| Prof.Qingyang SongNortheastern University, China (IEEE Senior Member) Dr. Qingyang Song is a professor and doctoral advisor, recognized as a New Century Excellent Talent by the Ministry of Education. He earned his degree in Communication Engineering from the University of Sydney, Australia. He currently serves on the Board of Governors of the IEEE Vehicular Technology Society (VTS), chairs the IEEE VTS Fellowship and Scholarship Committee, and is an IEEE VTS Distinguished Lecturer as well as a Senior Member of IEEE. His primary research focuses on mobile networks, with significant innovative contributions in heterogeneous edge intelligent networks, cooperative communications, and network resource management. As a principal investigator, he has led over ten projects funded by sources including the National Natural Science Foundation of China, subprojects under the Ministry of Industry and Information Technology’s initiatives for industrial foundation revitalization and high-quality manufacturing development, national key projects, and the Ministry of Education’s doctoral fund. Dr. Song has published more than 120 high-impact papers, holds over ten national invention patents, three software copyrights, and has authored two professional books. |
| Prof. Zhaohui YangZhejiang University, China Dr. Zhaohui Yang is a Hundred Talents Program researcher and doctoral supervisor, recognized as a national young talent and a rising star by the China Association for Science and Technology. His research focuses on intelligent communication and computing integrated systems. He has published four ESI highly cited papers and over ten highly cited papers, with more than 10,000 citations on Google Scholar. Dr. Yang has been named an Elsevier Highly Cited Researcher and ranks among the top 2% of scientists worldwide. As one of the early pioneers in intelligent communication and computing integration, he has made significant innovative contributions in distributed wireless AI theoretical models and low-complexity joint scheduling of communication and computing resources. He was among the first to propose novel methods combining distributed AI with mobile communications. His key research has been featured in several authoritative 6G machine learning white papers published by Princeton University, Ericsson, ZTE, and other leading organizations. |
| Assoc. Prof. Xingwang LiHenan Polytechnic University,China (IEEE Senior Member) Dr. Xingwang Li is an Associate Professor and doctoral supervisor at the School of Physics and Electronic Information, Henan Polytechnic University. His research focuses on new theories and technologies for next-generation (5G and beyond) broadband mobile communication systems. His key areas of expertise include Non-Orthogonal Multiple Access (NOMA), intelligent reflecting surface communications, physical layer security, ambient backscatter communication, massive MIMO, 3D MIMO, hardware-constrained communications, fading channel performance analysis, and wireless information and energy co-transmission. He is a member of the Chinese Association for Artificial Intelligence and a Senior Member of IEEE. Dr. Li has led and contributed to four national research projects. Over the past few years, he has published more than 100 academic papers, including over 50 indexed by SCI, holds 10 granted national invention patents, and authored four monographs. He has also submitted two proposals to China’s IMT-2020 initiative. |
