| Bo AiVice President, IEEE Fellow Beijing Jiaotong University, China Bo Ai currently serves as a Standing Committee Member of the Party Committee and Vice President of Beijing Jiaotong University. In 2017, he was awarded the National Science Fund for Distinguished Young Scholars. In the same year, he was selected into the National Ten Thousand Talents Program (Leading Talents) by the Organization Department of the CPC Central Committee. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE Fellow), a Fellow of the International Academy of Automation and Artificial Intelligence (AAIA Fellow), and a Fellow of the Institution of Engineering and Technology (IET Fellow). He holds the positions of Council Member of the Chinese Institute of Electronics (CIE), Deputy Director of the Intelligent Transportation Information Engineering Branch of CIE, and Deputy Director of the Communications Branch of CIE. His previous appointments include serving as a teacher at the Engineering College of the Chinese People's Armed Police Force, a postdoctoral researcher in the Department of Electronic Engineering at Tsinghua University, a teacher at the School of Electronic and Information Engineering of Beijing Jiaotong University, a teacher at the State Key Laboratory of Rail Traffic Control and Safety, Deputy Secretary and Deputy Dean of the School of Electronic and Information Engineering, and Dean of the School of Electronic and Information Engineering. From March to September 2015, he was a visiting senior research scholar in the Department of Electrical Engineering at Stanford University, USA. In 2016, he was selected as a leading innovative talent in science and technology among middle-aged and young scientists by the Ministry of Science and Technology of China. From 2020 to 2022, he was consecutively listed among the World's Top 2% Most Cited Scientists. In 2022, he became the leader of an innovative research group supported by the National Natural Science Foundation of China. Bo Ai is dedicated to research in broadband mobile communication systems, dedicated mobile communication, communication engineering, and artificial intelligence. |
 | Pingyi FanMember of NAAI, Winner of NAAI 2025 AI Exploration Award, IET Fellow Tsinghua University,China He is a tenured professor in the Department of Electronic Engineering at Tsinghua University, Director of the Open Source Data Cognitive Innovation Center, a Member (Academician) of the United States National Academy of Artificial Intelligence (US-NAAI) and the recipient of the NAAI 2025 AI Exploration Award & Outstanding Scientist Award, theCo-Chair of the Academic Committee of the NAAI Institute for Asia, the IET Fellow, and a member of the International Review Committee of IET Fellows. He received his Ph.D. from the Department of Electronic Engineering of Tsinghua University in 1994 and stayed on to teach. He has published more than 600 academic papers, including 181 IEEE journals and 16 ESI highly cited papers. He has applied for more than 40 national patents, 7 international patents, and published 5 academic works. He has won the Best Paper Award at 16 IEEE and other international conferences, including IEEE ICCCS 2024, ICC2020, and Globecom2014, the IEEE TAOS 2020 Best Paper Award, the 2024 High Impact Paper Award from the Chinese Journal of Electronics (CJE) of the Chinese Institute of Electronics, and the IEEE DCASE2024 Challenge Judge’s Award (DCASE2024 Challenge), AEIC (2023) Most Popular Scholar Award, IEEE TWC (2009) Excellent Editor Award, etc. He is currently on the editorial board of IEEE Transactions on Cognitive Communications and Networking (TCCN) (2024-2026), the editorial board of IAES international Journal of Artificial Intelligence (IJAI) (2023-2026), MDPI Section Editor-in-Chief of Electronics (2025-2027), The Chair of China 6G-ANA TG4 , etc. He has served as the General Chair, TPC Chairman or the Keynote Speaker more than 40 times at international conferences. His main research interests include 6G wireless communication networks and machine learning, semantic information theory and big data processing theory, and intelligent network and system detection. Speech Title:Generative AI-Empowered Semantic Communications and Applications |
 | Qiubo Ye National High-level Talent, IEEE Senior Member Hohai University, China |
Qiubo Ye is currently a Professor and Doctoral Supervisor at the College of Information Science and Engineering, Hohai University. In addition, he has served as Director of the Low-Altitude Technology Innovation Center since October 2025. He is a Senior Member of IEEE and has long held key positions in multiple IEEE chapters and societies. He has been awarded the title of National Distinguished Expert and selected into the Fujian Provincial “Hundred Talents Program” and the Xiamen “Double Hundred Talents Program”. He engaged in cutting-edge scientific research and teaching in North America for an extended period. After returning to China, as a national high-level talent, he has continuously led discipline development and technological innovation in relevant fields. He has published over 180 academic papers, authored and edited multiple monographs, and holds a number of invention patents. His research interests cover computational electromagnetics, antenna design and engineering, electromagnetic compatibility (EMC) / electromagnetic interference (EMI), wireless communications, as well as artificial intelligence technology and its applications in electromagnetic fields. During his tenure in North America, he focused on the research and development of numerical computation methods for electromagnetic fields, whose achievements have been widely applied in industry, national defense and aerospace sectors. Upon returning to China, he has further broadened his research scope, with key research focuses on millimeter-wave antennas, AI-based antenna design technologies, wireless signal modulation and recognition, and radio wave propagation characteristics in complex environments. He also actively promotes industry-university-research integration. Speech Title: Challenges for Base Station Antennas in Low-Altitude Technologies | |
