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Andrea Vanessa Rocha

Research Specialist, Statistics

Statistical Modeling computational statistics machine learning stochastic processes

Chengjie Zhao

Visiting Researcher, Information Science Lab

wireless communication Signal processing optimization machine learning

Visiting Student, King Abdullah University of Science and Technology

Mohamed Ads

Visiting Student (former), King Abdullah University of Science and Technology

IoT Telecommunications Smart Wireless Massive Systems LED Wireless Communication Systems artificial intelligence machine learning Cyber Security

Visiting Student, King Abdullah University of Science and Technology

Hayssam Dahrouj

Research Scientist (former), King Abdullah University of Science and Technology

6g wireless systems cloud- and fog-radio access networks cross-layer optimization Cooperative networks machine learning Optical communications

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

Karen Sanchez

Postdoctoral Research Fellow

Computer Vision machine learning AI for healthcare deep learning Medical imaging

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

Hani A. Al Majed

M.S. Student

machine learning Computer Vision AI4Science

Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science

Computer Vision machine learning Deep generative models

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

Saleh AlJazzar

Visiting Scholar (former), King Abdullah University of Science and Technology

Signal processing Wireless Communications machine learning

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

Muhammad Esmat

Visiting Scholar (former), King Abdullah University of Science and Technology

machine learning neural network

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

Yasser Jaber

Visiting Researcher (former), King Abdullah University of Science and Technology

machine learning software artificial intelligence

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

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

embedded systems IoT energy efficiency machine learning artificial intelligence intrusion detection computer networks

Ahsan Mehmood

Intern (former), Information Science Lab

IoT Biomedical Signal Processing healthcare Digital signal processing machine learning

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

Abdulkarem Badiea Alshaibani

M.S. Student, Information Science Lab

Localization machine learning GNSS localization Riemannian Optimization

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

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

Khalil Elkhalil, Postdoctoral Research Fellow, Electrical and Computer Engineering

Jun 24, 09:00 - 10:00

B1 L4 R4214

Random Matrix Theory machine learning high dimensional statistics data science

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

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

1 min read · Mon, Nov 20 2017

machine learning high dimensional statistics data science

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

Saudi Summer Internship (SSI) Poster Competition Winners

1 min read · Sun, Aug 4 2019

Ultrasonic-based Localization machine learning

Rawan Al Ghamdi, Abdulwahab Felemban and Abdullah Zayat were interns this summer as part of the Saudi Summer Internship (SSI) Program. This is a program involving undergraduates from various universities in the Kingdom and this year hosted 43 students. Abdulwahab and Abdullah worked on enhancing ultrasonic indoor localization and in particular using machine learning to classify arriving signals between line-of-sight and multi-path. Abdulwahab and Abdullah won the second place in the poster competition that took place at the end of the SSI program. Rawan Al-Ghamdi was an intern this summer as

ISL Student Khalil ElKhalil does internship at Duke University

1 min read · Thu, Aug 8 2019

Random Matrix Theory machine learning statistical finance

ISL PhD student Khalil ElKhalil was a visiting Duke university from September 2018 to March 2019. Khalil was working with Vahid Tarokh on topics related to random matrix theory, machine learning and statistical finance.

Shahzad Gishkori

Postdoctoral Research Fellow (former), Information Science Lab

Signal processing image processing machine learning

Postdoctoral Research Fellow, Electrical and Computer Engineering , King Abdullah University of Science and Technology.

Ruslan Zhagypar

machine learning wireless networks Stochastic Geometry Sound Source Localization

MS/PhD Student, Electrical and Computer Engineering , King Abdullah University of Science and Technology

Reema Alnafisi

M.S. Student (former), Electrical and Computer Engineering

machine learning Signal processing Embedded systems. communication Indoor localization

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

Raphael Bridi

software development machine learning IoT

Ph.D. Student, Electrical and Computer Engineering ,King Abdullah University of Science and Technology (KAUST).

Mohammed Hussain AlSharif

Postdoctoral Research Fellow, California Institute of Technology (Caltech)

Hand Gestures Recognition Ultrasonic-based Localization indoor localization systems underwater acoustic localization communication signal design machine learning

Dr. Mohammed AlSharif is a Postdoctoral Fellow at the California Institute of Technology (Caltech) and a recipient of the KAUST Ibn Rushd Fellowship. His research bridges Riemannian geometry, statistical estimation, and learning for autonomous systems, with applications to high-accuracy pose estimation and robotics.

Mostafa Mohamed Lotfy Emara

Postdoctoral Research Fellow (former), Electrical and Computer Engineering

Research Design of Caching Systems using Stochastic Geometry Statistical Modeling wireless networks Stochastic Geometry machine learning

PhD Student, Electrical and Computer Engineering at KAUST (King Abdullah University of Science and Technology)

Mudassir Masood

Ph.D. (former), Electrical and Computer Engineering

Distribution Agnostic Bayesian Estimation of Sparse Signals Compressive Sensing Massive MIMO Physical layer security machine learning

Ph.D. degree in electrical engineering from the King Abdullah University of Science and Technology (KAUST). ,Assistant Professor, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.

Mohammed Aasim Shaikh

Signal and Image Processing machine learning wireless communications.

MS Degree ,Electrical and Computer Engineering ,King Abdullah University of Science and Technology (KAUST) .

Mohammed Ali Abugurain

image processing machine learning analog electronics

Visiting student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).

Mohammad Tamim Alkhodary

Ph.D. (former), Electrical and Computer Engineering

machine learning Bayesian Compressive Sensing Radar imaging Ultra-wideband communication Signal processing cloud-native for B5G node clustering

Ph.D. degree in electrical engineering from the King Fahd University of Petroleum and Minerals. Postdoctoral Fellow at École de technologie supérieure, Montreal, QC, Canada

Mohamed A Suliman

Visiting Scholar (former), Information Science Lab

Optimal Regularization of Linear System Signal processing machine learning Big data analysis Sensor networks Random Matrix Theory

MS Degree at King Abdullah University of Science and Technology, Ph.D. candidate, Imperial College London..

Maria Sara Nour SADOUN

Visiting Student (former), Information Science Lab

Signal processing artificial intelligence development Rehabilitation nonlinear machine learning

Research internship in King Abdullah University of Science and Technology within EMANG as a Visiting Student on the topic of Epileptic Seizure Detection using Electroencephalography (EEG).

Mamdouh AlJoud

Intern (former), Information Science Lab

IoT machine learning Computer Vision.

Research Intern at King Abdullah University of Science and Technology (KAUS)

Lama Burhan Niyazi

Ph.D. (former), Electrical and Computer Engineering

Random Matrix Theory machine learning

Ph.D. degree in the Communication Theory Lab (CTL) under the joint supervision of Professor Mohamed-Slim Alouini and Professor Tareq Al-Naffouri , King Abdullah University of Science and Technology (KAUST)

Khaqan Majeed

Indoor localization machine learning Biomedical Signal Processing

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

Khalil Elkhalil

Postdoctoral Research Fellow, Electrical and Computer Engineering

machine learning high dimensional statistics data science Random Matrix Theory Selected Applications statistical signal processing Supervised Learning Algorithms Feedback Reduction in Multiuser and Relay Networks

PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.

Jing Cao

Visiting Student (former), Electrical and Computer Engineering

wireless communication Signal processing machine learning

Visiting student of MEWC 2024 in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.

Ismail Ben Atitallah

M.S., Computer, Electrical and Mathematical Sciences and Engineering

Sensor array processing Random Matrix Theory Robust estimation machine learning Data Sciences Signal processing

Ismail Ben Atitallah was a MS Thesis Student at King Abdullah University of Science and Technology (KAUST).

Israel Jesus Santos Filho

Pattern Recognition machine learning deep learning Compressive Sensing Signal processing Python MATLAB Scilab C++ JavaScript MySQL MongoDB GCP AWS

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.

Ibrahim Alshehri

Signal processing machine learning quantum computing.

intern at King Abdullah University of Science and Technology(KAUST)

Hajer Abbas

Visiting Student (former), Electrical and Computer Engineering

machine learning Computer Vision Data Visualization.

Visiting Student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).

Ebrahim Al-Safadi

Visiting B.S. Student, Information Science Lab

machine learning multi-modal transformer models deep learning approaches optimization program synthesis Applications of compressive sensing for PAPR reduction in OFDM

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

Basit Olakunle Alawode

machine learning Signal processing web development communication systems automation and embedded systems design mobile applications development

Visiting student at King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.

Asma Abdullah Sarouji

Visiting Student (former), Electrical and Computer Engineering

machine learning Signal processing communication Estimation IoT Electrical and Power engineering

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

Alam Zaib

channel estimation Massive MIMO blind equalization Signal processing communications Adaptive filtering machine learning

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

Ahmed Foud Ali Mehdi AlMehdhar

Visiting Student (former), Electrical and Computer Engineering

communications electronics machine learning algorithms

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

Ahmed Douik

M.S. (former), Computer, Electrical and Mathematical Sciences and Engineering

optimization non-convex methods machine learning cloud-radio access networks network coding Cooperative communications Broadcast and Multicast Networks

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

Abdulwahab Felemban

Digital signal processing image processing machine learning wireless communication

Ph.D. Student, Electrical and Computer Engineering CEMSE, King Abdullah University of Science and Technology (KAUST),completed MSc under the supervision of Prof. Tareq Al-Naffouri.

Abdulrahman Alanazi

Visiting Scholar (former), Information Science Lab

inverse problems computational imaging machine learning Low-Complexity Regularization Algorithms for Image Deblurring

Visiting Scholar, Information Science Lab at Computer, Electrical and Mathematical Science and Engineering (CEMSE) , Assistant Professor at King Saud University

Abdulmajeed Aljaloud

Visiting Student, Computer Science

Python machine learning data analysis artificial intelligence

Visiting Student Research Program ,Research Intern at King Abdullah University of Science and Technology (KAUST)

Abdullah Al-Nafisah

M.S. Student (former), Electrical and Computer Engineering

Information theory Analog circuits Digital Communication machine learning embedded systems

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

Abdullah Ahmed Zayat

wireless communication Signal processing machine learning indoor localization systems Biomedical Signal Processing

Visiting Student Research Program under the supervision of Professor Tareq Al-Naffouri ,Research Intern at King Abdullah University of Science and Technology (KAUST)

Abdallah Al-Moubayed

M.S. (former), Computer, Electrical and Mathematical Sciences and Engineering

wireless communication Cross-layer design machine learning cybersecurity Data Analytics Resource allocation wireless resource virtualization Device-to-Device Communication IoT e-learning performance and optimization modeling cloud computing Cooperative communications Collaborative instantly decodable network coding

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

Racha Zayni

Visiting Researcher, Information Science Lab

machine learning Data Analytics Wireless Communications AI-based Localization Signal processing

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

Reem Arnaout

Intern, King Abdullah University of Science and Technology

wireless communication Signal processing Radio Frequency Localization Differential privacy Federated learning Network and Software Security

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

Serine Medjber

Visiting Student (former), King Abdullah University of Science and Technology

Signal processing embedded systems IoT

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri

Mohammed Amine Labbas

Visiting Student (former), King Abdullah University of Science and Technology

IoT Signal processing wireless communications. embedded systems

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri

FMCW Radar Applications for Automotive and Biomedical Applications

Vijith Varma Kotte, Ph.D. Student, Electrical and Computer Engineering

May 15, 15:00 - 17:00

B1 L3 R3119

deep learning Signal processing MIMO radars sensors

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

Chengjie Zhao

Visiting Researcher, Information Science Lab

wireless communication Signal processing optimization machine learning

Visiting Student, King Abdullah University of Science and Technology

Almutasem Bellah Enad

Visiting Researcher (former), Information Science Lab

communication engineering Data detection and decoding coding techniques for Terahertz Massive MIMO Systems Signal processing wireless communication MATLAB Python

Visiting Student, King Abdullah University of Science and Technology, Present M.Eng in Electrical and Computer Engineering, American University of Beirut, Lebanon

Ahmad Dkhan

Visiting Scholar (former), Information Science Lab

Physically consistent modeling Near-field propagation analysis Signal processing mmWave systems Reconfigurable Intelligent Surfaces Sparse signal recovery 6G

Visiting Student, King Abdullah University of Science and Technology Present -Master's in Electrical and Computer Engineering, American University of Beirut, Lebanon

KAUST-Engineered tool drives sustainable solutions in water conservation

3 min read · Sun, Dec 1 2024

IoT devices IoT AI Smart sensors Signal processing

KAUST’s startup EcoStream cuts water waste by 50% while promoting affordability and sustainability, winning the 2024 StartSmart prize.

Saleh AlJazzar

Visiting Scholar (former), King Abdullah University of Science and Technology

Signal processing Wireless Communications machine learning

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

Alaa Alameer Ahmad

Visiting Researcher (former), King Abdullah University of Science and Technology

Signal processing communication networks

Research visit to communication theory lab in computer, electrical and mathematical sciences and engineering. KAUST (King Abdullah University of Science and Technology) ,Worked with research groups supervised by Prof. Mohamed-Slim Alouini and Prof. Tareq AL-Naffouri.

Abdullatif Al-Rabah

Signal processing communication Network Design

MS Degree, Computer, Electrical and Mathematical Sciences and Engineering at King Abdullah University of Science and Technology (KAUST).

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

Mohammed Hussain AlSharif, Postdoctoral Research Fellow, California Institute of Technology (Caltech)

Dec 16, 14:00 - 15:00

B1 L3 R3119

Indoor localization Ultrasonic-based Localization Signal processing

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

Yao GE

wireless communication Signal processing game theory Physical layer security

Visiting Scholar with the Department of Computer, Electrical and Mathematical Science and Engineering, King Abdullah University of Science and Technology (KAUST)

Vijith Varma Kotte

Deep learning Signal processing Next generation wireless communications MIMO radars

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

Shahzad Gishkori

Postdoctoral Research Fellow (former), Information Science Lab

Signal processing image processing machine learning

Postdoctoral Research Fellow, Electrical and Computer Engineering , King Abdullah University of Science and Technology.

Rose Nasser Alaslani

M.S. Student (former), Electrical and Computer Engineering

wireless communication Signal processing Signal Applications

MS Student, Electrical and Computer Engineering King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq Al-Naffouri.

Reema Alnafisi

M.S. Student (former), Electrical and Computer Engineering

machine learning Signal processing Embedded systems. communication Indoor localization

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

Muhammad Saqib Sohail

Signal processing population genetics Computational biology

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

Mohammed Yasser Hosny Elrashidy

Signal processing medical electronics.

Remote internship program provided by KAUST under the supervision of Professor Tareq AlNaffouri.

Mohammad Tamim Alkhodary

Ph.D. (former), Electrical and Computer Engineering

machine learning Bayesian Compressive Sensing Radar imaging Ultra-wideband communication Signal processing cloud-native for B5G node clustering

Ph.D. degree in electrical engineering from the King Fahd University of Petroleum and Minerals. Postdoctoral Fellow at École de technologie supérieure, Montreal, QC, Canada

Mohamed A Suliman

Visiting Scholar (former), Information Science Lab

Optimal Regularization of Linear System Signal processing machine learning Big data analysis Sensor networks Random Matrix Theory

MS Degree at King Abdullah University of Science and Technology, Ph.D. candidate, Imperial College London..

Maria Sara Nour SADOUN

Visiting Student (former), Information Science Lab

Signal processing artificial intelligence development Rehabilitation nonlinear machine learning

Research internship in King Abdullah University of Science and Technology within EMANG as a Visiting Student on the topic of Epileptic Seizure Detection using Electroencephalography (EEG).

Krishnendu S Tharakan

Visiting Student (former), Electrical and Computer Engineering

optimization wireless network Signal processing

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

Khaled Alhujaili

Visiting Scholar, Information Science Lab

MIMO Signal processing detection and estimation convex optimization

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

Jing Cao

Visiting Student (former), Electrical and Computer Engineering

wireless communication Signal processing machine learning

Visiting student of MEWC 2024 in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.

Ismail Ben Atitallah

M.S., Computer, Electrical and Mathematical Sciences and Engineering

Sensor array processing Random Matrix Theory Robust estimation machine learning Data Sciences Signal processing

Ismail Ben Atitallah was a MS Thesis Student at King Abdullah University of Science and Technology (KAUST).

