معرفی
Dr. Mohammad Reza Nakhai is a Reader in the Department of Engineering at King's College London, specializing in telecommunications and signal processing. His research focuses on online learning, wireless network optimization, machine learning applications in resource allocation, cognitive radio communications, and energy-efficient systems. He serves as an Editor for the IEEE Transactions on Wireless Communications. Nakhai has contributed to numerous high-impact projects, including the EPSRC-funded TITAN initiative and the THzAir 6G research program. His work addresses challenges in edge computing, distributed learning, and sustainable radio networks. Key projects include optimizing federated learning in edge networks and advancing green radio technologies for net-zero objectives. He has co-authored over 120 publications, with recent contributions on reinforcement learning for D2D communication and distributed caching strategies.
Research interests include game theory applications in wireless networks, robust beamforming techniques, and interference management. His expertise spans massive MIMO systems, channel estimation, and energy harvesting in cellular networks. Nakhai leads collaborative efforts in 6G research, focusing on native AI interfaces and next-generation connectivity solutions. His grants include funding from EPSRC for projects like plaTform drIving The ultImAte coNnectivity (TITAN) and THzAir, demonstrating his commitment to innovation in telecommunications.
Notable contributions include scalable caching schemes for edge networks and collaborative resource management. His work on real-time energy trading and predictive resource allocation highlights his focus on practical, deployable solutions. Nakhai's research impacts both academic and industrial sectors, driving advancements in wireless efficiency and network intelligence.
