KAUST is a perfect research environment for me providing the opportunity to cooperate with world-class researchers.
Website
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 applications in Signal Processing, Wireless Communications, and Machine Learning.
Education Profile
- PhD student in Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia (June 2016- Present).
- MS student in Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia (September 2014- May 2016).
- Engineering Degree in Signals and Systems, Tunisia Polytechnic School (EPT), Tunis, Tunisia (September 2011-July 2014).
Selected Publications
Sifaou, H., Kammoun, A., Park, K.-H., & Alouini, M.-S. (2017). Robust Transceivers Design for Multi-Stream Multi-User MIMO Visible Light Communication. IEEE Access, 5, 26387–26399. doi:10.1109/access.2017.2777893
Handle
Sifaou, H., Park, K.-H., Kammoun, A., & Alouini, M.-S. (2017). Optimal linear precoding for indoor visible light communication system. 2017 IEEE International Conference on Communications (ICC). doi:10.1109/icc.2017.7997330
Handle
Sifaou, H., Kammoun, A., Sanguinetti, L., Debbah, M., & Alouini, M.-S. (2017). Max–Min SINR in Large-Scale Single-Cell MU-MIMO: Asymptotic Analysis and Low-Complexity Transceivers. IEEE Transactions on Signal Processing, 65(7), 1841–1854. doi:10.1109/tsp.2016.2645518
Handle
Sifaou, H., Kammoun, A., & Alouini, M.-S. (2016). Precoding Design for Single-RF Massive MIMO Systems: A Large System Analysis. IEEE Wireless Communications Letters, 5(6), 592–595. doi:10.1109/lwc.2016.2603503
Handle
Al-Khawarzmi Distinguished Professor,
Electrical and Computer Engineering