Keynote Speakers
Prof. Youfu Li, IEEE Fellow
City University of Hong Kong, China
Biography: 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.
Prof. Yu Bai
Monash University, Clayton, Australia
Biography: Prof. Yu BAI received his Bachelor’s and Master’s degrees in Civil Engineering from Tsinghua University, and his Ph.D. in Structural Engineering from the Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland. He holds a full professorship in the Department of Civil and Environmental Engineering from 2018 at Monash University, Australia. His research efforts are dedicated to the development of connections and systems for structural assembly, using complementary material advantages, and through modern building technologies such as modular construction and robotic construction. He has published over 200 research papers in these fields and received more than 14,000 citations in his academic career. His research work has led to the completion of the handbook for the design of modular structure. He is the lead chief investigator for a large project awarded by the Australian Research Council focused on the multi-robot system for structural assembly and construction automation.
Assoc. Prof. Teck Khim
National University of Singapore, Singapore
Biography: Teck Khim is an Associate Professor of practice in the School of Computing, National University of Singapore. His research interest is mainly on geometrical computer vision, image processing and signal processing. Teck Khim earned his Ph.D. from Carnegie Mellon University in 1999. His thesis topic was on reconstructing 3D large scenes from 2D images. He obtained his bachelor and master degrees from National University of Singapore in 1992 and 1988 respectively. Teck Khim was with the defence R&D for the Ministry of Defence of Singapore for many years before joining the academia. Prior to joining NUS, he was running the Signal Processing Lab of DSO National Laboratories, Singapore. He is currently serving as a Vice Dean of NUS School of Computing.
Invited Speaker
Assoc. Prof. Wenhao KANG
Guangzhou Institute of Science and Technology, China
Biography: Prof. Kang holds a Doctor of Engineering degree from The Hong Kong Polytechnic University, specializing in Artificial Intelligence. He currently serves as an associate professor at the School of Artificial Intelligence, Guangzhou Institute of Science and Technology. With over ten years of industry experience in the FinTech department of a commercial bank, Prof. Kang has accumulated extensive practical expertise in digital banking projects and technology implementation. His primary research focuses include FinTech, artificial intelligence, knowledge graphs, and smart sensors. He has authored multiple academic papers published in renowned SCI-indexed journals, contributing valuable insights to the fields of AI and its application in finance and intelligent systems.