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Yiyang Chen is an Associate Professor at the School of Mechanical and
Electrical Engineering, Soochow University. He has been recognized as
a Jiangsu Province Entrepreneurship Doctor, a Suzhou High-tech Zone
Entrepreneurship Leading Talent, and an Outstanding Young Scholar at
Soochow University. His research and application work primarily focus
on iterative learning control, optimization, multi-agent systems, fault
diagnosis, image segmentation, etc. As the principal investigator, he has
led over 10 projects, including the National Natural Science Foundation
Youth Project and the Jiangsu Provincial Natural Science Foundation Youth
Yiyang Chen Project. He has published over 100 SCI papers, with nearly 2,000 citations
on Google Scholar, an H-index of 23, and holds eight authorized national
patents. He is currently a member of IEEE, the Chinese Association of
Automation, and the Chinese Association for Artificial Intelligence, and a
committee member of the Technical Committee on Data Driven Control,
Learning and Optimization.

Jin Zhang is a Professor at the School of Mechanical and Electrical
Engineering and Automation, Shanghai University. His research
primarily focuses on time-delay systems, robust control, networked
control, and their applications. He has led or participated in eight
research projects funded by organizations such as the National
Natural Science Foundation, the Israel Science Foundation, and the
Israel Higher Education Council Scientific Research Program. He
has published over 30 papers in prominent academic journals both
domestically and internationally, including seven papers in Automatica
Jin Zhang and IEEE Transactions on Automatic Control, the leading journals in
control theory.

Chun Liu is an Associate Professor at the School of Mechanical and
Electrical Engineering and Automation, Shanghai University. His
research focuses on coordination and fault-tolerant control, with
an emphasis on its applications in multi-agent systems. His work
explores cluster distributed coordination, fault diagnosis and fault-
tolerant control, cluster cooperation and game confrontation, and
their applications in unmanned system clusters. He received the 2021
Outstanding Doctoral Dissertation Award from the Chinese Association
of Automation and was selected for the Shanghai Sailing Program
Talent Project. He led projects such as the National Natural Science
Chun Liu Foundation of China (NSFC) Youth Fund, the Shanghai Youth Talent
Start-up Program, and the China Ship Research and Design Center
Fund. Additionally, he has participated in key initiatives including
the NSFC Key Project, the National Key R&D Program, and the
Science and Technology Innovation 2030 - “New Generation Artificial
Intelligence” Major Project. To date, he has published over 60 scientific
research papers, including 19 papers in IEEE Transactions, and holds
more than 30 authorized or registered intellectual property rights.