معرفی
Dr. Richard Yu is a Professor at the School of Information Technology, Carleton University, Canada, with academic roles spanning since 2006. His research bridges machine learning, blockchain, and wireless networks, focusing on emerging technologies like vehicular systems and edge computing.
- Ph.D. in Electrical Engineering (UBC, Canada)
- M.A.Sc. in Computer Engineering (Beijing University of Posts & Telecomm.)
- B.A.Sc. in Electrical Engineering (Dalian University of Technology)
His research explores machine learning and blockchain integration in connected vehicles, mobile networks, and IoT, emphasizing security and resource optimization. His work often employs deep reinforcement learning to address challenges in distributed systems.
Recent publications focus on blockchain-enabled edge computing, vehicular networks, and IoT optimization, with methodologies centered on reinforcement learning, interference alignment, and secure transmission.
- 2023: Electronics and Electrical Engineering Leader, Research.com
- 2022: IEEE ICC Best Paper Award
- 2021: Fellow, Canadian Academy of Engineering
- 2020: IEEE GLOBECOM Best Paper Award
- 2019: IEEE TCGCC Distinguished Service Award
- 2017: IEEE VTC Best Paper Award
- 2017: IEEE Fellow
- 2016: IET Fellow
- 2011: Ontario Early Researcher Award
His grants include the Canada Foundation for Innovation’s Leadership Opportunity Fund Award (2009). Collaborative work with students and colleagues underpins his contributions to wireless systems and blockchain.