Israel Jesus Santos Filho

Pattern Recognition machine learning deep learning Compressive Sensing Signal processing Python MATLAB Scilab C++ JavaScript MySQL MongoDB GCP AWS

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.

Ibrahim Almuqbil

Intern (former), King Abdullah University of Science and Technology

Signal processing electrical engineering

Internship in King Abdullah University of Science and Technology (KAUST)

Ibrahim Alshehri

Signal processing machine learning quantum computing.

intern at King Abdullah University of Science and Technology(KAUST)

Heba Almorad

Visiting Researcher (former), King Abdullah University of Science and Technology

Communication Theory Signal processing biomedical electronics image processing satellite communication

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

Hakim Jemaa

Terahertz communications MIMO detection and decoding Signal processing Wireless Communications

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

Hadi Sarieddeen

Assistant Professor, Electrical and Computer Engineering , American University of Beirut (AUB)

Wireless Communications Signal processing Terahertz communications error-correction coding

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

Furrukh Sana

Ph.D. (former), Electrical and Computer Engineering

Tracking of Sparse Signals Biomedical Engineering Signal processing Bayesian Prediction Sparse Recovery

Research Fellow, Harvard Medical School, September 2018 - present. Assistant Professor, National University, Pakistan, Ph.D. Degree King Abdullah University of Science and Technology,

Damilola Sadiq Owodunni

Signal processing Wireless Communications

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

Bartłomiej Błeszyński

Visiting B.S. Student (former), Electrical and Computer Engineering

Signal processing Analog circuits RF engineering

Education BSC Electronic Engineering (2014 - 2018), Warsaw University of Technology, Poland Research Interest Signal processing, analog circuits, RF engineering

Basit Olakunle Alawode

machine learning Signal processing web development communication systems automation and embedded systems design mobile applications development

Visiting student at King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.

Asma Abdullah Sarouji

Visiting Student (former), Electrical and Computer Engineering

machine learning Signal processing communication Estimation IoT Electrical and Power engineering

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

Anum Ali

Intern (former), Information Science Lab

Signal processing wireless communications. deep learning Combating Impairments in OFDM Systems

Research Engineer KAUST (King Abdullah University of Science and Technology).Senior engineer at Samsung Research America.

Alice Faisal

Visiting Student (former), Electrical and Computer Engineering

wireless communication microelectronics Signal processing Terahertz communications 5G enabling technologies intelligent reflecting surfaces Ultra-massive MIMO systems Optical communications

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

Alam Zaib

channel estimation Massive MIMO blind equalization Signal processing communications Adaptive filtering machine learning

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

Ala Ahmad Dahman

Semi-blind seismic deconvolution using orthogonal clustering Signal processing channel estimation Adaptive filtering OFDM systems wireless and mobile communications.

Visiting Student at King Abdullah University of Science and Technology (KAUST), Project Manager - Saudi Business Machines Ltd.

Albaraa Omar Alrehaili

Visiting Student (former), Electrical and Computer Engineering

Signal processing image processing AI

Intern student in the Electrical Engineering Department, King Abdullah University of Science and Technology (KAUST).

Ahmed Mohammed Magbool

Signal processing communication Biomedical Engineering Signal Applications Terahertz communications non-orthogonal multiple access Reconfigurable Intelligent Surfaces

M.Sc. Degree in Electrical Engineering, King Abdullah University of Science and Technology (KAUST)

Abdullah Ahmed Zayat

wireless communication Signal processing machine learning indoor localization systems Biomedical Signal Processing

Visiting Student Research Program under the supervision of Professor Tareq Al-Naffouri ,Research Intern at King Abdullah University of Science and Technology (KAUST)

Salem Al-saqaf

IoT electronics artificial intelligence integrated circuits

Salem Al-Saqaf is an Electrical and Computer Engineer specializing in semiconductors, electronics and AI. He combines strong academic training with practical industry experience in AI-driven solutions, data science, and system optimization. His work spans applied research and real-world innovation, aiming to advance intelligent systems, enhance semiconductor applications, and develop technologies that bridge academic discovery with industrial impact.

Serine Medjber

Visiting Student (former), King Abdullah University of Science and Technology

Signal processing embedded systems IoT

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri

Mohammed Amine Labbas

Visiting Student (former), King Abdullah University of Science and Technology

IoT Signal processing wireless communications. embedded systems

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri

Ruochen Zhu

human body communication IoT

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 · Tue, Jan 21 2025

6g wireless systems connectivity NTN Communication Non-Terrestrial Networks IoT

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

KAUST-Engineered tool drives sustainable solutions in water conservation

3 min read · Sun, Dec 1 2024

IoT devices IoT AI Smart sensors Signal processing

KAUST’s startup EcoStream cuts water waste by 50% while promoting affordability and sustainability, winning the 2024 StartSmart prize.

Mohamed Ads

Visiting Student (former), King Abdullah University of Science and Technology

IoT Telecommunications Smart Wireless Massive Systems LED Wireless Communication Systems artificial intelligence machine learning Cyber Security

Visiting Student, King Abdullah University of Science and Technology

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

embedded systems IoT energy efficiency machine learning artificial intelligence intrusion detection computer networks

Ahsan Mehmood

Intern (former), Information Science Lab

IoT Biomedical Signal Processing healthcare Digital signal processing machine learning

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

ISL Student Osama Bushnaq does an Delft Internship

1 min read · Sun, Jul 28 2019

Summary of Delft internship : Advanced sensor networks are needed in order to meet the increasing needs of IoT applications, such as automated surveillance, environmental monitoring, smart cities, and so on. Optimal sensor placement, i.e., to select the best subset of sensing locations out of a large set of available locations, keeping in mind the network infrastructure and the inference task, forms an important sensor network design task. In this internship, the offline sensor selection for source estimation is improved by considering different practical issues such as observation accuracy

IoT

ISL PhD Student Osama Bushnaq does Internship at UBC

1 min read · Sun, Jul 28 2019

ISL PhD Student Osama Bushnaq did an internship at the University of British Coloumbia in Canada. His internship was focused on UAV-IoT. Every year, an average of 2.5 million hectares (ha) is burnt only in Canadian forests, which costs around 500 million to 1 billion Canadian dollars per year. The current forest fire detection methods such as satellite imaging and infrared cameras are not reliable. In order to detect forest fires before getting out of control, a new fire detection method based on Unmanned Aerial Vehicle Internet of Things (UAV-IoT) network was studied during this internship. A

UAV IoT

Drones deliver on internet connectivity

1 min read · Thu, Dec 12 2019

communications electrical engineering IoT

Hovering airborne vehicles could connect smart sensors to the internet of things.

To Boldly Go Where No Sensor Has Gone Before: The Movement to Place IoT in Radical New Spaces

1 min read · Mon, Jul 27 2020

IoT electrical engineering

The rapid growth of the world’s population demands more natural resources, food, and space. World renowned physicist Stephan Hawking has argued that soon we will require another world to live on because we are running out of space and natural resources. This ever-increasing demand for resources and space needs novel technologies to explore natural resources, produce more crops, and explore outer space. Internet of X-things (X-IoT) is an enabling technology to overcome all of the above issues. The framework of X-IoT consists of three major categories as shown in Figure 1. The first one is the

Professor Tareq Al-Naffouri Colloquium

1 min read · Tue, Jul 28 2020

IoT Sensor array processing

On March 12th, Professor Tareq Al-Naffouri delivered an online public colloquium titled, "Sensing, Localization, and Communications to Enable Future IoT Systems". The abstract of the article can be found here

KAUST-KFUPM collaboration wins top honors at STC AIoT Hackathon

1 min read · Mon, Nov 29 2021

IoT agriculture artificial intelligence drones

A team composed of KAUST and King Fahd University of Petroleum and Minerals (KFUPM) students was one of three winning teams of this year’s Saudi Telecom Company (STC) AIoT (AI & IoT) Hackathon. The KAUST entry, AgriDoctor, a proposed autonomous, sustainable, intelligent agriculture system, was a standout pick for the competition judges from a pool of 110 project submissions and 350 participants.

Raphael Bridi

software development machine learning IoT

Ph.D. Student, Electrical and Computer Engineering ,King Abdullah University of Science and Technology (KAUST).

Osama Bushnaq

Ph.D. (former), Electrical and Computer Engineering

statistical signal processing wireless sensor networks networks and wireless communications Unmanned aerial vehicles UAVs enabled wireless networks Stochastic Geometry IoT 5G/6G

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

Omar Khalifa

AI IoT communication systems

PhD student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST) ,working under the supervision of Prof. Tareq Al-Naffouri.

Nour Kouzayha

Research Scientist, King Abdullah University of Science and Technology

Stochastic Geometry energy harvesting Terahertz communications IoT

Research Scientist at King Abdullah University of Science and Technology.

Mohammed Abdullah Hussaini

Research Specialist, Electrical and Computer Engineering

embedded systems Frequency selective surfaces IoT artificial intelligence

Senior Embedded System Engineer at KAUST (King Abdullah University of Science and Technology)

Mohammed Ahmed

Postdoctoral Research Fellow (former), Information Science Lab

statistical signal processing Wireless Communications wireless sensor networks IoT cloud computing

post-doctoral fellow at L'École de technologie supérieure (ETS) de Montréal (Mtl) where he started on February 2014. he works with Prof. Georges Kaddoum.

Mohamed Saadeldin

Postdoctoral Research Fellow, Sensors

wearable electronics IoT acoustic signal detection Digital signal processing Ultra-wideband communication Acoustic sensing and communications Movement detection and tracking using RF and acoustic waves. Indoor positioning and navigation wearables

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

Mamdouh AlJoud

Intern (former), Information Science Lab

IoT machine learning Computer Vision.

Research Intern at King Abdullah University of Science and Technology (KAUS)

Asma Abdullah Sarouji

Visiting Student (former), Electrical and Computer Engineering

machine learning Signal processing communication Estimation IoT Electrical and Power engineering

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

Anas Saleh Mohammed

Visiting Student (former), Electrical and Computer Engineering

energy efficiency IoT power electronics bioelectronics Sensing

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

Abdallah Al-Moubayed

M.S. (former), Computer, Electrical and Mathematical Sciences and Engineering

wireless communication Cross-layer design machine learning cybersecurity Data Analytics Resource allocation wireless resource virtualization Device-to-Device Communication IoT e-learning performance and optimization modeling cloud computing Cooperative communications Collaborative instantly decodable network coding

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

Bushra Bin Hemid

M.S. Student

artificial intelligence machine learning information security privacy preserving techniques

MSc/PhD candidate in Artificial Intelligence at KAUST. Expertise in AI and information security. Research focuses on AI for infrared imaging, transforming sensing technologies for healthcare, agriculture, and smart infrastructure

Yanda Meng

Assistant Professor, Bioengineering

artificial intelligence medical image analysis machine learning LLM Large Language Models

Yanda Meng designs AI models to improve medical imaging and clinical decision-making.

Omar Ahmed

M.S. Student, Bioengineering

Computer Vision machine learning Computational Neuroscience Electroencephalograms artificial intelligence

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

Salem Al-saqaf

IoT electronics artificial intelligence integrated circuits

Salem Al-Saqaf is an Electrical and Computer Engineer specializing in semiconductors, electronics and AI. He combines strong academic training with practical industry experience in AI-driven solutions, data science, and system optimization. His work spans applied research and real-world innovation, aiming to advance intelligent systems, enhance semiconductor applications, and develop technologies that bridge academic discovery with industrial impact.

Najmeddine Dhieb

Research Engineer, Electrical and Computer Engineering

Deep learning Generative AI and LLMs artificial intelligence Computer Vision

Mohamed Ads

Visiting Student (former), King Abdullah University of Science and Technology

IoT Telecommunications Smart Wireless Massive Systems LED Wireless Communication Systems artificial intelligence machine learning Cyber Security

Visiting Student, King Abdullah University of Science and Technology

Yasmeen Alsaedy

M.S. Student, Computer Science

artificial intelligence Generative AI and LLMs

She is an AI researcher specializing in generative AI and deep learning. With a strong academic foundation and hands-on experience in machine learning, data science and artificial intelligence, she is passionate about advancing AI applications in real-world scenarios. She has contributed to cutting-edge projects, published research, and collaborated on innovative solutions that bridge the gap between AI theory and practice. Her expertise includes designing and implementing advanced data models, AI-driven visual/text computing, and deep learning architectures.

Yasser Jaber

Visiting Researcher (former), King Abdullah University of Science and Technology

machine learning software artificial intelligence

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

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

embedded systems IoT energy efficiency machine learning artificial intelligence intrusion detection computer networks

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab

artificial intelligence TinyML optimization deep learning

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

KAUST research group win inaugural MCIT Digital Innovation Award

1 min read · Mon, Jun 28 2021

digital innovation award smart tap artificial intelligence

A team of KAUST researchers have won first place in the Digital Research track at the inaugural Digital Innovation Awards held on Sunday, April 25, 2021. Launched by the Ministry of Communications and Information Technology (MCIT), the awards aim to “enhance the culture of innovation and entrepreneurship in digital research and development” in Saudi Arabia.

KAUST-KFUPM collaboration wins top honors at STC AIoT Hackathon

1 min read · Mon, Nov 29 2021

IoT agriculture artificial intelligence drones

A team composed of KAUST and King Fahd University of Petroleum and Minerals (KFUPM) students was one of three winning teams of this year’s Saudi Telecom Company (STC) AIoT (AI & IoT) Hackathon. The KAUST entry, AgriDoctor, a proposed autonomous, sustainable, intelligent agriculture system, was a standout pick for the competition judges from a pool of 110 project submissions and 350 participants.

Exciting News from LEAP2024!

1 min read · Sun, Mar 31 2024

artificial intelligence Data Analytics digital health

Exciting News from LEAP2024! We are thrilled to announce that our two innovative startup companies, Qawam and MOBiSENSE, participated in LEAP2024, showcasing their cutting-edge products and services. Qawam, known for its groundbreaking posture correction solutions, has now developed an app that utilizes sensors from Apple Airpods. This app eliminates the need for a separate clip-on device, providing consumers with a more convenient and seamless posture correction experience. MOBiSENSE specializes in extracting valuable insights for mobile network operators (MNOs) and communications services

Soumia Si Youcef

artificial intelligence robotics wireless networks communications

Dedicated electronics engineer currently pursuing a Master’s degree in Electrical and Computer Engineering at KAUST. With a strong foundation in electronics and artificial intelligence, I focus on designing innovative healthcare application devices. My research-driven mindset, hands-on experience in sensor-based projects, and commitment to impactful innovation reflect my dedication to pushing the boundaries of engineering in service of human well-being.

Mohammed Abdullah Hussaini

Research Specialist, Electrical and Computer Engineering

embedded systems Frequency selective surfaces IoT artificial intelligence

Senior Embedded System Engineer at KAUST (King Abdullah University of Science and Technology)

Maria Sara Nour SADOUN

Visiting Student (former), Information Science Lab

Signal processing artificial intelligence development Rehabilitation nonlinear machine learning

Research internship in King Abdullah University of Science and Technology within EMANG as a Visiting Student on the topic of Epileptic Seizure Detection using Electroencephalography (EEG).

Ahmed Ishak Patwa

Visiting Student, Electrical and Computer Engineering

artificial intelligence Medical Technology Generative AI and LLMs

Visiting student at King Abdullah University of Science and Technology, Systems Engineer at Qawam for Research and Studies, Jeddah, Saudi Arabia.

Abdulrahman Katranji

Visiting Student (former), Electrical and Computer Engineering

artificial intelligence renewable energy communication systems

Visiting student at the Information Science Lab (ISL) at King Abdullah University of Science and Technology.

Abdulmajeed Aljaloud

Visiting Student, Computer Science

Python machine learning data analysis artificial intelligence

Visiting Student Research Program ,Research Intern at King Abdullah University of Science and Technology (KAUST)

Anwar Alshaibani

Anwar Alshaibani > Appointments, Roles and Affiliations

AI machine learning deep learning

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

Yimeng Chen

Postdoctoral Research Fellow, Computer Science

machine learning nlp deep learning statistics computational probability Python

Yimeng Chen is a Postdoctoral Researcher in Prof. Jürgen Schmidhuber's research group at King Abdullah University of Science and Technology (KAUST).

