In the CTL group at KAUST, we enjoy modeling, designing, optimizing, and evaluating the performance of emerging and future wireless communication systems and networks.
- Building 3, Office 3123
- Professor Alouini's courses
Publication number: 20180213543
Publication number: 20180198203
Publication number: 20170366304
Patent number: 6304593
Publication number: 20180227188
Direct Closed-form Covariance Matrix And Finite Alphabet Constant-envelope Waveforms For Planar Array Beampatterns
Publication number: 20180052219
Publication number: 20160013819
- Ph.D. Electrical Engineering, California Institute of Technology (Caltech), Pasadena, United States, 1998
- M.S. Electrical Engineering, Georgia Institute of Technology (Georgia Tech), Atlanta, United States, 1995
- Diplome d'Etudes Approfondies (D.E.A.) in Electronics, Université Pierre et Marie Curie, Paris, France, 1993
- Diplome d'Ingenieur, École Nationale Supérieure des Télécommunications (Télécom Paris Tech), Paris, France, 1993
Mohamed-Slim Alouini is a Distinguished Professor of Electrical and Computer Engineering (ECE), Affiliate Professor of Applied Mathematics and Computational Science (AMCS), Affiliate Professor of Statistics (STAT), and Principal Investigator of the Communication Theory Lab (CTL) of the King Abdullah University of Sciences and Technology (KAUST), Thuwal, Makkah Province, Saudi Arabia.
Education and Early Career
He is one of the Founders of the Program now leading the Communication Theory Lab. He received his Ph.D. in Electrical Engineering from the California Institute of Technology (Caltech), Pasadena, California, United States of America, in 1998.
Areas of Expertise and Current Scientific Interests
Professor Alouini general research interests include 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. He is currently actively working 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.
Alouini has won several awards in his career. For instance, he recently received the 2020 IEEE Vehicular Technology Society James Evans Avant Garde Award and the 2019 Technical Achievement Award of the IEEE Communication Society Communication Theory Technical Committee. Prior to this, he was honored in 2017 with the Organization of Islamic Cooperation (OIC) Science and Technology (S&T) Achievement Award in Engineering Science at the First OIC Summit on Science and Technology, Astana, Kazakhstan. He also received the 2016 Recognition Award of the IEEE Communication Society Wireless Technical Committee as well as the 2016 Abdul Hameed Shoman Award for Arab Researchers in Engineering Sciences. Other recognitions include his selection as (i) Fellow of the Institute of Electrical and Electronics Engineers (IEEE), the Optical Society of America (OSA), the African Academy of Science (AAS), the European Academy of Science and Arts (EASA), and the Academia Europaea (AE), (ii) IEEE Distinguished Lecturer for the IEEE Communication Society and for the IEEE Vehicular Technology Society, (iii) member for several times in the annual Thomson ISI/Clarivate Web of Knowledge list of Highly Cited Researchers as well as the Shanghai Ranking/Elsevier list of Most Cited Researchers and the AMiner 2020 list of the AI 2000 Most Influential Scholars in the area of Internet of Things, and (iv) a co-recipient of best paper awards in thirteen IEEE journals/conferences (including Communication Surveys & Tutorials, ICC, GLOBECOM, VTC, PIMRC, ISWCS, UCET, and DySPAN).
Honors and Awards
- 2021 Fellow of the Optical Society of America (OSA)
- 2020 IEEE Vehicular Technology Society James Evans Avant Garde Award
- 2020 Member of the AMiner list of the AI 2000 Most Influential Scholars in the area of Internet of Things
- 2019 Technical Achievement Award of the IEEE Communication Society Communication Theory Technical Committee
- 2019 Member of the Academia Europaea (AE)
- 2019 Member of the European Academy of Science and Arts (EASA)
- 2018 Fellow of the African Academy and Science (AAS)
- 2017 Inaugural Organization of Islamic Cooperation (OIC) Science & Technology Achievement Award in Engineering Sciences
- 2016 Abdul Hameed Shoman Award for Arab Researchers in Engineering Sciences
- 2016 Recognition Award of the IEEE Communication Society Wireless Technical Committee
- 2009 Fellow of the Institute of Electrical and Electronics Engineers (IEEE)
- 1999 National Science Foundation (NSF) CAREER Award
- 1999 Charles Wilts Prize for outstanding independent research leading to a PhD degree in EE at Caltech
- IEEE Distinguished Lecturer for the IEEE Communication Society and the IEEE Vehicular Technology Society
- Member for several times in the annual Thomson ISI/Clarivate Web of Knowledge list of Highly Cited Researchers
- Shanghai Ranking/Elsevier list of Most Cited Researchers
- Co-recipient of best paper awards in thirteen IEEE journals/conferences (including Communication Surveys & Tutorials, ICC, GLOBECOM, VTC, PIMRC, ISWCS, UCET, and DySPAN)
He has published several conference and journal papers in his area of expertise and he is the co-author of the textbook Digital Communication over Fading Channels published by Wiley Interscience. He was an editor for the IEEE Transactions on Communications, IEEE Transactions on Wireless Communication, IEEE Transactions on Mobile Computing, and Wireless Communications and Mobile Computing journal. He is now a series editor for the IEEE Communication Magazine (Optical Communications and Networks Special Series) and the founding field chief editor for the Frontiers in Communications and Networks journal.
KAUST is a fertile place for any researcher who wants to develop rigorous computational and engineering methods to solve real-world problems. Its unique support to science allows the most advanced scientific (r)evolution.