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<> Multigrid (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.

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.
<> nanostructures (4)

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
<> NOMA (4)

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
<> nonlinear models (4)

Mathematical Design and Analysis of Iterative Methods for Linear and Nonlinear Problems

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B1 L3 R3119

This talk presents a systematic approach to the design and analysis of iterative methods for solving linear and nonlinear problems.

Deterministic particle approximation for nonlinear transport equations

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Building L3 R3119

Approximating the solution to an evolutionary partial differential equation by a set of "moving particles" has several advantages. It validates the use of a continuity equation in an "individuals-based" modeling setting, it provides a link between Lagrangian and Eulerian description, and it defines a "natural" numerical approach to those equations. I will describe recent rigorous results in that context. The main one deals with one-dimensional scalar conservation laws with nonnegative initial data, for which we prove that the a suitably designed "follow-the-leader" particle scheme approximates entropy solutions in the sense of Kruzkov in the many particle limit. Said result represents a new way to solve scalar conservation laws with bounded and integrable initial data. The same method applies to second order traffic flow models, to nonlocal transport equations, and to the Hughes model for pedestrian movements.

A novel design of antenna array developed by KAUST scientists

1 min read ·
At the sensors lab, Prof. K.N. Salama and Prof. A. Shamim led a team of KAUST founding masters students Farhan Abdul Ghaffar and Muhammad Umair Khalid to develop an aperture coupled patch antenna array SoP.

Khaled Salama

Professor Salama is a prominent leader in the development of intelligent sensors, biosensors and very large-scale integration (VLSI) architectures for bioimaging and instrumentation. He is one of the founders of the Electrical and Computer Engineering (ECE) Program at KAUST.
<> nonlinear PDEs (4)

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.
<> numerical methods for PDE's (4)

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
<> on-chip antennas (4)

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).
<> ontology (4)

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.
<> optical wireless communicaitons (4)

Ultraviolet band based underwater wireless optical communication

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KAUST

Underwater wireless optical communication (UWOC) has attracted increasing interest for data transfer in various underwater activities, due to its order-of-magnitude higher bandwidth compared to conventional acoustic and radio-frequency (RF) technologies. Our studies pave the way for eventual applications of UWOC by relieving the strict requirements on PAT using UV-based NLOS. Such modality is much sought-after for implementing robust, secure, and high-speed UWOC links in harsh oceanic environments. This work was first started with the investigation of proper NLOS configurations. Path loss (PL) was chosen as a figure-of-merit for link performance. The effects of NLOS geometries, water turbidity, and transmission wavelength are evaluated by measuring the corresponding PL. The experimental results suggest that NLOS UWOC links are favorable for smaller azimuth angles, stronger water turbidity, and shorter transmission wavelength, as exemplified by the use of 375-nm wavelength. With the understanding of favorable NLOS UWOC configurations, we established a NLOS link consisting of an ultraviolet (UV) laser as the transmitter for enhanced light scattering and high sensitivity photomultiplier tube (PMT) as the receiver. A high data rate of 85 Mbit/s using on-off keying (OOK) in a 30-cm emulated highly turbid harbor water is demonstrated. Besides the underwater communication links, UV-based NLOS is also appealing to be the signal carrier for direct communication across wavy water-air interface. The trial results indicate link stability, which alleviates the issues brought about by the misalignment and mobility in harsh environments, paving the way towards real applications.

Xiaobin Sun

Xiaobin Sun is a Ph.D. student at Photonics Laboratory under the supervision of Professor Boon Ooi at King Abdullah University of Science and Technology (KAUST). Research Interests Sun's research interests include Semiconductor Optoelectronic device, Optical communication, including underwater optical wireless communications, visible-light communications. Invited Talks: Visible diode lasers for high bitrate underwater wireless optical communications Boon S. Ooi, Xiaobin Sun, Omar Alkhazragi, Yujian Guo, Tien Khee Ng, Mohamed-Slim Alouini Optical Fiber Communication Conference, M3I. 1 (OFC 2019

Shuaishuai Guo

Postdoctoral Research Fellow, Electrical and Computer Engineering
Shuaishuai Guo is a Postdoctoral Fellow with Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alumni in the Communication Theory Laboratory. Education and Early Career Shuaishuai Guo received the B.E and Ph.D. degrees in communication and information systems from the School of Information Science and Engineering, Shandong University, Jinan, China, in 2011 and 2017, respectively. During 2016-2017, he visited the University of Tennessee at Chattanooga (UTC) as a visiting scholar

Omar Alkhazragi

Introduction Omar Alkhazragi received the degree of Bachelor of Science in Electrical Engineering in 2018 from King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, and a master’s degree in electrophysics in 2019 from King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. He is now an electrophysics Ph.D. student in the Photonics Laboratory at KAUST. The primary focus of his research is on optoelectronic devices fabrication and applications, including optical and quantum communication. Research Interests Photonics and optoelectronics Semiconductor
<> organic electronics (4)

Organic Electronics for Diagnostics in Physiological Media

Prof. Sahika Inal, Biological, Environmental Science and Engineering, KAUST

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B9 L2 H1

Organic mixed (ionic and electronic) charge conductors and devices offer a new toolbox for interfacing with biological systems.

Sahika Inal

Associate Professor, Bioengineering
Professor Sahika Inal's research bridges the fields of organic electronics and biology, focusing on the development of bioelectronic materials for real-time health monitoring and intervention.

Jokubas Surgailis

Research Interest Jokūbas is currently investigating mixed conduction in organic semiconductors. Using combined electrochemical characterization methods, he aims to advance the understanding of ion-to-electron coupling. Along with his background in Electrical Engineering, Jokūbas plans to use this research to push the frontier of interfacing the two halves of Bioelectronics. KAUST Affiliations ​Biological and Environmental 
Science & Engineering Division (BESE) Education Profile 2018 - 2024: PhD student, Organic Bioelectronics Lab, KAUST, Thuwal, Saudi Arabia 2017: Visiting student, Organic

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
<> photonic crystals (4)

Lights up for chaotic storage

1 min read ·
Chaotic optical resonators can trap more light energy than their orderly counterparts.

Ph.D. student Valerio Mazzone wins best paper award

1 min read ·
Valerio Mazzone, a Ph.D. student in the Primalight group based in the University's Computer, Electrical and Mathematical Science and Engineering Division (CEMSE), was awarded the best paper award at the 9th International Conference on Metamaterials, Photonic Crystals and Plasmonics (META).

Yanlong Xu

Postdoctoral Research Fellow, Waves in Complex Media
Postdoc October 2013-April 2015 Ph.D. Xi’an Jiaotong University, China 2013​ Research Interests ​Phononic Crystals​ Selected Publications Y.L. Xu, X.G. Tian, C.Q. Chen. Band structures of two dimensional solid/air hierarchical phononic crystals. Physica B-Condensed Matter, 2012, 407：1995-2001. Y.L. Xu, C.Q. Chen. X.G. Tian. Existence of simultaneous bragg and locally resonant band gaps in composite phononic crystal. Chinese Physics Letters, 2013, 30(4):044301. Y.L. Xu, C.Q. Chen. X.G. Tian. Phonon-polariton and band structure of electro-magneto-acoustic SH wave propagation oblique to the

Yan Li

Visiting Student, Waves in Complex Media
​Visiting Student, April 2012 - July 2012 Introduction ​Yan Li is currently a PhD candidate at South China University of Technology. She worked on linear dispersions for classical waves when she visited us from April 2012 to July 2012. Research Interests water waves, photonic crystals
<> physical simulation (4)

Robust Geometry Processing for Physical Simulation

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B4 L5 R5209

I will discuss the limitations of the current state of the art, and present a proposal for an integrated pipeline, considering data acquisition, meshing, basis design, and numerical optimization as a single challenge, where tradeoffs can be made between different phases to increase automation and efficiency. I will demonstrate that this integrated approach offers many advantages, while opening exciting new geometry processing challenges, and that a fully opaque meshing and analysis solution is already possible for heat transfer and elasticity problems with contact. I will present a set of applications enabled by this approach in reinforcement learning for robotics, force measurements in biology, shape design in mechanical engineering, stress estimation in biomechanics, and simulation of deformable objects in graphics.

Torsten Hadrich

Ph.D. Student, Computer Science
Torsten Hadrich is a Ph.D. candidate at Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Dominik Michels in Computational Sciences Group (CSG). Education and Early Career Torsten Hadrich obtained his bachelor degree in Computer Science and Media from Stuttgart Media University in Germany in 2010. After that, he received his master degree in Information Engineering from the University of Konstanz in Germany in 2014. Torsten started his career life early in 2002. He was an IT Specialist for Application

Han Shao

Han Shao is a Ph.D. candidate at Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Dominik Michels in Computational Sciences Group (CSG). Education and Early Career Han Shao obtained his bachelor degree in Theoretical and Applied Mechanics from The University of Science and Technology of China (USTC) in Hefei, China in 2014. After that, he joined KAUST and received his master degree in Mechanical Engineering in 2015. Research Interest Han is investigating the combustion phenomenon using CFD tools. For now

Daoming Liu

Postdoctoral Research Fellow, Computer Science
Daoming Liu is a Postdoctoral Research Fellow working with Professor Helmut Pottmann at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). Education and Early Career Daoming Liu obtained his Ph.D. degree from the University of Chinese Academy of Sciences (UCAS). During his Ph.D., he spent one year at TUDelft as a visiting doctoral student. Before joining VCC/KAUST, he worked at ShanghaiTech University as a Research Assistant Professor. Research Interest Daoming Liu’s research was focused on physical simulation, geometric computing and their
<> point cloud (4)

Point cloud and volume data reconstruction and visualization

Dr. Ciril Bohak, Postdoctoral Researcher, Faculty of Computer and Information Science, University of Ljubljana, Slovenia

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B1 L2

Abstract Our ongoing research on the reconstruction of aerial point cloud data includes reconstructing the parts of the data that are not captured by the airplane mounted LiDAR system due to the shadowing effect and lack of reflections. We are developing methods for reconstructing (1) building walls, (2) reconstruction of bridges and underlying terrain; (3) reconstruction of water surfaces of lakes and rivers, and (4) reconstruction of terrain overhangs. In all the cases we are merging the point cloud data with cadaster data or digital terrain model data for filling the gaps in the point cloud

Gordon Guocheng Qian

Guocheng Qian is currently working towards an MS/Ph.D. degree in the Department of Computer Science at King Abdullah University of Science and Technology (KAUST). He is part of the Image and Video Understanding Lab (IVUL), supervised by Prof. Bernard Ghanem. During his Ph.D. studies, he interned at several leading institutions including Snap Research, Meta Reality Lab, and MEGVII research. His primary research interest lies in 3D vision. Education and Early Career Guocheng obtained his bachelor's degree in Engineering with first-class honors from Xi’an Jiaotong University (XJTU) in China in

Ciril Bohak

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

Ali Thabet

Ali Thabet is a Research Scientist at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST), working with Professor Bernard Ghanem in the Image and Video Understanding Laboratory (IVUL). Education and Early Career Ali obtained a bachelor of engineering degree in Electrical Engineering, from the American University of Beirut in Beirut, Lebanon in 2006. He holds a ​Ph.D. in Computer Science from the University of Dundee in Dundee, UK. He joined KAUST as a Postdoctoral Fellow in the Visual Computing Center (VCC) from 2012 to 2014. After that, he worked as
<> printed electronics (4)

Weiwei Li

Weiwei Li is a Postdoctoral Fellow working under the supervision of Professor Atif Shamim at Integrated Microwaves Packaging Antennas and Circuits Technology (IMPACT) Research Group in King Abdullah University of Science and Technology (KAUST). Research Interests ​Weiwei's research interests include Ink formulation, Printed electronics, Electromagnetic metamaterials, and Diodes. Education Profile Ph.D. in Nanoscience and Technology, National Center for Nanoscience and Technology, Chinese Academy of Sciences, 2013-2017. M.S. in Materials Physics and Chemistry, Beijing Institute of Graphic

Nidhi Mishra

Nidhi Mishra worked as a Researcher at Integrated Microwaves Packaging Antennas & Circuit Technology (IMPACT) Research Group at King Abdullah University of Science and Technology (KAUST). Research Interests Nidhi's research interests included ​Printed electronics, Antennas, and Microwave circuits. Education Profile Bachelor's in Electronics and Instrumentation, M.J.P. Rohi​lkhand University​​, India. Master's in Digital Communication, Uttarakhand Technical University, India.

