F. Richard Yu
استاد · Machine learning and artificial intelligence
Graz University of Technologyمعرفی
F. Richard Yu is a Professor at the School of Information Technology, Carleton University, Canada, since 2016. He served as Assistant/Associate Professor at the same institution from 2006 to 2015. His academic work spans machine learning, blockchain, autonomous vehicles, and network security.
- Ph.D., Electrical Engineering, University of British Columbia (2003)
- M.A.Sc., Computer Engineering, Beijing University of Posts & Telecomm. (1998)
- B.A.Sc., Electrical Engineering, Dalian University of Technology (1995)
His research focuses on machine learning, blockchain, autonomous vehicles, network security, and mobile wireless networks. Trends in his publications include deep reinforcement learning for computation offloading, blockchain applications in edge computing, and network optimization for IoT and 5G systems.
- Highly Cited Researcher (2019-2023), Clarivate
- Electronics and Electrical Engineering Leader in Canada (2023), Research.com
- Fellow of Canadian Academy of Engineering (CAE) (2021), Engineering Institute of Canada (EIC) (2019), IEEE (2017), and IET (2016)
- Best Paper Awards: IEEE ICC (2022), IEEE GLOBECOM (2020), IEEE VTC (2017), IEEE TAOS (2012), IEEE TrustCom (2009)
- Research Achievement Award, Carleton University (2021, 2012)
- Early Researcher Award (2011), Ontario; Leadership Opportunity Fund Award (2009), Canada Foundation for Innovation
His work has resulted in 800+ papers, 30 patents, and 48,000+ citations (H-index 107), with grants including the 2009 Canada Foundation for Innovation award.
