Professor Mohamed-Slim Alouini leads the so-called CTL research group, which stands for

Communication Theory Lab

The current research group's scientific interests focus on the modeling, design, optimization, and performance analysis of wireless systems with a current emphasis on global connectivity, optical wireless communications, and high-speed underwater communication.

The Communication Theory Lab (CTL) activities are mostly centered on addressing the uneven global distribution, access to, and use of information and communication technologies by studying and developing new generations of aerial and space networks as a solution to provide connectivity to far-flung, less-populated, and/or hard-to-reach areas.

Please follow the links below to learn more about the projects and internship opportunities currently ongoing within the team.

CTL Research

Research

​​The Communication Theory Lab (CTL) at King Abdullah University of Science and Technology (KAUST) looks into the modeling, design, optimization, and performance analysis of wireless communication systems with general research interests including the design and performance analysis of diversity combining techniques, MIMO techniques, multi-hop/cooperative communications systems, optical wireless communication systems, cognitive radio systems, green communication systems and networks, and integrated ground-airborne-space networks. The CTL is currently particularly interested in addressing the

Publications

Publications

The Communication Theory Lab (CTL) publications list is available through Google Scholar , Scopus Database , Semantic Scholar ​ , DBLP Computer Science Bibliography​ and ORCID .​

Teaching

Teaching

Prof. Mohamed-Slim Alouini has been teaching the following courses within the Electrical Engineering (EE) and Applied Mathematics and Computational Sciences (AMCS) programs of the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) division at King Abdullah University of Science and Technology (KAUST): AMCS 143. Introduction to Probability and Statistics (3-0-0)​ This course provides an elementary introduction to probability and statistics with applications. Topics include: basic probability models; combinatorics; random variables; discrete and continuous probability