

Vijith Varma Kotte

PhD student at the Information System Lab (ISL), in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).

Taha Bouchoucha

Taha Bouchoucha was a ​MS Thesis Student at King Abdullah University of Science and Technology (KAUST).

José Maria Sosa Gómez

PhD student at KAUST leveraging machine learning and radar systems to enhance patient procedures, under the guidance of Prof. Mohamed-Slim Alouini at the Communication Theory Lab (CTL).
<> Mixed Precisions (4)

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

Mixed Feelings About Mixed Precisions: Birds of a Feather at SC22!

1 min read ·
Abstract: Come and share your experiences with the state-of-the-art of mixed-precision techniques! By wisely trading off accuracy, we can mitigate data movement overheads and increase performance of applications, including real-time adaptive optics simulations on ground-based telescopes and genome-wide association study for agricultural genomics. No free lunch, however: these optimizations require support from the software/hardware ecosystem and strong numerical validation. For instance, the tile Cholesky factorization is a fundamental matrix algorithm in solving covariance problems that

Mixed Feelings About Mixed Precisions: Birds of a Feather at SC23!

1 min read ·
Abstract What if we have been oversolving in computational science and engineering for decades? Are low precision arithmetic formats only for AI workloads? How can HPC applications exploit mixed-precision hardware features? This BoF invites the HPC community at large interested in applying mixed precisions into their workflows and discussing the impact on time-to-solution, memory footprint, data motion, and energy consumption. Experts from scientific applications/software libraries/hardware architectures will briefly provide the context on this trendy topic, share their own perspectives, and
<> ML (4)

KAUST Workshop on Distributed Training in the Era of Large Models

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Auditorium between B4 & 5, L0, R0215

Join leading researchers and innovators to explore how distributed training is reshaping the next generation of large-scale AI models.

Muhammad Samiullah

Cyber Security, FPGA security, AI/ML security

SIAM CSE21 (VIRTUAL) - Minisymposium on HPC Response to the COVID19 Pandemic

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KAUST

Abstract This minisymposium brings together experts in numerical simulation that have developed HPC software tools toward a better understanding coronavirus and the global COVID19 pandemic. Their recent results highlight the importance of computational science as a guiding tool that helps in uncovering the structure and mechanics of the viral spread as well as drastically reduces the number of candidate treatments that need laborious laboratory testing. From transformative medical advances to drug discovery driven by massively parallel supercomputing, this minisymposium will span a range of

Hamzeh Abu Qamar

MS Student, Electrical, Electronics and Communications Engineering at King Abdullah University of Science and Technology (KAUST).
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Introduction to hybrid dynamical systems: Part 1B

Prof. Mohamed Djemai, University Polytechnique Hauts-de-France

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KAUST

This research is motivated not only because the control of some systems is implemented through the combination of continuous control laws with discrete switching logic but also because a wide range of physical and engineering systems exhibit hybrid behavior. Among the problems to be addressed, those of stabilization and observation are particularly important in order to always improve the efficiency of systems in terms of performance, lifetime and efficiency.

Introduction to hybrid dynamical systems: Part 2A

Prof. Mohamed Djemai, University Polytechnique Hauts-de-France

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KAUST

In recent years, new theoretical tools have been developed to describe complex systems more precisely, such as hybrid dynamical systems (HDS). Many works ranging from modelling to stabilisation, or control and observation have focused on the study of this class of systems. This research is motivated not only because the control of some systems is implemented through the combination of continuous control laws with discrete switching logic but also because a wide range of physical and engineering systems exhibit hybrid behavior. Among the problems to be addressed, those of stabilization and observation are particularly important in order to always improve the efficiency of systems in terms of performance, lifetime and efficiency.

Introduction to hybrid dynamical systems: Part 1A

Prof. Mohamed Djemai, University Polytechnique Hauts-de-France

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KAUST

In recent years, new theoretical tools have been developed to describe complex systems more precisely, such as hybrid dynamical systems (HDS). Many works ranging from modelling to stabilisation, or control and observation have focused on the study of this class of systems.

