Speakers

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Prof. Youfu Li

City University of Hong Kong , China

You-Fu Li received the PhD degree in robotics from the Department of Engineering Science, University of Oxford in 1993. From 1993 to 1995 he was a research staff in the Department of Computer Science at the University of Wales, Aberystwyth, UK. He joined City University of Hong Kong in 1995 and is currently professor in City University of Hong Kong (Dongguan). His research interests include robot sensing, robot vision, and visual tracking. In these areas, he has published over 400 papers including over 200 SCI listed journal papers. Dr Li has received many awards in robot sensing and vision including IEEE Sensors Journal Best Paper Award by IEEE Sensors Council, Second Prize of Natural Science Research Award by the Ministry of Education, 1st Prize of Natural Science Research Award of Hubei Province, 1st Prize of Natural Science Research Award of Zhejiang Province, China.  He was on Top 2% of the world’s most highly cited scientists by Stanford University, 2020- and Career Long. He has served as an Associate Editor for IEEE Transactions on Automation Science and Engineering (T-ASE), Associate Editor and Guest Editor for IEEE  Robotics and Automation Magazine (RAM), and Editor for CEB, IEEE International Conference on Robotics and Automation (ICRA). He is a fellow of IEEE.


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Prof. Qinglin Zhao

City University of Hong Kong, China

Prof. Qinglin Zhao, IEEE Senior Member and China CCF Member, is a Professor with the School of Computer Science and Engineering (SCSE) at the Macau University of Science and Technology (MUST), Macau. He received his Ph.D. degree from the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China in 2005. Following his doctoral studies, he worked as a Postdoctoral Researcher with The Chinese University of Hong Kong and the Hong Kong University of Science and Technology from May 2005 to August 2009, before joining SCSE, MUST in September 2009. His research interests encompass machine learning, blockchain and Web 3.0, Internet of Things, wireless communications and networking, edge computing, and quantum machine learning. Prof. Zhao has published more than 100 peer-reviewed papers, including 30 IEEE Transactions papers, and holds more than 30 patents, including 8 U.S. patents. He received the BOC Excellent Research Award from Macau University of Science and Technology in both 2011 and 2015. Currently, he serves as an Associate Editor for IEEE Transactions on Mobile Computing and IET Communications, General Chair of the 34th IEEE Wireless and Optical Communications Conference (WOCC 2025), and as an expert review committee member for the Guangdong Science and Technology Award.


Ka Chun WONG

Assoc. Prof. Ka Chun Wong

Hong Kong Convention Ambassador

City University of Hongkong, China

Ka-Chun WONG is an Associate Professor in the Department of Computer Science at City University of Hong Kong and has been consistently recognized as one of the world's top 2% most highly cited scientists by Stanford University. He obtained his BEng and MPhil degrees from The Chinese University of Hong Kong and his PhD from the Department of Computer Science at the University of Toronto, a department renowned for its Nobel Prize and Turing Award-winning contributions to modern AI (deep learning).
Professor Wong's research spans a wide range of cutting-edge fields, with a focus on Data Science, Bioinformatics, Evolutionary Computation, Applied Machine Learning, and Natural Computing. He is dedicated to solving complex interdisciplinary problems through high-impact computing. His work significantly contributes to several United Nations Sustainable Development Goals (SDGs), including Zero Hunger, Good Health and Well-being, and Clean Water and Sanitation.

As a highly productive and influential scholar, Professor Wong has an h-index of 42 and over 5,700 citations on Scopus. He actively contributes to the academic community by serving as an Associate Editor for several prestigious international journals, including the IEEE Journal of Biomedical and Health Informatics and the IEEE Transactions on Computational Biology and Bioinformatics.

Speech Title: Vision Safety from Real-Time Physical Vulnerabilities to Ultra-Fast Robust Network Design