| Prof. Badong Chen, Xi'an Jiaotong University, ChinaBadong Chen received the B.S. and M.S. degrees in control theory and engineering from Chongqing University, in 1997 and 2003, respectively, and the Ph.D. degree in computer science and technology from Tsinghua University in 2008. He was a Postdoctoral Researcher with Tsinghua University from 2008 to 2010, and a Postdoctoral Associate at the University of Florida Computational NeuroEngineering Laboratory (CNEL) during the period October, 2010 to September, 2012. In 2015, he visited the Nanyang Technological University (NTU) as a visiting research scientist. He also served as a senior research fellow with The Hong Kong Polytechnic University in 2017. Currently he is a professor at the Institute of Artificial Intelligence and Robotics (IAIR), Xi’an Jiaotong University. His research interests are in signal processing, machine learning, artificial intelligence, neural engineering and robotics. He has published 6 books, 5 chapters, and over 300 papers in various journals and conference proceedings. Dr. Chen is an IEEE Senior Member and serves (or has served) as a Technical Committee Member of IEEE SPS Machine Learning for Signal Processing (MLSP), and a Technical Committee Member of IEEE CIS Cognitive and Developmental Systems (CDS), and an Associate Editor (or Editor Board Member) for several international journals including IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Cognitive and Developmental Systems (TCDS), Neural Networks, Journal of The Franklin Institute, and Entropy. |
| Prof. Ning Sun, Nankai University, ChinaNing Sun, born in 1988, is currently a Professor of Nankai University and an IEEE Senior Member. He was awarded the prestigious Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship for Research in Japan (Standard), the Hundred Young Academic Leaders Program of Nankai University, and many provincial/institute level talents/honorary titles. He received the B.S. degree in measurement & control technology and instruments (with honors) from Wuhan University in 2009, and the Ph.D. degree in control theory and control engineering (with honors) from Nankai University in 2014, under the supervision of Prof. Yongchun Fang. His research interests include intelligent control and applications for underactuated robots (cranes, etc.), pneumatic artificial muscle robots, industrial robots, etc., with a focus on the combination of theory and practice. Research interests: (1) Underactuated robots (cranes, etc.); (2) Pneumatic artificial muscle robots; (3) Industrial robots; (4) Intelligent control and applications. Lab address: Underactuated Robots Lab (URL), College of Artificial Intelligence, Nankai University (Jinnan Campus). |
| Prof. Haoping Wang, Nanjing University of Science and Technology, ChinaWang Haoping is a professor and doctoral supervisor at the School of Automation, Nanjing University of Science and Technology, and vice president of the Sino-French School of Engineering. He is mainly engaged in research in the fields of network servo visual control theory and methods, wearable exoskeleton robot intelligent control, etc. He has presided over national scientific research projects such as the National Natural Science Foundation of China and the Youth Fund Project, and has won the second prize of national teaching achievements. He has been teaching at Nanjing University of Science and Technology since 2011, and has served as an associate professor, doctoral supervisor, professor, and executive deputy director of the Sino-French International Joint Laboratory of Automation and Signals. As a senior member of IEEE, he participated in organizing the special lectures of the 33rd China Control Conference and served as an editor and society member in academic journals. |
| Prof. Tianlei Ma, Zhengzhou University, ChinaTianlei Ma, professor, master's supervisor, received his doctorate degree from the Shenyang Institute of Automation, Chinese Academy of Sciences in 2016. In the same year, he entered the School of Electrical Engineering, Zhengzhou University to engage in teaching and research. He was selected for the Henan Association for Science and Technology Young Talent Support Project, a key member of the Henan Province "Modern Industrial Process Intelligent Optimization and Control" innovative research team, and a key member of the Henan Province Optimization and Intelligent Control Technology Engineering Research Center. He is a winner of the Henan Province Teaching Achievement Award, the Henan Education System Teaching Skills Competition, the Zhengzhou University Teaching Achievement Award, and the Zhengzhou University Young and Middle-aged Teachers Lecture Competition. He is also a part-time secretary of the Henan Automation Society and a member of the Intelligent Control Committee of the Henan Illumination Society. Currently, he is in charge of one National Natural Science Foundation Youth Fund Project, one Henan Association for Science and Technology Youth Talent Support Project, one Henan Higher Education Key Research Project (Class A Funding), and one Henan Postdoctoral Research Project (First-Class Funding). His research directions are image processing and pattern recognition, multimodal optimization, weak signal detection, and robot intelligent control. |
