Ahmad M. Nagib

Ahmad M. Nagib (Graduate Student Member, IEEE) received the B.Sc. and M.Sc. degrees from the Faculty of Computers and Artificial Intelligence, Cairo University. He is currently pursuing the Ph.D. degree with the School of Computing, Queen’s University. He is also a Graduate Research Fellow with the Telecommunications Research Laboratory (TRL), Queen’s University. He is also an Assistant Lecturer with Cairo University and a Machine Learning Ph.D. Co-Op in the area of cloud RAN with Ericsson, Canada. He has recently been part of an industry-academia collaboration project with Ericsson, Canada. His research mainly addresses the practical challenges of applying machine learning, and specifically reinforcement learning, in next-generation wireless networks. His work has resulted in a record of publications in several IEEE flagship venues, such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Network and Service Management, GLOBECOM, ICC, and LCN. He has also served as a reviewer and a TPC member in all of these respectable venues in addition to IEEE Transactions on Mobile Computing.