Biography

Dr. Medhat Elsayed is an Adjunct Professor in the School of Electrical Engineering and Computer Science at the University of Ottawa and a Senior Member of IEEE (SMIEEE). He is also a researcher and AI specialist at Ericsson, where he develops artificial intelligence solutions for next-generation radio access networks.

His research focuses on the intersection of artificial intelligence and wireless communications, with particular emphasis on AI-native and 6G wireless networks. His interests include AI-enabled radio resource management, reinforcement learning, adversarial machine learning, trustworthy and secure AI, intent-driven networking, generative AI, large language models for network automation, integrated sensing and communications (ISAC), XL-MIMO, and intelligent wireless systems.

Dr. Elsayed received his B.Sc. and M.Sc. degrees in Electrical Engineering from Cairo University, Egypt, and his Ph.D. in Electrical Engineering from the University of Ottawa, Canada. His research bridges fundamental machine learning advances with practical wireless system design, aiming to develop intelligent, secure, and autonomous communication networks capable of supporting future 6G services.

He has authored more than 75 peer-reviewed publications in leading IEEE journals and conferences, including IEEE Transactions on Wireless Communications, IEEE Transactions on Network and Service Management, IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine, IEEE ICC, and IEEE GLOBECOM. His work has received over 1,100 citations and has contributed to advances in reinforcement learning, explainable AI, transfer learning, generative AI, and network slicing for next-generation wireless systems.

Dr. Elsayed actively serves the research community as a reviewer for numerous IEEE journals and conferences and is involved in graduate student supervision and collaborative research with academia and industry. His long-term research vision is to develop trustworthy, autonomous, and AI-native wireless networks that seamlessly integrate communication, sensing, and intelligence to enable resilient and sustainable 6G ecosystems.