 | Prof. Chunyong YangSouth-Central Minzu University Dr. Chunyong Yang serves as the Dean of both the School of Electronic Information Engineering and the School of Robotics at South-Central Minzu University . He is a professor and doctoral supervisor, recognized as a young and middle-aged talent by the State Ethnic Affairs Commission. Additionally, he holds the positions of Director of the Hubei Provincial Key Laboratory of Intelligent Wireless Communications, Executive Director of the Hubei Optical Society, and Director of the Hubei Communication Society, and is one among the 10,000 outstanding innovation and entrepreneurship mentors across the nation. Furthermore, he acts as a senior consultant for China Telecom Hubei Branch and is the founder of the Smart Optical Communications Laboratory.His research program focuses on advanced optical communication technologies,with notable achievements in orbital angular momentum optical transmission, visible light broadband communication, intelligent sensing technologies, and Internet of Things applications. He currently leads one General Program funded by the National Natural Science Foundation of China and one major project supported by the Hubei Provincial Natural Science Foundation. His scholarly contributions include over 50 publications in leading international journals such as APL Photonics and Optics Express, alongside 22 granted Chinese invention patents. He has served as Co-Chair for prestigious international conferences including the Asia Communications and Photonics Conference (ACP 2022) and the IEEE Photonics Global Conference (PGC 2023). His researchexcellence has been recognized with the Second Prize of the Hubei Provincial Natural Science Award and the Third Prize of the Hubei Provincial Technological Invention Award. |
 | Prof. Ling XuChangzhou University Xu Ling, Ph.D., Post-Doctoral Fellow, Professor, Master's Supervisor, Visiting Scholar at the University of Victoria, Canada, and Director of the Jiangsu Provincial University Outstanding Scientific and Technological Innovation Team on "Industrial Process Modeling, Optimization, and Intelligent Manufacturing." Her research focuses on system identification, signal processing, control theory and applications. She has been selected as a Young and Middle-Aged Academic Leader under the Jiangsu Provincial University "Qinglan Project," an Outstanding Young Faculty Member under the Jiangsu Provincial University "Qinglan Project," and a Third-Level Candidate of the Fifth Phase of the Jiangsu Provincial "333 Talent Project." She has presided over one General Program of the National Natural Science Foundation of China, one Provincial Post-Doctoral Research Funding Project, one Project funded by the Jiangsu Provincial "333 Talent Project," and one General Project of the Jiangsu Provincial University Natural Science Research Program. She has received two Third-Class Prizes of the Jiangsu Provincial Science and Technology Award, two First-Class Prizes of the Jiangsu Provincial Higher Education Scientific Research Achievement Award (Natural Science), and one First-Class Prize of the China Petroleum and Chemical Automation Industry Science and Technology Award (Natural Science Award). She has published over 70 SCI-indexed papers with more than 4,000 citations. Her papers have been selected as 8 ESI Hot Papers and 25 ESI Highly Cited Papers. She was selected as a 2019 "Clarivate" Global Highly Cited Researcher in the field of Engineering. |
 | Assoc. Prof. Zhu SuCentral China Normal University Zhu Su is an associate professor and doctoral supervisor at the Laboratory of Artificial Intelligence and New Educational Forms, Central China Normal University. He has long been engaged in research on complex networks, graph neural networks, recommendation systems, and data mining. He has successively led over ten projects, including National Natural Science Foundation of China Youth Projects, General Projects, Sub-projects of Major Projects, Hubei Provincial General Projects, and Wuhan Knowledge Innovation Special Projects. He has published more than 40 academic papers in domestic and international journals such as TKDE, IPM, Scientific Data, ESWA, and BJECT. |
| Dr.GHIATH AL AQELUniversity of Shanghai for Science and Technology Dr. Ghiath Al Aqel is a Lecturer at the Sino-British College, University of Shanghai for Science and Technology. He received his Ph.D. in 2018 from HUST in Industrial Engineering and has over six years of teaching experience in Industrial Engineering, Management, and Mechanical Engineering. His research focuses on optimization algorithms, planning, and scheduling, and data science. |