Zakaria El Kassimi

machine learning deep learning Large Language Models

KAUST offers a unique environment where applied mathematics and data science meet real-world impact, with exceptional resources and a supportive community for ambitious research.

Adonai Vera

Intern, Image and Video Understanding Lab

Computer Vision Advanced Perception multimodal AI deep learning

Machine Learning Engineer with 6+ years of experience specializing in computer vision, deep learning, and robotics. Led AI solutions for retail analytics, UAV systems, and edge devices. Author, educator, and TensorFlow Google Developer Expert.

Juan Pablo Muñoz Díaz

Ph.D. Student, Applied Mathematics and Computational Science

applied mathematics bioscience Dynamical Systems deep learning bifurcation theory

FMCW Radar Applications for Automotive and Biomedical Applications

Vijith Varma Kotte, Ph.D. Student, Electrical and Computer Engineering

May 15, 15:00 - 17:00

B1 L3 R3119

deep learning Signal processing MIMO radars sensors

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

Karen Sanchez

Postdoctoral Research Fellow

Computer Vision machine learning AI for healthcare deep learning Medical imaging

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

Mhd. Emad Alolaby

Associate Editor, King Abdullah University of Science and Technology

Network Design telecommunication 5G networks GSM Digital Communications optical fiber AI deep learning MATLAB

Sixiu Liu

Ph.D. (former), Earth Science and Engineering

seismic processing deep learning

Ph.D. degree in Earth science and engineering with the King Abdullah University of Science and Technology (KAUST)

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab

artificial intelligence TinyML optimization deep learning

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

Israel Jesus Santos Filho

Pattern Recognition machine learning deep learning Compressive Sensing Signal processing Python MATLAB Scilab C++ JavaScript MySQL MongoDB GCP AWS

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.

Anum Ali

Intern (former), Information Science Lab

Signal processing wireless communications. deep learning Combating Impairments in OFDM Systems

Research Engineer KAUST (King Abdullah University of Science and Technology).Senior engineer at Samsung Research America.

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

4 min read · Sun, Mar 8 2026

6G 6g wireless systems artificial intelligence for wireless communication wireless communication

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

Reem Arnaout

Intern, King Abdullah University of Science and Technology

wireless communication Signal processing Radio Frequency Localization Differential privacy Federated learning Network and Software Security

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

Signal Alignment: a Practical Way to Communicate Under Unpredictable Interference

Nikolaos Sidiropoulos, Louis T. Rader Professor Electrical and Computer Engineering, University of Virginia, USA

May 14, 13:30 - 14:30

B1 L3 R3119

wireless communication

This talk introduces a practical method for reliable wireless communication amidst interference by using packet repetition and multi-antenna reception to achieve signal alignment, enabling packet recovery through geometric subspace intersection even against adversarial jammers.

Chengjie Zhao

Visiting Researcher, Information Science Lab

wireless communication Signal processing optimization machine learning

Visiting Student, King Abdullah University of Science and Technology

Almutasem Bellah Enad

Visiting Researcher (former), Information Science Lab

communication engineering Data detection and decoding coding techniques for Terahertz Massive MIMO Systems Signal processing wireless communication MATLAB Python

Visiting Student, King Abdullah University of Science and Technology, Present M.Eng in Electrical and Computer Engineering, American University of Beirut, Lebanon

Yao GE

wireless communication Signal processing game theory Physical layer security

Visiting Scholar with the Department of Computer, Electrical and Mathematical Science and Engineering, King Abdullah University of Science and Technology (KAUST)

Waqas Aman

Visiting Student (former), Electrical and Computer Engineering

intelligent reflecting surfaces wireless communication Terahertz signals Physical layer security Underwater Acoustic Communication Effective Capacity Analysis Stochastic Geometry

Remote Internship at King Abdullah University of Science and Technology (KAUST).

Rose Nasser Alaslani

M.S. Student (former), Electrical and Computer Engineering

wireless communication Signal processing Signal Applications

MS Student, Electrical and Computer Engineering King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq Al-Naffouri.

Muzammil Behzad

Visiting Researcher (former), Information Science Lab

Signal and Image Processing wireless communication Sensor networks

Visiting researcher at King Abdullah University of Science and Technology. Currently,

Mazen Mohamed Aboubakrelseddik Abouelezz

Intern, Computer, Electrical and Mathematical Sciences and Engineering

Localization wireless communication

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

Jing Cao

Visiting Student (former), Electrical and Computer Engineering

wireless communication Signal processing machine learning

Visiting student of MEWC 2024 in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.

Jie Ma

wireless communication control systems

MS/PhD student Electrical and Computer Engineering under the supervision of Prof. Tareq Al-Naffouri at King Abdullah University of Science and Technology (KAUST),

Ali Hanif

wireless communication radar applications Deep learning

Ali Hanif is currently a PhD student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).

Alice Faisal

Visiting Student (former), Electrical and Computer Engineering

wireless communication microelectronics Signal processing Terahertz communications 5G enabling technologies intelligent reflecting surfaces Ultra-massive MIMO systems Optical communications

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

Abdulwahab Felemban

Digital signal processing image processing machine learning wireless communication

Ph.D. Student, Electrical and Computer Engineering CEMSE, King Abdullah University of Science and Technology (KAUST),completed MSc under the supervision of Prof. Tareq Al-Naffouri.

Abdullah Ahmed Zayat

wireless communication Signal processing machine learning indoor localization systems Biomedical Signal Processing

Visiting Student Research Program under the supervision of Professor Tareq Al-Naffouri ,Research Intern at King Abdullah University of Science and Technology (KAUST)

Abdallah Al-Moubayed

M.S. (former), Computer, Electrical and Mathematical Sciences and Engineering

wireless communication Cross-layer design machine learning cybersecurity Data Analytics Resource allocation wireless resource virtualization Device-to-Device Communication IoT e-learning performance and optimization modeling cloud computing Cooperative communications Collaborative instantly decodable network coding

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

Reem Alzahrani

Ph.D. Student

Deep learning nlp Computer Vision Large Language Models vision language models Multi-Modal Large Language Models

Reem Alzahrani is an MS/PhD student at KAUST, working on Large Language Models and Vision-Language Models. Her research focuses on identifying and addressing the limitations of AI systems to improve their robustness and reliability.

Ansar Khangeldin

M.S. Student

Computer Vision Reinforcement Learning Multi-agent systems autonomous systems

Ms/PhD Electrical and Computer Engineering student. Have a background in Applied Mathematics, Control Theory, Machine Learning Research and Development, Multi-Agent Reinforcement Learning. Main research interests are application and enhancement of CV methods in autonomous systems (AVs, Robotics, UAVs).

Drishya Karki

Intern

Computer Vision Temporal Activity Localization Multi-Modal Learning representation learning Graph Learning

Research Intern working under the supervision of Dr. Silvio Giancola as a part of KAUST-FIFA Research Institute.

Nanbo Li

Postdoctoral Research Fellow, Computer Science

machine learning AI Deep generative models generative ai Computer Vision

Nanbo Li is a Postdoctoral Fellow working in Prof. Jürgen Schmidhuber research group at the King Abdullah University of Science and Technology (KAUST) Center of Excellence for Generative AI.

Omar Ahmed

M.S. Student, Bioengineering

Computer Vision machine learning Computational Neuroscience Electroencephalograms artificial intelligence

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

Dalal E. Aldossary

M.S. Student, Computer Science

machine learning Electroencephalograms Computer Vision Computational Neuroscience

Dalal Aldossary is a Master’s student in Computer Science at KAUST. She is part of the VISION-CAIR and the Neuroscience & AI Lab (NAIL), where she works on developing machine learning models that interpret and learn EEG representations and behavior.

Adonai Vera

Intern, Image and Video Understanding Lab

Computer Vision Advanced Perception multimodal AI deep learning

Machine Learning Engineer with 6+ years of experience specializing in computer vision, deep learning, and robotics. Led AI solutions for retail analytics, UAV systems, and edge devices. Author, educator, and TensorFlow Google Developer Expert.

Abdelrahman Eldesokey

Postdoctoral Research Fellow

Computer Vision Diffusion Models Vision Foundation Models Multi-Modal Large Language Models

Abdelrahman Eldesokey is a Postdoctoral Fellow at KAUST, working on Generative AI and Computer Vision. His research focuses on diffusion models, multimodal large language models, and vision foundation models, aiming to make generative systems more controllable, interpretable, and reliable.

Najmeddine Dhieb

Research Engineer, Electrical and Computer Engineering

Deep learning Generative AI and LLMs artificial intelligence Computer Vision

Karen Sanchez

Postdoctoral Research Fellow

Computer Vision machine learning AI for healthcare deep learning Medical imaging

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

Aznaur Aliev

M.S. Student

AI Deep learning Computer Vision Reinforcement Learning

Hani A. Al Majed

M.S. Student

machine learning Computer Vision AI4Science

Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science

Computer Vision machine learning Deep generative models

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

Hajer Abbas

Visiting Student (former), Electrical and Computer Engineering

machine learning Computer Vision Data Visualization.

Visiting Student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).

Racha Zayni

Visiting Researcher, Information Science Lab

machine learning Data Analytics Wireless Communications AI-based Localization Signal processing

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

Chaabane Mankai

Wireless Communications optimization Performance analysis network security

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

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

2 min read · Sun, Feb 2 2025

IEEE Wireless Communications

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

Saleh AlJazzar

Visiting Scholar (former), King Abdullah University of Science and Technology

Signal processing Wireless Communications machine learning

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

Measurement Selection: A Random Matrix Theory Approach

1 min read · Thu, May 30 2019

Random Matrix Theory Measurement Wireless Communications

Khalil Elkhalil , Student Member, IEEE, Abla Kammoun, Member, IEEE, Tareq Y. Al-Naffouri, Member, IEEE, and Mohamed-Slim Alouini , Fellow, IEEE Abstract This paper considers the problem of selecting a set of k measurements from n available sensor observations. The selected measurements should minimize a certain error function assessing the error in estimating a certain m dimensional parameter vector. The exhaustive search inspecting each of the (n) possible choices would require very high computational k complexity and as such is not practical for large n and k. Alternative methods with low

Wireless Monitoring of Respiration and Heart Rates

1 min read · Wed, Aug 7 2019

Wireless Communications health monitoring

ISL Visiting Students Safwan Ibrahim and Abdullah Zayat worked on a wireless monitoring of respiration and heart rates project. This project introduced a wireless method to detect chest movement due to respiration and heartbeats. Universal Software Radio Peripheral (NI USRP-2922) was used to transmit and receive the signals, while two can-antennas were handmade and used as a transmitter and a receiver. The project was able to measure the respiration and heart rates with an accuracy of 95%, compared to the conventional wired monitoring devices.

Nasir Saeed

Postdoctoral Research Fellow, Electrical and Computer Engineering

heterogenous vertical networks multi-dimensional signal processing Localization Wireless Communications non-conventional communication networks Underwater Optical Wireless Communications and Networking

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

Mohammed Ahmed

Postdoctoral Research Fellow (former), Information Science Lab

statistical signal processing Wireless Communications wireless sensor networks IoT cloud computing

post-doctoral fellow at L'École de technologie supérieure (ETS) de Montréal (Mtl) where he started on February 2014. he works with Prof. Georges Kaddoum.

Hakim Jemaa

Terahertz communications MIMO detection and decoding Signal processing Wireless Communications

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

Hadi Sarieddeen

Assistant Professor, Electrical and Computer Engineering , American University of Beirut (AUB)

Wireless Communications Signal processing Terahertz communications error-correction coding

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

Damilola Sadiq Owodunni

Signal processing Wireless Communications

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

Ayed M. Alrashdi

Ph.D. Student (former), Electrical and Computer Engineering

statistical signal processing Compressive Sensing high dimensional statistics mathematical optimization statistical learning Wireless Communications

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

Signal noise annoys no more

1 min read · Mon, Jul 13 2015

electrical engineering signals

Identifying noise in communication signals helps to filter out glitches and improve transmission quality.

Wireless devices tune-in to cloud power

1 min read · Sat, Feb 6 2016

Next-generation mobile networks can use cloud computing algorithms to manage the increasingly high data demands of users.

electrical engineering

The crest of waveforms for next-gen radar

1 min read · Sat, May 6 2017

electrical engineering Computer science radar

A new method for shaping the waveform generated by multi-antenna radar systems is inexpensive and practical.

Marine exploration sensing with light and sound

1 min read · Sun, Mar 11 2018

marine exploration electrical engineering Sensor networks

Unveiling new strategies to improve future wireless underwater sensing networks for marine research and communication.

Lighting the way to the underwater Internet of things

1 min read · Wed, Jan 2 2019

underwater sensor platform electrical engineering communications

An optical system for monitoring underwater sensor positions could enable large networks of devices to be deployed for ocean measurements.

Drones deliver on internet connectivity

1 min read · Thu, Dec 12 2019

communications electrical engineering IoT

Hovering airborne vehicles could connect smart sensors to the internet of things.

Internet of underground things to reveal buried vistas

1 min read · Sun, Feb 9 2020

fuel-resources communications electrical engineering

Pinpoint mesh of smart underground objects could give real-time 3D readout of fossil fuel reserves.

A clique away from more efficient networks

1 min read · Sun, Jun 14 2020

networks connectivity applied mathematics electrical engineering

An old branch of mathematics finds a fertile new field of application.

To Boldly Go Where No Sensor Has Gone Before: The Movement to Place IoT in Radical New Spaces

1 min read · Mon, Jul 27 2020

IoT electrical engineering

The rapid growth of the world’s population demands more natural resources, food, and space. World renowned physicist Stephan Hawking has argued that soon we will require another world to live on because we are running out of space and natural resources. This ever-increasing demand for resources and space needs novel technologies to explore natural resources, produce more crops, and explore outer space. Internet of X-things (X-IoT) is an enabling technology to overcome all of the above issues. The framework of X-IoT consists of three major categories as shown in Figure 1. The first one is the

Ibrahim Almuqbil

Intern (former), King Abdullah University of Science and Technology

Signal processing electrical engineering

Internship in King Abdullah University of Science and Technology (KAUST)

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

Khalil Elkhalil, Postdoctoral Research Fellow, Electrical and Computer Engineering

Jun 24, 09:00 - 10:00

B1 L4 R4214

Random Matrix Theory machine learning high dimensional statistics data science

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

Measurement Selection: A Random Matrix Theory Approach

1 min read · Thu, May 30 2019

Random Matrix Theory Measurement Wireless Communications

Khalil Elkhalil , Student Member, IEEE, Abla Kammoun, Member, IEEE, Tareq Y. Al-Naffouri, Member, IEEE, and Mohamed-Slim Alouini , Fellow, IEEE Abstract This paper considers the problem of selecting a set of k measurements from n available sensor observations. The selected measurements should minimize a certain error function assessing the error in estimating a certain m dimensional parameter vector. The exhaustive search inspecting each of the (n) possible choices would require very high computational k complexity and as such is not practical for large n and k. Alternative methods with low

ISL Student Khalil ElKhalil does internship at Duke University

1 min read · Thu, Aug 8 2019

Random Matrix Theory machine learning statistical finance

ISL PhD student Khalil ElKhalil was a visiting Duke university from September 2018 to March 2019. Khalil was working with Vahid Tarokh on topics related to random matrix theory, machine learning and statistical finance.

Xiaoke Yang

Visiting Scholar, Information Science Lab

algorithms Random Matrix Theory Analysis of Supervised Learning Algorithms Regularized Discriminant Analysis

PhD candidate at King Abdullah University of Science and Technology. Visiting Scholar, Information Science Lab

Muath Mahdi

Ph.D. (former), Electrical and Computer Engineering

Statistical and array signal processing Signal Applications OFDM System Random Matrix Theory Discriminant analysis.

Postdoctoral Fellow with the Electrical Engineering Department, King Abdullah University of Science and Technology (KAUST)

Mohamed A Suliman

Visiting Scholar (former), Information Science Lab

Optimal Regularization of Linear System Signal processing machine learning Big data analysis Sensor networks Random Matrix Theory

MS Degree at King Abdullah University of Science and Technology, Ph.D. candidate, Imperial College London..