Derya Baran

Derya Baran is a leading researcher in organic and hybrid semiconductors, focusing on their applications in solar cells, thermoelectrics, and bio-electronics, with an emphasis on interface engineering and sustainable, solution-processable materials.

Dante Serrano Kobylyansky

Dante Serrano Kobylyansky is an MS student in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST), conducting research within the Integrated Microwaves Packaging Antennas & Circuit Technology Research Group under the supervision of Professor Atif Shamim. Educational Profile Dante obtained his bachelor's degree in Nanotechnology from the National Autonomous University of Mexico in June 2023. He joined KAUST as an Electrical and Computer Engineering student with the Integrated Microwaves Packaging Antennas & Circuit Technology (IMPACT) Research Group
<> Programming language (4)

Nizar Ajeeb

Full Time Researcher Full at King Abdullah University of Science and Technology.

Houcem Ben Salem

Intern (former), Information Science Lab
Research Intern at KAUST(King Abdullah University of Science and Technology) .

AMCS Workshop for Higher Education Instructors

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KAUST Campus

Workshop's Agenda View Workshop's Agenda. Topics for the event: Core sessions on Linear Algebra Core sessions on applications on emerging teaching methodologies Programming language (practical applications) Keynote lectures on emerging teaching methodologies and current research applications Core lab and research center visits and presentations Networking sessions and social activities with KAUST faculty, researchers, alumni, and students This workshop is for TAs and lecturers from in-Kingdom Universities. It is not open to KAUST students and the community. Applications are closed now!

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).
<> proteins (4) <> Quantitative finance (4)

Christian Bayer

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

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.

Junshu Jiang

Ph.D. Student, Statistics
hello world

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
<> recommender systems (4)

Representation Learning for Personalized Recommendation

Prof. Xiangliang Zhang

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B9 L2 H1 R2322

Abstract Recommender systems have already been successfully used in e-commerce industry and have been influencing our daily lives. We may all have got (personalized) recommendation of news, music, movies, videos, books, restaurants, hotels, etc. This talk will introduce the recent research in my group about promoting personalized recommendation by learning representations for users/objects to recommend. Examples of applications will be given for recommendation of the next movie to watch, the interesting research papers to read, the useful datasets to explore, and interesting places to visit

Machine Learning Models for Context Aware Recommendation Systems

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B3 L5 R5209

The goal of this thesis is to pave the way towards the next generation of recommendation systems tackling such real-world challenges to improve the user experience while giving good recommendations.

Tak Man Desmond Lee

Tak Man Desmond Lee obtained his Master's degree in Computer Science under the supervision of Professor Xiangliang Zhang at Machine Intelligence and kNowledge Engineering (MINE) Laboratory at King Abdullah University of Science and Technology (KAUST). First employment: Saudi Aramco, 2011​. Research Interests Tak Man's research interests included ​Recommender systems​. Selected Publications Xiangliang Zhang, Tak Man Desmond Lee, Georgios Pitsilis, " Securing Recommender Systems against Shilling Attacks Using Social-based Clustering". Journal of Computer Science and Technology, Springer, vol.28

Basmah Altaf

Basmah Altaf obtained her Ph.D. degree in Computer Science under the supervision of Prof. Xiangliang Zhang at Machine Intelligence and kNowledge Engineering (MINE) Laboratory in King Abdullah University of Science and Technology (KAUST). Research Interests​​ Basmah's research interests include Recommender systems and Data mining​. Education Profile ​B. E., Computer & Information Systems, N.E.D. University of Engineering and Technology, Karachi, Pakistan, 2010. M. S., Computer Science, KAUST, 2013. Awards and Distinctions ​'Gold Medal' for securing '1st Position' among 140 students in Bachelor
<> renewable energy integration (4)
KAUST-CEMSE-ECE-PhD-Dissertation-Defense-Otavio-Jose-Dezem-Bertozzi-Junior

Modeling, Analysis, and Control for Planning and Operation of Modern Mixed-Generation Power Systems

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B5, L5, R5209

This dissertation presents an interpretable framework for modeling, planning, and control of mixed-generation power systems, integrating ternary stability-aware planning, reinforcement learning-based control tuning, and data-driven stability forecasting to bridge analytical models with real-time operation in converter-dominated grids.

Tutorial: Pathway to Wide and Ultrawide Bandgap Semiconductor Power Electronics - Session 1

Prof. Biplab Sarkar, ECE, Indian Institute of Technology

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B3 L5 R5220

In this talk, Dr. Sarkar will introduce the history and concepts of power semiconductor devices. A special emphasis will be laid on understanding the power semiconductor device-design keeping the applications in perspective. Apart from covering traditional power electronic devices, Dr. Sarkar will also introduce emerging (ultra)wide power semiconductor devices that are expected to occupy a large market share, and their challenges. The core concepts will be thoroughly discussed with the help of examples and interactive discussions.

Tutorial: Pathway to Wide and Ultrawide Bandgap Semiconductor Power Electronics - Session 2

Prof. Biplab Sarkar, ECE, Indian Institute of Technology

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B3 L5 R5220

In this talk, Dr. Sarkar will introduce the history and concepts of power semiconductor devices. A special emphasis will be laid on understanding the power semiconductor device-design keeping the applications in perspective. Apart from covering traditional power electronic devices, Dr. Sarkar will also introduce emerging (ultra)wide power semiconductor devices that are expected to occupy a large market share, and their challenges. The core concepts will be thoroughly discussed with the help of examples and interactive discussions.

Energy Flexible Manufacturing

Emeka Chukwureh, Customer Flexibility Solutions, an innovation implementation unit at ENOWA, NEOM

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B9 L2 H2

A 100% renewable-based power system requires higher energy flexibility than conventional grids. ENOWA is developing an Energy Flexible Manufacturing Design Service in collaboration with OXAGON’s Advanced and Clean Manufacturing.
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Research at the Image and Video Understanding Lab (IVUL) - Graduate Seminar - ECE

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KAUST

In this talk, I will give an overview of research done in the Image and Video Understanding Lab (IVUL) at KAUST. At IVUL, we work on topics that are important to the computer vision (CV) and machine learning (ML) communities, with emphasis on three research themes: Theme 1 (Video Understanding): We aim to extract meaningful semantic information from large-scale video data by tackling research problems such as object tracking, activity detection, moment retrieval, and language grounding in video. Theme 2 (Visual Computing for Automated Navigation): We develop methodology to enable more accurate, reliable, and robust perception of the visual world for automated navigation applications (e.g. self-driving cars and UAVs). In this theme, we tackle research problems such as object tracking, segmentation, and detection in 3D data, as well as transfer learning from simulation (sim2real). Theme 3 (Fundamentals/Foundations): In this theme, we tackle fundamental research problems in CV and ML that transcend specific applications with focus on deep network theory/analysis (e.g. robustness, certification, and interpretability) and structured optimization methods for large-scale CV/ML problems. Throughout the talk, I will highlight some of the interesting projects at IVUL to encourage students to get interested in the research field.

Aerospace Systems Research at KAUST, an uplifting experience

-

KAUST

Aerospace Engineering is the source of much dreaming and worrying in most people's imagination. As such, it constitutes a marvelous support for the development and application of numerous disciplines, chief among them are aerodynamics, structures, flight and orbital mechanics. With time however, information technologies are progressively becoming the costliest activity within the aerospace engineering systems design phase. Indeed, they stand as the core elements of avionics systems, airline operations, air traffic control, spacecraft engineering, and planetary exploration, among others. Such subjects have been bringing much joy and teaching many lessons to your speaker for the past 30 years and will keep doing so, hopefully, for the next three decades.

A shock to the system

1 min read ·
The global, multifarious challenge posed by the COVID-19 pandemic has scientists tapping their wide-ranging fields of expertise to attack the problem on many fronts. Answering the call from KAUST President Tony Chan, and coordinated by the University's leadership team, KAUST researchers making up the Rapid Research Response Team (R3T) are turning this crisis into an opportunity to innovate.

Researchers use lasers to bring the Internet under the sea

1 min read ·
Communicating underwater has always been a hassle. Radio transmissions, the ubiquitous wireless standard above the waves, can't transmit very far before being entirely absorbed by the water. Acoustic transmissions (think sonar) are the preferred choice underwater, but they suffer from very low data rates. Wouldn't it be nice if we could all just have Wi-Fi underwater instead?
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Resilient Computing: when Dependability meets Cybersecurity

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B9 L2 H2 R2325

Computing and communications infrastructures have become commodities that transact huge quantities of data and are pervasively interconnected, inside countries, and worldwide. Modern societies largely depend on them.

Defeating the attacks from bots scrapers hiding behind residential proxy IPs

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B9 L2 R2322 H1

This talks presents a very serious emerging threat: the bots scraping web sites and hiding their IPs thanks to residential IP providers. The problem, state of the art and a new solution will be explained.

Ziwu Liu

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

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.
<> Resource allocation (4)

Zheng Shi

Zheng Shi was a ​Visiting Student in the CTL from University of Macau (UM). Selected Publications ​ M.S. Thesis Z. Shi, “Research on the Technology of Radio Resource Management in Heterogeneous Wireless Networks,” College of Communication and Information System Engineering, Nanjing University of Posts and Telecommunications (NJUPT), Nanjing, China, Jun. 2013. Journal Publications (CITATION FORMAT OF PUBLISHED PAPERS) 1. Z. Shi, H. Ding, S. Ma, K.-W. Tam, "Analysis of HARQ-IR over Time-Correlated Rayleigh Fading Channels,'' IEEE Transactions on Wireless Communications, vol.14, no.12, pp.7096

Ismail AlQerm

Ismail AlQerm obtained his Ph.D. degree in Computer Science under the supervision of Professor Basem Shihada at King Abdullah University of Science and Technology (KAUST). Currently, he is working as a Post-Doctorate Fellow at the University of Missouri-St. Louis, USA. Research Interests Ismail's research interests included Cognitive radios, Resource Allocation, Machine Learning, Cellular Networks, and HetNets. Thesis title: Novel Machine Learning-Based Techniques for Efficient Resource Allocation in Next Generation Wireless Networks. Academic Advisors Basem Shihada, Professor, Computer

Asmaa Abdallah

Abdallah Al-Moubayed

MS Degree , Computer, Electrical and Mathematical Sciences and Engineering ,King Abdullah University of Science and Technology (KAUST) .Now Abdallah is Visiting Student to (KAUST)
<> seismic imaging (4)

Superior seismic imaging for better drilling

1 min read ·
Software could transform underground imaging of fossil fuel reserves by providing unprecedented detail in record time.

