machine learning

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

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

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

Localization machine learning

Visiting 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

Ph.D. Student, Electrical and Computer Engineering

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

Ph.D. Student, Electrical and Computer Engineering

software development machine learning IoT

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

Mohammed Hussain AlSharif

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

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

Ph.D. Degree, Electrical and Computer Engineering ,King Abdullah University of Science and Technology, KAUST,

Mostafa Emara

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

Ph.D. Student, Electrical and Computer Engineering

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

Intern, Information Science Lab

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

Intern, Information Science Lab

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

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

Pattern Recognition machine learning deep learning Compressive Sensing

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

Ibrahim Alshehri

Intern, Information Science Lab

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

Ph.D. Student, Electrical and Computer Engineering

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

Intern, Information Science Lab

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

Ph.D. Student, Electrical and Computer Engineering

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

Ph.D. Student, Electrical and Computer Engineering

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)