Mahmoud Hassan Ghazal

Applications Random Matrix Theory Graph Theory Randomly Projected Regression

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

Lama Burhan Niyazi

Ph.D. (former), Electrical and Computer Engineering

Random Matrix Theory machine learning

Ph.D. degree in the Communication Theory Lab (CTL) under the joint supervision of Professor Mohamed-Slim Alouini and Professor Tareq Al-Naffouri , King Abdullah University of Science and Technology (KAUST)

Khalil Elkhalil

Postdoctoral Research Fellow, Electrical and Computer Engineering

machine learning high dimensional statistics data science Random Matrix Theory Selected Applications statistical signal processing Supervised Learning Algorithms Feedback Reduction in Multiuser and Relay Networks

PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.

Ismail Ben Atitallah

M.S., Computer, Electrical and Mathematical Sciences and Engineering

Sensor array processing Random Matrix Theory Robust estimation machine learning Data Sciences Signal processing

Ismail Ben Atitallah was a MS Thesis Student at King Abdullah University of Science and Technology (KAUST).

Anwar Alshaibani

Anwar Alshaibani > Appointments, Roles and Affiliations

AI machine learning deep learning

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

Nanbo Li

Postdoctoral Research Fellow, Computer Science

machine learning AI Deep generative models generative ai Computer Vision

Nanbo Li is a Postdoctoral Fellow working in Prof. Jürgen Schmidhuber research group at the King Abdullah University of Science and Technology (KAUST) Center of Excellence for Generative AI.

KAUST-Engineered tool drives sustainable solutions in water conservation

3 min read · Sun, Dec 1 2024

IoT devices IoT AI Smart sensors Signal processing

KAUST’s startup EcoStream cuts water waste by 50% while promoting affordability and sustainability, winning the 2024 StartSmart prize.

Aznaur Aliev

M.S. Student

AI Deep learning Computer Vision Reinforcement Learning

Mhd. Emad Alolaby

Associate Editor, King Abdullah University of Science and Technology

Network Design telecommunication 5G networks GSM Digital Communications optical fiber AI deep learning MATLAB

Mohammed A Shukri

Consultant (former), King Abdullah University of Science and Technology

Neural Networks AI Python BLE communication

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

Omar Khalifa

AI IoT communication systems

PhD student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST) ,working under the supervision of Prof. Tareq Al-Naffouri.

Hamzeh Abu Qamar

Master of Science, King Abdullah University of Science and Technology

AI ML medical applications.. bioelectronics Biosensors

MS Student, Electrical, Electronics and Communications Engineering at King Abdullah University of Science and Technology (KAUST).

Albaraa Omar Alrehaili

Visiting Student (former), Electrical and Computer Engineering

Signal processing image processing AI

Intern student in the Electrical Engineering Department, King Abdullah University of Science and Technology (KAUST).

Muhammad Samiullah

Intern, Cyber Security and Resilience Technology

cybersecurity ML FPGA LLM

Cyber Security, FPGA security, AI/ML security

Omar Rushdi

Visiting Student

Cyber Security, Phishing Detection, LLM

Jalal Saleem

Visiting Student

Cyber Security, LEO Satellite Constellation, Collision Avoidance

Ahmar Husain

Visiting Student

Cyber Security, Malware Analysis, LLM

Abidalrahman Obaidi

Visiting Student

Cybersecurity, Intrusion DetectionIDS, LLMs

Abdullah Alobaidi

Visiting Student

cybersecurity trusted execution environments automotive security V2X blockchain

Cybersecurity, SOC Analysis, SIEM, LLM

Ahmad Didouh

Postdoctoral Research Fellow

Ali Hassan

Instructional Professor, Computer Science

cybersecurity malware

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

Abdallah Al-Moubayed

M.S. (former), Computer, Electrical and Mathematical Sciences and Engineering

wireless communication Cross-layer design machine learning cybersecurity Data Analytics Resource allocation wireless resource virtualization Device-to-Device Communication IoT e-learning performance and optimization modeling cloud computing Cooperative communications Collaborative instantly decodable network coding

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

Yang Xiao

Ph.D. Student, Statistics

spatio-temporal statistics bayesian inference Public Health Adaptive modeling forecasting Python

Yang Xaio research specializes in the development of advanced spatio-temporal models and Bayesian frameworks.

David De Jesus

Postdoctoral Research Fellow, Applied Mathematics and Computational Science

data analysis NumPy PDEs stochastic processes probability theory Python TensorFlow

David's research focuses on the regularity of solutions to degenerate elliptic and parabolic partial differential equations as well as free boundary problems.

Yimeng Chen

Postdoctoral Research Fellow, Computer Science

machine learning nlp deep learning statistics computational probability Python

Yimeng Chen is a Postdoctoral Researcher in Prof. Jürgen Schmidhuber's research group at King Abdullah University of Science and Technology (KAUST).

Amal Alghamdi

Founder, Impact Alpha, Saudi Arabia

HPC Python data analysis finite element method uncertainty quantification

Almutasem Bellah Enad

Visiting Researcher (former), Information Science Lab

communication engineering Data detection and decoding coding techniques for Terahertz Massive MIMO Systems Signal processing wireless communication MATLAB Python

Visiting Student, King Abdullah University of Science and Technology, Present M.Eng in Electrical and Computer Engineering, American University of Beirut, Lebanon

Mohammed A Shukri

Consultant (former), King Abdullah University of Science and Technology

Neural Networks AI Python BLE communication

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

Ratbek Zhapparov

MATLAB Java implementation Python

Research Intern at King Abdullah University of Science and Technology (KAUS)

Israel Jesus Santos Filho

Pattern Recognition machine learning deep learning Compressive Sensing Signal processing Python MATLAB Scilab C++ JavaScript MySQL MongoDB GCP AWS

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.

Abdulmajeed Aljaloud

Visiting Student, Computer Science

Python machine learning data analysis artificial intelligence

Visiting Student Research Program ,Research Intern at King Abdullah University of Science and Technology (KAUST)

Saverio Pasqualoni

M.S. Student, Computer Science

collective communication HPC computer networking and systems

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.

Abdullatif Al-Rabah

Signal processing communication Network Design

MS Degree, Computer, Electrical and Mathematical Sciences and Engineering at King Abdullah University of Science and Technology (KAUST).

Somayah Shafa-amri

Digital signal processing communication Mathematical Analysis

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

Reema Alnafisi

M.S. Student (former), Electrical and Computer Engineering

machine learning Signal processing Embedded systems. communication Indoor localization

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

Mohammed Hussain AlSharif

Postdoctoral Research Fellow, California Institute of Technology (Caltech)

Hand Gestures Recognition Ultrasonic-based Localization indoor localization systems underwater acoustic localization communication signal design machine learning

Dr. Mohammed AlSharif is a Postdoctoral Fellow at the California Institute of Technology (Caltech) and a recipient of the KAUST Ibn Rushd Fellowship. His research bridges Riemannian geometry, statistical estimation, and learning for autonomous systems, with applications to high-accuracy pose estimation and robotics.

Asma Abdullah Sarouji

Visiting Student (former), Electrical and Computer Engineering

machine learning Signal processing communication Estimation IoT Electrical and Power engineering

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

Ahmed Mohammed Magbool

Signal processing communication Biomedical Engineering Signal Applications Terahertz communications non-orthogonal multiple access Reconfigurable Intelligent Surfaces

M.Sc. Degree in Electrical Engineering, King Abdullah University of Science and Technology (KAUST)

Ahmed Abdul Quadeer

Semi-blind Channel and Data Recovery in OFDM statistical signal processing Computational biology communication

Research Intern at King Abdullah University of Science and Technology (KAUST), The Hong Kong University of Engineering and Technology

Abdelgabar Ahmed

Indoor localization Autonomous Navigation Sensor Fusion

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

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

Mohammed Hussain AlSharif, Postdoctoral Research Fellow, California Institute of Technology (Caltech)

Dec 16, 14:00 - 15:00

B1 L3 R3119

Indoor localization Ultrasonic-based Localization Signal processing

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

Mohammed Al-Sharif Does Internship at California Institute of Technology

1 min read · Tue, Jul 28 2020

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

Indoor localization

Sameh Sorour

Postdoctoral Research Fellow (former), Communication Theory Lab

network coding wireless networks Vehicular networks and intelligent transportation systems Indoor localization cognitive radio networks.

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

Safwan .H Ibrahim

Visiting Student (former), King Abdullah University of Science and Technology

Indoor localization wireless monitoring ultrasound ranging

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

Reema Alnafisi

M.S. Student (former), Electrical and Computer Engineering

machine learning Signal processing Embedded systems. communication Indoor localization

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

Khaqan Majeed

Indoor localization machine learning Biomedical Signal Processing

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

Hui Chen

Ph.D. Student (former), Electrical and Computer Engineering

Indoor localization Hand Gestures Recognition

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

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

1 min read · Tue, Feb 26 2013

Distribution Agnostic Bayesian Estimation of Sparse Signals communications tracking statistical signal processing

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

Tareq Al-Naffouri

statistical signal processing communications tracking wireless networks Localization

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

Syed Faraz Ahmed

channel estimation Deconvolution in UWB Computational Immunology statistical signal processing Bio-Medical Signal Processing Computational Neuroscience

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

Osama Bushnaq

Ph.D. (former), Electrical and Computer Engineering

statistical signal processing wireless sensor networks networks and wireless communications Unmanned aerial vehicles UAVs enabled wireless networks Stochastic Geometry IoT 5G/6G

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

Mohammed Ahmed

Postdoctoral Research Fellow (former), Information Science Lab

statistical signal processing Wireless Communications wireless sensor networks IoT cloud computing

post-doctoral fellow at L'École de technologie supérieure (ETS) de Montréal (Mtl) where he started on February 2014. he works with Prof. Georges Kaddoum.

Khalil Elkhalil

Postdoctoral Research Fellow, Electrical and Computer Engineering

machine learning high dimensional statistics data science Random Matrix Theory Selected Applications statistical signal processing Supervised Learning Algorithms Feedback Reduction in Multiuser and Relay Networks

PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.

Ayed M. Alrashdi

Ph.D. Student (former), Electrical and Computer Engineering

statistical signal processing Compressive Sensing high dimensional statistics mathematical optimization statistical learning Wireless Communications

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

Ahmed Abdul Quadeer

Semi-blind Channel and Data Recovery in OFDM statistical signal processing Computational biology communication

Research Intern at King Abdullah University of Science and Technology (KAUST), The Hong Kong University of Engineering and Technology

Waqas Aman

Visiting Student (former), Electrical and Computer Engineering

intelligent reflecting surfaces wireless communication Terahertz signals Physical layer security Underwater Acoustic Communication Effective Capacity Analysis Stochastic Geometry

Remote Internship at King Abdullah University of Science and Technology (KAUST).

Ruslan Zhagypar

machine learning wireless networks Stochastic Geometry Sound Source Localization

MS/PhD Student, Electrical and Computer Engineering , King Abdullah University of Science and Technology

Rabe Arshad

Visiting Student, Electrical and Computer Engineering

Cellular Communication Stochastic Geometry Heterogeneous Wireless Networks Cooperative networks Handover management in wireless networks Stochastic Geometry modeling of wireless networks Performance evaluation of 5G cellular networks

Visiting student at King Abdullah University of Science and Technology. Currently, he is a Ph.D. candidate at the University of British Columbia, Canada.

Osama Bushnaq

Ph.D. (former), Electrical and Computer Engineering

statistical signal processing wireless sensor networks networks and wireless communications Unmanned aerial vehicles UAVs enabled wireless networks Stochastic Geometry IoT 5G/6G

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

Nour Kouzayha

Research Scientist, King Abdullah University of Science and Technology

Stochastic Geometry energy harvesting Terahertz communications IoT

Research Scientist at King Abdullah University of Science and Technology.

Mostafa Mohamed Lotfy Emara

Postdoctoral Research Fellow (former), Electrical and Computer Engineering

Research Design of Caching Systems using Stochastic Geometry Statistical Modeling wireless networks Stochastic Geometry machine learning

PhD Student, Electrical and Computer Engineering at KAUST (King Abdullah University of Science and Technology)

Laila Hesham Afify

Postdoctoral Research Fellow (former), Electrical and Computer Engineering

Stochastic Geometry Heterogeneous networks Self-organizing Networks Intelligent Transportation Systems Signal processing for Wireless Networks

Postdoctoral Research Fellow Electrical and Computer Engineering (KAUST), Assistant Professor, School of Engineering and Applied Sciences, Nile University, Egypt

Ahmed Bader

Research Scientist, Electrical and Computer Engineering

Energy-efficient wireless multihop networks Cross-layer protocol design Stochastic Geometry Performance analysis RF Detection

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

Tareq Al-Naffouri

statistical signal processing communications tracking wireless networks Localization

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

Taha Bouchoucha

M.S., Computer, Electrical and Mathematical Sciences and Engineering

MIMO radars wireless sensor networks wireless networks social networks. connectivity

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

Soumia Si Youcef

artificial intelligence robotics wireless networks communications

Dedicated electronics engineer currently pursuing a Master’s degree in Electrical and Computer Engineering at KAUST. With a strong foundation in electronics and artificial intelligence, I focus on designing innovative healthcare application devices. My research-driven mindset, hands-on experience in sensor-based projects, and commitment to impactful innovation reflect my dedication to pushing the boundaries of engineering in service of human well-being.

Sameh Sorour

Postdoctoral Research Fellow (former), Communication Theory Lab

network coding wireless networks Vehicular networks and intelligent transportation systems Indoor localization cognitive radio networks.

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

Ruslan Zhagypar

machine learning wireless networks Stochastic Geometry Sound Source Localization

MS/PhD Student, Electrical and Computer Engineering , King Abdullah University of Science and Technology

Mostafa Mohamed Lotfy Emara

Postdoctoral Research Fellow (former), Electrical and Computer Engineering

Research Design of Caching Systems using Stochastic Geometry Statistical Modeling wireless networks Stochastic Geometry machine learning

PhD Student, Electrical and Computer Engineering at KAUST (King Abdullah University of Science and Technology)

Mohammed E. Eltayeb

wireless networks Performance analysis communication networks millimeter-wave communications Intelligent Transportation Systems

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

Bayan Aloqaybe

wireless networks Desing of UAV-based Wireless Networks

MS Degree, Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST)

Lighting the way to the underwater Internet of things

1 min read · Wed, Jan 2 2019

underwater sensor platform electrical engineering communications

An optical system for monitoring underwater sensor positions could enable large networks of devices to be deployed for ocean measurements.

Drones deliver on internet connectivity

1 min read · Thu, Dec 12 2019

communications electrical engineering IoT

Hovering airborne vehicles could connect smart sensors to the internet of things.

Internet of underground things to reveal buried vistas

1 min read · Sun, Feb 9 2020

fuel-resources communications electrical engineering

Pinpoint mesh of smart underground objects could give real-time 3D readout of fossil fuel reserves.

Tareq Al-Naffouri

statistical signal processing communications tracking wireless networks Localization

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

Soumia Si Youcef

artificial intelligence robotics wireless networks communications

Dedicated electronics engineer currently pursuing a Master’s degree in Electrical and Computer Engineering at KAUST. With a strong foundation in electronics and artificial intelligence, I focus on designing innovative healthcare application devices. My research-driven mindset, hands-on experience in sensor-based projects, and commitment to impactful innovation reflect my dedication to pushing the boundaries of engineering in service of human well-being.

