Young Scholars Forum

Bi Yin 毕莹 教授
Zhengzhou University, China 郑州大学

Biography: Bi Ying, PhD, Distinguished Professor, selected by National Young Talent Program. She received her PhD from Victoria University of Wellington, New Zealand, where she studied under Professor Mengjie Zhang (Fellow of the Royal New Zealand Academy of Sciences, Fellow of the New Zealand Academy of Engineering, IEEE Fellow) and Professor BingXue (Fellow of the New Zealand Academy of Engineering and Associate Dean of the School of Engineering and Computing, Victoria University of Wellington).  She has been engaged in theoretical and applied research in genetic programming, evolutionary computing, machine learning, computer vision and other fields for a long time, published the world's first English monograph on image classification based on genetic programming, published 55 academic papers in international academic journals and conferences, including 25 SCI journal articles, published 16 papers as the first or corresponding author of TOP journals of the first region of the Chinese Academy of Sciences.15 in the IEEE Journal series. Ranked 93rd (> 16,000 researchers) on The GPBibliography, the website for global genetic planning algorithms. Served as the guest editor of Applied Soft Computing and Memetic Computing, the SCI Region I journals. Organized the workshop on evolutionary data mining and machine learning in IEEE International Data Mining Conference (2021, 2022) for two consecutive years. She is the Vice Chair of the IEEECIS Symposium on Evolutionary Computer Vision and Image Processing, a member of the IEEE CIS Symposium on Evolutionary Feature Selection and Construction, and has organized several relevant symposiums at the famous international conferences on evolutionary computing, such as IEEE CEC and IEEE SSCI. She has been the reviewer of important journals in more than 20 fields and the member of the program committee of more than 20 internationally renowned academic conferences. Member of the IEEE Women in Computing Intelligence Committee, Chair of the 2024 International Conference on Evolutionary Computing (IEEE CEC) Symposium, Vice President of Student Affairs for the 2023 Conference on Genetic and Evolutionary Computing (GECCO), Participated in the organization of two international academic conferences IEEE CEC 2019 and Australasian AI 2018.

Keke Huang 黄科科 教授
Central South University, China 中南大学

Biography: Keke Huang received the B.S. degree in automatic control from Northeastern University, Shenyang, China, in 2012, and the Ph.D. degree in control science and engineering from Tsinghua University, Beijing, China, in 2017. He was an Associate Professor with Central South University, Changsha, China, from April 2017 to September 2021, where he is currently a Full Professor with the School of Automation. His research interests include industrial big data, process monitoring and control, and network sciences.

Gangshan Jing 井冈山 教授
Chongqing University, China 重庆大学

Biography: Gangshan Jing received the Ph.D. degree in Control Theory and Control Engineering from Xidian University, Xi’an, China, in 2018. From 2016 to 2017, he was a research assistant in Department of Applied Mathematics, at Hong Kong Polytechnic University. From 2018 to 2019, he was a postdoctoral researcher in Department of Mechanical and Aerospace Engineering, at Ohio State University. From 2019-2021, he was a postdoctoral researcher in Department of Electrical and Computer Engineering, at North Carolina State University. Since 2021 Dec, he has been with College of Automation, Chongqing University, Chongqing. His research interests include distributed control, optimization, and machine learning for network systems.

Huiping Li 李慧平 教授
Northwestern Polytechnical University, China 西北工业大学

Biography: Huiping Li received the B.Sc. and M.Sc. degrees in mechanical engineering and automatic control from Northwestern Polytechnical University, Xi'an, China, in 2006 and 2009, respectively, and the Ph.D. degree in mechanical engineering from the University of Victoria, Victoria, BC, Canada, in 2013.,Since 2013, he has been with the School of Marine Science and Technology, Northwestern Polytechnical University, where he is currently a Full Professor. His research interests include model predictive control, multiagent systems, and distributed and cooperative control of marine vehicles.,He is an Associate Editor for IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, and ASME Journal on Dynamic Systems, Measurement and Control.

Jing Na 那靖 教授
Kunming University of Science and Technology, China 昆明理工大学

Biography: Jing Na received the B.Eng. and Ph.D. degrees in control engineering from the School of Automation, Beijing Institute of Technology, Beijing, China, in 2004 and 2010, respectively. From 2011 to 2013, he was a Monaco/ITER Post-Doctoral Fellow with ITER Organization, Saint-Paul-ls-Durance, France. From 2015 to 2017, he was a Marie Curie Intra-European Fellow with the Department of Mechanical Engineering, University of Bristol, Bristol, U.K. Since 2010, he has been with the Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China, where he became a Professor in 2013. He has coauthored one monograph and more than 100 international journal and conference papers. His current research interests include intelligent control, adaptive parameter estimation, applications for robotics, vehicle systems, and wave energy convertor. Dr. Na was a recipient of the Best Application Paper Award of the third IFAC International Conference on Intelligent Control and Automation Science, and the Hsue-shen Tsien Paper Award, in 2017. He has served as the Organization Committee Chair for Data Driven Control and Learning Systems Conference (DDCLS) 2019 and the International Program Committee Chair for International Conference on Identification, Modeling and Control 2017. He is currently an Associate Editor of IEEE Transactions on Industrial Electronics and Neurocomputing.

