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. Dr.-Ing. 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 an associate 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.

 

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.

 

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.

 

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 B. S. degree in electronic information science and technology and M.S.degree in electronic information and technology from Central South University, China,in 2008 and in 2012, respectively, 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 40 peer-reviewed journal papers. 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