Professor Alouini, a co-founder of KAUST's ECE program, inspires future engineers through his pioneering work in wireless communications. His integrated space-air-ground networks and optical communication systems research shape connectivity's future and embody KAUST's scientific excellence and global impact.

Biography

Professor Slim-Alouini is the Al-Khawarizmi Distinguished Professor of Electrical and Computer Engineering (ECE) and the holder of the UNESCO Chair on "Education to Connect the Unconnected." He is also an Affiliate Professor of Applied Mathematics and Computational Science (AMCS), an Affiliate Professor of Statistics (STAT) and the principal investigator of the Communication Theory Lab (CTL) at KAUST.

He received his Ph.D. in electrical engineering in 1998 from the California Institute of Technology (Caltech), U.S.

Throughout his more than 25-year academic career, Professor Slim Alouini, an IEEE and OSA Fellow, has developed analytical and simulation tools for evaluating the performance of radio-frequency and optical wireless communication systems. He has also designed and optimized innovative technologies for emerging wireless networks.

Alouini has published numerous conference and journal papers and co-authored the textbook Digital Communication over Fading Channels, published by Wiley Interscience. A former editor of IEEE Transactions on Communications, he also served as an editor for IEEE Transactions on Mobile Computing and the Wireless Communications and Mobile Computing journal. He was a series editor for the IEEE Communication Magazine's Optical Communications and Networks Special Series.

Alouini is the founding field chief editor for the Frontiers in Communications and Networks journal (since 2020) and an editor for the IEEE Transactions on Aerospace and Electronics Systems (since 2022).

Research Interests

In addition to diversity combining techniques and MIMO techniques, Professor Alouini is interested in multi-hop and cooperative communications, optical wireless communication systems, cognitive radio systems, green communication systems, and integrated ground-airborne-space networks for research.

He is actively working on addressing the uneven global distribution, access to, and use of information and communication technologies (ICT) 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.

His KAUST Communication Theory Lab (CTL) investigates viable solutions to minimize ICT costs by (i) capitalizing on emerging and new solutions that operate within the unlicensed radio frequency spectrum and by (ii) deploying a variety of aerial and space-based networks.

Awards and Distinctions

Education

Doctor of Philosophy (Ph.D.)
Electrical Engineering, California Institute of Technology, United States, 1998
Master of Science (M.S.)
Electrical Engineering, Georgia Institute of Technology, United States, 1995
Diplome d'Etudes Approfondies (DEA)
Electronics, Pierre and Marie Curie University, France, 1993

Quote

In the CTL group at KAUST, we enjoy modeling, designing, optimizing, and evaluating the performance of emerging and future wireless communication systems and networks.

Patents

An Improved Scheduling Algorithm For Linear Networks

Publication number: 20180213543

Non-invasive Beam Forming Add-on Module

Publication number: 20180198203

Enhanced Performance Hybrid-arq

Publication number: 20170366304

Adaptive Modulation Scheme With Simultaneous Voice And Data Transmission

Patent number: 6304593

Robust Node Estimation And Topology Discovery For Large-scale Networks

Publication number: 20180227188

Direct Closed-form Covariance Matrix And Finite Alphabet Constant-envelope Waveforms For Planar Array Beampatterns

Publication number: 20180052219

Generation Of Correlated Finite Alphabet Waveforms Using Gaussian Random Variables

Publication number: 20160013819

Questions and Answers

Why KAUST?

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.