Alam Zaib

channel estimation Massive MIMO blind equalization Signal processing communications Adaptive filtering machine learning

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

Ahmed Foud Ali Mehdi AlMehdhar

Visiting Student (former), Electrical and Computer Engineering

communications electronics machine learning algorithms

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

Energy Conservation in Adaptive Filtering

1 min read · Wed, Aug 7 2019

energy storage Adaptive filtering ISL Highlighted Publications

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

On the Distribution of Indefinite Quadratic Forms in Gaussian Random Variables

1 min read · Tue, Aug 6 2019

guassian random variables ISL Highlighted Publications

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

Compressive Sensing for Millimeter Wave Antenna Array Diagnosis

1 min read · Tue, Aug 6 2019

array diagnosis antenna arrays ISL Highlighted Publications

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

Impulse Noise Estimation and Removal for OFDM Systems", IEEE Transactions on Communications

1 min read · Tue, Aug 6 2019

impulse noise estimation ISL Highlighted Publications

T. Y. Al-Naffouri and A. A. Quadeer and G. Caire, "Impulse Noise Estimation and Removal for OFDM Systems", IEEE Transactions on Communications. vol. 62 , pp. 976-989, Mar 2014 Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is a modulation scheme that is widely used in wired and wireless communication systems. While OFDM is ideally suited to deal with frequency selective channels and AWGN, its performance may be dramatically impacted by the presence of impulse noise. In fact, very strong noise impulses in the time domain might result in the erasure of whole OFDM blocks of symbols

Mobility-Aware User Association in Uplink Cellular Networks

1 min read · Tue, Aug 6 2019

Cellular Networks ISL Highlighted Publications

R. Arshad and H. Elsawy and S. Sorour and M. S. Alouini and T. Y. Al-Naffouri, "Mobility-Aware User Association in Uplink Cellular Networks", IEEE Communications Letters. vol. 21 , pp. 2452-2455, Nov 2017. Abstract: This letter studies the mobility aware user-to-base station (BS) association policies, within a stochastic geometry framework, in two-tier uplink cellular networks with fractional channel inversion power control. Particularly, we model the BSs’ locations using the widely accepted Poisson point process and obtain the coverage probability and handover cost expressions for the coupled

SNR Estimation in Linear Systems With Gaussian Matrices

1 min read · Tue, Aug 6 2019

SNR estimation Guassian matrices ISL Highlighted Publications

M. A. Suliman and A. M. Alrashdi and T. Ballal and T. Y. Al-Naffouri, "SNR Estimation in Linear Systems With Gaussian Matrices", IEEE Signal Processing Letters. vol. 24 , pp. 1867-1871, Dec 2017. Abstract: This letter proposes a highly accurate algorithm to estimate the signal-to-noise ratio (SNR) for a linear system from a single realization of the received signal. We assume that the linear system has a Gaussian matrix with one sided left correlation. The unknown entries of the signal and the noise are assumed to be independent and identically distributed with zero mean and can be drawn from

Transient analysis of data-normalized adaptive filters

1 min read · Tue, Aug 6 2019

transient analysis filters ISL Highlighted Publications

T. Y. Al-Naffouri and A. H. Sayed, "Transient analysis of data-normalized adaptive filters", IEEE Transactions on Signal Processing. vol. 51 , pp. 639-652, Mar 2003. Abstract: This paper develops an approach to the transient analysis of adaptive filters with data normalization. Among other results, the derivation characterizes the transient behavior of such filters in terms of a linear time-invariant state-space model. The stability, of the model then translates into the mean-square stability of the adaptive filters. Likewise, the steady-state operation of the model provides information about

Thomas Trigo Trindade

Research Consultant, Stochastic Numerics Research Group

uncertainty quantification numerical analysis data assimilation

Lajos Lóczi

Research Scientist, Applied Mathematics and Computational Science

numerical methods PDEs ODEs stability analysis numerical discretization qualitative theory numerical analysis

Lajos Lóczi research focuses on the symbolic aspects of numerical methods for differential equations.

Abdul-Lateef Haji-Ali

Ph.D., Applied Mathematics and Computational Science

uncertainty quantification numerical analysis Multilevel Monte Carlo

Shyam Mohan Subbiah Pillai

Research Consultant, Stochastic Numerics Research Group

numerical analysis uncertainty quantification stochastic differential equations

Abderrahmene Ben Romdhane

M.S. Student, Stochastic Numerics Research Group

numerical analysis Computational finance uncertainty quantification

Arved Bartuska

Postdoctoral Research Fellow, Stochastic Numerics Research Group

numerical analysis uncertainty quantification optimal experimental design

Georgios Grekas

Postdoctoral Research Fellow, Applied Mathematics and Computational Science

solid mechanics biomechanics numerical analysis scientific computing

Georgios Grekas research focuses on mathematical modeling (biomechanics, solid mechanics), numerical analysis, scientific and parallel computing, and scientific machine learning.

Chengjie Zhao

Visiting Researcher, Information Science Lab

wireless communication Signal processing optimization machine learning

Visiting Student, King Abdullah University of Science and Technology

Chaabane Mankai

Wireless Communications optimization Performance analysis network security

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

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab

artificial intelligence TinyML optimization deep learning

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

Stochastic Optimization in Target Positioning and Location-based Applications

Hui Chen, Ph.D. Student (former), Electrical and Computer Engineering

Jul 27, 17:00 - 19:00

KAUST

stochastic algorithm optimization Hand Gestures Recognition

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.

Krishnendu S Tharakan

Visiting Student (former), Electrical and Computer Engineering

optimization wireless network Signal processing

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

Ebrahim Al-Safadi

Visiting B.S. Student, Information Science Lab

machine learning multi-modal transformer models deep learning approaches optimization program synthesis Applications of compressive sensing for PAPR reduction in OFDM

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

Ahmed Douik

M.S. (former), Computer, Electrical and Mathematical Sciences and Engineering

optimization non-convex methods machine learning cloud-radio access networks network coding Cooperative communications Broadcast and Multicast Networks

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

Polina Morozova

M.S. Student, Photonics Laboratory

Photonics and optoelectronics

Md Al Shahriar Shakil

M.S. Student, Photonics Laboratory

Photonics and optoelectronics quantum computing. quantum photonics

Md Al Shahriar Shakil was awarded his Bachelor of Science degree in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology (BUET), where his undergraduate research focused on quantum computing and quantum photonics. After completing his bachelor’s degree, he worked as a Research Assistant at BUET, where he gained experience in spin-based quantum qubits for quantum computing. He is currently an MS/PhD student in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST), where his research focuses on

Hanqi Li

M.S. Student, Photonics Laboratory

Photonics and optoelectronics

Hanqi Li received her Bachelor of Science degree in Electronic Science and Technology from Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2025. She was an intern student at the Institute of Semiconductors, Chinese Academy of Sciences, during 2024 and 2025, where she worked on topics related to optoelectronics and silicon photonics. Hanqi is currently an MS/PhD student in Electrical Engineering at King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, and a member of the Photonics Laboratory.

Mohammed Obidallah Alotaibi

Ph.D. Student, Photonics Laboratory

Photonics and optoelectronics renewable energy technologies sensing devices

I am Mohammed Obidallah Alotaibi, joining the KAUST Photonics Lab. I hold an M.S. in Electrical Engineering from the University of Central Florida and a B.S. from Umm Al-Qura University. Previously, I served as an Instrument Engineer at Aramco and currently lecture at Taibah University. I am passionate about advancing photonic technologies in energy and sustainability applications, and I look forward to contributing to the lab’s research in optoelectronics and integrated photonic systems. Previous Work Experience: Instrument Engineer, Saudi Aramco (2010–2012) Teaching Assistant & Lecturer

Yan Wang

Ph.D. Student, Photonics Laboratory

Photonics and optoelectronics Ultrawide bandgap materials

M.S./Ph.D. in Electrical Engineering at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, Aug. 2024- present BEng. in Communication Engineering at University of Electronic Science and Technology of China (UESTC), Chengdu, China, Sept. 2019 - Jun. 2024

Jiahao Wei

M.S. Student, Photonics Laboratory

Photonics and optoelectronics

Education Jan 2025 - present, M.S./Ph.D. in Electrical Engineering at KAUST, Thuwal, Saudi Arabia. Sep 2020 - Jun 2024, B.S. in Optoelectronic Information Science and Engineering at Southern University of Science and Technology (SUSTech), Shenzhen, China.

Zinan Xiao

Ph.D. Student, Photonics Laboratory

sensors Photonics and optoelectronics

Education Aug 2024 - present, Ph.D. in Electrical Engineering at KAUST, Thuwal, Saudi Arabia. Oct 2020 - Oct 2021, M.S. in Optics and photonics at Imperial College London, London, UK. Sep 2016 - Jun 2020, B.S. in Optoelectronic information engineering at Chongqing University, Chongqing, China.

Thomas Trigo Trindade

Research Consultant, Stochastic Numerics Research Group

uncertainty quantification numerical analysis data assimilation

Abdul-Lateef Haji-Ali

Ph.D., Applied Mathematics and Computational Science

uncertainty quantification numerical analysis Multilevel Monte Carlo

Shyam Mohan Subbiah Pillai

Research Consultant, Stochastic Numerics Research Group

numerical analysis uncertainty quantification stochastic differential equations

Nabila Bounceur

Research Scientist, Stochastic Numerics Research Group

probabilistic sensitivity analysis statistical emulators uncertainty quantification complex system modeling

My work focuses on the modeling of complex systems from the Probabilistic Sensitivity Analysis (PSA) and Uncertainty Quantification (UQ) perspective. I develop methodologies to efficiently characterize input-output relationships in computationally expensive simulators, enabling both qualitative understanding (which factors matter most?) and quantitative assessment (how much does each factor contribute to output uncertainty?).

Abderrahmene Ben Romdhane

M.S. Student, Stochastic Numerics Research Group

numerical analysis Computational finance uncertainty quantification

Arved Bartuska

Postdoctoral Research Fellow, Stochastic Numerics Research Group

numerical analysis uncertainty quantification optimal experimental design

Amal Alghamdi

Founder, Impact Alpha, Saudi Arabia

HPC Python data analysis finite element method uncertainty quantification

Hassan Hizeh

Digital signal processing Robotics and Control biomedical sensing

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

Ahsan Mehmood

Intern (former), Information Science Lab

IoT Biomedical Signal Processing healthcare Digital signal processing machine learning

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

Tarig Ballal Khidir Ahmed

Research Scientist (former), Electrical and Computer Engineering

image processing acoustic signal detection Digital signal processing low complexity systems Low sampling Ultra-wideband communication UWB channel impulse response estimation. Acoustic sensing and communications Sonars and radars. Movement detection and tracking using RF and acoustic waves. Respiration detection and tracking. Robust estimation and regularization Experimentation and testing.

Research Scientist Laboratory for Nanomedicine, Computational Bioscience Research Center King Abdullah University of Science and Technology | KAUST

Somayah Shafa-amri

Digital signal processing communication Mathematical Analysis

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

Mohamed Saadeldin

Postdoctoral Research Fellow, Sensors

wearable electronics IoT acoustic signal detection Digital signal processing Ultra-wideband communication Acoustic sensing and communications Movement detection and tracking using RF and acoustic waves. Indoor positioning and navigation wearables

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

Abdulwahab Felemban

Digital signal processing image processing machine learning wireless communication

Ph.D. Student, Electrical and Computer Engineering CEMSE, King Abdullah University of Science and Technology (KAUST),completed MSc under the supervision of Prof. Tareq Al-Naffouri.

Tarig Ballal Khidir Ahmed

Research Scientist (former), Electrical and Computer Engineering

image processing acoustic signal detection Digital signal processing low complexity systems Low sampling Ultra-wideband communication UWB channel impulse response estimation. Acoustic sensing and communications Sonars and radars. Movement detection and tracking using RF and acoustic waves. Respiration detection and tracking. Robust estimation and regularization Experimentation and testing.

Research Scientist Laboratory for Nanomedicine, Computational Bioscience Research Center King Abdullah University of Science and Technology | KAUST

Shahzad Gishkori

Postdoctoral Research Fellow (former), Information Science Lab

Signal processing image processing machine learning

Postdoctoral Research Fellow, Electrical and Computer Engineering , King Abdullah University of Science and Technology.

Mohammed Ali Abugurain

image processing machine learning analog electronics

Visiting student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).

Heba Almorad

Visiting Researcher (former), King Abdullah University of Science and Technology

Communication Theory Signal processing biomedical electronics image processing satellite communication

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

Albaraa Omar Alrehaili

Visiting Student (former), Electrical and Computer Engineering

Signal processing image processing AI

Intern student in the Electrical Engineering Department, King Abdullah University of Science and Technology (KAUST).

Abdulwahab Felemban

Digital signal processing image processing machine learning wireless communication

Ph.D. Student, Electrical and Computer Engineering CEMSE, King Abdullah University of Science and Technology (KAUST),completed MSc under the supervision of Prof. Tareq Al-Naffouri.

Muhanned Alsaif

M.S. Student (former), Electrical and Computer Engineering

communication systems technology advancements. Localization

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

Abdulkarem Badiea Alshaibani

M.S. Student, Information Science Lab

Localization machine learning GNSS localization Riemannian Optimization

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

Tareq Al-Naffouri

statistical signal processing communications tracking wireless networks Localization

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

Nasir Saeed

Postdoctoral Research Fellow, Electrical and Computer Engineering

heterogenous vertical networks multi-dimensional signal processing Localization Wireless Communications non-conventional communication networks Underwater Optical Wireless Communications and Networking

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

Mohamed Siala

Visiting Researcher (former), Electrical and Computer Engineering

Waveform design for advanced multicarrier systems channel estimation Synchronization. Adaptive modulation and coding Massive MIMO Systems space-time coding Relaying and cooperative networks cognitive radio Localization ultrasound ranging

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

Mazen Mohamed Aboubakrelseddik Abouelezz

Intern, Computer, Electrical and Mathematical Sciences and Engineering

Localization wireless communication

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

Gleb Ludnikov

Free-space optical communications remote sensing optical imaging Terahertz communications

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

Nour Kouzayha

Research Scientist, King Abdullah University of Science and Technology

Stochastic Geometry energy harvesting Terahertz communications IoT

Research Scientist at King Abdullah University of Science and Technology.

Hakim Jemaa

Terahertz communications MIMO detection and decoding Signal processing Wireless Communications

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

Hadi Sarieddeen

Assistant Professor, Electrical and Computer Engineering , American University of Beirut (AUB)

Wireless Communications Signal processing Terahertz communications error-correction coding

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

Alice Faisal

Visiting Student (former), Electrical and Computer Engineering

wireless communication microelectronics Signal processing Terahertz communications 5G enabling technologies intelligent reflecting surfaces Ultra-massive MIMO systems Optical communications

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

Ahmed Mohammed Magbool

Signal processing communication Biomedical Engineering Signal Applications Terahertz communications non-orthogonal multiple access Reconfigurable Intelligent Surfaces

M.Sc. Degree in Electrical Engineering, King Abdullah University of Science and Technology (KAUST)

Muhanned Alsaif

M.S. Student (former), Electrical and Computer Engineering

communication systems technology advancements. Localization

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

Omar Khalifa

AI IoT communication systems

PhD student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST) ,working under the supervision of Prof. Tareq Al-Naffouri.

Basit Olakunle Alawode

machine learning Signal processing web development communication systems automation and embedded systems design mobile applications development

Visiting student at King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.

Abdulrahman Katranji

Visiting Student (former), Electrical and Computer Engineering

artificial intelligence renewable energy communication systems

Visiting student at the Information Science Lab (ISL) at King Abdullah University of Science and Technology.

Abdelrahman Said Abdelrahman Mohammed Abdelrahman

Intern (former), Information Science Lab

communication systems mathematical modelling Time-delay Systems

Remote Internship at King Abdullah University of Science and Technology (KAUST).

Tao Ni

Assistant Professor, Computer Science

Cyber Security resilient cyber-physical

Professor Tao Ni (Tony) is focused on building secure, reliable and energy-efficient cyber-physical systems to enable trustworthy computing and confidential sensing in critical infrastructure. His approach combines hardware-software co-design with advanced AI technologies.