Code of collaboration

1 min read ·
David Keyes's and Matteo Ravasi's cross-disciplinary project results in improved efficiency for seismic processing, with promising applications for the energy industry.

Long Qu

Dr. Long Qu is a Research Scientist at the Extreme Computing Research Center at KAUST, working with Prof. David E. Keyes and Dr. Hatem Ltaief. Research Interests Long Qu's research interests include seismic imaging and high performance computing on heterogeneous hardware architectures.

Kadir Akbudak

Dr. Kadir Akbudak is a Consultant at Extreme Computing Research Center at KAUST, working with Professor David E. Keyes and Dr. Hatem Ltaief. Research Interests Kadir Akbudak's research interests include Combinatorial scientific computing, Graph and hypergraph partitioning, Locality-aware partitioning and scheduling, High performance kernels for sparse computations, Vectorization for irregular applications, Iterative numerical methods and Parallel numerical algorithms. Education Profile Ph.D., Computer Engineering, Bilkent University, 2015. M.S., Computer Engineering, Bilkent University, 2009
<> Semantic web (4)

Neuro-symbolic methods for Semantic Web ontologies

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B9 L2 H2 H2

Semantic Web ontologies are widely used to provide a conceptual schema for sharing and integrating data and knowledge using a logic-based language. The content of ontologies may also be used to provide background knowledge in machine learning models or provide domain-specific constraints that can be verified automatically and used for zero-shot predictions. The combination of embedding symbolic representations (such as ontologies) and extracting symbolic representations from the embeddings are two main components of neuro-symbolic AI systems. I will introduce methods for embedding Semantic Web ontologies and outline some of the properties of the embeddings that relate to model and proof theory.

Maxat Kulmanov defends his thesis proposal

1 min read ·
Maxat Kulmanov, a Ph.D. candidate under the supervision of Assistant Professor Robert Hoehndorf, defended his thesis proposal on July 31, 2018.

Maxat Kulmanov

Research Scientist, Bio-Ontology Research Group
Maxat Kulmanov is a Research Scientist in the Bio-Ontology Research Group at King Abdullah University of Science and Technology (KAUST). Research Interests Maxat's research interests include bioinformatics, knowledge representation and reasoning, machine learning, neural networks, semantic web, and algorithms. He is interested in knowledge discovery and data integration using artificial intelligence and semantic web technologies in biology and biomedicine. Professional Profile 2020-Present: Postdoctoral Research Fellow, Computational Bioscience Research Center, King Abdullah University of

Adil Salhi

Adil Salhi is a Research Engineer at Prof. Xin Gao's Structural and Functional Bioinformatics Group (SFB) at King Abdullah University of Science and Technology (KAUST). Adil obtained his Ph.D. degree in Computer Science from the University of Manchester, UK. Research Interests Adil's research interests lie in the area of data and text mining of biomedical literature. The extraction of new information from disparate structured data sources, or available information buried in free-form text, requires the deployment of a wide array of tools to overcome the challenges posed by the nature and size
<> semiconductor laser (4) <> Sensing (4)

Apala Banerjee

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Apala Banerjee is a Postdoctoral Researcher in the Integrated Microwaves Packaging Antennas and Circuits Technology (IMPACT) Research Group at King Abdullah University of Science and Technology (KAUST) led by Professor Atif Shamim.

MXenes for Electronic and Sensing Applications

Professor Husam Alshareef, Material Science and Engineering, KAUST

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KAUST

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

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

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KAUST

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

Anas Saleh Mohammed

Visiting Student (former), Electrical and Computer Engineering
Visiting student at King Abdullah University of Science and Technology (KAUST).
<> Smart Cities (4) <> software (4)

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).

Vulnerability discovery in binaries and protocols

Prof. Sven Dietrich, the Computer Science Department, Hunter College, the City University of New York (CUNY)

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B5 L5 R5209

Vulnerability discovery can be challenging: many software packages, both open and closed-source projects, build on existing code from public software repositories to network drives, derived from earlier versions or related software packages. Even implemented protocols rely on such repositories. It is important to detect such copies of code when the original code contains a software vulnerability, especially one that is exploitable, as seen with flaws such as the bash vulnerability Shellshock or the SSL vulnerability Heartbleed.

Efficient Computation Through Tuned Approximation

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B9 L2 R2322 H1

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

Efficient Machine Learning across Hardware, Software, and Algorithms

-

B2 L5 R5209

Deep neural networks (DNNs) are revolutionizing computing, necessitating an integrated approach across the computing stack to optimize efficiency. In this talk, I will explore the frontier of DNN optimization, spanning algorithms, software, and hardware. We'll start with hardware-aware neural architecture search, demonstrating how tailoring DNN architectures to specific hardware can drastically enhance performance.
<> solid-state lighting (4)

Fabrication and Characterization of GaN-Based Superluminescent Diode for Solid-State Lighting and Visible Light Communication

-

KAUST

This dissertation is devoted to the fabrication and electrical and optical characterization of a new class of III-nitride light-emitter known as superluminescent diode (SLD). SLD works in an amplified spontaneous emission (ASE) regime, and it combines several advantages from both LD and LED, such as droop-free, speckle-free, low-spatial coherence, broader emission, high-optical power, and directional beam. Here, SLDs were fabricated by a focused ion beam by tilting the front facet of the waveguide to suppress the lasing mode. They showed a high-power of 474 mW on c-plane GaN-substrate with a large spectral bandwidth of 6.5 nm at an optical power of 105 mW. To generate SLD-based white light, a YAG-phosphor-plate was integrated, and a CRI of 85.1 and CCT of 3392 K were measured. For the VLC link, SLD showed record high-data rates of 1.45 Gbps and 3.4 Gbps by OOK and DMT modulation schemes, respectively. Additionally, a widely single- and dual-wavelength tunability were designed using SLD-based external cavity (SLD-EC) configuration for a tunable blue laser source.

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

Jian Wei Liang

Jian-Wei Liang has joined the Ph.D. program in Electrical Engineering at Photonics Lab at King Abdullah University of Science and Technology (KAUST) in fall 2016. He graduated from the chemistry department at National Cheng Kung University (NCKU), Taiwan in 2013 and then received his master's degree in chemistry from NCKU in 2015. In the duration of his master's education, he also worked as a teaching assistant in a basic chemistry experiment course. At present, he is concentrating on new material for UV LEDs in Photonics Lab under the supervision of Prof. Ooi. Research Interests Jian-Wei's

Abdullah A. Alatawi

Abdullah Alatawi is a Ph.D. student at Photonics Laboratory at King Abdullah University of Science and Technology (KAUST). His research interests include the study of semiconductor lasers, LEDs, and SLDs for applications in energy-efficient lighting and visible light communications. He received his master of science in optical nanotechnology engineering from the University of Kassel in Germany (2014). The topic of his thesis covers the investigation and improvement of VCSEL devices. He received his B.SC in Aerospace Engineering from King Fahad University of Petroleum and Minerals (KFUPM) in
<> spatio-temporal data analysis (4)

Geospatial Data Science for Public Health Surveillance

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B9 L2 R2325

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

Spatio-Temporal Data Analysis by Transformed Gaussian Processes

Yuan Yan, PhD Student of Prof. Marc Genton, KAUST

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B2 L5 R5220

In the analysis of spatio-temporal data, statistical inference based on the assumption that the data follow a Gaussian distribution is ubiquitous due to its many attractive properties. However, data collected from different fields of science, such as meteorology, astronomy, biology and medicine, rarely meet the assumption of Gaussianity. One option is to apply a monotonic transformation to the data such that the transformed data have a distribution that is close to Gaussian. In this thesis, we focus on a flexible two-parameter family of transformations, the Tukey g-and-h (TGH) transformation

Ruiman Zhong

Ph.D. Student, Statistics
Ruiman is a Ph.D. candidate in Statistics at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Paula Moraga in her Geospatial Statistics and Health Surveillance Research Group. Before joining KAUST, Ruiman obtained her Master's Degree in Statistics (August 2020) from Katholieke Universiteit Leuven, Belgium. Her research interests include spatial and spatial-temporal data modeling.

Marc G. Genton

Al-Khawarzmi Distinguished Professor, Statistics
Professor Genton’s pioneering research on large-scale spatial and temporal data has profoundly affected the field of environmental statistics. He is an expert in spatial and spatio-temporal statistics with applications to environmental problems.
<> Spectral Analysis (4)

A shock to the system

1 min read ·
The global, multifarious challenge posed by the COVID-19 pandemic has scientists tapping their wide-ranging fields of expertise to attack the problem on many fronts. Answering the call from KAUST President Tony Chan, and coordinated by the University's leadership team, KAUST researchers making up the Rapid Research Response Team (R3T) are turning this crisis into an opportunity to innovate.

Mara Sherlin Talento

Ph.D. Student, Statistics
We do not gain confidence through measuring what we know, but through quantifying how much we do not know. Mara Sherlin Talento is a PhD student in the Biostatistics group of King Abdullah University of Science and Technology, under the supervision of Prof. Hernando Ombao. She finished her Master’s degree in University of the Philippines and served the chairperson of Young Statisticians Committee of the International Statistical Institute during 2020 – 2023. She is also a member of American Statistical Association and International Biometric Society.

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
<> Spintronics (4)

Meng Tang

Meng Tang’s research focuses on the physics and applications of spintronics, with an emphasis on the experimental exploration of spin-orbit torque phenomena and their applications in developing new types of information storage and processing devices. His work aims to contribute to the advancement of information technology with ultra-low power consumption.

Divyanshu

Divyanshu, a PhD candidate in Electrical and Computer Engineering at KAUST, focuses on spin-controlled devices for hardware security primitives.

PhD Student Hanan Mohammed wins PATW Competition

1 min read ·
Student wins the IET Saudi Arabia Young Professionals PATW Competition 2014/15.

Hanan Mohammed

​ Hanan Mohammed obtained her Ph.D. in Electrical Engineering at the King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Jurgen Kosel. Education Profile Ph.D., Electrical Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia 2018. M.Sc, Nanoscale Science & Technology, University of Leeds, United Kingdom 2012. B.Sc, Physics, University of Calicut, Kerala, India, 2010. Selected Publications Mohammed, Hanan, et al. "Magnetotransport measurements of domain wall propagation in individual multisegmented cylindrical nanowires."
<> statistical inference (4)

High-dimensional Q-learning for Dynamic Treatment Regimes

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B3 L5 R5220

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

Transparent and Robust Causal Inference in Data Science

Carlos Cinelli, Ph.D. candidate, Department of Statistics, UCLA

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KAUST

The past few decades have witnessed rapid and unprecedented theoretical progress in the science of causal inference, ranging from the “credibility revolution” with the popularization of quasi-experimental designs, to the development of a complete solution to non-parametric identification with causal graphical models. Most of these theoretical progress, however, relies on strong, exact assumptions, such as the absence of unobserved common causes, or the absence of certain direct effects. Unfortunately, more often than not these assumptions are very hard to defend in practice. This leads to two undesirable consequences for applied quantitative work in the data-intensive sciences: (i) important research questions may be neglected, simply because they do not exactly match the requirements of current methods; or, (ii) researchers may succumb to making the required “identification assumptions” simply to justify the use of available methods, but not because these assumptions are truly believed (or understood). In this talk, I will discuss new theories, methods, and software for permitting causal inferences under more flexible and realistic settings. These tools empower scientists, and policymakers to both examine the sensitivity of causal inferences to violations of its underlying assumptions, and also to draw robust and trustworthy conclusions from settings in which traditional methods fail.

