About Fares Fourati Fares Fourati Ph.D. Student, Electrical and Computer Engineering machine learning Deep learning Reinforcement Learning artificial intelligence combinatorial multi-armed bandits intelligent systems black-box optimization Fares Fourati is a Ph.D. student at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Mohamed-Slim Alouini. Articles Related News January 2022 KAUST CTL team wins competition at 6G Summit on Connecting the Unconnected 1 min read · Mon, Jan 10 2022 News The Marconi Society organized the second 6G Summit on Connected the Unconnected in partnership with KAUST. The summit was a three-day virtual event that brought together experts from technology and policy-making to discuss ideas that can accelerate the process of connecting the unconnected population to the internet. A competition was part of this summit and was open to students and early career researchers from all over the world who proposed novel solutions for digital inclusion. A team of four students from Communication Theory Lab (CTL) consisting of Aniq Ur Rahman, Fares Fourati, Maurilo March 2021 Meet KAUST New Student: Fares Fourati 1 min read · Mon, Mar 15 2021 News Fares Fourati holds a diploma in multidisciplinary engineering from Ecole Polytechnique de Tunisie, Tunisia. Fourati first joined KAUST as a visiting student and was instantly impressed with the University’s exceptional research atmosphere. He believes KAUST offers excellent research opportunities and is an ideal location to collaborate with leading international researchers. Authored News October 2024 KAUST CTL PhD candidate receives 1st Prize at the 2024 KAUST ACM/SIAM Student Chapter Poster Competition. 1 min read · Wed, Oct 16 2024 Fares Fourati, a PhD candidate at KAUST in the Communication Theory Lab (CTL), has been awarded the first prize in the 2024 KAUST ACM/SIAM Student Chapter Poster Competition. The competition, organized at KAUST, aimed to highlight innovative research from PhD students in the Computer, Electrical, and Mathematical Science and Engineering (CEMSE) division. The event, held on October 10, 2024, featured his research contributions to reinforcement learning, particularly his latest work on stochastic Q-learning for large discrete action spaces which he presented recently at the 41st International
KAUST CTL team wins competition at 6G Summit on Connecting the Unconnected 1 min read · Mon, Jan 10 2022 News The Marconi Society organized the second 6G Summit on Connected the Unconnected in partnership with KAUST. The summit was a three-day virtual event that brought together experts from technology and policy-making to discuss ideas that can accelerate the process of connecting the unconnected population to the internet. A competition was part of this summit and was open to students and early career researchers from all over the world who proposed novel solutions for digital inclusion. A team of four students from Communication Theory Lab (CTL) consisting of Aniq Ur Rahman, Fares Fourati, Maurilo
Meet KAUST New Student: Fares Fourati 1 min read · Mon, Mar 15 2021 News Fares Fourati holds a diploma in multidisciplinary engineering from Ecole Polytechnique de Tunisie, Tunisia. Fourati first joined KAUST as a visiting student and was instantly impressed with the University’s exceptional research atmosphere. He believes KAUST offers excellent research opportunities and is an ideal location to collaborate with leading international researchers.
KAUST CTL PhD candidate receives 1st Prize at the 2024 KAUST ACM/SIAM Student Chapter Poster Competition. 1 min read · Wed, Oct 16 2024 Fares Fourati, a PhD candidate at KAUST in the Communication Theory Lab (CTL), has been awarded the first prize in the 2024 KAUST ACM/SIAM Student Chapter Poster Competition. The competition, organized at KAUST, aimed to highlight innovative research from PhD students in the Computer, Electrical, and Mathematical Science and Engineering (CEMSE) division. The event, held on October 10, 2024, featured his research contributions to reinforcement learning, particularly his latest work on stochastic Q-learning for large discrete action spaces which he presented recently at the 41st International
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