Mehdi Zakroum

Postdoctoral Research Fellow, Computer, Electrical and Mathematical Sciences and Engineering

Cyber Security Web Security Trustworthy AI

Ahmar Husain

Visiting Student, Computer, Electrical and Mathematical Sciences and Engineering

Cyber Security Malware Analysis LLM

Hassan Hadi

Research Specialist, Computer, Electrical and Mathematical Sciences and Engineering

Cyber Security cyber threats SOC UAV Security IDPS

Research Specialist on Cyber Security

Mohamed Ads

Visiting Student (former), King Abdullah University of Science and Technology

IoT Telecommunications Smart Wireless Massive Systems LED Wireless Communication Systems artificial intelligence machine learning Cyber Security

Visiting Student, King Abdullah University of Science and Technology

Serine Medjber

Visiting Student (former), King Abdullah University of Science and Technology

Signal processing embedded systems IoT

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri

Mohammed Amine Labbas

Visiting Student (former), King Abdullah University of Science and Technology

IoT Signal processing wireless communications. embedded systems

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

embedded systems IoT energy efficiency machine learning artificial intelligence intrusion detection computer networks

Mohammed Abdullah Hussaini

Research Specialist, Electrical and Computer Engineering

embedded systems Frequency selective surfaces IoT artificial intelligence

Senior Embedded System Engineer at KAUST (King Abdullah University of Science and Technology)

Abdullah Al-Nafisah

M.S. Student (former), Electrical and Computer Engineering

Information theory Analog circuits Digital Communication machine learning embedded systems

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

Changhao He

Next generation wireless communications ISAC UAV-enabled wireless communications machine learning for wireless communication

Yousef Awad

ISAC Unmanned aerial vehicles UAVs reconfigurable intelligent surfaces applications

Bumin Kagan Yildirim

artificial intelligence for wireless communication ISAC distributed multimodal ISAC Semantic Communication

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering

FDA-MIMO Radar Talget Detection ISAC haps remote sensing

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

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering

Non-Terrestrial Networks haps ISAC

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

Asymptotic Analysis of Precoding in Large-Scale Multi-User Systems

Xiuxiu Ma, Ph.D., Electrical and Computer Engineering

Aug 25, 08:30 - 10:00

B1 L3 R3119

MIMO Massive MIMO

This thesis develops and applies novel Gaussian Min-Max Theorems to provide a precise asymptotic performance analysis of complex precoders in massive MIMO systems, successfully characterizing system behavior in previously intractable scenarios involving non-linear post-processing operations.

Khalid Kanaan

machine learning for wireless communication Massive MIMO multimodal sensing

Xiuxiu Ma

Ph.D., Electrical and Computer Engineering

TDOA Localization Massive MIMO Computer simulations Convex programming

Mudassir Masood

Ph.D. (former), Electrical and Computer Engineering

Distribution Agnostic Bayesian Estimation of Sparse Signals Compressive Sensing Massive MIMO Physical layer security machine learning

Ph.D. degree in electrical engineering from the King Abdullah University of Science and Technology (KAUST). ,Assistant Professor, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.

Alam Zaib

channel estimation Massive MIMO blind equalization Signal processing communications Adaptive filtering machine learning

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

Almutasem Bellah Enad

Visiting Researcher (former), Information Science Lab

communication engineering Data detection and decoding coding techniques for Terahertz Massive MIMO Systems Signal processing wireless communication MATLAB Python

Visiting Student, King Abdullah University of Science and Technology, Present M.Eng in Electrical and Computer Engineering, American University of Beirut, Lebanon

Mhd. Emad Alolaby

Associate Editor, King Abdullah University of Science and Technology

Network Design telecommunication 5G networks GSM Digital Communications optical fiber AI deep learning MATLAB

Nizar Ajeeb

Researcher (former), King Abdullah University of Science and Technology

Programming language MATLAB data analysis Web Technologies

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

Ratbek Zhapparov

MATLAB Java implementation Python

Research Intern at King Abdullah University of Science and Technology (KAUS)

Israel Jesus Santos Filho

Pattern Recognition machine learning deep learning Compressive Sensing Signal processing Python MATLAB Scilab C++ JavaScript MySQL MongoDB GCP AWS

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.

Ansar Khangeldin

M.S. Student

Computer Vision Reinforcement Learning Multi-agent systems autonomous systems

Ms/PhD Electrical and Computer Engineering student. Have a background in Applied Mathematics, Control Theory, Machine Learning Research and Development, Multi-Agent Reinforcement Learning. Main research interests are application and enhancement of CV methods in autonomous systems (AVs, Robotics, UAVs).

Echo Ziyi Yang

Ph.D. Student

Autonomous Agent machine learning Reinforcement Learning

Kaiqiang Lin

Postdoctoral Research Fellow, Electrical and Computer Engineering

Wireless Underground Sensor Networks LoRAWAN Space-Air-Ground-Underground Integrated Networks Wireless Energy Transfer Reinforcement Learning

Kaiqiang Lin is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Kaiqiang Lin received his B.Eng. degree in Electronic and Information Engineering from Fujian Agriculture and Forestry University, Fuzhou, China, in 2018, and his Ph.D. degree with the College of Surveying and Geo-Informatics Tongji University, Shanghai, China, in 2024. From 2021 to

Mohammed Alwagait

UAV adaptive control Reinforcement Learning Aerial Robotics

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.

Aznaur Aliev

M.S. Student

AI Deep learning Computer Vision Reinforcement Learning

Syed Faraz Ahmed

channel estimation Deconvolution in UWB Computational Immunology statistical signal processing Bio-Medical Signal Processing Computational Neuroscience

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

Mohamed Siala

Visiting Researcher (former), Electrical and Computer Engineering

Waveform design for advanced multicarrier systems channel estimation Synchronization. Adaptive modulation and coding Massive MIMO Systems space-time coding Relaying and cooperative networks cognitive radio Localization ultrasound ranging

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

Alam Zaib

channel estimation Massive MIMO blind equalization Signal processing communications Adaptive filtering machine learning

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

Ala Ahmad Dahman

Semi-blind seismic deconvolution using orthogonal clustering Signal processing channel estimation Adaptive filtering OFDM systems wireless and mobile communications.

Visiting Student at King Abdullah University of Science and Technology (KAUST), Project Manager - Saudi Business Machines Ltd.

Alaa Alameer Ahmad

Visiting Researcher (former), King Abdullah University of Science and Technology

Signal processing communication networks

Research visit to communication theory lab in computer, electrical and mathematical sciences and engineering. KAUST (King Abdullah University of Science and Technology) ,Worked with research groups supervised by Prof. Mohamed-Slim Alouini and Prof. Tareq AL-Naffouri.

ISL Members win Best paper award in the SmallNets and IEEE ICC Confrence

1 min read · Tue, Aug 6 2019

ISL Members win the Best paper award in the 4th International Workshop on Small Cell and 5G Networks (SmallNets) organized in conjunction with IEEE International Conference on Communications (ICC), London, UK, June 2015.

communication networks

Muhammad Mahboob Ur Rahman

Research Scientist, Electrical and Computer Engineering

communication networks AI for healthcare security and reliability analysis of next generation communication networks

Research scientist with Information Science lab (ISL), Electrical engineering department, KAUST, KSA

Mohammed E. Eltayeb

wireless networks Performance analysis communication networks millimeter-wave communications Intelligent Transportation Systems

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

Beyond Connectivity: Paving the Road to Perceptive and Intelligent Networks

Hesham ElSawy, Associate Professor, School of Computing, Queen’s University

Aug 26, 13:30 - 14:30

B1 L3 R3119

Intelligent Communication connectivity edge computing

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

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

4 min read · Tue, Jan 21 2025

6g wireless systems connectivity NTN Communication Non-Terrestrial Networks IoT

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

A clique away from more efficient networks

1 min read · Sun, Jun 14 2020

networks connectivity applied mathematics electrical engineering

An old branch of mathematics finds a fertile new field of application.

Taha Bouchoucha

M.S., Computer, Electrical and Mathematical Sciences and Engineering

MIMO radars wireless sensor networks wireless networks social networks. connectivity

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

David De Jesus

Postdoctoral Research Fellow, Applied Mathematics and Computational Science

data analysis NumPy PDEs stochastic processes probability theory Python TensorFlow

David's research focuses on the regularity of solutions to degenerate elliptic and parabolic partial differential equations as well as free boundary problems.

Amal Alghamdi

Founder, Impact Alpha, Saudi Arabia

HPC Python data analysis finite element method uncertainty quantification

Nizar Ajeeb

Researcher (former), King Abdullah University of Science and Technology

Programming language MATLAB data analysis Web Technologies

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

Abdulmajeed Aljaloud

Visiting Student, Computer Science

Python machine learning data analysis artificial intelligence

Visiting Student Research Program ,Research Intern at King Abdullah University of Science and Technology (KAUST)

Xuhui Liu

Postdoctoral Research Fellow, Computer Science

Generative AI and LLMs

Najmeddine Dhieb

Research Engineer, Electrical and Computer Engineering

Deep learning Generative AI and LLMs artificial intelligence Computer Vision

Yasmeen Alsaedy

M.S. Student, Computer Science

artificial intelligence Generative AI and LLMs

She is an AI researcher specializing in generative AI and deep learning. With a strong academic foundation and hands-on experience in machine learning, data science and artificial intelligence, she is passionate about advancing AI applications in real-world scenarios. She has contributed to cutting-edge projects, published research, and collaborated on innovative solutions that bridge the gap between AI theory and practice. Her expertise includes designing and implementing advanced data models, AI-driven visual/text computing, and deep learning architectures.

Ahmed Ishak Patwa

Visiting Student, Electrical and Computer Engineering

artificial intelligence Medical Technology Generative AI and LLMs

Visiting student at King Abdullah University of Science and Technology, Systems Engineer at Qawam for Research and Studies, Jeddah, Saudi Arabia.

Abdulkarem Badiea Alshaibani

M.S. Student, Information Science Lab

Localization machine learning GNSS localization Riemannian Optimization

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

GNSS Localization and Attitude Determination via Optimization Techniques on Riemannian Manifolds

Xing Liu, Postdoctoral Research Fellow, Electrical and Computer Engineering

May 3, 16:00 - 18:00

B1 L3 R3119

GNSS localization attitude determination

This thesis focuses on Global Navigation Satellite Systems (GNSS)-based localization and attitude determination, essential for navigation and control systems in various platforms. Carrier-phase observations from GNSS signals are more accurate than pseudo-range, but resolving integer ambiguities in carrier-phase data is challenging. The thesis proposes three attitude determination methods based on an optimized GNSS attitude model with nonlinear constraints. Additionally, a joint solution for real-time kinematic positioning and attitude determination is proposed, leveraging the correlation between GNSS data in these two problems. Riemannian optimization is applied to improve the accuracy and ambiguity resolution in both localization and attitude determination.

ISL Team Nominated for IEEE Walter R. Fried Memorial Award

1 min read · Tue, Jul 28 2020

This year, the ISL team attended the 2020 IEEE/ION Position, Location and Navigation Symposium. A team of Professor Tareq Al-Naffouri, Xing Lui and Tarig Ballal co-authored the Conference Publication titled GNSS Attitude Determination Using a Constrained Wrapped Least Squares Approach. The publication focused on GNSS Attitude Determination. The publication's excellence was recognized as it was shortlisted for the Walter R. Fried Memorial Award. While the publication did not ultimately win the award, the superior technical quality of the work was recognized.

GNSS localization

Xing Liu

Postdoctoral Research Fellow, Electrical and Computer Engineering

attitude determination GNSS localization

Postdoctoral researcher in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST)

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

Khalil Elkhalil, Postdoctoral Research Fellow, Electrical and Computer Engineering

Jun 24, 09:00 - 10:00

B1 L4 R4214

Random Matrix Theory machine learning high dimensional statistics data science

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

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

1 min read · Mon, Nov 20 2017

machine learning high dimensional statistics data science

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

Khalil Elkhalil

Postdoctoral Research Fellow, Electrical and Computer Engineering

machine learning high dimensional statistics data science Random Matrix Theory Selected Applications statistical signal processing Supervised Learning Algorithms Feedback Reduction in Multiuser and Relay Networks

PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.

Ayed M. Alrashdi

Ph.D. Student (former), Electrical and Computer Engineering

statistical signal processing Compressive Sensing high dimensional statistics mathematical optimization statistical learning Wireless Communications

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

Nikita Kondratyev

Research Specialist, Electrical and Computer Engineering

Nonlinear Optics integrated photonics Phased Arrays Numerical Modeling

Mikhail Mishevskii

Nonlinear Optics integrated photonics ultrafast fiber lasers

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

Aleksandr Movsisian

light–matter interaction integrated photonics Quantum optics quantum metrology optomechanics

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

Aram Mkrtchyan

Postdoctoral Research Fellow, Electrical and Computer Engineering

Nonlinear Optics integrated photonics ultrafast fiber lasers Quantum nanomaterials

Reem Alzahrani

Ph.D. Student

Deep learning nlp Computer Vision Large Language Models vision language models Multi-Modal Large Language Models

Reem Alzahrani is an MS/PhD student at KAUST, working on Large Language Models and Vision-Language Models. Her research focuses on identifying and addressing the limitations of AI systems to improve their robustness and reliability.

Yanda Meng

Assistant Professor, Bioengineering

artificial intelligence medical image analysis machine learning LLM Large Language Models

Yanda Meng designs AI models to improve medical imaging and clinical decision-making.

Zakaria El Kassimi

machine learning deep learning Large Language Models

KAUST offers a unique environment where applied mathematics and data science meet real-world impact, with exceptional resources and a supportive community for ambitious research.

Zaid Alyafeai

Postdoctoral Research Fellow

Arabic NLP Large Language Models Cultural Understanding

FMCW Radar Applications for Automotive and Biomedical Applications

Vijith Varma Kotte, Ph.D. Student, Electrical and Computer Engineering

May 15, 15:00 - 17:00

B1 L3 R3119

deep learning Signal processing MIMO radars sensors

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

Vijith Varma Kotte

Deep learning Signal processing Next generation wireless communications MIMO radars

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

Taha Bouchoucha

M.S., Computer, Electrical and Mathematical Sciences and Engineering

MIMO radars wireless sensor networks wireless networks social networks. connectivity

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

Hussain Ali

compressed sensing MIMO radars Applications

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

Changhao He

Next generation wireless communications ISAC UAV-enabled wireless communications machine learning for wireless communication

Vijith Varma Kotte

Deep learning Signal processing Next generation wireless communications MIMO radars

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

Pinjun Zheng

Next generation wireless communications Estimation Theory Digital signal processing in communications

PhD Student, Electrical and Computer Engineering under the supervision of Prof. Tareq Al-Naffouri, King Abdullah University of Science and Technology (KAUST)

Karim Saifullin

Next generation wireless communications JSAC quantum computing MIMO-radar waveform design

Karim Saifullin is a PhD student at the CLT group at KAUST, focusing on research in Joint Radar and Sensing, Wireless Communications, and the application of Quantum Computing to radar and signal processing. He obtained his specialist degree from BMSTU and has accrued approximately 3.5 years of experience in diverse organizations within the field of wireless communications. In addition to his research, he serves as a teacher and teaching assistant across multiple courses.

Zinan Xiao

Ph.D. Student, Photonics Laboratory

sensors Photonics and optoelectronics

Education Aug 2024 - present, Ph.D. in Electrical Engineering at KAUST, Thuwal, Saudi Arabia. Oct 2020 - Oct 2021, M.S. in Optics and photonics at Imperial College London, London, UK. Sep 2016 - Jun 2020, B.S. in Optoelectronic information engineering at Chongqing University, Chongqing, China.

New tech detects dehydration by touching a screen

1 min read · Thu, May 22 2025

News Clip News

Wearable biomimetic sensors sensors

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

FMCW Radar Applications for Automotive and Biomedical Applications

Vijith Varma Kotte, Ph.D. Student, Electrical and Computer Engineering

May 15, 15:00 - 17:00

B1 L3 R3119

deep learning Signal processing MIMO radars sensors

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

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

1 min read · Sun, Feb 4 2018

photonics printable electronics nanoelectronics laser sensors bioimaging biophotonics 3D printing

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.

