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.

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).

Wireless Network Intelligence @ the Edge

Dr. Mehdi Bennis, Associate Professor, Centre for Wireless Communications, University of Oulu

Jul 8, 11:00 - 12:00

B1 L3 R3119

machine learning game theory Heterogeneous networks

In just a few years, breakthroughs in machine learning (ML) and particularly deep learning have transformed every aspects of our lives from face recognition, medical diagnosis, and natural language processing. This progress has been fueled mainly by the availability of more data and more computing power. However, the current premise in classical ML is based on a single node in a centralized and remote data center with full access to a global dataset and a massive amount of storage and computing, sifting through this data for inference.

Meet KAUST prospective student: Sahar Ammar

1 min read · Wed, Sep 9 2020

News

machine learning Deep learning telecommunication

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

Xiangyu Cui

M.S. Student, Electrical and Computer Engineering

Wireless communication machine learning

Xiangyu Cui is a Master student at Communication Theory Laboratory(CTL), King Abdullah University of Science and Technology (KAUST), working with Professor. Mohamed-Slim Alouini in CTL. Education and Early Career Xiangyu Cui studied Communication Engineering and got his Bachelor of Engineering from University of Electronic Science and Technology of China in 2023. Honors and Awards Xiangyu Cui was awarded National scholarship in China in both 2020 and 2021. Education Profile B.S. in Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China (September

Shasha Liu

Ph.D. Student, Electrical and Computer Engineering

machine learning Next generation wireless communications

Shasha Liu is a visit student in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini at King Abdullah University of Science and Technology (KAUST). Education and Early Career Shasha Liu will obtain her bachelor degree in Information Countermeasure Technology from University of Electronic Science and Technology of China (UESTC) in 2022. Scientific Interest Shasha Liu is interested in Machine Learning and Communicate Engineering. Education Profile B.S. in Information Countermeasure Technology, University of Electronic Science and Technology of China (UESTC)

Mohammad Shehab

Postdoctoral Research Fellow, Electrical and Computer Engineering

machine learning Non-Terrestrial Networks Catastrophic communication Communication in extreme environments

Education and Early Career Currently, Mohammad Shehab is a postdoctoral Researcher with CEMSE Division, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. Previously, he was with the University of Oulu, Finland, from which he obtained his doctoral degree in 2022. Prior to that, he obtained his B.Sc from Alexandria University in 2011, two M. Sc degrees from the Arab Academy and University of Oulu in 2014 and 2017, respectively. He worked as TA at Alexandria University and the Arab Academy in Egypt from 2012-2015. Shehab was a visiting researcher to TU Dresden, Aalborg

Lin Chen

Visiting Student, Electrical and Computer Engineering

6G machine learning

Lin is a visiting student in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini at King Abdullah University of Science and Technology (KAUST) Education and Early Career Lin is a 3rd-year bachelor student in Communication Engineering from University of Electronic Science and Technology of China (UESTC). Research Interest Lin is interested in enhancing the performance of the communication system to meet the communication requirements of the evolving new application scenarios. She’s currently exploring the application of RIS and artificial intelligence in

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)

Jose Roberto Ayala Solares

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

Probabilistic robotics machine learning Numerical solution of differential equations

Jose Roberto Ayala Solares was a CTL lab member and graduated from KAUST. Then, he joined the Monterrey Institute of Technology and Higher Education as a lecturer. Selected Publications M.S. Thesis: J. R. Ayala Solares, “Optimal Power Allocation of a Sensor Node under Different Rate Constraints,” King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, Jul. 2011. Conference Publications: J. R. Ayala Solares, Z. Rezki, and M. -S. Alouini, "Optimal power allocation of a sensor node under different rate constraints," in Proc. of IEEE International Conference on

José Maria Sosa Gómez

Ph.D. Student, Electrical and Computer Engineering

machine learning Deep-learning based detection radar applications MIMO radars Radar imaging Computer Vision for Automation Programming language Embedded system developing

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

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).

