| Prof. Pan HuiFellow of the Royal Academy of Engineering, Member of Academia Europaea, IEEE Fellow The Hong Kong University of Science and Technology (Guangzhou) Pan Hui is Chair Professor of Computational Media and Arts and Director of the Center for Metaverse and Computational Creativity at HKUST (Guangzhou), and Chair Professor of Emerging Interdisciplinary Areas at HKUST. A globally recognized expert in ubiquitous computing and AR/VR, he is a Fellow of the Royal Academy of Engineering and IEEE, and a Member of Academia Europaea, and an ACM Distinguished Scientist. He has held prominent roles in both academia and industry across Europe and Asia, including Distinguished Scientist at Deutsche Telekom Laboratories and Nokia Chair in Data Science at the University of Helsinki. In addition to his academic accomplishments, Hui is a founding member of the INTEPOL Expert Group on Metaverse and a former member of the World Economic Forum Global Future Council on the Future of Metaverse. He received his Computer Science PhD from University of Cambridge. |
| Prof. Wenjun WuBeihang University Dr. Wu Wenjun's research focuses on the field of advanced scientific computing and collaborative network platforms, with current research interests including swarm intelligence and multi-agent systems, cognitive modeling and intelligent tutoring, intelligent cloud services, and intelligent software engineering. He has published over 120 academic papers in international journals and conferences and authored an English monograph on group software engineering. During his studies and work in the United States, he led and participated in research projects such as the Computational Social and Behavioral Science Grid, the Open Life Science Grid, the Next-Generation High-Throughput Gene Sequencing Grid, the Fruit Fly Gene Regulatory Network Computing Environment, and multimedia interactive collaborative environments. He has made innovative contributions to service-oriented multimedia collaboration methods and scientific information service environments, and the collaborative software he developed has been deployed and used by over 100 research institutions worldwide, earning wide recognition from the international academic community. In recent years, he has led and participated in more than 20 research projects, including the National Key Research and Development Program (Intelligent Service Adaptation), the Key Project of the National Natural Science Foundation of China (Large-Scale Collaborative Learning Theory), the National 863 Program, the National 973 Program, as well as provincial, ministerial, and enterprise collaborative projects. |
| Prof. Miaojing ShiTongji UniversityProf. 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. |
| Prof. Wei SongJiangnan UniversitySong Wei is currently an IEEE Senior Member, Associate Dean of the School of Artificial Intelligence and Computer Science at Jiangnan University, and Head of the Computational Intelligence and Machine Learning Research Group. He has also served as a panel expert for the Department of Information Sciences at the National Natural Science Foundation of China, an evaluation expert for the Degree and Graduate Education Development Center of the Ministry of Education, an evaluation expert for national research platforms, a committee member of the Artificial Intelligence and Pattern Recognition Special Committee and the Big Data Special Committee of the China Computer Federation, a committee member of the Pattern Recognition Special Committee of the Jiangsu Association of Artificial Intelligence, and a committee member of the Computer Education Special Committee of the Jiangsu Computer Federation. His research focuses on computational intelligence, machine learning, data mining, and pattern recognition. He also teaches courses such as Algorithm Analysis and Design (undergraduate) and Data Mining (graduate). His work centers on optimization methods including swarm intelligence and evolutionary computation, as well as learning and decision-making methods involving neural networks and deep learning—core areas of artificial intelligence that are essential for enabling computers with intelligence. In recent years, he has published over 100 papers in domestic and international academic journals and conferences. As first or corresponding author, he has published more than 40 SCI-indexed papers in journals such as IEEE TNNLS, TEVC, TCYB, TSMC-S, and TETCI. He holds 12 authorized national invention patents. He has presided over two General Projects and one Youth Project of the National Natural Science Foundation of China, as well as over 10 other national, provincial, and ministerial-level projects (or sub-projects). He has been selected for the Jiangsu Province High-Level Innovative and Entrepreneurial Talent Introduction Program as "Vice President of Science and Technology." He has received two First Prizes and one Second Prize of the China Business Federation Science and Technology Award. As a supervising advisor, his students have won First Prize in the MCM and Second Prize in the ICM of the American College Mathematical Modeling Contest, Second Prize in the China University Student Service Outsourcing Innovation and Entrepreneurship Competition, and Bronze Prize in the ACM International Collegiate Programming Contest (ICPC). He has published four textbooks and received the Huawei Teaching Award, Rong Zhiquan Teaching Award, Sangma Teaching Award, as well as university and school-level honors such as "Excellent Class Advisor," "Excellent Graduation Design (Thesis) Advisor," and "Outstanding Communist Party Member." |