Kelvin J. R. Almeida-Sousa

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

Alexandre de Bustamante Simas

Senior Research Scientist, Statistics
Alexandre Simas is an expert on stochastic processes and spatial statistics, with a focus on stochastic partial differential equations and random fields on metric graphs.
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KAUST climate research named finalist for ADIA Lab Climate Data Sciences Award

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

Recent developments for stochastic processes and their applications

Ahmed Kebaier, Associate Professor, Laboratory Analysis, Geometry and Application (LAGA), University Sorbonne Paris Nord (USPN)

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KAUST

In this talk, we present our theoretical results recently developed around various types of applications. These results cover asymptotic and non-asymptotic analysis, functional limit theorems, concentration inequalities, and Malliavin calculus techniques elaborated for several classes of stochastic processes. We showcase through concrete examples the role of these results in taking up various challenges at the cutting-edge of modern applied probability.

Particle Approximations For Partially Observed Fluid Dynamics Models

Professor Dan Crisan, Mathematics, Imperial College London

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KAUST

Fluid dynamics models are ubiquitous in a multitude of applications. One of the most important applications of fluid dynamics models is numerical weather prediction. Modern numerical weather prediction combines sophisticated nonlinear fluid dynamics models with increasingly accurate high-dimensional data. This process is called data assimilation and it is performed every day at all major operational weather centers across the world. Data assimilation (DA) requires massive computing capabilities as realistic atmosphere-ocean models typically have billions of degrees of freedom. I will give a short overview of the ongoing research that aims to drastically decrease the required DA computational effort by reducing the dimension of the models involved and using stochastic perturbations to account for the unresolved scales. The incorporation of observation data is done by using particle approximations suitably adapted to solve high-dimensional problems.

Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation

Nikolas Kantas, Associate Professor, Department of Mathematics, Imperial College London

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KAUST

We consider the problem of parameter estimation for a McKean stochastic differential equation, and the associated system of weakly interacting particles. The problem is motivated by many applications in areas such as neuroscience, social sciences (opinion dynamics, cooperative behaviours), financial mathematics, statistical physics. We will first survey some model properties related to propagation of chaos and ergodicity and then move on to discuss the problem of parameter estimation both in offline and on-line settings. In the on-line case, we propose an online estimator, which evolves according to a continuous-time stochastic gradient descent algorithm on the asymptotic log-likelihood of the interacting particle system. The talk will present our convergence results and then show some numerical results for two examples, a linear mean field model and a stochastic opinion dynamics model. This is joint work with Louis Sharrock, Panos Parpas and Greg Pavliotis. Preprint: https://arxiv.org/abs/2106.13751
<> stochastic algorithm (4)
Stochastic Numerics and Statistical Learning Workshop

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2025

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Auditorium 0215 between B2 & B3

Explore the latest in stochastic algorithms, statistical learning and optimization at KAUST’s Stochastic Numerics and Statistical Learning Workshop 2025.

Stochastic Optimization in Target Positioning and Location-based Applications

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KAUST

This event has been postponed from 20th July to 27th July. Stochastic optimization refers to the minimization/maximization of an objective function in the presence of randomness. The randomness may appear in objective functions, constraints, or optimization methods. It has the advantage of dealing with uncertainties that deterministic optimizers cannot solve or cannot solve efficiently. In this work, we discuss the implementation of stochastic optimization methods in solving target positioning problems and tackling key issues in location-based applications.

Proximal Algorithms for Large-Scale Convex Non-smooth Optimization

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B2 L5 R5220

Convex nonsmooth optimization problems, whose solutions live in very high dimensional spaces, have become ubiquitous. To solve them, the class of iterative fixed-point algorithms known as proximal splitting algorithms is particularly adequate: they consist of simple operations, handling the terms in the objective function separately. I will present a selection of recent primal-dual algorithms within a unified framework, which consists in solving monotone inclusions with well-chosen spaces and metrics.

Slavomir Hanzely

Slavomir Hanzely is an MS/Ph.D. student in the Applied Mathematics and Computational Science Program under the supervision of Professor Peter Richtarik at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Slavomir earned his Bachelor's Degree in Informatics with a background in both Mathematics and Computer Science from the Faculty of Mathematics, Physics and Informatics University (FMPH UK), Slovakia in 2019. Research Interest He is interested in Machine Learning, Federated Learning, and Stochastic Algorithms. Education
<> stochastic algorithms (4)

Christian Bayer

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

Applied Mathematics School 2024

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

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2023

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

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B9

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

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024

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

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B2 B3 A0215

We are excited to announce the upcoming Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024, taking place at KAUST, Auditorium 0215 b/w B4&5, from May 19-30, 2024. Following the highly successful last two years edition, this year's workshop promises to be another engaging and insightful event for researchers, faculty members, and students interested in stochastic algorithms, statistical learning, optimization, and approximation. The 2024 workshop aims to build on the achievements of last year's event, which featured 30 talks, two mini-courses, and two poster sessions, attracting over 150 participants from various universities and research institutes. In 2022 and 2023, attendees had the opportunity to learn from through insightful talks, interactive mini-courses, and vibrant poster sessions. This year, the workshop will once again showcase contributions that offer mathematical foundations for algorithmic analysis or highlight relevant applications. Confirmed speakers include renowned experts from institutions such as Ecole Polytechnique, EPFL, Université Pierre et Marie Curie - Paris VI, CUHK Shenzhen, and Imperial College London, among others.
<> stochastic partial differential equations (4)

Building bridges between mathematical statistics and real-world impact

4 min read ·
A research journey that connects statistical theory with the complexity of real-world systems.
Simon Nik

Simon Nik

Postdoctoral Research Fellow, Statistics
Simon obtained his PhD in 2024 from Helmut-Schmidt-University Hamburg, Germany, with a thesis entitled " Stochastic modeling and statistical analyses of non-negative data and times series". He is now a postdoctoral researcher at the King Abdullah University of Science and Technology (KAUST), working in the XSTAT group under Prof. Raphaël Huser's supervision. Education and Early Career Simon obtained his PhD in 2024 from Helmut-Schmidt-University Hamburg, Germany. He joined KAUST as a postdoc in December 2024. Research interests Simon's current research interests focus primarily on extreme

Elsiddig Awadelkarim Elsiddig

Postdoctoral Research Fellow, Statistics

David Bolin

Professor, Statistics
David Bolin is an expert on stochastic processes, random fields and spatial statistics. His main research focus is on stochastic partial differential equations and their applications in statistics.
<> Systems (4)

Aerospace Systems Research at KAUST, an uplifting experience

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KAUST

Aerospace Engineering is the source of much dreaming and worrying in most people's imagination. As such, it constitutes a marvelous support for the development and application of numerous disciplines, chief among them are aerodynamics, structures, flight and orbital mechanics. With time however, information technologies are progressively becoming the costliest activity within the aerospace engineering systems design phase. Indeed, they stand as the core elements of avionics systems, airline operations, air traffic control, spacecraft engineering, and planetary exploration, among others. Such subjects have been bringing much joy and teaching many lessons to your speaker for the past 30 years and will keep doing so, hopefully, for the next three decades.

Mechatronics: Synergy throughout Systems

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KAUST

Actuators, electric vehicles, renewable energy systems, oil rigs and smart cities are all examples of complex systems that have evolved over time to better address societal needs. Mechatronics, the synergistic integration of electrical, mechanical and computing, has powered this evolution and enabled higher power density actuators, increased hosting of renewable energy in power grids, improved drilling efficiency and responsive cities. In this talk, I will share research highlights from the Mechatronics and Energy Systems Research Group (MERGE) to demonstrate value creation through engineered synergies.

A novel structure preserving scheme for Schrondiger-Poisson systems.

Dr. Th. Katsaounis

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B2 L5 R5220

In this talk I will present a new structure preserving, second order in time relaxation-type scheme for approximating solutions of the Schrodinger-Poisson system. We use the Crank-Nicolson scheme as a time-stepping mechanism, whilst the nonlinearity is handled by means of a relaxation approach. For the spatial discretisation we use the standard conforming finite element scheme. The resulting scheme is explicit with respect to the nonlinearity, i.e. it requires the solution of a linear system for each time-step, and satisfies discrete versions of the system’s mass conservation and energy balance laws for constant discretization parameters.

On some nonlinear elliptic/parabolic systems arising in mechanics and turbulence

Prof. Luigi Carlo Berselli

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B2 L5 R5220

I consider the vector counterpart of the classical p-Laplace and p-heat equations which are some of the building blocks for the mathematical description of non-linear plasticity, non-Newtonian fluids, and turbulent eddy viscosity models. I will discuss results of “natural regularity” and their role in the study of the well-posedness of the nonlinear pdes as well as in the theory of convergence for space-time discretisation methods. In particular, I will present the “A-approximation" method which generalises results by Necas and which reduces the problem to a family of linear ones. Coffee Time: 15:30 - 16:00
<> telecommunication (4)

Mhd. Emad Alolaby

An Overview of 6G Requirements and Potential Enabling Technologies – A Mobile Network Operator's Perspective

Dr. Youssouf Ould Cheikh Mouhamedou, Technology Alliances and Partnership Supervisor, Saudi Telecom Company (STC)

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B1 L3 R3119

The success of 5G from business perspective (creation of revenue and growth) will have a big say on the future shape of 6G. In fact, 5G standard is still evolving with new 3GPP releases issued periodically, leading to 5G-Advanced and possibly 5G-Advanced Pro in coming years. Also, 5G ecosystem is still at a relatively early stage of development. However, all major players (researchers, vendors, mobile network operators, regulators) have already started their 6G activities in line with the tradition of having G+ every 10 years. This talk is about 6G, taking into consideration mobile network operator's point of view in terms of practical and economic issues. It will provide an overview of mobile networks evolution, from 1G to 6G. It will also discuss the gap between 5G vision and 5G reality and the reasons behind it. Further, 6G key requirements as well as a tentative roadmap and timeline will be presented. Finally, some potential enabling technologies will be discussed.

Meet KAUST prospective student: Sahar Ammar

1 min read ·
Sahar Ammar will join KAUST this fall as a M.S./Ph.D. candidate and member of the Networking Research Lab and Communication Theory Lab under the co-supervision of Professor Basem Shihada and Professor Mohamed-Slim Alouini. The multidisciplinary engineering graduate will join the University from Tunisia Polytechnic School (TPS).

Haoyu Tong

Ph.D. Student, Photonics Laboratory
PhD Student haoyu.tong@kaust.edu.sa | Download CV Introduction Haoyu TONG received his Master of Engineering degree in Institut d'Optique Graduate School of University Paris Saclay, France, in 2023, and his Bachelor's degree in Huazhong University of Science and Technology, Wuhan, China, in 2021. He received his second Master's degree in optical networks and photonics system (M2 ROSP) from University Paris Saclay and Institut Polytechnique de Paris, in 2023. Haoyu TONG is a Ph.D student in the Photonics Laboratory at Division of Computer, Electrical and Mathematical Sciences & Engineering
<> Time Scale Approach (4)

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

-

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

-

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.
<> UAV-enabled Communication Systems (4)

Ultra-Dense LEO Satellite-based Communication Systems: A Novel Modelling Technique

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B1 L3 R3119

In this talk, we discuss a recently proposed mathematical framework that enables tractable analysis of LEO satellite-enabled communication systems while capturing the influence of satellites’ numbers and altitudes as well as the spatial distribution of earth stations. Firstly, we describe how the stochastic geometry-based framework is modeled and discuss its accuracy. Next, we provide a detailed example of where this framework can be used for coverage analysis. Furthermore, we discuss how this framework can be used to study routing and end-to-end latency analysis in such networks. Realistic values from existing constellations, such as OneWeb and Starlink, are further used as case studies in this talk.

