Lan Cheng is a Professor and Doctoral Supervisor at Taiyuan University of Technology. Her research focuses on autonomous robot localization, environmental perception and 3D reconstruction. She combines a substantial research record with experience in technology transfer, including more than 50 academic publications and over 10 granted patents, three of which have been commercialized.

She has led two projects funded by the National Natural Science Foundation of China, two funded by the Shanxi Provincial Natural Science Foundation, three open-fund projects supported by national key laboratories, and multiple collaborative R&D projects. She has authored one research monograph and contributed to three textbooks, including two selected for national textbook planning programs.

Her achievements have been recognized with a Second Prize for National Defense Science and Technology Progress. She was selected for Shanxi Province's Sanjin Talent Support Program as an Outstanding Young Talent in 2018 and a Top Young Talent in 2024.

Profile details will be announced soon.

Juncheng Liu, PhD, is an Associate Professor in the School of Control and Computer Engineering at North China Electric Power University and a graduate of the Institute of Automation, Chinese Academy of Sciences. His research connects artificial intelligence with the reliable operation and control of energy systems, covering condition monitoring and fault diagnosis for renewable power generation equipment, intelligent instrumentation, optimization and control of new power systems, and AI applications in electricity markets.

He has undertaken or contributed to research supported by China's National Key R&D Program, the National Natural Science Foundation of China and funding for central universities. With more than 30 completed industry research projects, his work combines academic investigation with substantial experience in practical energy-sector challenges.

His achievements include multiple provincial and ministerial-level science and technology progress awards, more than 40 journal and conference papers, over 10 invention patents and multiple software copyrights.

Yi Guo is a Professor in the School of Automation at Beijing Institute of Technology, China. His research focuses on the control and optimization of complex networked systems, with particular expertise in stochastic and distributed optimization and their applications.

He serves as an Associate Editor of IEEE Transactions on Power Systems and Control Engineering Practice, and received the IEEE Transactions on Power Systems Best Paper Award for 2017-2019. His work brings together advanced optimization methods and the challenges of intelligent energy systems, including the coordination and control of distributed energy resources.