Prof. Fushuan Wen
IEEE Fellow 

Zhejiang University, China

Fushuan Wen, an IEEE Fellow, is a renowned expert in power systems and power economics. Since May 1997, he has held the position of professor and doctoral supervisor at Zhejiang University. In addition, he has been serving as the inaugural director of the Institute of Electric Power Economy and Information Technology at Zhejiang University since 1999. From 2005 to 2010, he was honored as a distinguished professor under the "Pearl River Scholars" program in Guangdong Province. Furthermore, he assumed the role of Vice President of School of Electric Power at South China University of Technology during this period while also being appointed as the first director of the Institute of Electric Power Economy and Power Market. Notably, Professor Wen holds positions as a professor at Hainan Research Institute of Zhejiang University and Director researcher at Shenzhen Institute of Artificial Intelligence and Robotics. He has contributed his expertise globally by serving as a professor, visiting professor or visiting researcher in more than 10 prestigious overseas universities and research institutions including the National University of Singapore. More than 200 papers have been included in the Science Citation Index (SCI), over 670 in Engineering Index (EI), more than 780 in Scopus, and more than 17,900 cited papers. Since 2015, he has been consistently recognized as a highly cited scholar in China by Elsevier for eight consecutive years. The research findings received the National Natural Science Award in 1997. Additionally, seven other accomplishments were honored with provincial and ministerial science and technology progress awards. He has also been granted special government subsidies from The State Council. Furthermore, he serves as the Editor-in-Chief of Energy Conversion and Economics (SPERI, IET), Associate Editor of Power Systems Automation magazine, and is a member of the editorial board or feature editor for over ten other publications.

Prof. Moquan Shen

IEEE Member

Nanjing Tech University,China

Moquan Shen is a professor and doctoral advisor at the School of Electrical Engineering and Control Science, Nanjing University of Technology. He has also served as a postdoctoral fellow at Southeast University, visiting scholar at the University of Hong Kong, Lingnan University in South Korea, and the University of Adelaide in Australia. In 2015, he was selected as one of the cultivation objects for the "Six Talents Peak" program in Jiangsu Province. He has successfully led 8 projects at provincial and ministerial levels including the National Natural Science Foundation, New Teachers Fund for doctoral programs by the Ministry of Education, and Natural Science Fund of Jiangsu Province. Over the past five years, he has published more than 40 papers in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Cybernetics, and IEEE Transactions on Systems Man and Cybernetics: Systems; among them are 3 ESI hot papers and 8 ESI highly cited papers. Currently serving as an Associate Editor for four international journals including Journal of Systems and Control Engineering Editorial Office. Additionally, he serves as a reviewer for over 60 domestic and foreign journals such as IEEE TAC and Automatica. And he also acts as a corresponding reviewer for the National Natural Science Foundation.

Prof.  Song Zhu

China University of Mining and Technology, China

Song Zhu, a male born in 1982 in Suqian, Jiangsu Province, is a professor and holds a Doctorate degree. He serves as a doctoral supervisor and graduated from Huazhong University of Science and Technology in 2010. Furthermore, he has achieved notable accomplishments including winning the third prize of Natural Science of Hubei Province (2/4) and the Science and Technology Award of Jiangsu Industrial and Applied Mathematics Society. Additionally, he has successfully led over 10 key projects funded by the National Natural Science Foundation with an emphasis on surface projects. His research contributions are evident through his publication record which includes more than 100 SCI academic papers featured in prestigious journals such as IEEE Transactions and Science in China. Notably, he has authored over 20 SCI academic papers with an impact factor exceeding 10. In recognition of his expertise, he was seconded to the Information Science Department of the National Natural Science Foundation Committee for consecutive years (2017-2022). His research interests encompass various areas including stability theory of stochastic systems, dynamic behavior analysis of neural networks, memristor technology applications, as well as fluid networks.