Houssem Sifaou

Ph.D., Electrical and Computer Engineering

Visible light communications Random Matrix Theory Wireless Communications machine learning Asymptotic Performance Analysis Ultra-Massive MIMO

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

Hussam Wael Ismail Ibraiwish

M.S., Electrical and Computer Engineering

Next generation wireless communications machine learning

Hussam Ibraiwish is a Master’s student in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini at King Abdullah University of Science and Technology (KAUST). Education and Early Career Hussam has obtained his Bachelor’s degree in Electrical Engineering from the University of Jordan in 2021. He was a visiting student at CTL in 2020 before becoming a KAUST student in 2021. Hussam was also the Vice Chair of the IEEE ComSoc in the University of Jordan. Research Interest Hussam is interested in machine learning and communication theory. He is particularly

Hajar El Hammouti

Postdoctoral Research Fellow, Electrical and Computer Engineering

machine learning UAV wireless networks IoT

Publications dblp Scopus LinkedIn Education Profile Ph.D. in Telecommunications and Computer Science, National Institute of Posts and Telecommunications (INPT), Rabat, Morocco, Jan. 2013- May. 2017. 3rd year of engineering studies at ENSEEIHT, Toulouse, France, 2011-2012. Engineering studies at INPT, Rabat, Morocco, 2009 - 2011. Awards and Distinctions Best Paper Award, UNet 2018. Best Student Paper Award, WINCOM 2015. Best Student Paper Award, NETYS 2015.

Fares Fourati

Ph.D. Student, Electrical and Computer Engineering

machine learning Deep learning Reinforcement Learning artificial intelligence

Fares Fourati is a Ph.D. student at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Mohamed-Slim Alouini. Education Fares Fourati has studied mathematics and physics at the University of Sfax and has been among the top 1% in the Tunisian national contest of mathematics and physics in 2017. In 2020, he received his diplôme d’ingénieur with first-class honors in multidisciplinary engineering from Ecole Polytechnique de Tunisie. In 2022, he received his Master of Science in electrical and computer engineering from KAUST. Early Career Before

Cian Leo Blake

M.S. Student, Electrical and Computer Engineering

machine learning IoT

Cian is an MS/Ph.D. student in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini at King Abdullah University of Science and Technology (KAUST). Education and Early Career Cian obtained BSc in Physics with a Computer Science minor from New York University Abu Dhabi (NYUAD) in 2023. Alongside his studies, Cian founded an autotech startup called Genius Autos (www.genius-autos.com) that aims to optimize the global used auto parts supply chain in the age of artificial intelligence. Research Interest Cian is focusing in the area of wireless communication

Amine Bejaoui

M.S., Statistics

machine learning Deep learning applied statistics

Amine Bejaoui was an MS/Ph.D. student in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini at King Abdullah University of Science and Technology (KAUST). Education and Early Career Amine Bejaoui obtained his engineering degree with majors in Economics and Scientific management from Ecole Polytechnique de Tunisie (EPT) , Tunisia, in 2015. Research Interest The scientific interests of Amine Bejaoui lies in the area of statistics, machine learning and the applications of Random Matrix Theory. Publications dblp Scopus LinkedIn Education Profile M.Sc. in

Amanat Kafizov

Ph.D. Student, Electrical and Computer Engineering

Terahertz communications machine learning

Education & Early Career Amanat was graduated from Nazarbayev University in 2019 where he received a Bachelor of Engineering in Electrical and Electronic Engineering. Amanat was a participant of Erasmus+ student exchange program. During this program, he studied fall semester 2018 at Ecole Centrale de Nantes university as a Foundation Master student in Control, Robotics and Signals. Research Interest Amanat did a summer research internship 2018 at University at Buffalo, New York, USA. He was working on Terahertz (THz) communication networks under a supervision of professor Josep Jornet. To be

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

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)