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

Mustafa Kishk

Postdoctoral Research Fellow, Electrical and Computer Engineering
Mustafa Kishk is a Postdoctoral Research Fellow under the supervision of Prof. Slim Alouini at the Communication Theory Lab in King Abdullah University of Science and Technology (KAUST). Education and Early Career Mustafa Kishk received his Ph.D. in Electrical Engineering from the Bradley department of Electrical and Computer Engineering at Virginia Tech under the supervision of Prof. Harpreet Dhillon in 2018. He received his B.Sc. and M.S. degree in Electronics and Electrical Communications Engineering from Cairo University, Egypt, in 2013 and 2015 respectively. Research Interest Mustafa’s

Mohamed Amine Lahmeri

Mohamed-Amine Lahmeri 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 Mohamed-Amine Lahmeri joined the best engineering school in Tunisia, "Ecole Polytechnique de Tunisie (EPT)", in 2019 after being ranked among the top 2% at the Tunisian national contest for entrance to engineering schools. During his graduation project, he joined KAUST as a visiting student and got enrolled in the Visiting Student Research Program (VSRP) that is
<> Underwater communication (4)

Laser lighting and its application in visible light communications

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B9 L2 R2322

This talk provides an overview of the latest laser-based lighting and Gbit/s VLC and underwater communications. Recent progress of visible wavelength high-speed transmitters and receivers will also be discussed.

Meet KAUST prospective student: Bárbara Nicoly M. Oliveira

1 min read ·
Bárbara Nicoly M. Oliveira is an electrical engineering graduate from the Federal University of Campina Grande, Brazil. Bárbara will join KAUST this fall as a M.S./Ph.D. candidate and member of the Photonics Laboratory under the supervision of Professor Boon Ooi.

Majed Alshamrani

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

Bárbara Nicoly M. Oliveira

Bárbara Nicoly M. Oliveira is a M.S./Ph.D. candidate and member of the KAUST Photonics Laboratory under the supervision of Professor Boon Ooi. Before joining KAUST, Bárbara obtained a bachelor's degree in electrical engineering from the Federal University of Campina Grande, Brazil. Eralier, Barbara Nicoly M. Oliveira has been a visiting student in Sensing, Magnetism, and Microsystems group under the supervision of Prof. Jurgen Kosel. Research Interests Bárbara's research interests lie in the field of underwater communication through light-based technologies. Education Profile B.Sc. Electrical
<> University of Jyvaskyla in Finland (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.
<> wastewater treatment (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

-

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.
<> Wave functional materials (4)

Homogenization and Wave Functional Materials

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B9 L2 R2325

In this talk, I will give a brief review on the progress from on homogenization and its impact on achieving unusual wave functional materials, such as zero-index materials in which the effective refractive index is vanishing.

Waves Functional Materials - 2019-09-15

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B9 L2 H1 R2322

Wave functional materials are artificial materials that can control wave propagation as wished. In this talk, I will give a brief review of the progress of wave functional materials and reveal the secret behind the engineering of these materials to achieve desired properties.

Waves Functional Materials: From theory to applications

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B9 L2 R2322

No abstract is available.

Waves Functional Materials - 2023-09-03

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B9 L2 H2

I will introduce the development of effective medium and deep learning models, two distinct methods in the design of metamaterials, followed by some illustrative examples demonstrating the intriguing properties, such as redirection, emission rate enhancement, wave steering, and cloaking.
<> Wearable (4)

New tech detects dehydration by touching a screen

1 min read ·
A smartphone-style sensor reads moisture levels in skin, offering a low-cost way to monitor health during fasting, exercise or everyday life.

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

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KAUST

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

The raw power of human motion

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

Broadening horizons for people with quadriplegia

1 min read ·
An assistive technology uses magnetic skin to support freedom of movement for people with quadriplegia.
<> wearable technology (4)

High Specificity Microwave Wearable Biosensors for Remote Health Monitoring

-

B2/3 L0 R0215

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

KAUST developed fish wearable technology wins CES Innovation Award

1 min read ·
A pioneering tagging technology developed at King Abdullah University of Science and Technology (KAUST) won the CES Innovation Award 2020. KAUST professor of electrical engineering Muhammad Mustafa Hussain developed Bluefin, which is a fish wearable technology that can measure water temperature, pressure, depth and pH levels in parts of the ocean where humans cannot reach. The highly competitive CES Award is prestigious and a powerful endorsement to a research project done at the labs of KAUST, which is strategically located on the shores of the Red Sea. "A heavily resourced university like

MMH Labs named 2020 Edison Awards Gold Winner

1 min read ·
The KAUST MMH Labs were recently named a 2020 Edison Awards Gold Winner in the Consumer Electronics and Information Technology category for their wearable technology tagging prototype, Bluefin.
HeadShot-Firas

Firas Fatani

Firas Fatani is an electrical engineer and researcher specializing in wireless sensing technologies, flexible electronics, and intelligent systems. His work focuses on advancing the design and integration of low-cost, battery-free, and printed microwave devices for health, environmental, and industrial monitoring applications. He is particularly interested in bridging electromagnetic design, material science, and data intelligence to develop innovative sensing platforms that enable smarter and more connected systems.
<> weather (4) <> web development (4)

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.

Mashail Alwadi

Mashail Alwadi is the Student Internship Specialist at the Computer, Elecrtical and Mathematical Sciences (CEMSE) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Mashail earned her Bachelor's Degree in Management Information Systems from Yanbu University College (YUC) in Yanbu Industrial City. She graduated with First Class Honors in 2013. Education Profile B. S. in Management Information Systems, Yanbu University College, 2013

Janara Beiseeva

Basit Olakunle Alawode

Visiting student at King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.
<> Wireless power transfer (4)

Wireless Powered Communications in the Era of 6G

Ioannis Krikidis, Associate Professor, Electrical and Computer Engineering, University of Cyprus

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B1 L4 R4214

We discuss the principles of WPC and we highlight its main network architectures as well as the fundamental trade-off between information and energy transfer. By following a bottom-up cross-layer approach, several examples, that deal with the fundamentals of WPC as well as its integration in modern communication systems, are presented. Specifically, we deal with circuit models for WPT, information-theoretic limits, signal processing aspects and waveform design, and system-level analysis by using stochastic geometry tools. Future research directions and challenges are also pointed out.

Tarek Mostafa

Research Interests ​Since my undergraduate studies, power systems and electronics was and still is the core of most of my researches and projects. Professional Profile 2018 – Present: Researcher, Computer, Electrical, Mathematical Sciences and Engineering (CEMSE) Division and ANPERC member at KAUST Thuwal, Saudi Arabia 2015 – 2018: PhD Student at Green Asia in Kyushu University, Japan. 2017: Internee at Power Electronics lab of the Univ. of Auckland, New Zealand 2013 –2015: Master Student at Green Asia in Kyushu University, Japan. 2014: Trainee at SunEdison Japan Company, Tokyo, Japan. 2013

Malik Almunif

Researcher at King Abdulaziz City for Science and Technology in the Center of Excellence for Microwave Sensor Technology.

Angsagan Abdigazy

Adel Dabah was a ​Visiting Student in the CTL. Education ​B.S. in Electrical Engineering and Computer Science, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea (September 2015 - Current). Publications LinkedIn Education Profile ​B.S. in Electrical Engineering and Computer Science, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea (September 2015 - Current).
<> ​CFD (4)

PCCFD - Predictive Complex Computational Fluid Dynamics

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B9 L2 H1

The PCCFD workshop will focus on cutting-edge research in the field of algorithmic development for CFD and multi-scale complex flow simulations.

Space-time conservation element and solution element (CESE) method for computational fluid dynamics

Hua Shen

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B9 L2 H1

Space-time conservation element and solution element (CESE) method is a unique finite-volume-type method for computational fluid dynamics (CFD). This approach has several attractive properties, including: (i) unified treatment of the space and time such that only one step is required to construct high-order schemes; (ii) a highly compact stencil regardless of the order of the accuracy; (iii) easiness of extension to any arbitrary shape of polygonal elements. Since its inception, the CESE method has achieved great success in different areas.

Johannes Schneider

Research Scientist, Modelling and Simulation
Johannes Schneider was a consultant working with Professor Gabriel Wittum. His research focused on modeling and simulation of biogas plants. Education Profile Master in Electrical Engineering, Goethe University Frankfurt, Germany Diploma in Engineering Areas of Expertise and Research Interests Potential emissions from biogas-sludge storage tanks

Diego Rojas Blanco

Diego Rojas is a Ph.D. candidate in Earth Science & Engineering. He is studying under the supervision of Professor Matteo Parsani. Diego works on the development of entropy stable algorithms for the simulation of turbulent flow. Algorithms of this kind have new and exciting properties related to the reliability and scalability of our simulations so that we can use the power of modern supercomputers to simulate fluid flow problems to higher resolution. Research Interest Diego Rojas research interest include Computational Fluid Dynamics (CFD), Scientific Visualization, and High Performance
<> 6g wireless systems (3)

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

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B3 L5 R5209

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

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

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

Hayssam Dahrouj

Senior Research Scientist at KAUST (King Abdullah University of Science and Technology)
<> acoustic signal detection (3)

Magneto-Acoustic Resonator for Aquatic Animal Tracking

1 min read ·
Abdullah S. Almansouri, et al., "Magneto-Acoustic Resonator for Aquatic Animal Tracking" IEEE Transactions on Magnetics 55 (2), 2019, 1. Over the past three decades, passive acoustic telemetry has significantly helped marine scientist to study and understand the spatial ecology, migratory behaviors, and mortality rates of aquatic animals. A popular telemetry system consists of two components: an acoustic transmitter tag attached to an aquatic animal and powered by a small battery, and a stationary station that receives the acoustic signals from the tagged animal and determines its location

Tarig Ballal Khidir Ahmed

Research Scientist Laboratory for Nanomedicine, Computational Bioscience Research Center King Abdullah University of Science and Technology | 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 .
<> acoustic waves (3)

Manipulating Magnetization with Acoustic Waves

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B9 L2 H1

In this seminar, I will present our work on manipulating magnetization with acoustic waves. The temporally and spatially varying strain in acoustic waves produces a corresponding change in the local anisotropy of magnetostrictive materials through the Villari effect. This magneto-acoustic coupling may be used for patterning magnetic films and for nonlinear signal processing such as amplification and correlation of spin waves. I will discuss our experiments and results towards these application possibilities, and also present the techniques we have developed to characterize magnetostriction.

Controlling acoustic wave propagation via rotational motion

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B9 L2 H2 H2

Propagation of acoustic waves in time-varying and/or moving media has attracted a lot of attentions and is expected to lead to many intriguing applications. In this talk, I will discuss our recent work on acoustic wave propagation in spinning media (air or water). I will start with a review of the theoretical foundation built upon the Mie scattering framework, in which both the wave equation and the boundary conditions will be specifically discussed. The study is limited in the linear regime and exhibit the peculiar scattering features.

Tunable sound transmission shapes up

1 min read ·
Carefully designed crystal structures can now be tuned to control how they transmit acoustic waves.
<> adaptive control (3)

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.