Jun Shang 尚骏 教授
Tongji University, China 同济大学

Biography: Jun Shang received the B.Eng. degree in control science and engineering from Harbin Institute of Technology, in 2013, and the Ph.D. degree in control science and engineering from Tsinghua University, in 2018. From September 2018 to January 2023, he was a Postdoctoral Fellow with the Department of Electrical and Computer Engineering, University of Alberta, Canada. He is currently a Professor with the Department of Control Science and Engineering, Tongji University. His research interests include fault diagnosis, cyber-physical security, and networked control.

Gang Wang 王钢 教授
Beijing Institute of Technology, China 北京理工大学

Biography: Gang Wang received the B.Eng. degree in automatic control and the Ph.D. degree in control science and engineering from the Beijing Institute of Technology, Beijing, China, in 2011 and 2018, respectively, and the Ph.D. degree in electrical and computer engineering from the University of Minnesota, Minneapolis, MN, USA, in 2018. Since July 2018, he has been a Postdoctoral Researcher with the University of Minnesota. Since August 2020, he has been a Professor with the School of Automation, Beijing Institute of Technology. His research interests include signal processing, control, and reinforcement learning with applications to cyber–physical systems and multiagent systems. Dr. Wang was a recipient of the Best Paper Award from the FITEE in 2021, the Excellent Doctoral Dissertation Award from the Chinese Association of Automation in 2019, the Eusipco Best Student Paper Award in 2017, and the Best Conference Paper at the 2019 IEEE Power and Energy Society General Meeting. He is currently an Associate Editor of Signal Processing and the IEEE Transactions on Signal and Information Processing Over Networks, and an Early Career Advisory Board Member of the IEEE/CAA Journal of Automatica Sinica.

Dan Ye 叶丹 教授
Northeastern University, China 东北大学

Biography: Dan Ye received the B.S. and M.S. degrees in mathematics and applied mathematics from Northeast Normal University, China, in 2001 and 2004, respectively, and the Ph.D. degree in control theory and engineering from Northeastern University, China, in 2008. From 2008 to 2010, she was a Lecturer with Northeastern University. She is currently a Professor with the College of Information Science and Engineering, Northeastern University. Her research interests include fault-tolerant control, robust control, adaptive control, and security of cyber-physical systems.

Tangwen Yin 尹堂文 助理研究员
Shanghai Jiao Tong University, China 上海交通大学

Biography: Yin Tangwen received the B.S. degree in computer science from the National University of Defense Technology, Changsha, China, in 2002, the M.S. degree in precision instrument and machinery from the University of Shanghai for Science and Technology, Shanghai, China, in 2008, and the Ph.D. degree in control science and engineering from Shanghai Jiao Tong University, Shanghai, in 2018.,He is currently an Assistant Professor in automation with the School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University. His research interests include virtual physics artificial intelligence, aircraft design and control, algebraic geometry, stochastic control, and charged solar particles stream power and propulsion.

Dan Zhang 张丹 教授
Zhejiang University of Technology, China 浙江工业大学

Biography: Dan Zhang received the B.E. degree in automation and the Ph.D. degree in control theory and control engineering from Zhejiang University of Technology in 2007 and 2013, respectively. He was a Research Fellow with Nanyang Technological University, Singapore, from 2013 to 2014, the National University of Singapore, Singapore, from 2016 to 2017, and the City University of Hong Kong, China, from 2017 to 2019. Currently, he is a Professor with Zhejiang University of Technology. His research interests include area of industrial cyber-physical systems, deep learning, and its applications. He serves as an Associate Editor for ISA Transactions, International Journal of Control, Automation and Systems, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, IET Electronics Letters, and Cyberphysical Systems.

Ke Zhang, Professor 张柯 教授
Nanjing University of Aeronautics and Astronautics, China 南京航空航天大学

Biography: Ke Zhang received the Ph.D. degree in control theory and engineering from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2012. He is currently a Full Professor with the Nanjing University of Aeronautics and Astronautics. He has published two books and over 100 referred international journal papers and conference papers. From May 2018 to April 2019, he was a Visiting Scholar with the School of Engineering and Digital Arts, University of Kent, Kent, U.K. His research interests include fault diagnosis and fault-tolerant control of dynamical systems and their applications. Prof. Zhang currently serves as an Associate Editor for Franklin Open.