I am a Chair Professor in the Department of Electronic and Electrical Engineering, at Southern University of Science and Technology (SUSTech). Prior to joining SUSTech, I was a Professor in the Department of Computing Science at the University of Alberta for over 30 years. I received my BSc degree from Northeastern University (USA) and my PhD from Purdue University. I had an 18-month post-doctoral training at the University of Pennsylvania before coming to Canada. I am holding an adjunct appointment at the University of Alberta. My research interests include robotics, computer vision, and image processing. I have worked in a number of areas in robotics and, for the past 10+ years, my focus has been on visual robot navigation. While working in Canada. In 2003-17, with support from the Canadian federal and provinncial governments, I held an NSERC Industrial Research Chair to conduct research in computer vision and image processing that addressed the practical challenges facing Alberta’s mining industry. As a member of the NSERC Strategic Network on Robotics, I worked closely with Canadian academic colleagues and industrial partners on mobile robotics research. I am active in the international robotics community, in a variety of roles in ICRA and IROS communities, as well as other IEEE RAS sponsored conferences. In recognition of my research contributions, I am elected a Fellow of IEEE, and a Fellow of the Canadian Academy of Engineering.

Shi Zhenghao, Ph.D., Professor, Doctoral Supervisor, Member of the Academic Committee of Xi'an University of Technology, Outstanding Member of CCF, IEEE Senior Member, "500 Elite Talents" of Taizhou City, Zhejiang Province, Executive Director of Shaanxi Computer Society, Chairman of the "Computer Vision Technology Professional Committee" of Shaanxi Computer Society, Vice Chairman of the "Biomedical Intelligent Computing Professional Committee" of Shaanxi Computer Society, Head of the "Intelligent Image Processing and Application" research team at Xi'an Technological University, with main research directions in machine vision, medical image processing, and machine learning. Published 60 academic papers as first author or corresponding author, authorized 15 invention patents (including 1 South African invention patent), won 2 second prizes of Shaanxi Science and Technology Progress Award (ranked first), 1 second prize of Xi'an Science and Technology Progress Award (ranked first), and 3 second prizes of Shaanxi Higher Education Science and Technology Award (ranked first). Firstly, One second prize for scientific and technological progress from Shaanxi Computer Society (ranked first), one first prize for technological invention from Shaanxi Computer Society (ranked first), and the "Wiley China Open Science High Contribution Author" award.

Prof. Miaojing Shi is currently a Full Professor at Tongji University, Head of the Department of Control Science and Engineering. He received his PhD degree with the Key Laboratory of Machine Perception, Peking University. He also engaged with a joint PhD program with the University of Oxford and INRIA Rennes. Prior to joining Tongji, he held a Senior Lecturer at King's College London. His current research focus lies in multimodal learning and understanding with an especial focus on medical AI. He has received funding over millions from China (NSFC), EU (ERC), UK (EPSRC) and France (ANR). He has published over 90 publications with most in top-tier AI venues such as TPAMI, IJCV, CVPR, ICCV, NeurIPS etc.. and has also been regularly serving as area chairs for prestigious AI conferences such as AAAI, IJCAI, ACM MM etc. He was selected as forty under forty AI talents by La French Tech in 2018 and was the recipient of the F2 innovation award in 2018-2019 by France-China Committee. He is a Xiaomi Young Scholar, a Senior Member of IEEE, and a Fellow of HEA.

Professor Yudong Zhang, chief professor at Southeast University, is a national high-level talent. His research interests include artificial intelligence, deep learning, and medical image processing. He is a fellow of IET/ EAI/ BCS, a senior member of IEEE and ACM, and an ACM distinguished speaker. He was recognized as a highly cited researcher by Clarivate Analytics from 2019 to 2024 and was among the top 2% of scientists in the world according to Stanford University from 2020 to 2023. He received the Emerald Citation of Excellence award in 2017 and the Best Paper Award at the Information Fusion in 2022, among others. Three of his papers were included in the UK's Research Excellence Framework 2021.

Prof. Pun received his Ph.D. degree in Computer Science and Engineering from the Chinese University of Hong Kong in 2002, and his M.Sc. and B.Sc. degrees from the University of Macau. He served as the Head of the Department of Computer and Information Science at the University of Macau from 2014 to 2019, and is currently a Professor with the Department of Artificial Intelligence and Department of Computer Science and in charge of the Image Processing and Pattern Recognition Laboratory at the Faculty of Information Science and Computing. He has served as Principal Investigator for numerous externally funded research Projects, including those supported by FDCT-NSFC and FDCT-MOST, and authored/co-authored more than 300 refereed papers in many top-tier Journals (including TPAMI, TIFS, TIP, TDSC, TKDE, and TMM) and Conferences (including CVPR, ICCV, ECCV, AAAI, NeurIPS, ICML, ICDE, MM, and VR), and co-invented several China/US Patents. He is also the recipient of the Macao Science and Technology Award 2014 and the Best Paper Award in the 6th Chinese Conference on Pattern Recognition and Computer Vision (PRCV2023). Dr. Pun has served as the General Chair/Co-Chair/Program Chair for many international conferences such as the 10th and 11th International Conference on Computer Graphics, Imaging and Visualization (CGIV2013, CGIV2014), the IEEE International Conference on Visual Communications and Image Processing (VCIP2020) and the International Workshop on Advanced Image Technology (IWAIT2022), etc., and regularly serves as the Area Chair/Senior Program Committee for many top-tier conferences such as NeurIPS, MM, AAAI, IJCAI, BMVC, etc. (2021-now). He is currently serving as the Editorial Board member for the journal of Artificial Intelligence (AIJ, 2024-now). Besides, he has been listed in the World's Top 2% Scientists by Stanford University since 2020. His research interests include Image Processing and Pattern Recognition; Multimedia and AI Security; Medical Image Analysis, etc.

Keynote Speaker VI

Prof. Hongjian Shi, Beijing Normal University-Hong Kong Baptist University United International College, China

Keynote Speaker VII

Assoc. Prof. Zhangjin Huang, University of Science and Technology of China, China