Dr. Cheng Li received the Ph.D. degree in Management Science and Engineering. He is currently a Professor and the Dean of the College of Air Transportation (Flight College) at Shanghai University of Engineering Science, Shanghai, China. He also serves as a Member of the Academic Committee of the university and the Chair of the College Academic Committee. Dr. Li's research interests include intelligent transportation systems, aviation operations management, and optimization in complex engineering systems.
He has extensive experience in academic administration and interdisciplinary research. He has served as Deputy Party Secretary and Vice Dean of the College of Air Transportation (2014-2024), and was a Visiting Scholar at Tongji University from 2013 to 2014. He is actively engaged in professional societies, serving as a Standing Director of the Shanghai Society of Aeronautics, a member of its Academic Committee, an expert in the Shanghai Science and Technology Expert Database, a science popularization expert of the Chinese Society of Aeronautics and Astronautics, and a research fellow of the China Society of Logistics. His work contributes to bridging academic research and engineering applications in aviation and transportation systems. Dr. Jiaxin Yuan received his M.S. degree from Xi'an Jiaotong University, Xi'an, China, in 2013, and the Ph.
D. degree from Shanghai Jiao Tong University, Shanghai, China, in 2018. He was a Visiting Scholar at Shaanxi Normal University in 2022. He is currently an Associate Professor with the Shanghai University of Engineering Science, Shanghai, China. Dr. Yuan's research focuses on distributed optimization and control of nonlinear multi-agent systems, including resource allocation, time-constrained control, disturbance rejection, and intelligent control of UAV systems. He has published multiple peer-reviewed papers in leading international journals and has been actively involved in academic research and engineering applications in networked control systems. His recent work emphasizes the integration of optimization and control, as well as learning-based approaches for complex dynamic systems.
Qingxiang Ao is currently a graduate student at the Shanghai University of Engineering Science, Shanghai, China. His research interests include distributed optimization and control of nonlinear multi-agent systems, adaptive dynamic programming, and time-constrained control methods. His recent work focuses on resource allocation, disturbance rejection, and intelligent coordination of UAV systems.