Prof. Haitao Zhang

IEEE Fellow

National Science Fund for Distinguished Young Scholars

Huazhong University of Science and Technology‌, China

Hai-Tao Zhang is the Deputy Dean of the School of Artificial Intelligence and Automation at Huazhong University of Science and Technology, a Second-Level Professor, a Distinguished Scholar at Huazhong, a Doctoral Supervisor, an IEEE Fellow， a recipient of the State Council Special Allowance, a National Science Fund for Distinguished Young Scholars awardee, a Young Scholar in the Ministry of Education's Changjiang Scholars Program, a National Young Talent in the "Ten Thousand Talents Program," a National Excellent Youth Science Fund awardee, the Director of the Ministry of Education Engineering Center for Autonomous Intelligent Unmanned Systems, and the Chief Scientist of the National Key R&D Program on New-Generation Artificial Intelligence under the National Science and Technology Innovation 2030 initiative. He obtained his Ph.D. from the University of Science and Technology of China in 2005, conducted postdoctoral research at the University of Cambridge in 2007, was promoted to professor in 2010, and was appointed as a doctoral supervisor in the same year. 

Zhang specializes in areas such as swarm intelligence, autonomous unmanned surface vehicle swarms, and multi-robot collaborative manufacturing. He has led several major national-level projects, including the National Science and Technology Innovation 2030 Key Projects, two joint key projects funded by the National Natural Science Foundation of China, and GF Key Projects. He has published over 150 SCI-indexed papers, including more than 100 papers in prestigious journals such as Nature Machine Intelligence, Nature Communications, National Science Review, Automatica, and IEEE Transactions. He has authored three English monographs published by Springer. Zhang has received two First Prizes for Natural Science in Hubei Province and one First Prize for Technological Invention in Guangdong Province, ranking first in these awards. He has been listed among Stanford University's top 2% of global scientists. His theoretical achievements in swarm intelligence have been highlighted by Nature Physics, and his applied research results have been reported by the Ministry of National Defense and the State Council. He holds 37 authorized invention patents, six of which have been transferred, and has contributed to one national standard. His research achievements have been commercialized in organizations such as China State Shipbuilding Corporation and Guangzhou Shipyard International. He is a board member of the Chinese Association of Command and Control and has served as an editorial board member or associate editor for journals such as IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Circuits and Systems II, Engineering (the journal of the Chinese Academy of Engineering), Unmanned Systems, Control Theory and Applications, and Robot. Additionally, he has been on the program committees of important international conferences such as IEEE CDC, ACC, and IFAC.

Prof. Jing Xu

National Science Fund for Distinguished Young Scholars

Tsinghua University‌, China

Jing Xu, Tenured Professor at Tsinghua University, Doctoral Supervisor, and recipient of the National Science Fund for Distinguished Young Scholars. His research primarily focuses on intelligent robotics and smart manufacturing. He has led dozens of projects, including those funded by the National Natural Science Foundation of China and the Beijing Natural Science Foundation. He has published over 100 SCI-indexed papers in journals such as IEEE TRO and IEEE TPAMI, with several papers being selected as highly cited papers or receiving best paper awards at international conferences. He has also authored one English monograph. As the first inventor, he has been granted more than 40 invention patents. As the first contributor, he has received numerous awards, including the First Prize of the Beijing Technical Invention Award, China's Top Ten Scientific and Technological Progress in Intelligent Manufacturing, the First Prize of the Technical Invention Award from the China Instrument and Control Society, the Grand Prize of the Beijing Invention and Innovation Competition, and the First Prize of the Invention and Entrepreneurship Award from the China Invention Association. He has been named among Stanford University's world's top 2% scientists. He has also won the First Prize of the National Teaching Achievement Award in Higher Education and the First Prize of the Beijing Higher Education Teaching Achievement Award. He serves as an editorial board member for journals such as Robotica.

Prof. Yang Tang

IEEE Fellow, AAIA Fellow

National Distinguished Professor

East China University of Science and Technology, China

Dr. Yang Tang is now a Professor at Department of Automation, and the Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China. He was a Research Associate with the Hong Kong Polytechnic University, Hong Kong, from 2008 to 2010. From 2011 to 2015, he conducted his postdoctoral research with the Humboldt University of Berlin, Berlin, Germany, and the Potsdam Institute for Climate Impact Research, Potsdam, Germany. He is now a Professor with the East China University of Science and Technology, Shanghai, China. He has published over 100 refereed papers in international journals such as Nature Communications, Patterns (Cell Press), Automatica, IEEE Transactions, SIAM Journals and APS journals (including more than 20 papers in IEEE TAC and Automatica). His current research interests include multi-agent systems/complex networks, cyber-physical systems, artificial intelligence, autonomous systems, hybrid dynamical systems, and their applications. Dr. Tang was a recipient of the Alexander von Humboldt Fellowship in 2011 and he got the National Young Distinguished Professor and National Distinguished Professor of 2015 and 2020, respectively. He is a Senior Board Member of Scientific Reports, an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Systems Journal and Engineering Applications of Artificial Intelligence (IFAC Journal) and Science China Information Sciences, etc. He is also a Leading Guest Editor for several special issues in IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Cognitive and Developmental Systems, CHAOS, the Journal of the Franklin Institute. He is a Guest Editor for topics like industrial metaverse, large language models in IEEE Transactions on Neural Networks and Learning systems, IEEE Transactions on Cybernetics and Science China Information Sciences. He is a Vice Chair of Technical Committee on Big Data, Vice Chair of Technical Committee on Networked Intelligence, Chinese Association of Automation (CAA), a technical committee of Complex Systems and Complex Networks (CSIAM, China) and a member of Young Working Committee in Chinese Association of Automation. He is an IEEE Fellow and AAIA Fellow.