Reinforcement Learning

Mohammed Alwagait

Ph.D. Student, Electrical and Computer Engineering

UAV adaptive control Reinforcement Learning Aerial Robotics

Mohammed is a PhD Student in the Electrical and Computer Engineering program (ECE) at KAUST. He focuses on Reinforcement Learning Based Energy Saving Path Planning and Control for UAVs.

Aznaur Aliev

M.S. Student

AI Deep learning Computer Vision Reinforcement Learning

Fares Fourati

Ph.D. Student, Electrical and Computer Engineering

machine learning Deep learning Reinforcement Learning artificial intelligence

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. Education Fares Fourati has studied mathematics and physics at the University of Sfax and has been among the top 1% in the Tunisian national contest of mathematics and physics in 2017. In 2020, he received his diplôme d’ingénieur with first-class honors in multidisciplinary engineering from Ecole Polytechnique de Tunisie. In 2022, he received his Master of Science in electrical and computer engineering from KAUST. Early Career Before

Aniq Ur Rahman

M.S., Electrical and Computer Engineering

Stochastic Geometry Reinforcement Learning wireless network

Aniq is an MS/PhD student under the supervision of Prof. Mohamed-Slim Alouini at the Communication Theory Lab (CTL), KAUST. Education and Early Career Aniq obtained his bachelor’s degree in Electronics and Communication Engineering from National Institute of Technology Durgapur, India in 2019. Upon graduation, he joined Qualcomm as an Associate Systems Engineer. In 2018 summers, he participated in the ALICE experiment as a research intern at the European Organization for Nuclear Research (CERN), Switzerland. Prior to joining KAUST, he worked as a Project Assistant at IISc 5G Testbed, Indian