Introduction to hybrid dynamical systems: Part 2B

Prof. Mohamed Djemai, University Polytechnique Hauts-de-France

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KAUST

This research is motivated not only because the control of some systems is implemented through the combination of continuous control laws with discrete switching logic but also because a wide range of physical and engineering systems exhibit hybrid behavior. Among the problems to be addressed, those of stabilization and observation are particularly important in order to always improve the efficiency of systems in terms of performance, lifetime and efficiency.
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InGaN-based light-emitting devices

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B9 L2 H1

III-Nitride-based light-emitting diodes (LEDs) are already commercialized for instance blue and green LEDs. It is very contributed as energy saving light source all over the world. This material is a very attractive material, capable of the emitting range is not only blue light but also UV and visible light. Moreover, application as a power device is also possible, it is one of the materials considered to lead the energy saving society in the future. Visible light LED has a wide range of applications. Visible light LED has a wide range of applications. we expect that there is some application, for instance, μ-LED display, optical communication, plant cultivation, medical treatment, and so on. In the seminar, I will talk about III-Nitride-based visible light emitting devices and introduce recent research with outstanding metalorganic chemical vapor deposition (MOCVD) growth technique.

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.

Daisuke Iida

Senior Research Scientist, Electrical and Computer Engineering
Daisuke Iida is a Senior Research Scientist at Energy Conversion Devices and Materials (ECO Devices) Laboratory in the Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE). He holds a Ph.D. in Materials Science and Engineering from Meijo University in 2011. Afterward, he held postdoctoral and visiting researcher positions at Meijo University and Technical University of Denmark. Then, he worked as an assistant professor at Tokyo University of Science from 2014 to 2017. His research interest is III-nitride semiconductors-based optoelectronic devices, especially the

Carmen Leticia Castrejon Barron

Carmen Leticia Castrejon Barron is a Ph.D. candidate at Energy Conversion Devices and Materials (ECO Devices) Laboratory under the supervision of Professor Kazuhiro Ohkawa at King Abdullah University of Science and Technology (KAUST). Education MSc, Electrical Engineering, KAUST, Saudi Arabia, 2016 ME, Education, Tec Milenio university, Chihuahua, Mexico, 2013 BSc, Electromechanical Engineering, Instituto Tecnologico de Ciudad Jimenez, 2009 Research Interests Carmen's research interests include Light sources, Solar Energy, Plant biology and Desert agriculture.
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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.

Neural Operators: Theory, Architecture, and Applications for PDEs

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B1 L3 R3119

Abstract Neural operator methods provide a novel approach for solving or learning the complex mappings from parameters to solutions arising from intricate physical systems. In this talk, I will cover the foundational aspects of neural operators, encompassing both theoretical frameworks and algorithmic developments, including some well-known neural operator architectures. Additionally, I will share our recent work on applying the neural operator method to multiscale partial differential equations (PDEs). To tackle the challenges of multiscale PDEs, we have developed a neural operator with a

Multigrid Monte Carlo Revisited: Theory and Bayesian Inference

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B1 L3 R3119

Abstract The fast simulation of Gaussian random fields plays a pivotal role in many research areas such as Uncertainty Quantification, data science and spatial statistics. In theory, it is a well understood and solved problem, but in practice the efficiency and performance of traditional sampling procedures degenerates quickly when the random field is discretised on a grid with spatial resolution going to zero. Most existing algorithms, such as Cholesky factorisation samplers, do not scale well on large-scale parallel computers. On the other hand, stationary, iterative approaches such as the

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.
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Multiphysics Simulation of Semiconductor-based Terahertz Devices

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B9 H1

Semiconductor-based terahertz (THz) devices such as photoconductive antennas (PCAs) and photomixers (PMs) are widely studied as promising candidates of THz source generation and signal detection. Recent experimental research has shown that using nanostructures in the design of these devices dramatically enhances their optical-to-THz conversion efficiency, possibly allowing their use in widespread industrial applications. However, the nanostructures also increase the complexity of design and fabrication.

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.

Liang Chen

Education Ph.D., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2012 M.S., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2009 B.S., Applied Physics, Southeast University, Nanjing, China, 2007 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and

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
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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

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).

Baha Eddine Youcef Belmekki

Postdoctoral Research Fellow, Electrical and Computer Engineering
Baha Eddine Youcef Belmekki is a Postdoctoral researcher under the supervision of Prof. Mohamed-Slim Alouini at the Communication Theory Lab in King Abdullah University of Science and Technology (KAUST). Education and Early Career Baha Eddine Youcef Belmekki received the B.S. degree in Electronics, and the M.S. degree in Wireless Communications and Networking from University of Science and Technology Houari Boumediene, Algiers, Algeria, in 2011 and 2013, respectively. He obtained his Ph.D. degrees in Wireless Communications from the National Polytechnic Institute of Toulouse, France in 2020

Ahmed Nasser Ismail

Postdoctoral Research Fellow, Electrical and Computer Engineering
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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.

