Ultra-Massive MIMO

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

Hakim Jemaa

Ph.D. Student, Electrical and Computer Engineering

UM-MIMO systems Data detection and decoding Terahertz communications communication engineering Ultra-Massive MIMO coding Detection Algorithms THz signal source data science MATLAB

PhD student in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini and Professor Tareq Al-Naffouri in King Abdullah University of Science and Technology (KAUST).