Prof. Maoguo Gong, Inner Mongolia Normal University (China)

Brief Introduction: Professor Maoguo Gong is a Second-level Professor and Doctoral Supervisor at Inner Mongolia Normal University, a National-level Leading Talent, and Director of the Key Laboratory of Collaborative Intelligence and Machine Learning. He enjoys the Special Government Allowance of the State Council. He has long been engaged in research on collaborative intelligence and machine learning, having presided over more than 30 national-level research projects including the National Key R&D Program and key projects of the National Natural Science Foundation of China. He has published over 200 papers in top international journals and conferences such as IEEE TPAMI and IEEE TEVC, with over 30,000 citations on Google Scholar. He has been continuously selected as a Clarivate Highly Cited Researcher with an H-index exceeding 90. He has received the Second Prize of the National Natural Science Award and the First Prize of the Natural Science Award of Inner Mongolia Autonomous Region, and serves on the editorial boards of multiple international academic journals.

Prof. Qingqi Pei, Xidian University (China)

Brief Introduction: Professor Qingqi Pei is a Professor and Doctoral Supervisor at Xidian University, a member of the National Cybersecurity Standardization Technical Committee, and was selected as a National Cyberspace Innovation Talent in 2025. He has long been dedicated to research on network and information security, blockchain technology, and their applications. He has presided over or participated in more than 40 national-level projects, including the National Key R&D Program and the National Natural Science Foundation of China. He has published over 200 academic papers, been granted more than 150 invention patents, and led the formulation of over 10 international and national standards. His research achievements have been recognized with the Second Prize of the National Technological Invention Award and the First Prize of the Shaanxi Provincial Science and Technology Award, among other prestigious honors, establishing significant academic influence in trusted computing and blockchain security.

Prof. Yan Zhang, University of Oslo (Norway)

Brief Introduction: Professor Yan Zhang is a Fellow of the European Academy of Sciences, a Fellow of the Norwegian Royal Academy of Sciences, a Fellow of the Norwegian Academy of Engineering, an IEEE Fellow, and an IET Fellow. He has been continuously selected as a Clarivate Highly Cited Researcher for many years. He currently serves as the Co-Editor-in-Chief of IEEE Transactions on Industrial Informatics (TII). He has long been engaged in research on Industrial Internet, edge intelligence, and 6G communications, having published over 400 academic papers with more than 60,000 citations on Google Scholar and an H-index of 123. He has presided over multiple EU and Norwegian national-level research projects and has received numerous international honors, including the IEEE SMC Society's highest academic award. He holds extensive international influence in the fields of edge computing and the Internet of Things.

Prof. Lei Li, Beijing University of Posts and Telecommunications (China)

Brief Introduction: Professor Lei Li received her Ph.D. in Engineering from Beijing University of Posts and Telecommunications (BUPT) in 2001. She is currently the Director of the Intelligent Science and Technology Center at BUPT, a Doctoral Supervisor, and the Deputy Director of the Natural Language Understanding Committee of the Chinese Association for Artificial Intelligence (CAAI). Her research focuses on multimodal intelligent information processing, natural language processing, and multimodal knowledge graphs. She has presided over multiple national-level projects, including those funded by the National Natural Science Foundation of China and sub-projects of the National Key R&D Program. She has published over 100 academic papers, authored several academic monographs, and holds multiple invention patents. Her research achievements have been widely applied in fields such as intelligent education, intelligent question answering, and cognitive alignment, and she has received multiple provincial and ministerial-level science and technology awards.