Wei Yu

Professor Wei Yu is a Canada Research Chair (Tier 1) in Information Theory and Wireless Communications at the University of Toronto, Department of Electrical and Computer Engineering. He received his Ph.D. in Electrical Engineering from Stanford University (2002) and B.A.Sc. in Computer Engineering and Mathematics from University of Waterloo (1997).

• Key roles: IEEE Fellow, Fellow of Canadian Academy of Engineering, Member of Royal Society of Canada
• Editorial leadership: IEEE Transactions on Wireless Communications, IEEE Transactions on Information Theory

Research Interests span network information theory, convex optimization, wireless communications, and broadband access networks. His work focuses on multiuser information theory, MIMO systems, and 5G/6G network optimization. Publications reflect expertise in reconfigurable intelligent surfaces (RIS), covariance-based activity detection, and fractional programming for signal processing.

Scientific Recognition includes multiple IEEE Best Paper Awards (2008, 2017, 2021), NSERC Steacie Fellowship (2015), and the 2024 IEEE Joint Communications/Information Theory Society Paper Award. He is a Clarivate Highly Cited Researcher.

Teaching Contributions include ECE1502 (Information Theory), ECE431 (Digital Signal Processing), and ECE1505 (Convex Optimization), with a focus on mathematical foundations and practical applications in communications.