 | Yajuan Xue Vice Dean Chengdu University of Information Technology, China |
Professor, Doctoral Supervisor. Distinguished Expert with Outstanding Contributions of Sichuan Province. Candidate for Academic and Technical Leader of Sichuan Province. Recipient of the Sichuan Outstanding Youth Academic and Technical Leader Funding Program. Overseas High-Level Talents of Sichuan Province. China State-Sponsored Visiting Scholar at the Department of Exploration Geophysics, Curtin University, Australia (2018). Nominee for the International Eni Award (2016). In recent years, she has published over 120 papers in high-impact domestic and international journals and major academic conferences, including 59 SCI-indexed papers (13 in top-tier SCI journals) and 74 EI-indexed papers. She has authored 2 monographs and been granted 13 invention patents. She has served as Principal Investigator for 20 vertical research projects, including General Programs and Youth Programs of the National Natural Science Foundation of China (NSFC), the Sichuan Outstanding Youth Academic and Technical Leader Funding Program, and the Sichuan Provincial Special Project for Central Government-Guided Local Science and Technology Development. She has also led multiple industry-funded collaborative projects. Additionally, as a key research member, she has participated in 5 national-level projects, including Joint Fund Projects, Key Programs, and General Programs of NSFC, as well as sub-projects of the National Key R&D Program of the Ministry of Science and Technology. She has undertaken multiple collaborative projects with Sinopec and PetroChina. She is a Senior Member of IEEE, an Active Member of SEG, a Lifetime Member of the Chinese Geophysical Society, and a Senior Member of the China Communications Society. Speech Title: Local Quantum Filtering and Denoising of Seismic Data Based on the Schrödinger Equation-based Adaptive Transformation | |
 | Min Wang Vice Dean SouthWest Petroleum University, China |
Min Wang, Professor, Doctoral Supervisor, Vice Dean of the School of Electrical Engineering and Information, Southwest Petroleum University, and Candidate of Academic and Technical Leader of Sichuan Province. She leads a research team dedicated to intelligent prediction and decision-making under dynamic environments. She is a member of the National Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Director of the Key Laboratory of Artificial Intelligence and Integrated Circuits, a Senior Member of IEEE, a Senior Member of the Chinese Association for Artificial Intelligence (CAAI), and a Distinguished Expert of Tianfu Yongxing Laboratory. Currently, she serves as a Standing Committee Member of the Granular Computing and Knowledge Discovery Special Committee of CAAI. As a think-tank expert, she has been deeply involved in project evaluations for the Chengdu-Chongqing Economic Circle, as well as major scientific programs such as the National Defense 173 Program, and the review of scientific research awards. She has led over 40 vertical and horizontal research projects, including the National Natural Science Foundation of China (NSFC) and National Major Science and Technology Projects for Oil and Gas. She has authored two monographs and published over 30 SCI-indexed papers as the first author in top-tier journals such as TDKD and TCSVT. Her achievements have earned five provincial/ministerial-level science and technology progress awards, including a second prize as the top recipient. Speech Title: Active Learning for Non-IID Data: A Hierarchical Sampling Methodology and Its Applications | |
 | Ruonan Zhang New Century Excellent Talent of the Ministry of Education Northwestern Polytechnical University, China |
Ruonan Zhang is a professor and doctoral advisor at the School of Electronic Information, Northwestern Polytechnical University; Director of the Shaanxi Provincial Internet of Things Engineering Laboratory; and Chair of the “Specialized Committee on Intelligent Communication Networking and Anti-Interference Technology” of the Shaanxi Communications Society. He previously served as a chip R&D engineer at Motorola and Freescale Semiconductor. His primary research interests include wireless channel measurement and modeling, aerospace telemetry, tracking, and communication, as well as Internet of Things (IoT) technologies and applications. He has led projects under the National Key Research and Development Program, the “863 Program,” the National Natural Science Foundation of China, the National Space Science Foundation, and collaborative projects with Huawei. |