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

4 min read · Sun, Mar 8 2026

6G 6g wireless systems artificial intelligence for wireless communication wireless communication

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

Nebras Filimban

Ph.D. Candidate, Computer, Electrical and Mathematical Sciences and Engineering

RFICs 6G MIMO beamforming systems

Ahmad Dkhan

Visiting Scholar (former), Information Science Lab

Physically consistent modeling Near-field propagation analysis Signal processing mmWave systems Reconfigurable Intelligent Surfaces Sparse signal recovery 6G

Visiting Student, King Abdullah University of Science and Technology Present -Master's in Electrical and Computer Engineering, American University of Beirut, Lebanon

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

4 min read · Sun, Mar 8 2026

6G 6g wireless systems artificial intelligence for wireless communication wireless communication

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

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

4 min read · Tue, Jan 21 2025

6g wireless systems connectivity NTN Communication Non-Terrestrial Networks IoT

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

Research Scientist (former), King Abdullah University of Science and Technology

6g wireless systems cloud- and fog-radio access networks cross-layer optimization Cooperative networks machine learning Optical communications

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

Energy Conservation in Adaptive Filtering

1 min read · Wed, Aug 7 2019

energy storage Adaptive filtering ISL Highlighted Publications

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

Alam Zaib

channel estimation Massive MIMO blind equalization Signal processing communications Adaptive filtering machine learning

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

Ala Ahmad Dahman

Semi-blind seismic deconvolution using orthogonal clustering Signal processing channel estimation Adaptive filtering OFDM systems wireless and mobile communications.

Visiting Student at King Abdullah University of Science and Technology (KAUST), Project Manager - Saudi Business Machines Ltd.

Mohanad Ahmed

Research Specialist, Information Science Lab

electronic system Signal processing for Wireless Networks Applications

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

Mahmoud Hassan Ghazal

Applications Random Matrix Theory Graph Theory Randomly Projected Regression

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

Hussain Ali

compressed sensing MIMO radars Applications

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

Juan Pablo Muñoz Díaz

Ph.D. Student, Applied Mathematics and Computational Science

applied mathematics bioscience Dynamical Systems deep learning bifurcation theory

Peter Schmid

Professor, Mechanical Engineering

quantitative flow analysis applied mathematics Earth systems aerospace design energy efficiency

Professor Schmid's research interests are in theoretical and computational fluid dynamics, with emphasis on hydrodynamic stability theory, flow control, model reduction and system identification. He is also interested in computational techniques for flow optimization and quantitative flow analysis.

A clique away from more efficient networks

1 min read · Sun, Jun 14 2020

networks connectivity applied mathematics electrical engineering

An old branch of mathematics finds a fertile new field of application.

Raphaela Kethlim Souza Silva

bioelectronics body area networks

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

Hamzeh Abu Qamar

Master of Science, King Abdullah University of Science and Technology

AI ML medical applications.. bioelectronics Biosensors

MS Student, Electrical, Electronics and Communications Engineering at King Abdullah University of Science and Technology (KAUST).

Anas Saleh Mohammed

Visiting Student (former), Electrical and Computer Engineering

energy efficiency IoT power electronics bioelectronics Sensing

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

Ahsan Mehmood

Intern (former), Information Science Lab

IoT Biomedical Signal Processing healthcare Digital signal processing machine learning

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

Khaqan Majeed

Indoor localization machine learning Biomedical Signal Processing

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

Abdullah Ahmed Zayat

wireless communication Signal processing machine learning indoor localization systems Biomedical Signal Processing

Visiting Student Research Program under the supervision of Professor Tareq Al-Naffouri ,Research Intern at King Abdullah University of Science and Technology (KAUST)

Ali O Balubaid

Researcher, King Abdullah University of Science and Technology

living systems Cellular Networks Tissue Engineering bioscience Mathematical modeling

Ph.D Directed Research at KAUST (King Abdullah University of Science and Technology)

Mobility-Aware User Association in Uplink Cellular Networks

1 min read · Tue, Aug 6 2019

Cellular Networks ISL Highlighted Publications

R. Arshad and H. Elsawy and S. Sorour and M. S. Alouini and T. Y. Al-Naffouri, "Mobility-Aware User Association in Uplink Cellular Networks", IEEE Communications Letters. vol. 21 , pp. 2452-2455, Nov 2017. Abstract: This letter studies the mobility aware user-to-base station (BS) association policies, within a stochastic geometry framework, in two-tier uplink cellular networks with fractional channel inversion power control. Particularly, we model the BSs’ locations using the widely accepted Poisson point process and obtain the coverage probability and handover cost expressions for the coupled

Khlod Alshaikh

Cellular Networks Hybrid Aerial-Terrestrial Networks Stochastic Geometry and Point Processes Statistical Modeling

M.Sc. Degree in Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Principal Solutions Architect, Udacity

Oussama Dhifallah

M.S. (former), Computer, Electrical and Mathematical Sciences and Engineering

Communication Theory cloud computing Optimization theory and applications Distributed algorithms Image coding

MS Degree, Computer, Electrical and Mathematical Sciences and Engineering , joined Harvard University as a PhD student.

Mohammed Ahmed

Postdoctoral Research Fellow (former), Information Science Lab

statistical signal processing Wireless Communications wireless sensor networks IoT cloud computing

post-doctoral fellow at L'École de technologie supérieure (ETS) de Montréal (Mtl) where he started on February 2014. he works with Prof. Georges Kaddoum.

Abdallah Al-Moubayed

M.S. (former), Computer, Electrical and Mathematical Sciences and Engineering

wireless communication Cross-layer design machine learning cybersecurity Data Analytics Resource allocation wireless resource virtualization Device-to-Device Communication IoT e-learning performance and optimization modeling cloud computing Cooperative communications Collaborative instantly decodable network coding

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

Mudassir Masood

Ph.D. (former), Electrical and Computer Engineering

Distribution Agnostic Bayesian Estimation of Sparse Signals Compressive Sensing Massive MIMO Physical layer security machine learning

Ph.D. degree in electrical engineering from the King Abdullah University of Science and Technology (KAUST). ,Assistant Professor, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.

Israel Jesus Santos Filho

Pattern Recognition machine learning deep learning Compressive Sensing Signal processing Python MATLAB Scilab C++ JavaScript MySQL MongoDB GCP AWS

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.

Ayed M. Alrashdi

Ph.D. Student (former), Electrical and Computer Engineering

statistical signal processing Compressive Sensing high dimensional statistics mathematical optimization statistical learning Wireless Communications

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

Omar Ahmed

M.S. Student, Bioengineering

Computer Vision machine learning Computational Neuroscience Electroencephalograms artificial intelligence

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

Dalal E. Aldossary

M.S. Student, Computer Science

machine learning Electroencephalograms Computer Vision Computational Neuroscience

Dalal Aldossary is a Master’s student in Computer Science at KAUST. She is part of the VISION-CAIR and the Neuroscience & AI Lab (NAIL), where she works on developing machine learning models that interpret and learn EEG representations and behavior.

Syed Faraz Ahmed

channel estimation Deconvolution in UWB Computational Immunology statistical signal processing Bio-Medical Signal Processing Computational Neuroscience

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

Michał Drewniak

Ph.D. Student, Secure Next Generation Resilient Systems Lab

power electronics power systems control systems grid codes

Michał is pursuing a collaborative Ph.D. carried out jointly by the King Abdullah University of Science and Technology (KAUST) and AGH University of Krakow (AGH). At KAUST, he is a Ph.D. student in Electrical and Computer Engineering working in the Secure Next Generation Resilient Systems Lab (SENTRY) under the supervision of Professor Charalambos Konstantinou, while at AGH University he conducts his doctoral studies under the supervision of Professor Marcin Baszyński. Michał obtained both his Bachelor of Engineering and Master of Engineering degrees in Electrical Engineering from AGH

Khalid Alzuhair

M.S. Student (former), Electrical and Computer Engineering

robotics intelligent systems control systems RISC

M.S. Degree, Electrical and Computer Engineering, KAUST (King Abdullah University of Science and Technology).

Jie Ma

wireless communication control systems

MS/PhD student Electrical and Computer Engineering under the supervision of Prof. Tareq Al-Naffouri at King Abdullah University of Science and Technology (KAUST),

Racha Zayni

Visiting Researcher, Information Science Lab

machine learning Data Analytics Wireless Communications AI-based Localization Signal processing

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

Exciting News from LEAP2024!

1 min read · Sun, Mar 31 2024

artificial intelligence Data Analytics digital health

Exciting News from LEAP2024! We are thrilled to announce that our two innovative startup companies, Qawam and MOBiSENSE, participated in LEAP2024, showcasing their cutting-edge products and services. Qawam, known for its groundbreaking posture correction solutions, has now developed an app that utilizes sensors from Apple Airpods. This app eliminates the need for a separate clip-on device, providing consumers with a more convenient and seamless posture correction experience. MOBiSENSE specializes in extracting valuable insights for mobile network operators (MNOs) and communications services

Abdallah Al-Moubayed

M.S. (former), Computer, Electrical and Mathematical Sciences and Engineering

wireless communication Cross-layer design machine learning cybersecurity Data Analytics Resource allocation wireless resource virtualization Device-to-Device Communication IoT e-learning performance and optimization modeling cloud computing Cooperative communications Collaborative instantly decodable network coding

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

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

Khalil Elkhalil, Postdoctoral Research Fellow, Electrical and Computer Engineering

Jun 24, 09:00 - 10:00

B1 L4 R4214

Random Matrix Theory machine learning high dimensional statistics data science

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

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

1 min read · Mon, Nov 20 2017

machine learning high dimensional statistics data science

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

Khalil Elkhalil

Postdoctoral Research Fellow, Electrical and Computer Engineering

machine learning high dimensional statistics data science Random Matrix Theory Selected Applications statistical signal processing Supervised Learning Algorithms Feedback Reduction in Multiuser and Relay Networks

PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.

Salem Al-saqaf

IoT electronics artificial intelligence integrated circuits

Salem Al-Saqaf is an Electrical and Computer Engineer specializing in semiconductors, electronics and AI. He combines strong academic training with practical industry experience in AI-driven solutions, data science, and system optimization. His work spans applied research and real-world innovation, aiming to advance intelligent systems, enhance semiconductor applications, and develop technologies that bridge academic discovery with industrial impact.

Ahmed Foud Ali Mehdi AlMehdhar

Visiting Student (former), Electrical and Computer Engineering

communications electronics machine learning algorithms

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

Abdullah Ali Ayed Nahi

electronics visible light communication systems indoor localization systems.

Online intern at King Abdullah University of Science and Technology(KAUST)..electrical engineering student at King Fahd University of Petroleum and Minerals KFUPM .

Stochastic Optimization in Target Positioning and Location-based Applications

Hui Chen, Ph.D. Student (former), Electrical and Computer Engineering

Jul 27, 17:00 - 19:00

KAUST

stochastic algorithm optimization Hand Gestures Recognition

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.

Mohammed Hussain AlSharif

Postdoctoral Research Fellow, California Institute of Technology (Caltech)

Hand Gestures Recognition Ultrasonic-based Localization indoor localization systems underwater acoustic localization communication signal design machine learning

Dr. Mohammed AlSharif is a Postdoctoral Fellow at the California Institute of Technology (Caltech) and a recipient of the KAUST Ibn Rushd Fellowship. His research bridges Riemannian geometry, statistical estimation, and learning for autonomous systems, with applications to high-accuracy pose estimation and robotics.

Hui Chen

Ph.D. Student (former), Electrical and Computer Engineering

Indoor localization Hand Gestures Recognition

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

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering

FDA-MIMO Radar Talget Detection ISAC haps remote sensing

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

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering

Non-Terrestrial Networks haps ISAC

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

Hussein Al-Shatri

Research Scientist, Electrical and Computer Engineering

haps nr-u interference management beamforming tochnologies coexistence prototyping

I chose KAUST because of its reputation for excellence in research and its recent emphasis on applied research. With my extensive background in both academic research and industrial development, I am excited to contribute my experience and ambition. My goal is to foster new ideas and develop innovative prototypes in the field of wireless communications, which will undoubtedly enhance people's lives.

Gyan Deep Verma

Postdoctoral Research Fellow, Electrical and Computer Engineering

FSO/RF Systems Adaptive Optics intelligent reflecting surfaces Chaos Shift Keying

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

Waqas Aman

Visiting Student (former), Electrical and Computer Engineering

intelligent reflecting surfaces wireless communication Terahertz signals Physical layer security Underwater Acoustic Communication Effective Capacity Analysis Stochastic Geometry

Remote Internship at King Abdullah University of Science and Technology (KAUST).

Alice Faisal

Visiting Student (former), Electrical and Computer Engineering

wireless communication microelectronics Signal processing Terahertz communications 5G enabling technologies intelligent reflecting surfaces Ultra-massive MIMO systems Optical communications

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

Weiping Li

Postdoctoral Research Fellow, Electrical and Computer Engineering

Optical Phased Array broadband photonics-aided terahertz communication and sensing LiDAR

Xiaoyi Song

Silicon photonics on-chip light source LiDAR nonreciprocal optical devices

Saud Alabdulal

M.S. Student, Applied Physics

optical computing LiDAR

Yanda Meng

Assistant Professor, Bioengineering

artificial intelligence medical image analysis machine learning LLM Large Language Models

Yanda Meng designs AI models to improve medical imaging and clinical decision-making.

Ahmar Husain

Visiting Student, Computer, Electrical and Mathematical Sciences and Engineering

Cyber Security Malware Analysis LLM

Muhammad Samiullah

Intern, Cyber Security and Resilience Technology

cybersecurity ML FPGA LLM

Cyber Security, FPGA security, AI/ML security

Yousef Naief Shnaiwer

Visiting Student, King Abdullah University of Science and Technology

network coding femtocell networks. cognitive radio networks.

Remote intern at King Abdullah University of Science and Technology (KAUST).

Sameh Sorour

Postdoctoral Research Fellow (former), Communication Theory Lab

network coding wireless networks Vehicular networks and intelligent transportation systems Indoor localization cognitive radio networks.

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

Ahmed Douik

M.S. (former), Computer, Electrical and Mathematical Sciences and Engineering

optimization non-convex methods machine learning cloud-radio access networks network coding Cooperative communications Broadcast and Multicast Networks

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

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering

Non-Terrestrial Networks haps ISAC

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

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

4 min read · Tue, Jan 21 2025

6g wireless systems connectivity NTN Communication Non-Terrestrial Networks IoT

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

Houcine Chougrani

Research Scientist, Electrical and Computer Engineering

Non-Terrestrial Networks Embedded systems.

I decided to join KAUST because of its outstanding environment and the exceptional quality of its professors, postdocs, and students. The university's recent focus on applied research resonates deeply with my background, which spans both academic and industrial domains. This alignment presents a unique opportunity to transform our theoretical concepts into tangible innovations, ultimately contributing to the advancement of society.

Nikita Kondratyev

Research Specialist, Electrical and Computer Engineering

Nonlinear Optics integrated photonics Phased Arrays Numerical Modeling

Mikhail Mishevskii

Nonlinear Optics integrated photonics ultrafast fiber lasers

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

Aram Mkrtchyan

Postdoctoral Research Fellow, Electrical and Computer Engineering

Nonlinear Optics integrated photonics ultrafast fiber lasers Quantum nanomaterials

Lajos Lóczi

Research Scientist, Applied Mathematics and Computational Science

numerical methods PDEs ODEs stability analysis numerical discretization qualitative theory numerical analysis

Lajos Lóczi research focuses on the symbolic aspects of numerical methods for differential equations.

David De Jesus

Postdoctoral Research Fellow, Applied Mathematics and Computational Science

data analysis NumPy PDEs stochastic processes probability theory Python TensorFlow

David's research focuses on the regularity of solutions to degenerate elliptic and parabolic partial differential equations as well as free boundary problems.

Juan Pablo Bernal Tamayo

Ph.D., Applied Mathematics and Computational Science

PDEs genomics single cell biology

Chaabane Mankai

Wireless Communications optimization Performance analysis network security

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

Mohammed E. Eltayeb

wireless networks Performance analysis communication networks millimeter-wave communications Intelligent Transportation Systems

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

Ahmed Bader

Research Scientist, Electrical and Computer Engineering

Energy-efficient wireless multihop networks Cross-layer protocol design Stochastic Geometry Performance analysis RF Detection

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

Yao GE

wireless communication Signal processing game theory Physical layer security

Visiting Scholar with the Department of Computer, Electrical and Mathematical Science and Engineering, King Abdullah University of Science and Technology (KAUST)

Waqas Aman

Visiting Student (former), Electrical and Computer Engineering

intelligent reflecting surfaces wireless communication Terahertz signals Physical layer security Underwater Acoustic Communication Effective Capacity Analysis Stochastic Geometry

Remote Internship at King Abdullah University of Science and Technology (KAUST).