Samet Guler

Postdoctoral Research Fellow, Electrical and Computer Engineering
Samet Güler (M’16) received the B.S. degree in electrical and electronics engineering from Eskisehir Osmangazi University, Turkey, in 2010, the M.S. degree in electrical and electronics engineering from Bilkent University, Turkey, in 2012, and the Ph.D. degree in mechanical and mechatronics engineering from University of Waterloo, Waterloo, ON, Canada, in 2015. He worked as a short term Researcher at the University of Waterloo in 2016. He is currently a Postdoctoral Fellow at the Robotics, Intelligent Systems and Control Lab in King Abdullah University of Science and Technology, Kingdom of

Mohamad T. Shahab

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education 2020, PhD in Electrical and Computer Engineering, University of Waterloo 2015, MSc in Systems Engineering, KFUPM 2007, BSc in Control & Instrumentation Systems Engineering, KFUPM Professional Profile 2020 - Present, Postdoctoral Fellow, RISC Lab, KAUST 2016 - 2020, Research/Teaching Assistant, University of Waterloo 2012 - 2015, Research Engineer, Baker Hughes 2007 - 2011, Research/Teaching Assistant, KFUPM Selected Publications O. Wali, M.T. Shahab, E. Feron, "A Non-planar Assembly of Modular Tetrahedral-shaped Aerial Robots", 2023 IEEE International Conference on Robotics and
<> Adaptive filtering (3)

Qasim Zeeshan Ahmed

Postdoctoral Research Fellow, Communication Theory Lab
Qasim Zeeshan Ahmednow is a lecturer in University of Kent , Medway and Tonbridge, UK. Selected Publications Ph.D. Thesis: Q. Z. Ahmed, "Adaptive Detection in Ultrawide Bandwidth Wireless Communication Systems," Communications, Signal Processing and Control Group (CSPC), University of Southampton, Southampton, UK, Jun. 2009. Journal Publications: Q. Z. Ahmed, M. -S. Alouini, and S. Aissa, “Bit error-rate minimizing detector for amplify and forward relaying systems using generalized Gaussian kernel,” To appear in IEEE Signal Processing Letters. Q. Z. Ahmed and L. -L. Yang, “Reduced-rank

Alam Zaib

Research Intern at King Abdullah University of Science and Technology (KAUST) ,Assistant Professor / COMSATS institute of information technology, Abbottabad.

Abdulrahman Abuzaid

Abdulrahman Abuzaid graduated from KAUST with an MS degree in electrical engineering in 2014. He joined Saudi Aramco as an engineer. Abdulrahman's research interests are Adaptive Filtering, Cooperative Communications, and Software-Defined Networking. Education Profile ​M.S. in Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia (September 2012 - 2014). B.Sc. in Electrical Engineering, University of Jordan, Amman, Jordan (September 2007 – January 2012).
<> Adaptive Optics (3)

KAUST’s eye-inspired imaging approach wins Best Paper Award at SIGGRAPH Asia 2025

3 min read ·
Fovea Stacking rethinks camera design by combining localized optical correction with computational reconstruction.

Gyan Deep Verma

Postdoctoral Research Fellow, Electrical and Computer Engineering
Gyan Deep verma works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Gyan Deep Verma received his B.Tech. degree in Electronics Engineering from Harcourt Butler Technological Institute, Kanpur, Uttar Pradesh, India, in 2015, and his M.Tech. degree in Communication Systems Engineering from the Indian Institute of Technology (IIT) Patna, Bihar, India, in

Congli Wang

Congli Wang 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 Congli Wang obtained his bachelor of engineering in Electrical Engineering from Tianjin University in China in 2015. After that, he joined KAUST and received his master degree in Electrical Engineering in 2016. Research Interest Congli is focusing in his research on Wavefront Sensing, Adaptive Optics, Computational Imaging and Computational Photography. He is working on
<> aeroacoustics (3)

Luca Galimberti

Luca is a Ph.D. candidate in Applied Mathematics at KAUST, he focuses on the development of numerical methods for aeroacoustics and aerodynamics of aeronautical applications.

Radouan Boukharfane

Postdoctoral Research Fellow, Applied Mathematics and Computational Science
Radouan Boukharfane joined Extreme Computing Research Center (ECRC) at King Abdullah University of Science & Technology (KAUST) as a postdoctoral fellow in 2019. He is working with Professor Matteo Parsani his research group. Prior to this, he spent a year as a Postdoctoral Research Fellow in the Department of Aerodynamics, Energetics and Propulsion (DAEP) of the National Higher French Institute of Aeronautics and Space (ISAE-SUPAERO) in Toulouse (France). Education and Early Career Dr. Boukharfane received a joint MSc. (2014) from Department of mechanical engineering at Ecole Polytechnique of
KAUST-CEMSE-Matteo-Parsani

Matteo Parsani

Professor Parsani develops robust, variable order and self-adaptive algorithms for solving fluid flow problems in complex geometries. The application domains currently driving Parsani's research are compressible computational aerodynamics, computational aeroacoustics for noise reduction in vehicles and molecular communication.
<> Aerospace (3)

Aerospace Systems Research at KAUST, an uplifting experience

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KAUST

Aerospace Engineering is the source of much dreaming and worrying in most people's imagination. As such, it constitutes a marvelous support for the development and application of numerous disciplines, chief among them are aerodynamics, structures, flight and orbital mechanics. With time however, information technologies are progressively becoming the costliest activity within the aerospace engineering systems design phase. Indeed, they stand as the core elements of avionics systems, airline operations, air traffic control, spacecraft engineering, and planetary exploration, among others. Such subjects have been bringing much joy and teaching many lessons to your speaker for the past 30 years and will keep doing so, hopefully, for the next three decades.

Certification of Autonomous Vehicles: A Regulator-Oriented Approach

Huan Xu, Assistant Professor, University of Maryland

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KAUST

Featured Sessions
For more information please visit the website

Mutaz Aljafari

Education 2021.05 - 2021.08 Visiting Student, The CEMSE Saudi Summer Internship (SSI), King Abdullah University of Science and Technology, KSA Project: "Air-Air Drone Detection Using Modular Radar" 2015.09 - 2021.12 B.S in Aeronautical Engineering, KAUST, KSA Professional Profile 2021.05 - 2021.08 Research Intern, RISC Lab, KAUST, KSA 2020.01 - 2020.12 Aerospace Engineer, R&D, SarSat Arabia, KSA 2018.06 - 2018.07 Research Intern, Automotive Department, Nagoya University, Japan 2018.01 - 2020.12 Founder - Leader, Faculty of Engineering Manufacturing Club, KSA 2017.06 - 2017.08 Assistant
<> aerospace software system (3) <> agriculture (3) <> Antenna Integration (3)

High Specificity Microwave Wearable Biosensors for Remote Health Monitoring

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B2/3 L0 R0215

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

Loic Marnat

Loic Marnat worked as a Post Doctorate Fellow at Integrated Microwaves Packaging Antennas & Circuit Technology (IMPACT) Research Group with Professor Atif Shamim at King Abdullah University of Science and Technology (KAUST) during (2011-2013). Currently, Loic is working as a Research Engineer at the Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Research Center, Grenoble, France. Research Interests Loic's research interests included Nano-electronics for RF applications (Graphene, Carbon nanotubes, etc.), Antenna Integration and Miniaturization Techniques, Electronics on
HeadShot-Firas

Firas Fatani

Firas Fatani is an electrical engineer and researcher specializing in wireless sensing technologies, flexible electronics, and intelligent systems. His work focuses on advancing the design and integration of low-cost, battery-free, and printed microwave devices for health, environmental, and industrial monitoring applications. He is particularly interested in bridging electromagnetic design, material science, and data intelligence to develop innovative sensing platforms that enable smarter and more connected systems.
<> approximation (3)

Finite element approximation of parameter dependent eigenvalue problems

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B9 L2 R2322

Eigenvalue problems arising from partial differential equations are used to model several applications in science and engineering, ranging from vibrations of structures, industrial microwaves, photonic crystals, and waveguides, to particle accelerators.

Efficient Computation Through Tuned Approximation

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B9 L2 R2322 H1

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

WAN Approximation of PDEs: Best Approximation, Stabilization and Boundary Conditions

Prof. Silvia Bertoluzza

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B2 L5 R5209

We present a theoretical analysis of the Weak Adversarial Networks (WAN) method, recently proposed in [1, 2], as a method for approximating the solution of partial differential equations in high dimensions and tested in the framework of inverse problems. In a very general abstract framework.
<> architectural geometry (3)

Yu-Chou Chiang

Postdoctoral Research Fellow, Computer Science
Yu-Chou Chiang is a researcher investigating the interrelation between structural design, digital fabrication, and assembly, working in King Abdullah University of Science and Technology at Visual Computing Center. Yu-Chou Chiang have joined group of Prof.Helmut Pottman in 2022. Education and Early Career Yu-Chou studied civil and hydraulic engineering for his bachelor's and master's degrees. After working as a research assistant in academia and junior engineer and structural designer in the industry, he started his PhD research on design and fabrication of membrane shells in the architecture

Hui Wang

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

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
<> architecture (3)

A Novel HVDC Architecture for Offshore Wind Farm Applications

Otavio Dezem Bertozzi Junior, MS Student, Physical Science and Engineering

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KAUST

Advances in power electronics have enabled many renewable energy applications. Wind energy harnessing is very promising and offshore farm installations have grown considerably in the past years. In this thesis, we introduce a novel power converter solution for the parallel connection of high-power offshore wind turbines, suitable for HVDC collection and transmission. For the parallel operation of energy sources in an HVDC grid, DC link voltage control is required. The proposed system is based on a full-power rated uncontrolled diode bridge rectifier in series with a partially-rated fully-controlled thyristor bridge rectifier. The thyristor bridge acts as a voltage regulator to ensure the flow of the desired current through each branch, where a reactor is placed in series for filtering of the DC current. AC filters are installed on the machine side to mitigate harmonic content. The mathematical modeling of the system is derived and the control design procedure is discussed. Guidelines for equipment and device specifications are presented. The concept is validated through simulation, and an experimental framework for testing of the system is suggested.

Quantum Computing with Xanadu

Catalina Albornoz, Quantum Community Manager at Xanadu

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KAUST

Xanadu is a Canadian quantum computing company with the mission to build quantum computers that are useful and available to people everywhere. Xanadu is one of the world’s leading quantum hardware and software companies and also leads the development of PennyLane, an open-source software library for quantum computing and application development.

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
<> astronomy (3) <> Autonomous system (3) <> autonomy (3)

The challenging path to creating fully autonomous and controllable microrobots

Prof. Néstor O. Pérez-Arancibia, Autonomous Microrobotic Systems Laboratory, University of Southern California (USC)

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KAUST

Featured Sessions
For more information please visit the website

Xwing: the journey to deploying autonomous cargo aircraft

Maxime Gariel, Chief Technology Officer, Xwing

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KAUST

Featured Sessions
For more information please visit the website

Certification of Autonomous Vehicles: A Regulator-Oriented Approach

Huan Xu, Assistant Professor, University of Maryland

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KAUST

Featured Sessions
For more information please visit the website
<> Backstepping (3)

Exact Backstepping Control for Systems in Pure Feedback Form

Prof. Johann Reger, Computer Science and Automation Faculty, TU Ilmenau, Germany

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KAUST

Traditional backstepping approaches may struggle to asymptotically stabilize systems in pure feedback form, due to its inherent implicit equations. Approximation based designs only have a limited domain of validity and turn out sensitive to model uncertainty and disturbances. We propose a new design that circumvents the necessity of solving implicit algebraic equations by introducing new state variables. Additional augmentations to the backstepping Lyapunov design lead to explicit expressions for the associated differential equations. The result is a dynamic state feedback, capable of asymptotically stabilizing the origin of a general class of nonlinear systems, based on just standard assumptions.

