2025年4月18-20日，我院举办第七届信息科学、电气与自动化工程国际学术会议，特邀7位国内外相关领域专家学者作学术报告，欢迎自动化学院及全校相关教师、博士生、硕士生参加！
报告地点：新主楼五楼报告厅、E1404
报告时间：2025年4月19日9:00-17:00
报告专家：Bin Zhou, Harbin Institute of Technology, China
报告题目：Prescribed-Time Control by Periodic Delayed Feedback
专家简介：Bin Zhou is a recipient of the National Outstanding Youth Science Fund, an awardee of the National Hundred Excellent Doctoral Dissertations, a recipient of the Chinese Youth Science and Technology Innovation Award, a recipient of the Excellent Young Scientists Fund from the National Natural Science Foundation, a winner of the Second Prize of the National Natural Science Award, a selected member of the Education Ministry's New Century Excellent Talents Support Program, and a recipient of the First Prize of the Natural Science Award from the Chinese Association of Automation (ranking first). He is a professor and doctoral supervisor at the Harbin Institute of Technology, and the director of the Control Theory and Guidance Technology Research Center. His research interests include time-varying systems, nonlinear control, multi-agent systems, spacecraft control, and aircraft guidance and control. He has published over 200 papers in top journals in the field, such as Automatica, IEEE Transactions on Automatic Control, and SIAM Journal on Control and Optimization. He currently serves on the editorial boards of international journals including Automatica, IEEE Transactions on Automatic Control, IEEE Transactions on Aerospace and Electronic Systems, and IEEE Transactions on Systems, Man, and Cybernetics: Systems.
专家简介：Guangchen Wang, Shandong University, China
报告题目：Robust optimal control of Bi-objective LQ system with noisy observation
专家简介：Guangchen Wang received the B.S. degree in mathematics from Shandong Normal University in 2001, and the Ph.D. degree in probability theory and mathematical statistics from the School of Mathematics and System Sciences, Shandong University in 2007. From July 2007 to August 2010, he served as a Lecturer at the School of Mathematical Sciences, Shandong Normal University. He joined the School of Control Science and Engineering, Shandong University as an Associate Professor in September 2010, where he has been a Full Professor since September 2014. His research interests include stochastic control, nonlinear filtering, and mathematical finance. He is the Recipient of Outstanding Young Project of the National Natural Science Fund.
报告专家：Xiaowu Mu, Zhengzhou University, China
报告题目：Event-Triggered Tracking Control for Networked Random Switched System under Constrained Environments
专家简介：Xiaowu Mu is a distinguished professor and doctoral supervisor at Zhengzhou University, received his Bachelor's, Master's, and Doctoral degrees from Peking University in 1983, 1988, and 1991, respectively. Since 1993, he has enjoyed the State Council Special Allowance for Outstanding Contributions. From 2006 to 2017, he served as a member of the Undergraduate Teaching Guidance Committee of Education Department. Since 2021, he has served as the Executive Director and Vice Chairman of Henan Mathematical Society. He was selected for the 2024 edition of the World’s Top 2% Scientists list. His research primarily focuses on Nonlinear Systems, Stochastic Hybrid Systems, Networked Systems, and Multi-Agent Systems. He has led four projects supported by the National Natural Science Foundation of China and published over 180 high-level academic papers.
报告专家：Derui Ding, University of Shanghai for Science and Technology, China
报告题目：Secure Platooning Control of Automated Vehicles
专家简介：Derui Ding received the Ph.D. degree in Control Theory and Control Engineering in 2014 from Donghua University, Shanghai, China. He is currently a professor in University of Shanghai for Science and Technology, Shanghai, China. His research interests include distributed control, filtering and optimization, learning-based control as well as data mining. He was a Highly Cited Researcher in 2019 and 2020 according to Clarivate Analytics. He was the recipient of the 2021 Nobert Wiener Review Award from IEEE/CAA Journal of Automatica Sinica, and the 2020 and 2022 Andrew P. Sage Best Transactions Paper Awards from the IEEE Systems, Man, and Cybernetics (SMC) Society. He is a Senior Member of both the Chinese Association of Automation (CAA) and the Institute of Electrical and Electronic Engineers (IEEE). He is serving as a Deputy Editors-in-Chief for International Journal of Network Dynamics and Intelligence, an Associate Editor for IEEE Transactions on Industrial Informatics, IEEE/CAA Journal of Automatica Sinica, Neurocomputing and IET Control Theory & Applications.
报告专家：Weibo Liu, Brunel University London, U.K.
报告题目：AI-Based Industrial Data Analytics for Metal Additive Manufacturing
专家简介：Weibo Liu received the B.S. degree in electrical engineering from the Department of Electrical Engineering & Electronics, University of Liverpool, Liverpool, U.K., in 2015, and the Ph.D. degree in artificial intelligence in 2020 from the Department of Computer Science, Brunel University London, Uxbridge, U.K. He is currently a Lecturer in the Department of Computer Science, Brunel University London, Uxbridge, U.K. His research interests include intelligent data analysis, evolutionary computation, transfer learning, machine learning and deep learning. He was the recipient of the 2019 Chinese Government Award for Outstanding Self-financed Students Abroad. He is a Member of the Institute of Electrical and Electronic Engineers (IEEE). He serves as an Associate Editor for the Journal of Ambient Intelligence and Humanized Computing and the Journal of Cognitive Computation. He is a very active reviewer for many international journals and conferences.
报告专家：Raquel Caballero-Águila, University of Jaén, Spain
报告题目：Distributed estimation in networked stochastic systems: Some recent advances and perspectives
专家简介：Raquel Caballero-Águila is a Professor in the Department of Statistics and Operations Research at the University of Jaén, Spain. She received her MSc and PhD degrees in Mathematics from the University of Granada, Spain, in 1997 and 1999, respectively. Her research interests include time-varying stochastic systems, complex networks and design of estimation al algorithms to address emerging challenges in networked systems. Prof. Caballero-Águila has authored numerous scientific papers in refereed international journals indexed in Journal Citation Reports (JCR) and has been included in recent editions of the Spanish National Research Council (CSIC) ranking of most cited Spanish female researchers. She has participated in different research projects both as a research member and as a principal investigator. She serves as a reviewer for Mathematical Reviews and is an academic editor for the journals Mathematical Problems in Engineering, Journal of Control Science and Engineering, and Systems Science and Control Engineering. In addition, she has reviewed for prestigious international journals, and has actively contributed to the organization and chairing of sessions at international conferences. Her research has been further enriched through international collaborations, including research visits to Kagoshima University (Japan) and Harbin University of Science and Technology (China).
报告专家：Chaoqing Jia, Harbin University of Science and Technology, China
报告题目：Recursive State Estimation and Boundedness Analyses for Complex Dynamical Networks under Unreliable Communication
专家简介：Chaoqing Jia is an Associate Professor and Master Supervisor in the Department of Artificial Intelligence, Harbin University of Science and Technology, Harbin, China. From February 2024 to February 2025, he was an academic visitor with the Department of Computer Science, Brunel University London, Uxbridge, U.K. He has published over 20 SCI indexed papers, authored 1 monograph, and granted 8 invention patents. Moreover, he has hosted 6 projects under research including National Natural Science Foundation of China, Heilongjiang Provincial Natural Science Foundation of China, Heilongjiang Provincial Postdoctoral Science Foundation of China, etc. His research interests include distributed filtering and optimal state estimation for complex dynamical systems.