Invited Speakers

Huaicheng Yan
East China University of Science and Technology, China
严怀成,教授,博士生导师
华东理工大学

Qinmin Yang
Zhejiang University, China
杨秦敏, 教授,博士生导师
浙江大学

Qiang Liu
Northeastern University, China
刘强,教授,博士生导师
东北大学

Dong Wang
Dalian University of Technology, China
王东, 教授,博士生导师
大连理工大学

Xiangpeng Xie
Nanjing University of Posts and Telecommunications, China
解相朋,教授,博士生导师
南京邮电大学

Youqing Wang
Beijing University of Chemical Technology, China
王友清,教授,博士生导师
北京化工大学

Hao Luo
Harbin Institute of Technology, China
罗浩, 教授,博士生导师
哈尔滨工业大学

Ziyang Meng
Tsinghua University, China
孟子阳,副教授,博士生导师
清华大学

Zhiwen Chen
Central South University, China
陈志文,副教授,博士生导师
中南大学

Chao Shang
Tsinghua University, China
尚超,特别研究员,博士生导师
清华大学

 

Biography / 个人简介:

Prof. Huaicheng Yan, East China University of Science and Technology, China
严怀成,教授,博士生导师, 华东理工大学

Biography: Huaicheng Yan received his B.Sc. degree in automatic control from Wuhan University of Technology, China, in 2001, and the Ph.D. degree in control theory and control engineering from Huazhong University of Science and Technology, China, in 2007. In 2011, he was a Research Fellow with the University of Hong Kong, Hong Kong, for three months, and also a Research Fellow with the City University of Hong Kong, Hong Kong, in 2012, for six months. Currently, he is a Professor with the School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China. He is an associate editor for IEEE Transactions on Neural Networks and Learning Systems, International Journal of Robotics and Automation, IEEE Open Journal of Circuits and Systems, etc. He has also served as chairs/co-chairs for many international conferences. He has published over 200 papers including 100 papers published in Automatica and IEEE Transactions journals. His research interests include networked control systems, multi-agent systems and robotics.

Prof. Qinmin Yang, Zhejiang University, China
杨秦敏, 教授,博士生导师,浙江大学

Biography: Qinmin Yang received the Bachelor's degree in Electrical Engineering from Civil Aviation University of China, Tianjin, China in 2001, the Master of Science Degree in Control Science and Engineering from Institute of Automation, Chinese Academy of Sciences, Beijing, China in 2004, and the Ph.D. degree in Electrical Engineering from the University of Missouri-Rolla, MO USA, in 2007.
From 2007 to 2008, he was a Post-doctoral Research Associate at University of Missouri-Rolla. From 2008 to 2009, he was an advanced system engineer with Caterpillar Inc. From 2009 to 2010, he was a Post-doctoral Research Associate at University of Connecticut. Since 2010, he has been with the State Key Laboratory of Industrial Control Technology, the College of Control Science and Engineering, Zhejiang University, China, where he is currently a professor. He has also held visiting positions in University of Toronto and Lehigh University. He has been serving as an Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Neural Networks and Learning Systems, Transactions of the Institute of Measurement and Control, Processes, and Automatica Sinica. His research interests include intelligent control, renewable energy systems, smart grid, and industrial big data.

Prof. Qiang Liu, Northeastern University, China
刘强,教授,博士生导师,东北大学

Biography:Qiang LIU, Professor and Ph.D supervisor at State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, China. He is a senior member of IEEE and the recipient of the Outstanding Young Scholar of Liaoning Revitalization Talents Program, China. He is the Committee Member and Secretariat-General of the Technical Committee on Big Data of the Chinese Association of Automation. He is also the Committee Member of the Technical Committee on Fault Detection, Supervision and Safety for Technical Processes of the Chinese Association of Automation. He served as co-Chair in a number of IEEE co-sponsored international conferences, e.g., 1st International Conference on Industrial Artificial Intelligence and 2nd International Conference on Industrial Artificial Intelligence.
His research interests include big data analytics, machine learning, statistical process monitoring and fault diagnosis of complex industrial processes. He has published more than 60 peer-reviewed papers. He won a number of academic awards, including the Best Paper Award of 2018 IEEE Conference on Intelligent Rail Transportation, F5000-Top academic papers in Chinese top quality SCI-tech Journals, Natural Science Academic Achievement Award of Liaoning Province, Excellent Doctor Degree Dissertation Nomination Award of Automation Society, China. He is a principal investigator of over 10 projects supported by National Natural Science Foundation of China (NSFC), Ministry of Education, including two Key projects supported by Natural Science Foundation of China, and National Key Research and Development Program of China.

Prof. Dong Wang, Dalian University of Technology, China
王东, 教授,博士生导师,大连理工大学

Biography: Dong Wang received the B.Sc. degree in automation and the M. Eng. degree in control theory and control engineering from the Shenyang University of Technology, Shenyang, China, in 2003 and 2006, respectively, and Ph.D. degree in control theory and control engineering from the Dalian University of Technology, China, in 2010.
Since 2010, he has been with the Dalian University of Technology, where he is currently a professor with the School of Control Science and Engineering. His current research interests include multiagent systems, distributed optimization, fault detection and switched systems.
Dr. Wang is Associate Editors of Information Sciences and Neurocomputing.