Part 1 - Introduction to backstepping control

Prof. Johann Reger, Computer Science and Automation Faculty, TU Ilmenau, Germany.

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KAUST

Backstepping is a widely applicable control technique based on Lyapunov theory that under rather mild assumptions leads to families of control laws for a large class of nonlinear systems. Focusing on systems of ordinary differential equations, we introduce the basic concept (integrator backstepping), generalize it, among others, to systems in strict feedback form and pure feedback form, which all enjoy an inherent controllability property, captured in the system structure. The course ends with extending the setting to the adaptive backstepping case, resorting to the certainty equivalence principle and Barbalat's lemma. The course is furnished by a series of exercises to let the students gather experience on tailored examples.

Part 2 - Introduction to backstepping control

Prof. Johann Reger, Computer Science and Automation Faculty, TU Ilmenau, Germany.

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KAUST

Backstepping is a widely applicable control technique based on Lyapunov theory that under rather mild assumptions leads to families of control laws for a large class of nonlinear systems. Focusing on systems of ordinary differential equations, we introduce the basic concept (integrator backstepping), generalize it, among others, to systems in strict feedback form and pure feedback form, which all enjoy an inherent controllability property, captured in the system structure. The course ends with extending the setting to the adaptive backstepping case, resorting to the certainty equivalence principle and Barbalat's lemma. The course is furnished by a series of exercises to let the students gather experience on tailored examples.
<> big data analytics (3)

KAUST Research Conference Digital Health 2020

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B19 L2 H1

Computational Bioscience Research Center at King Abdullah University of Science and Technology is pleased to announce the KAUST Research Conference on Digital Health 2020.

IXPUG Middle East Conference 2018 at KAUST

1 min read ·
KAUST will host the first Middle East meeting of the Intel eXtreme Performance Users Group (IXPUG), 22-25 April 2018. Alan Gara, Intel Fellow, will give the keynote address. Alex Heinecke (Intel), Adrian Tate (Cray), Vincent Etienne (Aramco), and Taisuke Boke (Tsukuba University) will give invited talks.

Muhamad Felemban

Muhamad Felemban obtained his Master's degree in Computer Science under the supervision of Professor Basem Shihada at King Abdullah University of Science and Technology (KAUST) in 2011. Muhamad received a B.S. degree from King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, in 2008, and a Ph.D. degree from the School of Electrical and Computer Engineering, Purdue University, in 2018. Currently, he is an Assistant Professor in the Computer Engineering department at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. Master's Thesis title: " Optimal Node
<> bioimaging (3)

UESTC students visit CEMSE Laboratories during a one week Winter Camp at KAUST

1 min read ·
Twenty-two undergraduate students from the University of Electronic Science and Technology of China (UESTC), Chengdu, are currently visiting the CEMSE Division as part of one week Winter Camp at KAUST.

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.

Carlo Liberale

Research Associate Professor, Bioscience
Carlo Liberale is an Research Associate Professor of Bioscience (B) and affiliated with the Electrical and Computer Engineering Program (ECE), and Principal Investigator of the Vibra Lab. Liberale's research interests are focused on developing and applying label-free chemical imaging techniques based on vibrational spectroscopy (Infrared and Raman micro-spectroscopy) and multi-photon processes (Coherent Raman Microscopy, SHG). One of the main aims of this research activity is to unveil specific bio-chemical signatures of cancer stem cells, with a particular focus on understanding the
<> biomedical applications (3)

Novel Data Mining Methods for Virtual Screening of Biological Active Chemical Compounds by Othman Soufan

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H2 B9

Abstract Drug discovery is a process that takes many years and hundreds of millions of dollars to reveal a con dent conclusion about a specific treatment. Part of this sophisticated process is based on preliminary investigations to suggest a set of chemical compounds as candidate drugs for the treatment. Computational resources have been playing a significant role in this part through a step known as virtual screening. From a data mining perspective, the availability of rich data resources is key in training prediction models. Yet, the difficulties imposed by big expansion in data and its

A journey in applied complexity: pioneering record-performing technologies in clean energy harvesting, machine vision, and smart materials - Public Colloquium

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B9 L2 R2322

Applied Complexity aims to understand the physical origin of these behaviors and transform them into sustainable technologies that tackle global problems of global interest. These range from energy harvesting to clean water production, the design of smart materials, biomedical applications, information security, artificial intelligence, and global warming. In this talk, I will summarize my group's recent research, discussing present results and future challenges of Applied complexity both as a science and engineering.

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
<> biomedical electronics (3) <> biotechnology (3) <> body area networks (3)

Raphaela Kethlim Souza Silva

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

Qi Huang

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

David Lago Cachón

Postdoctoral Research Fellow (former), Communication and Computing Systems Lab
Biography David Lago Cachón received his B.Sc. in Physics, specialization in Electronic, Automatism and Signal Processing in 2008 and his M.Sc. in Science and Technology of Materials in 2010, both from University of Oviedo. He obtained his PhD in Applied Physics in 2016, with qualification Excellent cum laude and proposed to Extraordinary doctorate award. At the same time, he has been highly implicated in Science Communication, given talks in schools, pubs and even a TEDx. Also, he has been interviewed and consulted by local and regional media. With some friends he created an astronomy club
<> C++ (3)

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

Israel Jesus Santos Filho

Israel's research is focusing on Pattern Recognition and Digital Signal Processing. He is passionate about the scientific computing ecosystem, with a particular focus on Data Science, Data Engineering, Applied and Computational Mathematics, Pattern Recognition, and Signal Processing.
<> chemical science (3) <> chemical sensors (3)

Tutku Beduk

Tutku Beduk is currently a PhD student at the Sensors Lab, in the Material Science and Engineering Department, MSE, King Abdullah University of Science and Technology (KAUST). Education and Early Career Tutku Bedük received her bachelor degree from Middle East Technical University in Chemistry with a High Honor Degree, Turkey in 2016. She also competed her MSc degree in Bilkent University in the field of Chemistry, Turkey in 2018. She is currently a PhD candidate in the Sensor Lab Group under the direction of Prof. Khaled Nabil Salama at King Abdullah University of Science and Technology

Sakandar Rauf

Education and Early Career Dr. Sakandar Rauf received his Ph.D (Field of Study: Biosensors) from the University of Glasgow, U.K. in 2010. He obtained an MPhil degree in Micro- and Nanotechnology Enterprise from the University of Cambridge, U.K in 2005 and MPhil in Biotechnology from the National Institute for Biotechnology and Genetic Engineering (NIBGE), Pakistan in 2004. Dr. Rauf studied M.Sc. in Chemistry from Islamia University Bahawalpur, Pakistan in 2001. He received Cambridge Commonwealth & DFID shared Scholarship from the University of Cambridge, Dorothy Hodgkin’s Postgraduate Award

Abdulrahman Aljedaibi

Electrical Engineering PhD student at CEMSE, King Abdullah University of Science and Technology (KAUST).
<> circuit design (3)

Improving chip design on every level

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

Qi Huang

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

Moutazbellah Khater

Research Interests Moutaz is an experienced research and development specialist with hands-on industrial experience. His professional experience covers the full product development cycle, from the conceptual phase all the way to implementation. Throughout his academic research and professional career, He has developed several novel applications and solved numerous technical challenges and as a result he has gained a broad experience particularly in automotive electronics, power electronics, magnetic measurements, electronics manufacturing and research and development. With his unique
<> climate projections (3)
ACM Gordon Bell Prize for Climate Modelling

KAUST wins the “Nobel” of high-performance computing for climate modeling

1 min read ·
KAUST has been awarded the “Nobel" prize of high-performance computing—the ACM Gordon Bell Prize for Climate Modelling—in partnership with the NSF National Center for Atmospheric Research, U.S. and other partner institutions.

Mathematical modeling of the stochastic climate system

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B9 L2 H1

​Author of more than 290 journal and conference publications, Professor Stenchikov's research interests are in multi-scale modeling of environmental processes and numerical methods; global climate change, climate downscaling, atmospheric convection; assessment of anthropogenic impacts and geoengineering; air-sea interaction, evaluating environmental consequences of catastrophic events like volcanic eruptions, nuclear explosions, forest and urban fires; and air pollution, transport of aerosols, chemically and optically active atmospheric tracers, their radiative forcing and effect on climate.

West Africa warms but airborne dust keeps the Red Sea cool

1 min read ·
World-class computing facilities at KAUST enable researchers to tackle complex questions in climate science and oceanography.
<> climatology (3) <> CMOS electronics (3)
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.

Smart Multifunctional Electronic Devices for IoT and Healthcare Applications

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B9 L2 H2

This talk addresses these questions through two main projects: 1) Smart and multifunctional memory devices (MEMSOR) that can sense and compute, and 2) Wearable Octopus-skin-inspired 3D-printed biopatches for electrophysiological signal measurement.

Hussain is taking a flexible approach

1 min read ·
“The theme of our research is how we can empower humanity with technology,” said Muhammad Mustafa Hussain, professor of electrical engineering at KAUST. Using the skills from his time in industry, and the support he is granted by KAUST, Hussain creates flexible, wireless electronics to inexpensively turn everyday objects into smart devices. When Hussain had his novel computer chip technology licensed by Intel Corporation before he had even graduated from his Ph.D., he soon found himself a rewarding job in the semiconductor chip industry. But Hussain harbored the desire to one day go into
<> Cognitive radios (3)

Rachad Atat

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

Ismail AlQerm

Ismail AlQerm obtained his Ph.D. degree in Computer Science under the supervision of Professor Basem Shihada at King Abdullah University of Science and Technology (KAUST). Currently, he is working as a Post-Doctorate Fellow at the University of Missouri-St. Louis, USA. Research Interests Ismail's research interests included Cognitive radios, Resource Allocation, Machine Learning, Cellular Networks, and HetNets. Thesis title: Novel Machine Learning-Based Techniques for Efficient Resource Allocation in Next Generation Wireless Networks. Academic Advisors Basem Shihada, Professor, Computer

Abdulrahman Alabbasi

Abdulrahman Alabbasi obtained his Ph.D. degree in Electrical Engineering under the supervision of Professor Basem Shihada at King Abdullah University of Science and Technology (KAUST). Currently, he is working as a Senior Researcher at Ericsson in Sweden. Thesis title: " Towards Energy Efficient Cognitive Radio System". Education Profile ​PhD. in Electrical Engineering, King Abdullah University of Science and Technology, Thuwal, KSA M.Sc. in Electrical Engineering, University of Electro-Communications (UEC), Tokyo, Japan Scientific and Professional Membership ​IEEE Research Interest
<> Combinatorial machine learning (3)
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.

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.
<> commencement (3) <> communication engineering (3)
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

Situational Awareness and Decision-Making Support for Crowd Management in Mina, A Grand Challenge Project Funded by the Ministry of Education

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KAUST

Recent real disastrous crowd incidents have shown that crowded places can be exposed to significant safety dangers and that the presence of many pedestrians can potentially result in injuries and fatalities at large scales if not planned and managed reasonably. This fact has resulted in significant challenges for managing the safety of large volumes of pedestrians in dense areas. In retrospect, many such real crowd disasters could have been avoided with better crowd management. Better tools and methodologies to predict crowd behavior during planning for potential emergencies would enable authorities to plan and prepare for improved public safety in crowded environments. Better still, real-time management of crowds might avert disasters if live event data could be used to make rapid predictions of crowd dynamics over the immediate future, allowing management to be optimized as an event unfolds. Such tools do not yet exist, and the technical demands of creating them are not trivial; they will require innovative approaches to both empirical research and modeling.

