Speakers

Prof. Celimuge Wu

The University of Electro-Communications, Japan

Bio: Celimuge Wu received his PhD degree from The University of Electro-Communications, Japan. He is currently a professor and the director of Meta-Networking Research Center, The University of Electro-Communications. His research interests include Semantic Communications, Vehicular Networks, Edge Computing, IoT, and AI for Wireless Networking and Computing. He serves as an associate editor of IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Network Science and Engineering, and IEEE Transactions on Green Communications and Networking. He is Vice Chair (Asia Pacific) of IEEE Technical Committee on Big Data (TCBD). He is a recipient of 2021 IEEE Communications Society Outstanding Paper Award, 2021 IEEE Internet of Things Journal Best Paper Award, IEEE Computer Society 2020 Best Paper Award and IEEE Computer Society 2019 Best Paper Award Runner-Up. He is an IEEE Vehicular Technology Society Distinguished Lecturer.

Prof. Zhangli Lan

Chongqing Jiaotong University, China

Bio: Second-level Professor; Doctor of Engineering; Doctoral Supervisor; Postdoctoral Cooperative Supervisor. He is a Leading Talent in Innovation and Entrepreneurship of "Chongqing Talents Program" and one of the "Top Ten Teachers" of Chongqing Jiaotong University.

His main research and product development focuses on digital image processing and computer vision, AI + Healthcare, and bridge health monitoring. He has presided over more than 10 projects at or above the provincial and ministerial levels, and has won 1 First Prize, 7 Second Prizes, and 3 Third Prizes of Provincial and Ministerial Science and Technology Progress Awards, 1 Second Prize of Provincial and Ministerial Natural Science Award, and 1 First Prize of Provincial and Ministerial Teaching Achievement Award.

He has published over 60 papers in core journals and above, including more than 20 indexed by SCI and EI, and has authored 2 teaching materials and monographs. He holds nearly 100 authorized patents, among which over 40 are invention patents; many of these patented technologies have been widely developed into products. Notably, the intelligent toilet series technologies for health detection under his leadership have taken the lead in successful application at home and abroad. His reverse bionic visual acuity enhancement method has broken the traditional theory that true myopia is irreversible, helping hundreds of myopic students restore their vision, and has been reported by many major domestic mainstream media.

Prof. Shuyin Xia

Chongqing University of Posts and Telecommunications, China

Bio: Dr. Xia Shuyin is a Professor and Doctoral Supervisor. He serves as the Vice Chairman of the Chongqing Association for Artificial Intelligence and has been recognized as a National-Level Young Talent, Chongqing Outstanding Young Scholar, and Chongqing Talent. He holds the positions of Vice Dean of the School of Artificial Intelligence at Chongqing University of Posts and Telecommunications, Director of the Chongqing Key Laboratory of Computational Intelligence, and Deputy Director of the Ministry of Education’s Key Laboratory of Big Data Intelligent Security for Cyberspace. He has led several national key projects, including the National Key R&D Program, NSFC Original Exploration Project, and the National Excellent Young Scientists Fund. Collaborating with Professors Wang Guoyin and Gao Xinbo, he proposed and developed the Granular-ball Computing Theory. His research outcomes, published as first or corresponding author in top-tier artificial intelligence journals and conferences such as IEEE TPAMI, TKDE, TIP, ICML, AAAI, IJCAI, and ICDE, have attracted follow-up studies by scholars from over 40 world-renowned research institutions. His work has earned awards including the Second Prize of the National Teaching Achievement Award, First Prize of the Chongqing Natural Science Award, First Prize of the CCF Natural Science Award, and the Wu Wenjun Artificial Intelligence Science and Technology Progress Award.

Prof. Chunqiang Hu

Chongqing University, China

Bio: Prof. Chunqiang Hu is currently working as a professo and doctoral supervisor at the School of Big Data and Software Engineering, Chongqing University, Chongqing, China. He holds a double doctorate from George Washington University and Chongqing University. He is also a Chongqing Academic and Technical Leader (reserve) and an advanced worker at Chongqing University. He is a senior member of CCF; a member of ACM, IEEE, and the Chinese Cryptography Society; an executive member of the CCF Blockchain Committee; an academic secretary of CCF YOCSEF Chongqing (2023-2024); and the vice president of the Chongqing Vehicle/Road Collaboration and Intelligent Connected Vehicle Industry Technology Innovation Alliance. His research areas include federated learning, blockchain technology, privacy computing, and data-driven security. Currently, he is responsible for more than 10 national key research and development projects, including the National Natural Science Foundation (key/general/youth), Chongqing Natural Science Foundation (key/general), Chongqing Technology Innovation Special Key Project, and horizontal projects. He has published more than 100 academic papers. Prof. Hu won the second prize of the Invention Innovation Award of the China Invention Association (2023), the first prize of the Natural Science Award of Chongqing (2021), the second prize of the Natural Science Award of the China Electronics Society (2022), etc.