Qiang Yang

Fellow of the Canadian Academy of Engineering and the Royal College of Canada

Qiang Yang is a Fellow of the Engineering Institute of Canada and the Royal Institution of Canada, Chief Artificial Intelligence Advisor of Microfinance, Professor Emeritus of the Hong Kong University of Science and Technology, Chairman of AAAI-2021, and Former Chairman of the Board of Governors of the International Joint Committee on Artificial Intelligence (IJCAI). Donald E. Walker Distinguished Service Award for 2023. He is also the founding editor-in-chief of two top international journals, ACM TIST and IEEE TRANS on BIG DATA, and a Fellow of several international societies, including CAAI/AAAI/ACM/IEEE/AAAS, etc. His research interests include transfer learning and federated learning research and applications, and he has published books such as Transfer Learning, Federated Learning, Privacy in Computing, and Federated Learning in Action. Computing” and ‘Federated Learning in Practice’.