Prof. Zhen Kan

University of Science and Technology of China, China

Experience: Zhen Kan received his Ph.D. degree in 2011 from the Department of Mechanical and Aerospace Engineering at the University of Florida. After completing his doctoral studies, he worked as a postdoctoral research fellow with the Air Force Research Laboratory (AFRL) at Eglin AFB and University of Florida REEF from 2012 to 2016, and then worked as an Assistant Professor in the Department of Mechanical Engineering at the University of Iowa. In 2019, he joined the Department of Automation at the University of Science and Technology of China. His current research interests include control of networked complex systems, Lyapunov-based nonlinear control, robotics, and formal methods. He currently serves on program committees of several internationally recognized scientific and engineering conferences and is an Associate Editor of IEEE Transactions on Automatic Control and IEEE Transactions on Neural Networks and Learning Systems.  

Prof. Wenjie Chen

Anhui University, China

Experience: Wenjie Chen is a professor and doctoral advisor at Anhui University, a Senior Member of the IEEE, and the Executive Deputy Director of the Anhui Provincial Engineering Laboratory for Human-Machine Convergence Systems and Intelligent Equipment. He is a former Senior Research Fellow at the Agency for Science, Technology and Research (ASTAR) in Singapore. With over 30 years of experience in the research, design, and development of industrial automation equipment, his primary research interests include: dexterous grasping by intelligent robots, collaborative and convergent operations between power-assisted exoskeletons and robots, and precision mechanisms and micro-assembly systems for chip manufacturing. Currently, he is leading a team to address national strategic needs, focusing on cutting-edge research in embodied intelligence that integrates mechanisms, actuation, perception, control, and decision-making. With deep expertise in intelligent manufacturing and robotics, he has established four distinctive research directions, all of which have achieved technological innovation and industrial implementation: First, dexterous grasping and flexible assembly for intelligent robots, where he has proposed original methods such as the principle of parallel adaptation and developed core equipment including single-drive adaptive manipulators and variable-stiffness grippers; Second, collaborative robot co-operative manipulation, focusing on key technologies in robot perception, force control, and collaborative operations, and developing core components such as full-range grip force sensors; third, assistive exoskeletons and rehabilitation robots, proposing a human-energy-utilizing exoskeleton design method and developing a series of products including passive energy-storage elbow exoskeletons and passive gravity-self-balancing lower-limb exoskeletons; Fourth, precision mechanisms and micro-assembly systems for chip manufacturing, proposing innovative technologies such as force-loop decoupled nanoimprint alignment design and structural configuration transformation, and overcoming challenges in precision assembly stiffness control and error compensation, with the results applied to high-end chip packaging scenarios. He spearheaded the establishment of a research team focused on intelligent robotic grasping and manipulation. As the lead researcher, he received major awards including the Gold Medal at the Geneva International Exhibition of Inventions and the Huangshan Friendship Award of Anhui Province. The value of his patented achievements exceeds 12.98 million yuan, and they have been successfully commercialized. His research has been featured in special reports by the *Anhui Daily* and the *China Education Daily*. As of 2026, he has published over 140 high-impact academic papers and obtained more than 40 authorized invention patents.