Prof. Qiang Chen

Zhejiang University of Technology, China

Qiang Chen is a Full Professor of Zhejiang University of Technology (ZJUT), and has awarded National Natural Science Fund for Excellent Young Scholars in 2022. His research direction is adaptive and learning control of nonlinear servo systems. He received the Ph.D. degree in control science and engineering from Beijing Institute of Technology, Beijing, China, in 2012. He is currently the director of the institute of data-driven control and learning systems in ZJUT. He has hosted 3 National Natural Science Foundation projects, 1 Zhejiang Provincial Natural Science Foundation key project, and participated in 1 National Natural Science Foundation key project. He has published one English academic monograph and over 100 academic papers as the first/corresponding author in high-level domestic and international journals and conferences, in which 10 papers are highly cited/hot topics in ESI. More than 50 invention patents have been authorized as the first inventor, and 15 of them have been converted. He has received awards and honors such as the Second Prize of Invention, Entrepreneurship and Innovation from the China Invention Association, the Outstanding Paper Award at the International Conference IEEJ SAMCON 2021, the Outstanding Paper of Young Science and Technology Workers in Zhejiang Province in 2023, and the Second Prize of the National Electrical Engineering Teaching Competition. He is selected in the 2023 Global Top 2% Scientists List at Stanford University in the United States, and has been serving as committee members including the Data Driven Control, Learning and Optimization Committee of the Chinese Society of Automation, the Intelligent Aerospace Systems Committee of the Chinese Artificial Intelligence Society, and a director of the Zhejiang Electric Power Society, the second Youth Editorial Board of the Journal of Engineering Science, and the Assistant Editorial Board of the Journal of Intelligent Systems.

Prof. Ronghu Chi

Qingdao University of Science and Technology, China

Ronghu Chi received the Ph.D. degree in systems engineering from Beijing Jiaotong University, Beijing China, in 2007. He was a Visiting Scholar with Nanyang Technological University, Singapore from November 2011 to May 2012, and a Visiting Professor with University of Alberta, Edmonton, AB, Canada from November 2014 to March 2015. In 2007, he joined Qingdao University of Science and Technology, Qingdao, China, and is currently a full professor in the School of Automation and Electronic Engineering. He is a deputy director of the Technical Committee of Data-driven Control, Learning and Optimization (DDCLO), Chinese Association of Automation, and several members of other Technical Committees. He also severs as a TPC Chair of IEEE Data Driven Control and Learning Systems Conference, and various positions in other international conferences. He was the invited guest editor of International Journal of Robust and Nonlinear Control, International Journal of Automation and Computing, etc. He has published more than 100 peer-reviewed papers, as well as 2 academic monographs in Springer. He is a recipient of a number of awards including Natural Science Award of Chinese Association of Automation, Science and Technology Progress Award of Henan Province, etc. His current research interests include intelligent learning control, data-driven control, motion systems, multi-agent systems, and so on. 

Prof. Simon X. Yang
IEEE Senior Member

University of Guelph, Canada

Simon X. Yang obtained his B.Sc. degree in Engineering Physics from Peking University, Beijing, China. He then pursued two M.Sc. degrees in Biophysics from the Chinese Academy of Sciences, Beijing and an additional M.Sc. degree in Electrical Engineering from the University of Houston, Houston, TX. Subsequently, he earned his Ph.D. degree in Electrical and Computer Engineering from the University of Alberta, Edmonton, AB, Canada. He is currently serving as a Professor and Head of the Advanced Robotics and Intelligent Systems Laboratory at the University of Guelph in Guelph, ON, Canada. Dr. Yang's research interests encompass a wide range including robotics, intelligent systems control systems sensors and multi-sensor fusion wireless sensor networks bio-inspired intelligence neural networks machine learning fuzzy systems evolutionary computation intelligent agriculture intelligent communications intelligent transportation computational neuroscience. Dr. Yang has actively participated in various professional activities throughout his career such as serving as Editor-in-Chief and Associate Editor for several international journals while also being involved in organizing numerous international conferences. Additionally, he has served on grant review panels for NSERC CIHR and other grant agencies.