Prof. Xiangpeng Xie, Nanjing University of Posts and Telecommunications, China

解相朋,教授,南京邮电大学

Biography: Prof. Xiangpeng Xie received the B.S. degree and Ph.D. degree in engineering from Northeastern University, Shenyang, China, in 2004 and 2010, respectively. He is currently a full professor with the Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China. He is the winner of National Natural Science Foundation of Excellent Youth Foundation (2020) and Jiangsu Province Science Foundation for Distinguished Young Scholars (2019). He has been identified as the ESI Highly Cited Researchers from Clarivate (2020 and 2021).

Prof. Youqing Wang, Beijing University of Chemical Technology, China
王友清,教授,北京化工大学

Biography: Youqing Wang received the B.S. degree in Mathematics from Shandong University, Jinan, Shandong, China, in 2003, and PhD degree in Control Science and Engineering from Tsinghua University, Beijing, China, in 2008. He worked chronologically at Hong Kong University of Science and Technology, Hong Kong, China; University of California, Santa Barbara, USA; University of Alberta, Edmonton, Canada; Shandong University of Science and Technology, Qingdao, China; City University of Hong Kong, Hong Kong, China. He is currently a professor and the dean of College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China. His research interests include fault-tolerant control, state monitoring, iterative learning control, and their applications on chemical processes. Dr. Wang was a recipient of several research awards, including the NSFC Excellent Young Scientists Fund, the Journal of Process Control Survey Paper Prize, and ADCHEM2015 Young Author Prize. Dr. Wang is (was) the editorial member for six SCI journals and he is also the member of three technical committees of International Federation of Automatic Control (IFAC).

Prof. Hao Luo, Harbin Institute of Technology, China
罗浩, 教授,博士生导师,哈尔滨工业大学

Biography: Prof. Hao Luo received his B.E. degree in electrical engineering from Xi’An Jiaotong University, China, in 2007, M.Sc. degree in electrical engineering and information technology from University of Duisburg-Essen, Germany, in 2012, and the Ph.D. degree at the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen, Germany, in 2016. He is currently a full professor in School of Astronautics, Harbin Institute of Technology, China. His research interests include model-based and data-driven intelligent process monitoring and performance optimization, as well as their plug-and-play applications to industrial control systems. He currently serves as Associate Editor of IEEE Trans. on Artificial Intelligence and IEEE Access, as well as Guest Editor of IEEE Trans. on Industrial Informatics.

Assoc. Prof. Ziyang Meng, Tsinghua University, China
孟子阳,副教授,清华大学

Biography: Ziyang Meng is currently an associate professor with the Department of Precision Instrument, Tsinghua University, China. He received his B.S. degree with honors from Huazhong University of Science \& Technology, Wuhan, China, in 2006, and Ph.D. degree from Tsinghua University, Beijing, China, in 2010. He was an exchange Ph.D. student at Utah State University, Logan, USA from 2008 to 2009. Prior to joining Tsinghua University, he held postdoc, researcher, and Humboldt research fellow positions at, respectively, Shanghai Jiao Tong University, Shanghai, China, KTH Royal Institute of Technology, Stockholm, Sweden, and Technical University of Munich, Munich, Germany from 2010-2015. His research interests include distributed control and optimization, space science, and intelligent navigation technique. He serves as associate editors for Systems \& Control Letters and IET Control Theory \& Applications. He is a Senior Member of IEEE and a Fellow of IET.

Assoc. Prof. Zhiwen Chen, Central South University, China
陈志文,副教授,博士生导师,中南大学

Biography: Zhiwen Chen received his M.S.degree in electronic information and technology from Central South University, China in 2012, Ph.D.degree in electrical engineering and information technology from University of Duisburg-Essen, Germany in 2016. He is currently an associate professor at School of Automation, Central South University. He has published more than 60 peer-reviewed journal/conference papers, one book, one book chapter, and hold 13 patents. He is serving on, or has served on, several international conference as Program or Session Chair/co-chair. His research interests are fault diagnosis, process monitoring, prognostic and health management, system identification, machine learning and data mining, graph neural network.
Homapge: https://faculty.csu.edu.cn/zhiwen_chen/zh_CN/index.htm

Dr. Shang Chao, Tsinghua University, China
尚超,特别研究员,博士生导师,清华大学

Biography: Chao Shang received the B.Eng. degree in automation and the Ph.D. degree in control science and engineering from Tsinghua University, Beijing, China, in 2011 and 2016, respectively. After working as a Postdoctoral Fellow at Cornell University, he joined the Department of Automation, Tsinghua University in 2018 as an Assistant Professor. His research interests include data-driven modeling, monitoring, diagnosis and optimization with applications to industrial manufacturing processes. Dr. Shang is the recipient of Springer Excellent Doctorate Theses Award, Emerging Leaders in Control Engineering Practice, Best Paper Award of 1st International Conference on Industrial Artificial Intelligence, Zijing Scholarship of Tsinghua University, among others.