Diogo Gomes

Professor Diogo Gomes, a distinguished expert in Applied Mathematics and Computational Science at KAUST, leverages advanced mathematics – including partial differential equations, numerical methods and mean-field game models – to solve complex problems in social sciences, economics and finance

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.
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Unveiling the potential of energy/entropy stable numerical methods for hyperbolic/mixed hyperbolic-parabolic PDEs

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B9 L2 H1

Abstract The demand for increasingly multidisciplinary reliable simulations, for both analysis and design optimization purposes, requires transformational advances in individual components of future PDEs solvers. At the algorithmic level, hardware compatibility and efficiency are of paramount importance in determining viability on future hardware. However, equally important (if not more so) is provable algorithmic robustness which becomes progressively more challenging to achieve as problem size and physics complexity increase. We show that rigorously designed adaptive semi- and fully-discrete

Theodoros Katsaounis

Research Scientist, Applied PDE Group
Short Bio Dr. Theodoros Katsaounis is a Professor of Mathematics at the University of Crete. He received his Ph.D in 1994 for the Univ. of Tennessee USA, in applied mathematics. After his postdoctoral studies in the Ecole Normale Superieure of Paris, he joined the Dept. of Applied Mathematics of Univ. of Crete, Greece as an Assistant professor in 2003. Dr. Katsaounis was a Research Scientist at KAUST from 2015 to 2020. His research interests are in the area of applied and computational mathematics. Education Profile Ph.D Mathematics, Univ. of Tennessee, USA, 1994 M.Sc. Mathematics, Univ. of

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

Grigorios Kounadis

Postdoctoral Research Fellow, Applied Mathematics and Computational Science
Short Bio Grigorios Kounadis is a Postdoctoral Research Fellow at the Applied PDE group of the Applied Mathematics and Computational Science program (AMCS) of CEMSE division at the King Abdullah University of Science and Technology, Saudi Arabia. He received a bachelor degree in Mathematics from National and Kapodistrian University of Athens (NKUA), Greece, in 2006, and graduated with a Ph.D degree in Applied Mathematics from NKUA in 2020. He joined KAUST and the Applied PDE group in March 2021. Grigorios' research interests lie in the area of numerical analysis and scientific computing
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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.

Yiyang Yu

Mahmoud Nafe

Mahmoud Nafe obtained his Master's 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, Mahmoud is a PhD student at the University of California Irvine​. Research Interests Mahmoud's research interests included Negative Refractive Index Metamaterial Structures for superlensing and Design of efficient On-Chip Antennas. Education Profile B.Sc. (With Highest Honors), Faculty of Information Engineering and

Haoran Zhang

Haoran Zhang is a Ph.D. student in the Electrical Engineering department at Integrated Microwaves Packaging Antennas & Circuit Technology Research Group under the supervision of Professor Atif Shamim at King Abdullah University of Science and Technology (KAUST). Research Interests Millimeter-wave on-chip antenna design and Radio Frequency Integrated Circuits (RFIC)​ design 5G Array Antenna in Package design Education Profile Bachelor of Engineering in Electrical Engineering, University of Electronics of Science and Technology, China (2013 - 2017).
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Bio-Hackathon MENA 2023

Bio-Hackathon MENA 2023

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KAUST Hotel

Bioinformatics experts, Don’t miss the opportunity to collaborate with researchers and field professionals in the BioHackathonMENA2023 event. BioHackathon events involve a large number of people that meet on-site to discuss ideas and implement projects in a collaborative manner during intensive coding sessions.

​PhenomeNET method wins at Ontology matching workshop

1 min read ·
CBRC congratulates Professor Robert Hoehndorf and Postdoctoral Fellow Miguel Angel Rodriguez Garcia for being one of the winners of the Ontology Alignment Evaluation Initiative challenge sponsored by Pistoia Alliance, presented in the Ontology Matching Workshop that is co-located with ISWC 2016 in Kobe, Japan.

CBRC goes to ECCB 2018

1 min read ·
The European Conference on Computational Biology (ECCB) is one of the most important conferences in the field of bioinformatics and computational biology. Held in a different European city annually, this year's conference will take place in the historic city of Athens, Greece on September 8-12, 2018.

BORG team win at the KAUST-NVIDIA GPU Hackathon 2022

1 min read ·
Congratulations to Senay Kafkas, Maxat Kulmanov and Fernando Zhapa Camacho of the Bio-Ontology Research Group (BORG) on winning at the KAUST-NVIDIA GPU Hackathon 2022. The 8th edition of the Hackathon on Accelerating Scientific Applications using Graphical Processing Units (GPUs) was held at King Abdullah University of Science and Technology (KAUST), twelve teams of students and researchers enjoyed the opportunity to accelerate their codes in GPU’s under the guidance of expert mentors of NVIDIA, Codee, KAUST Supercomputing Lab (KSL) and KAUST core labs.