Keynote Speakers
Prof. Youfu Li, IEEE FELLLOW,
City University of Hong Kong
Prof. Li received the B.S. and M.S. degrees in electrical engineering from Harbin Institute of Technology China. He obtained the PhD degree from the Robotics Research Group, Dept of Engineering Science of the University of Oxford in 1993. From 1993 to 1995 he was a postdoctoral research staff in the Dept of Computer Science, University of Wales, Aberystwyth, UK. He joined City University of Hong Kong in 1995 and is currently a professor in the Department of Mechanical Engineering. His research interests include robot sensing, robot vision, 3D vision, visual tracking, sensor guided manipulation, mechatronics and automation. In these areas, he has published over 180 papers in SCI listed international journals. 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. He has served as an Associate Editor of IEEE Transactions on Automation Science and Engineering (T-ASE), Associate Editor of IEEE Robotics and Automation Magazine (RAM), Editor of the IEEE Robotics Automation Society's Conference Editorial Board (CEB) and Guest Editor of IEEE Robotics and Automation Magazine (RAM). He is a fellow of IEEE.
Invited Speakers
Prof. Xinli Zhang, Sichuan University, China
Doctor of Engineering, Professor/Doctoral Supervisor of Business School of Sichuan University, Head of National Online First-class Course, Excellent Teacher of Sichuan University Jiang Weiping. She is engaged in teaching and research in the field of management science and engineering. She has undertaken more than 20 national key research and development programs, national social sciences, provincial and ministerial social science funds and enterprise projects, published nearly 100 papers, and authored more than 10 textbooks or books such as "Projection pursuit hybrid Learning Methods and Applications", "Engineering Economics", "Project Risk Management", "Principles and Methods of Optimal Allocation of Water Resources"; She has won more than 60 awards in provincial science and technology, philosophy and social sciences and outstanding innovation and entrepreneurship mentors of Sichuan University.
Prof. Lun Hu
XinJiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, China
Prof. Hu ‘s focus of current research includes graph machine learning and its applications in computational biology. He has developed a series of models for intelligent analysis of complex networks. These models provide theoretical insights and detailed interpretations of how multi-source heterogeneous information integration impacts model performance. Effective solutions have been proposed for typical analytical scenarios such as community detection and link prediction, and these methods have been applied to address challenges in the domain of computational biology, yielding a range of innovative results. Recognized for his exceptional contributions, he has been honored in world's top 2% scientists list for 2023-2024. He has served as a peer reviewer for several high-impact international journals, including Nature Medicine, Advanced Science, and Communications Medicine.
Assoc.Prof. Xin Su, Wuhan University, China
Assoc.Prof. Wentao Li, Southwest University, China
