| Prof. Qinyuan LiuTongji University, China Qinyuan Liu is a Tenured Professor and Doctoral Supervisor at the School of Computer Science and Technology, Tongji University. He is a recipient of the National Excellent Young Scientists Fund and has been recognized as a Shanghai Chenguang Scholar. He received his Bachelor's degree from Huazhong University of Science and Technology in 2012 and his Ph.D. from Tsinghua University in 2017, where he was honored with the First Prize of the Outstanding Doctoral Dissertation of Tsinghua University, the Outstanding Doctoral Dissertation Award of the Chinese Association of Automation, and the Outstanding Graduate of Tsinghua University. Between 2014 and 2016, he conducted research visits to the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology. From 2016 to 2017, he served as an International Researcher in the Department of Computer Science at Brunel University, London. During 2021-2022, he was seconded to the Industrial Development Promotion Center of the Ministry of Industry and Information Technology, serving as a Project Manager for National Key Research and Development Programs. His research interests encompass multi-sensor data fusion, time series forecasting, anomaly detection and fault diagnosis, image processing, and machine learning. He has led or participated in over 10 national and provincial/ministerial-level projects, including those funded by the National Natural Science Foundation of China, the National Key Research and Development Program, and the "New Generation Artificial Intelligence" Major Project of the Science and Technology Innovation 2030 Agenda. He has published one monograph with Springer and over 50 papers, with more than 30 appearing in IEEE Transactions and Q1 journals. Five of his papers have been selected as ESI Highly Cited Papers. His accolades include the Second Prize of the Beijing Natural Science Award, the Beijing Qilin Science and Technology Award, the Wu Wenjun Artificial Intelligence Science and Technology Outstanding Youth Award, the ACM Shanghai Rising Star Award, and the Young Scholar Outstanding Paper Nomination Award at the World Artificial Intelligence Conference. He serves as a Guest Editor/Associate Editor/Editorial Board Member for five international journals, including Control Engineering Practice and the International Journal of Systems Science. He has also acted as an Associate Editor, Program Committee Member, and Invited Session Organizer for over 10 international conferences and is a reviewer for more than 20 domestic and international journals and conferences. He is a committee member of several professional societies, including the Youth Working Committee of the Chinese Association for Artificial Intelligence, the Technical Committee on Fault Diagnosis of the Chinese Association of Automation, the Technical Committee on Intelligent Control and Systems of the Chinese Institute of Command and Control, and the Blockchain Committee of the Chinese Institute of Electronics. Furthermore, he serves as an expert reviewer for funding agencies such as the National Natural Science Foundation of China and the National Key Research and Development Program, as well as for the Shanghai Science and Technology Awards. |
| Prof. Derui DingUniversity of Shanghai for Science and Technology, China Prof. Ding is a National High-Level Young Talent and a Ph.D. holder. He currently serves as a professor and doctoral supervisor at the School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology. He received his Ph.D. in Control Theory and Control Engineering from Donghua University in December 2014. In June 2012 to September 2012, he worked as a Research Assistant at The University of Hong Kong. From March 2013 to March 2014, he conducted visiting research at Brunel University London under the sponsorship of the China Scholarship Council. From June 2015 to August 2015, he served as a Research Assistant at City University of Hong Kong. His research primarily focuses on the control and filtering of stochastic systems. |
| Prof. Zhenhua WangHarbin Institute of Technology, China Zhenhua Wang, Ph.D., is a professor and doctoral supervisor in the Department of Control Science and Engineering, School of Astronautics, Harbin Institute of Technology. He is also a recipient of the National Youth Talent Program. His main research interests include fault diagnosis and fault-tolerant control, digital twin technology, and satellite emergency control. He has presided over three National Natural Science Foundation of China projects, three provincial-level projects, and multiple horizontal projects from aerospace research institutes and companies. Additionally, he has participated in two National Science and Technology Major Projects. He has published over 80 SCI-indexed papers, authorized more than 10 national invention patents, authored one academic monograph, and contributed to one textbook. His achievements have earned him several research awards, including the Natural Science First Prize from the Chinese Association of Automation, the First Prize of Heilongjiang Provincial Science and Technology Progress Award, and the Second Prize of Natural Science Award from Ningxia Hui Autonomous Region. He has been listed multiple times among the top 2% of scientists worldwide. He serves as a member of the IEEE Technical Committee on Robust and Complex Systems, the IFAC Technical Committee on Modeling, Identification and Signal Processing, and the IFAC Technical Committee on Aerospace. He also holds editorial roles as an associate editor for several international journals, including IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Industrial Informatics, Asian Journal of Control, and European Journal of Control. |
