Rate My Professor Kezhi Wang

Wang has garnered prestigious recognitions, such as Highly Cited Researcher by Clarivate Web of Science for 2023, 2024, and 2025; Top 2% Scientist of the World; Rising Star of Science Award from Research.com in 2025; and IEEE Communications Society awards including the Leonard G. Abraham Prize, Heinrich Hertz Award, and Fred W. Ellersick Prize. He holds the Distinguished Visiting Fellowship from the Royal Academy of Engineering and serves as Distinguished Lecturer for the IEEE Vehicular Technology Society from 2025 to 2027. With over 150 publications in IEEE journals, he boasts more than 16,000 citations and an h-index of 60 on Google Scholar. Notable works include 'Performance Analysis for RIS-Assisted SWIPT-Enabled IoT Systems' (IEEE Transactions on Wireless Communications, 2024), 'Two-Timescale Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with Imperfect CSI' (IEEE Transactions on Information Theory, 2022), 'Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions' (IEEE Communications Magazine, 2021), and 'Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-Assisted Mobile Edge Computing' (IEEE Transactions on Mobile Computing, 2021). Professionally, he edits for IEEE Transactions on Vehicular Technology and IEEE Wireless Communications Letters, holds IEEE Senior Membership, and serves on the UKRI Talent Peer Review College and as EPSRC Associate College Member. Wang has supervised multiple PhD students to completion and acted as external examiner and PhD examiner for numerous institutions worldwide.