KEYNOTE SPEAKERS
Prof. Guangjie Han, Hohai University, China (IEEE/IET/AAIA Fellow, Dean) | |
Prof. Guangjie Han, Ph.D., Professor (Level II) / Doctoral Supervisor, is the Dean of the School of Information Science and Engineering at Hohai University. He is an IEEE Fellow, an IET/IEE Fellow, and an AAIA Fellow. His main research areas include Industrial Internet of Things, Smart Oceans, Artificial Intelligence, and Mobile Computing. In recent years, he has published over 350 high-level SCI journal papers in international journals such as IEEE JSAC, IEEE TMC, IEEE TON, and IEEE TPDS (including more than 130 papers in the IEEE/ACM Transactions series). To date, his works have received over 17,200 citations on Google Scholar, with an H-index of 68. He has authored 3 monographs and translated 1 book. He has led more than 30 provincial and ministerial level projects, including the National Key Research and Development Program and key projects of the National Natural Science Foundation. He holds 130 authorized national invention patents and 6 PCT international authorized patents. Honors include the Second Prize of the Science and Technology Award from the China Federation of Commerce, the Third Prize of the Jiangsu Provincial Science and Technology Award, the Second Prize of the Liaoning Provincial Science and Technology Progress Award, and the Best Paper Award from the IEEE Systems Journal (2020). He has been ranked among the top 2% of scientists globally for five consecutive years (2019-2023), appearing on both the “Lifetime Scientific Impact Ranking” (1960-2022) and the “Scientific Impact Ranking” lists; he was also included in Elsevier’s list of 100,000 scientists for lifetime scientific impact in 2020 and has been recognized as a highly cited researcher in China by Elsevier for four consecutive years (2020-2023). Currently, he serves as associate editor for several international journals, including IEEE TII, IEEE TVT, IEEE TCCN, and IEEE Systems. He is recognized as a high-level talent in Jiangsu Province (Level II of the 333 Talent Program), an outstanding young and middle-aged expert with significant contributions in Jiangsu Province, a Minjiang Scholar Chair Professor, and has received the May Day Labor Medal in Changzhou City, among other honors. |
Prof. Xiyuan Chen, Southeast University, China (IEEE Senior Member) |
The recipient of Southeast University’s first Young Faculty Teaching and Research Funding Program (2003), selected in 2006 for the Ministry of Education’s “New Century Talent Support Program” and Jiangsu Province’s “Qinglan Project” training program, became a Jiangsu Province “Six Talent Peaks” training candidate (Category A) in 2008, and was honored with the China Industry-University-Research Cooperation Innovation Award in 2015. He has received honors including Outstanding Communist Party Member of Southeast University, Advanced Individual in the Pioneer and Excellence Competition, and Excellent Supervisor of Southeast University. He currently serves concurrently as the Vice Chairman of the Academic Committee on Ship Instruments and Equipment of the China Society of Naval Architects and Marine Engineers, director of the China Instrument and Control Society, director of the China Society of Naval Architects and Marine Engineers, director of the China Ocean Engineering Consulting Association, vice chairman of the Jiangsu Association for Scientific Instrumentation, secretary general of the 10th Council of the Jiangsu Instrument and Control Society, member of the Jiangsu Graduate Education Steering Committee for Engineering (Category 1), member of the 10th Jiangsu Association for Science and Technology, invited reviewer for over 60 high-level domestic and international SCI/EI journals, communication review expert for various National Natural Science Foundation of China projects including General, Key, and Outstanding Youth programs, communication reviewer for national and Ministry of Education scientific projects and award evaluations, and the “Ten Thousand Talents Plan,” among others. |
Prof. Azlan Mohd Zain, Universiti Teknologi Malaysia, Malaysia (H-index: 42) |
Azlan Mohd Zain (Member, IEEE) received the master’s degree in science (productivity and quality improvement) from Universiti Kebangsaan Malaysia (UKM) and the Ph.D. degree in computer science from Universiti Teknologi Malaysia (UTM), in 2010. He is currently a Professor with the Faculty of Engineering, School of Computing, UTM. He is also the Director of the UTM Big Data Research Centre. As an academic staff, he has successfully supervised more than 25 postgraduate students and received more than 20 research grant funding to support research students. He has published more than 100 research papers. He has been invited as keynote speaker at over five international conferences, serves on numerous committees, and has served on editorial board for three international journals. |
Prof. Celimuge Wu, The University of Electro-Communications, Japan (IEEE Senior Member) |
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 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. He is aForeign Fellow of The Engineering Academy of Japan. |
Title: Semantic CommunicationsSystems for Remote Driving
Abstract: The explosive growth of data, the continuous surge in the number of connected devices, and the increasing demand for real-time applications are posing unprecedented challenges to existing network architectures. As an emerging communication paradigm to address this trend, semantic communications have attracted widespread attention in recent years. Taking video transmission in remote driving as an example, this talk introduces an innovative semantic communication system that can more effectively deliver video data. Experimental results based on the prototype system demonstrate that the proposed system achieves significant performance improvements compared with both existing semantic communication methods and traditional non-semantic communication approaches. |
Prof. Yi Xu, Anhui University, China |
Yi Xu is a professor of School of Computer Science and Technology, Anhui University, China. Her research interests include intelligent computing, granular computing and edge computing. She has published over 60 papers in influential international academic journals and at various conferences. She has led many national and provincial research projects, including those funded by the National Natural Science Foundation of China and the Natural Science Foundation of Anhui Province. She serves as a member of CAAI’s Professional Committee on Granular Computing and Knowledge Analysis and a senior member of CCF. |