Mudassir Masood

Ph.D. (former), Electrical and Computer Engineering

Distribution Agnostic Bayesian Estimation of Sparse Signals Compressive Sensing Massive MIMO Physical layer security machine learning

Ph.D. degree in electrical engineering from the King Abdullah University of Science and Technology (KAUST). ,Assistant Professor, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.

Ting Li

Postdoctoral Research Fellow, Environmental Science and Engineering

remote sensing machine learning precision agriculture agriculture environmental modeling crop health agricultural productivity sustainable agricultural

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

Gleb Ludnikov

Free-space optical communications remote sensing optical imaging Terahertz communications

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

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering

FDA-MIMO Radar Talget Detection ISAC haps remote sensing

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

Aigerim Nurbayeva

Postdoctoral Research Fellow, Electrical and Computer Engineering

Model Predictive Control robotics agricultural robotics coral reefs palm trees 3D reconstruction Robotics manipulators

Soumia Si Youcef

artificial intelligence robotics wireless networks communications

Dedicated electronics engineer currently pursuing a Master’s degree in Electrical and Computer Engineering at KAUST. With a strong foundation in electronics and artificial intelligence, I focus on designing innovative healthcare application devices. My research-driven mindset, hands-on experience in sensor-based projects, and commitment to impactful innovation reflect my dedication to pushing the boundaries of engineering in service of human well-being.

Khalid Alzuhair

M.S. Student (former), Electrical and Computer Engineering

robotics intelligent systems control systems RISC

M.S. Degree, Electrical and Computer Engineering, KAUST (King Abdullah University of Science and Technology).

Marine exploration sensing with light and sound

1 min read · Sun, Mar 11 2018

marine exploration electrical engineering Sensor networks

Unveiling new strategies to improve future wireless underwater sensing networks for marine research and communication.

Muzammil Behzad

Visiting Researcher (former), Information Science Lab

Signal and Image Processing wireless communication Sensor networks

Visiting researcher at King Abdullah University of Science and Technology. Currently,

Mohamed A Suliman

Visiting Scholar (former), Information Science Lab

Optimal Regularization of Linear System Signal processing machine learning Big data analysis Sensor networks Random Matrix Theory

MS Degree at King Abdullah University of Science and Technology, Ph.D. candidate, Imperial College London..

Rose Nasser Alaslani

M.S. Student (former), Electrical and Computer Engineering

wireless communication Signal processing Signal Applications

MS Student, Electrical and Computer Engineering King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq Al-Naffouri.

Muath Mahdi

Ph.D. (former), Electrical and Computer Engineering

Statistical and array signal processing Signal Applications OFDM System Random Matrix Theory Discriminant analysis.

Postdoctoral Fellow with the Electrical Engineering Department, King Abdullah University of Science and Technology (KAUST)

Ahmed Mohammed Magbool

Signal processing communication Biomedical Engineering Signal Applications Terahertz communications non-orthogonal multiple access Reconfigurable Intelligent Surfaces

M.Sc. Degree in Electrical Engineering, King Abdullah University of Science and Technology (KAUST)

Andrea Vanessa Rocha

Research Specialist, Statistics

Statistical Modeling computational statistics machine learning stochastic processes

Mostafa Mohamed Lotfy Emara

Postdoctoral Research Fellow (former), Electrical and Computer Engineering

Research Design of Caching Systems using Stochastic Geometry Statistical Modeling wireless networks Stochastic Geometry machine learning

PhD Student, Electrical and Computer Engineering at KAUST (King Abdullah University of Science and Technology)

Khlod Alshaikh

Cellular Networks Hybrid Aerial-Terrestrial Networks Stochastic Geometry and Point Processes Statistical Modeling

M.Sc. Degree in Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Principal Solutions Architect, Udacity

Tarig Ballal Khidir Ahmed

Research Scientist (former), Electrical and Computer Engineering

image processing acoustic signal detection Digital signal processing low complexity systems Low sampling Ultra-wideband communication UWB channel impulse response estimation. Acoustic sensing and communications Sonars and radars. Movement detection and tracking using RF and acoustic waves. Respiration detection and tracking. Robust estimation and regularization Experimentation and testing.

Research Scientist Laboratory for Nanomedicine, Computational Bioscience Research Center King Abdullah University of Science and Technology | KAUST

Mohammad Tamim Alkhodary

Ph.D. (former), Electrical and Computer Engineering

machine learning Bayesian Compressive Sensing Radar imaging Ultra-wideband communication Signal processing cloud-native for B5G node clustering

Ph.D. degree in electrical engineering from the King Fahd University of Petroleum and Minerals. Postdoctoral Fellow at École de technologie supérieure, Montreal, QC, Canada

Mohamed Saadeldin

Postdoctoral Research Fellow, Sensors

wearable electronics IoT acoustic signal detection Digital signal processing Ultra-wideband communication Acoustic sensing and communications Movement detection and tracking using RF and acoustic waves. Indoor positioning and navigation wearables

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

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

Mohammed Hussain AlSharif, Postdoctoral Research Fellow, California Institute of Technology (Caltech)

Dec 16, 14:00 - 15:00

B1 L3 R3119

Indoor localization Ultrasonic-based Localization Signal processing

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

Saudi Summer Internship (SSI) Poster Competition Winners

1 min read · Sun, Aug 4 2019

Ultrasonic-based Localization machine learning

Rawan Al Ghamdi, Abdulwahab Felemban and Abdullah Zayat were interns this summer as part of the Saudi Summer Internship (SSI) Program. This is a program involving undergraduates from various universities in the Kingdom and this year hosted 43 students. Abdulwahab and Abdullah worked on enhancing ultrasonic indoor localization and in particular using machine learning to classify arriving signals between line-of-sight and multi-path. Abdulwahab and Abdullah won the second place in the poster competition that took place at the end of the SSI program. Rawan Al-Ghamdi was an intern this summer as

Mohammed Hussain AlSharif

Postdoctoral Research Fellow, California Institute of Technology (Caltech)

Hand Gestures Recognition Ultrasonic-based Localization indoor localization systems underwater acoustic localization communication signal design machine learning

Dr. Mohammed AlSharif is a Postdoctoral Fellow at the California Institute of Technology (Caltech) and a recipient of the KAUST Ibn Rushd Fellowship. His research bridges Riemannian geometry, statistical estimation, and learning for autonomous systems, with applications to high-accuracy pose estimation and robotics.

Mohammed Amine Labbas

Visiting Student (former), King Abdullah University of Science and Technology

IoT Signal processing wireless communications. embedded systems

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri

Mohammed Aasim Shaikh

Signal and Image Processing machine learning wireless communications.

MS Degree ,Electrical and Computer Engineering ,King Abdullah University of Science and Technology (KAUST) .

Anum Ali

Intern (former), Information Science Lab

Signal processing wireless communications. deep learning Combating Impairments in OFDM Systems

Research Engineer KAUST (King Abdullah University of Science and Technology).Senior engineer at Samsung Research America.

Taha Bouchoucha

M.S., Computer, Electrical and Mathematical Sciences and Engineering

MIMO radars wireless sensor networks wireless networks social networks. connectivity

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

Osama Bushnaq

Ph.D. (former), Electrical and Computer Engineering

statistical signal processing wireless sensor networks networks and wireless communications Unmanned aerial vehicles UAVs enabled wireless networks Stochastic Geometry IoT 5G/6G

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

Mohammed Ahmed

Postdoctoral Research Fellow (former), Information Science Lab

statistical signal processing Wireless Communications wireless sensor networks IoT cloud computing

post-doctoral fellow at L'École de technologie supérieure (ETS) de Montréal (Mtl) where he started on February 2014. he works with Prof. Georges Kaddoum.

Tarig Ballal Khidir Ahmed

Research Scientist (former), Electrical and Computer Engineering

image processing acoustic signal detection Digital signal processing low complexity systems Low sampling Ultra-wideband communication UWB channel impulse response estimation. Acoustic sensing and communications Sonars and radars. Movement detection and tracking using RF and acoustic waves. Respiration detection and tracking. Robust estimation and regularization Experimentation and testing.

Research Scientist Laboratory for Nanomedicine, Computational Bioscience Research Center King Abdullah University of Science and Technology | KAUST

Mohamed Saadeldin

Postdoctoral Research Fellow, Sensors

wearable electronics IoT acoustic signal detection Digital signal processing Ultra-wideband communication Acoustic sensing and communications Movement detection and tracking using RF and acoustic waves. Indoor positioning and navigation wearables

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

Tarig Ballal Khidir Ahmed

Research Scientist (former), Electrical and Computer Engineering

image processing acoustic signal detection Digital signal processing low complexity systems Low sampling Ultra-wideband communication UWB channel impulse response estimation. Acoustic sensing and communications Sonars and radars. Movement detection and tracking using RF and acoustic waves. Respiration detection and tracking. Robust estimation and regularization Experimentation and testing.

Research Scientist Laboratory for Nanomedicine, Computational Bioscience Research Center King Abdullah University of Science and Technology | KAUST

Mohamed Saadeldin

Postdoctoral Research Fellow, Sensors

wearable electronics IoT acoustic signal detection Digital signal processing Ultra-wideband communication Acoustic sensing and communications Movement detection and tracking using RF and acoustic waves. Indoor positioning and navigation wearables

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

Mostafa Kassem

Visiting Student, Cyber Security and Resilience Technology

Automous Vehicles Advanced Perception

Adonai Vera

Intern, Image and Video Understanding Lab

Computer Vision Advanced Perception multimodal AI deep learning

Machine Learning Engineer with 6+ years of experience specializing in computer vision, deep learning, and robotics. Led AI solutions for retail analytics, UAV systems, and edge devices. Author, educator, and TensorFlow Google Developer Expert.

Ting Li

Postdoctoral Research Fellow, Environmental Science and Engineering

remote sensing machine learning precision agriculture agriculture environmental modeling crop health agricultural productivity sustainable agricultural

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

KAUST-KFUPM collaboration wins top honors at STC AIoT Hackathon

1 min read · Mon, Nov 29 2021

IoT agriculture artificial intelligence drones

A team composed of KAUST and King Fahd University of Petroleum and Minerals (KFUPM) students was one of three winning teams of this year’s Saudi Telecom Company (STC) AIoT (AI & IoT) Hackathon. The KAUST entry, AgriDoctor, a proposed autonomous, sustainable, intelligent agriculture system, was a standout pick for the competition judges from a pool of 110 project submissions and 350 participants.

Karen Sanchez

Postdoctoral Research Fellow

Computer Vision machine learning AI for healthcare deep learning Medical imaging

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

Muhammad Mahboob Ur Rahman

Research Scientist, Electrical and Computer Engineering

communication networks AI for healthcare security and reliability analysis of next generation communication networks

Research scientist with Information Science lab (ISL), Electrical engineering department, KAUST, KSA

Hani A. Al Majed

M.S. Student

machine learning Computer Vision AI4Science

Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Andres Villa

Postdoctoral Research Fellow

Continual Learning Multimodal learning Visual Language Models AI4Science Action understanding

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

Xiaoke Yang

Visiting Scholar, Information Science Lab

algorithms Random Matrix Theory Analysis of Supervised Learning Algorithms Regularized Discriminant Analysis

PhD candidate at King Abdullah University of Science and Technology. Visiting Scholar, Information Science Lab

Ahmed Foud Ali Mehdi AlMehdhar

Visiting Student (former), Electrical and Computer Engineering

communications electronics machine learning algorithms

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

Bartłomiej Błeszyński

Visiting B.S. Student (former), Electrical and Computer Engineering

Signal processing Analog circuits RF engineering

Education BSC Electronic Engineering (2014 - 2018), Warsaw University of Technology, Poland Research Interest Signal processing, analog circuits, RF engineering

Abdullah Al-Nafisah

M.S. Student (former), Electrical and Computer Engineering

Information theory Analog circuits Digital Communication machine learning embedded systems

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

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

4 min read · Sun, Mar 8 2026

6G 6g wireless systems artificial intelligence for wireless communication wireless communication

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

Bumin Kagan Yildirim

artificial intelligence for wireless communication ISAC distributed multimodal ISAC Semantic Communication

GNSS Localization and Attitude Determination via Optimization Techniques on Riemannian Manifolds

Xing Liu, Postdoctoral Research Fellow, Electrical and Computer Engineering

May 3, 16:00 - 18:00

B1 L3 R3119

GNSS localization attitude determination

This thesis focuses on Global Navigation Satellite Systems (GNSS)-based localization and attitude determination, essential for navigation and control systems in various platforms. Carrier-phase observations from GNSS signals are more accurate than pseudo-range, but resolving integer ambiguities in carrier-phase data is challenging. The thesis proposes three attitude determination methods based on an optimized GNSS attitude model with nonlinear constraints. Additionally, a joint solution for real-time kinematic positioning and attitude determination is proposed, leveraging the correlation between GNSS data in these two problems. Riemannian optimization is applied to improve the accuracy and ambiguity resolution in both localization and attitude determination.

Xing Liu

Postdoctoral Research Fellow, Electrical and Computer Engineering

attitude determination GNSS localization

Postdoctoral researcher in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST)

Mostafa Kassem

Visiting Student, Cyber Security and Resilience Technology

Automous Vehicles Advanced Perception

Tudor Ionescu

Visiting Student, Cyber Security and Resilience Technology

Automous Vehicles

Razan Shams

semiconductor 2D materials biomedical devices

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

Mario Soto Martinez

Ph.D. Student, Bioengineering

biomedical devices multimodal sensing microfabrication nanomaterials Laser-scribed graphene Point of Care devices

Furrukh Sana

Ph.D. (former), Electrical and Computer Engineering

Tracking of Sparse Signals Biomedical Engineering Signal processing Bayesian Prediction Sparse Recovery

Research Fellow, Harvard Medical School, September 2018 - present. Assistant Professor, National University, Pakistan, Ph.D. Degree King Abdullah University of Science and Technology,

Ahmed Mohammed Magbool

Signal processing communication Biomedical Engineering Signal Applications Terahertz communications non-orthogonal multiple access Reconfigurable Intelligent Surfaces

M.Sc. Degree in Electrical Engineering, King Abdullah University of Science and Technology (KAUST)

Juan Pablo Muñoz Díaz

Ph.D. Student, Applied Mathematics and Computational Science

applied mathematics bioscience Dynamical Systems deep learning bifurcation theory

Ali O Balubaid

Researcher, King Abdullah University of Science and Technology

living systems Cellular Networks Tissue Engineering bioscience Mathematical modeling

Ph.D Directed Research at KAUST (King Abdullah University of Science and Technology)

Yousef Naief Shnaiwer

Visiting Student, King Abdullah University of Science and Technology

network coding femtocell networks. cognitive radio networks.

Remote intern at King Abdullah University of Science and Technology (KAUST).

Sameh Sorour

Postdoctoral Research Fellow (former), Communication Theory Lab

network coding wireless networks Vehicular networks and intelligent transportation systems Indoor localization cognitive radio networks.

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

Oussama Dhifallah

M.S. (former), Computer, Electrical and Mathematical Sciences and Engineering

Communication Theory cloud computing Optimization theory and applications Distributed algorithms Image coding

MS Degree, Computer, Electrical and Mathematical Sciences and Engineering , joined Harvard University as a PhD student.

Heba Almorad

Visiting Researcher (former), King Abdullah University of Science and Technology

Communication Theory Signal processing biomedical electronics image processing satellite communication

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

Muhammad Saqib Sohail

Signal processing population genetics Computational biology

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

Ahmed Abdul Quadeer

Semi-blind Channel and Data Recovery in OFDM statistical signal processing Computational biology communication

Research Intern at King Abdullah University of Science and Technology (KAUST), The Hong Kong University of Engineering and Technology

Syed Awais Wahab Shah

Visiting Researcher (former), King Abdullah University of Science and Technology

Signal processing for wireless communications Computational Immunology

Visiting Research Scholar at King Abdullah University of Science and Technology.

Syed Faraz Ahmed