Prof. F. Richard Yu received the PhD degree in electrical engineering from the University of British Columbia (UBC). His research interests include machine learning and embodied AI, autonomous systems, big data, and blockchain. His research has substantially influenced industry standards and design specifications. Several innovative approaches developed through his work have been implemented in commercial products and services, positively affecting millions of users worldwide.

He has been named in the Clarivate’s list of ``Highly Cited Researchers" in computer science for five consecutive years (2019-2023), Standford’s ``Top 2% Most Highly Cited Scientist" and AMiner's ``AI Most Influential Scholar Award Honorable Mention" for four consecutive years (2020-2023). He has published 700+ papers in prestigious journals and conferences with 50,000+ and an H-index of 112+ (Googel Scholar). He has been ranked #13 in Canada and #363 globally among the top researchers in Computer Science (Research.com). Additionally, he holds the #9 position in Canada and is ranked #166 globally among the leading researchers in Electronics and Electrical Engineering (Research.com). He received several Best Paper Awards from some first-tier conferences, Carleton Research Achievement Awards in 2012 and 2021, and the Ontario Early Researcher Award (formerly Premiers Research Excellence Award) in 2011.

He is a Member of the Academia Europaea (MAE), a Fellow of the Canadian Academy of Engineering (CAE), Engineering Institute of Canada (EIC), IEEE, and IET. He is a Board Member the IEEE VTS and the Editor-in-Chief for IEEE VTS Mobile World newsletter. He is a Distinguished Lecturer of the IEEE.