New Frontiers in Space Laser Communications aiming for Beyond 5G/6G

Morio Toyoshima, Director General of Wireless Networks Research Center, National Institute of Information and Communications Technology

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B1 L3 R3119

These discussions on the way how information and communication technology (ICT) should be in Beyond 5G (B5G) and 6G are accelerating, the space laser communication is becoming more advanced and active in the field of space communications.
<> Communication Theory (3) <> comparative genomics (3)

Professors discuss big data and human health in latest Sci-Café

1 min read ·
​Professors Takashi Gojobori, Xin Gao and Robert Hoehndorf spoke about big data and human health at the Sci-Café event held on February 27. Their talk, which was moderated by James Calvin, Vice President for Academic Affairs, aimed to answer the question, "Can Big Data Solve My Health Problems?" This event was open to all members of the KAUST community.

CBRC participates in NATDP 2017

1 min read ·
​​​​​Five research groups from CBRC participated in this year's National Academic Talent Development Program (NATDP) Symposium on April 20. The Knowledge Mining Lab presented their research on Microbial Knowledge-based Expolaration Systems as well as Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production.

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
<> composite magnets (3)

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.

Mohammed Asadullah Khan

Mohammed Asadullah Khan received the B.E. degree from Osmania University, Hyderabad, India, in 2008, and the M.E. degree from the Indian Institute of Science, Bangalore, India, in 2010. He was a Design Engineer with Intel Integrated Platform Research Labs from 2010 to 2013. He is currently pursuing a Ph.D. degree in electrical engineering from the Sensing, Magnetism, and Microsystems Group, under the supervision of Prof. Jürgen Kosel. He has co-authored 11 journal articles after joining KAUST. Also, while working at KAUST, he presented his research at various international conferences. He is

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
<> computer networking and systems (3)

Saverio Pasqualoni

M.S. Student, Computer Science
Saverio is a Master’s student pursuing graduate studies (M.S. and Ph.D.) in Computer Science at KAUST, working in the SANDS research group on high-performance computing and collective communications, with research interests that bridge systems-level computer science and large-scale simulation through a strong mathematical foundation.

Ziyi Yang

Ph.D. Student, Computer Science
Ziyi Yang is a PhD student in the Accelerated Connected Computing Lab at KAUST. She works on the networked integration of FPGA-based accelerators. She received her Bachelor of Science degree in Telecommunications Engineering with Management from the Beijing University of Posts and Telecommunications, China and Queen Mary University of London in 2021. She completed her MS in Computer Science at KAUST in 2022.

Enas Ahmad

Enas Ahmad obtained her Master's degree in Computer Science under the supervision of Professor Basem Shihada at King Abdullah University of Science and Technology (KAUST). Research Interests Enas' research interests included the area of computer networking and systems, specifically software-defined networking, data centers, the internet of things, and participatory sensing. Thesis title: " Energy Efficient Smartphones: Minimizing the Energy Consumption of Smartphone's GPU using DVFS Governors". Education Profile M.sc. in Computer Science, King Abdullah University of Science and Technology
<> Comsol Multiphysics (3)

Ultra miniaturized InterDigitated electrodes platform for sensing applications

1 min read ·
Z. Wang, et al., "Ultra miniaturized InterDigitated electrodes platform for sensing applications." Microelectronic Engineering 225, 2020, 111253. InterDigitated Electrodes (IDEs) is a generic platform for a wide range of diverse applications with their implementation in sensing modules being a major one. We propose the use of IDCs with deep sub-micron critical dimension; equally spaced electrodes of 200 nm width for enhanced sensing performance and also the method of fabrication thereof. The transducer configuration was studied theoretically with a finite element method simulation by using

Xuecui Zou

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

Sally Ahmed

Sally Ahmed was a Ph.D. student in Electrical Engineering in the Computer, Electrical and Mathematical Science & Engineering division of King Abdullah University of Science and Technology. She was a member of the Integrated Circuits and Systems research group (ICS) from May 2016 to December 2020 and her thesis was supervised by Prof. Hossein Fariborzi. Sally obtained her Master's degree in Electrical Engineering from KAUST in 2013 and has a Bachelor's degree in Electronics Engineering from American University in Cairo (AUC). Research Interests Sally's research interests include MEMS Devices
<> consumer electronics (3)

Advanced MTJ Sensory Devices for Industrial and Healthcare Applications

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B3 L5 R5209

Magnetic sensors are deployed in many applications such as automotive, consumer electronics, navigation and data storage devices. Their market’s growth is driven by demands of higher performance and more integration; primarily to assist in the advancement of Internet of Things (IoT) and smart systems.

Flash Microfluidics, rapid Lab on a Chip fabrication method for cost- effective in situ production.

1 min read ·
From DNA sequencing to environment monitoring, microfluidics devices have been broadly employed, but their production is more and more time-consuming and expensive. Researchers from the King Abdullah University of Science and Technology (KAUST), Saudi Arabia, have developed an innovative prototyping method for Lab on a Chip (LOC) production to plummet costs while augmenting performances.

Yousof A. Mashraei

Yousof Mashraei received the M.S. degree from King Abdullah University of Science and Technology (KAUST) in 2014. He joined King Abdulaziz City for Science and Technology and was involved in smart grid and renewable energy since 2012. He joined KAUST as a PhD student in 2014 and specialized in microfabrication and sensors. His research focus on magnetic sensors, integration and hybrid system for health and industrial applications.
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kaust-cemse-ece-otavio-bertozzi

Otavio Bertozzi

Nojood Almayouf

Nojood Almayouf is a Graduate Research Assistant in the Distributed Systems and Autonomy (DSA) Lab within the Robotics, Intelligent Systems and Control (RISC) Research Initiative. Education M.S. in Electrical Engineering, KAUST, Saudi Arabia (Aug 2017 - Dec 2019). Visiting graduate student, Stanford University, United States (Jun 2017 - Aug 2017). B.S. (with first honor) in Electrical and Computer Engineering, Effat University, Saudi Arabia (Jan 2013 - Jun 2017). Professional Profile Graduate Teaching Assistant for ECE 271A/ME 221A: Linear Control Systems Course, KAUST (Aug 2022 - Dec 2022)

Deemah Al Fuhaid

Research Interests Interdisciplinary projects concerning control systems, modeling, simulation, and embedded systems. Professional Profile 2020: Summer Intern at The Saudi Space Association, Saudi Arabia 2019: Summer Intern at The Center of Communication and Electronics, KACST, Saudi Arabia Education Profile B.Sc., Electrical Engineering Alfaisal University, Saudi Arabia Awards and Distinctions 1st place winner in Boeing's Engineering Student Poster Competition, 2021 2nd place winner in Boeing's Engineering Student Poster Competition, 2020 7th place winner in the National Mathematics Olympiad
<> convolutional neural network (3)

Yazeed Alharbi

Yazeed Alharbi is a Ph.D. candidate under the supervision of Prof. Peter Wonka at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). Education and Early Career In 2015, Yazeed obtained his bachelor degree from Purdue University in the computer graphics and visualization track, with a minor in philosophy. In 2018, he received his master degree from King Abdullah University of Science and Technology (KAUST). He mainly learned about computer vision and the process of publication in that field. Research Interest Currently, Alharbi research is focused

Li Zhang

Abdullah Alharthi

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Abdullah Alharthi's research centers around pattern recognition as a means to tackle a diverse array of new challenges, including how to learn intelligent behavior in complex, dynamic environments. His areas of expertise include cognition, perception, theory of mind, gait, and human-robot interaction. His work delves into both human kinetics and the comprehension and resolution of how humans and robots interact with one another in a dynamic setting. Dr. Alharthi employs Deep Learning techniques to tackle problems related to image, object, and signal recognition and classification
<> cyber threats (3) <> Data Analytics (3) <> dense linear algebra (3) <> design (3)

Smart Meter Data-Driven Load Forecasting and Price Design in the Retail Market

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KAUST

The widespread popularity of smart meters enables an immense amount of fine-grained smart meter data to be collected. Meanwhile, the deregulation of the power industry, particularly on the delivery side, has continuously been moving forward worldwide. Electricity retailer is one of the main participants in the retail market. This presentation will discuss how an electricity retailer can increase the competitiveness in the retail market by making full use of the fine-grained smart meter data. Since load forecasting is fundamental for various businesses of the retailer, the first part of this presentation will study how to enhance the performance of aggregated load forecasting using the fine-grained smart meter data. Designing customizing prices is an effective way to promote consumer interactions and increase customer stickiness for retailers. The second part of this presentation will introduce a novel data-driven approach for incentive-compatible customizing time-of-use (ToU) price design so that the benefits of both the retailer and consumers can be gained.

Advancing Visual Intelligence via Neural System Design

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KAUST

Building intelligent visual systems is essential for the next generation of artificial intelligence systems. It is a fundamental tool for many disciplines and beneficial to various potential applications such as autonomous driving, robotics, surveillance, augmented reality, to name a few. An accurate and efficient intelligent visual system has a deep understanding of the scene, objects, and humans. It can automatically understand the surrounding scenes. In general, 2D images and 3D point clouds are the two most common data representations in our daily life. Designing powerful image understanding and point cloud processing systems are two pillars of visual intelligence, enabling the artificial intelligence systems to understand and interact with the current status of the environment automatically. In this talk, I will first present our efforts in designing modern neural systems for 2D image understanding, including high-accuracy and high-efficiency semantic parsing structures, and unified panoptic parsing architecture. Then, we go one step further to design neural systems for processing complex 3D scenes, including semantic-level and instance-level understanding. Further, we show our latest works for unified 2D-3D reasoning frameworks, which are fully based on self-attention mechanisms. In the end, the challenges, up-to-date progress, and promising future directions for building advanced intelligent visual systems will be discussed.

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

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KAUST

Electromechanical switches were the core elements of the very first digital computers in early 20th century. While these switches were later replaced by the smaller, faster and more reliable "transistor" technology, they found a new life following the development of nanofabrication tools and Micro-electromechannical Systems (MEMS). In this seminar we will explore the most recent advances in the field of MEMS-based digital circuit and sensor design. We also examine the application of MEMS switches and resonators in building the most important blocks of a digital system, namely adders, multipliers, data converters, sequential and combinational complex logic, and discuss the future of this technology in the beyond-CMOS era.
<> development (3) <> Differential privacy (3)

Reem Arnaout

Visiting student at King Abdullah University of Science and Technology (KAUST).
KAUST-CEMSE-CS-PhD-Dissertation-Defense-Lijie-Zihang Xiang-Modern-Privacy-preserving-Machine-Learning

Modern Privacy-preserving Machine Learning: Rigorous Approach for Data Privacy

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B3 L5 R5216

This dissertation centers around privacy-preserving technologies (differential privacy) in broad machine learning applications. This dissertation focuses on two sides of differential privacy: 1) designing privacy-preserving algorithms, 2) ensuring the falsifiability of privacy claims.

Differentially private testing of symmetry equivalence hypotheses based on the characteristic function

Prof. Simos G. Meintanis, University of Athens

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B1 L4 R4102

We investigate privacy aspects of tests for symmetry equivalence null hypotheses. Specifically, we consider weighted L2 type tests as well as chi-squared type tests for multivariate symmetry based on the characteristic function, and their privacy properties are specifically quantified within the context of differential privacy. We consider both the case of known centre as well as tests for symmetry about an unknown centre.