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Keynote Speakers | 大会主讲人

BDAI2026 Keynote Speakers  
 
BDAI 2026 | July 3-5, 2026 | Chongqing, China

Prof. Irwin King
Pro-Vice-Chancellor (Education) at The Chinese University of Hong Kong, Hong Kong, China
金国庆教授, 香港中文大学协理副校长(教育)

Fellow of ACM, Fellow of IEEE, Fellow of AAAI, Fellow of INNS

Biography: Professor Irwin King is a globally recognized scholar in the field of machine intelligence, currently serving as the Pro-Vice-Chancellor (Education) and Professor at the Department of Computer Science & Engineering at The Chinese University of Hong Kong. His extensive research interests encompass a wide range of areas, including trustworthy AI, machine learning, social computing, AI, and data mining. Professor King is a Fellow of esteemed societies and associations, such as the ACM, IEEE, AAAI, and INNS. Throughout his career, he has assumed various leadership roles in numerous prominent conferences and societies. Notably, he held the position of President of the International Neural Network Society, General Co-chair for conferences such as WebConf 2020, ICONIP 2020, ACML 2015, RecSys 2013, and WSDM 2011. Additionally, he has held leadership capacities in conferences such as WWW, NIPS, ICML, IJCAI, AAAI, and ICONIP. Presently, Professor King continues to serve as the Vice-President of the ACM SIGWEB, the Vice-President of the WebConf Steering Committee, and a board member of the International Neural Network Society (INNS) and Asia Pacific Neural Network Society (APNNS).
Professor King has received numerous prestigious awards for his contributions to the field of machine intelligence. Notable accolades include the 2021 INNS Dennis Gabor Award for engineering applications of neural networks, the 2020 APNNS Outstanding Achievement Award, and several Test of Time Awards from ACM conferences such as CIKM2019, SIGIR 2020, and WSDM 2022. During his sabbatical leave at AT&T Labs Research in San Francisco, he was a Visiting Professor and taught classes at UC Berkeley.
Presently, Professor King is the Director of the Centre for Learning Innovation and Technology (ELITE), dedicated to promoting eLearning through education technology. Additionally, he oversees the Machine Intelligence and Social Computing (MISC) Lab, which conducts research in machine learning-related fields.
Professor King holds a Bachelor of Science degree in Engineering and Applied Science from the California Institute of Technology (Caltech) and obtained his Master of Science and Doctor of Philosophy degrees in Computer Science from the University of Southern California (USC).


Prof. Yingxu Wang
University of Calgary, Canada & Chongqing University of Science and Technology, China
王迎旭教授, 加拿大卡尔加里大学终身教授 & 重庆科技大学
重庆智能数学与自主智能研究院院长/首席科学家

IEEE Fellow

Biography: Prof. Yingxu Wang, FIEEE, FBCS, FI2CICC, FAAIA, FNYA, FWIF, P.Eng.; Professor emeritus, Dept. of ECE and Hotchkiss Brain Institute, Univ. of Calgary, Canada; Distinguished Chair Prof., Dean of Chongqing Research Institute of Intelligent Mathematics (IM) and Autonomous Intelligence (AI*), RI-IM.AI*; President of Int'l Institute of Cognitive Informatics and Cognitive Computing (I2CICC); Visiting Professors on sabbaticals at Stanford Univ. (2008|16), MIT (2012), UC Berkeley (2008), Oxford Univ. (1995|2018-23). Distinguished Visiting Professor at Tsinghua Univ. (2019-2022). Academic Committee Member of Tsinghua Beijing National Center of Information Science and Technology.
He received a PhD in Computer Science from Nottingham Trent University, UK in 1998, and has been a full professor since 1994. He is a distinguished chair professor of intelligent mathematics, intelligence science, brain science, and software science, Dean and Chief Scientist of CQRI-IM.AI*, and Honorary Chair of the University Academic Committee, Chongqing Univ. of Science and Technology (CQUST).
He has contributed to fundamental and transdisciplinary knowledge of AI*/IS/IM by: a) Formally proofing 100+ theorems in IM and IS; and b) Presenting 100+ invited keynote speeches in international conferences.