Jianbo SU receives a best Associate Editor of the SMC Transactions Award

Dr. Jianbo Su is Professor in the Department of Automation, Shanghai Jiao Tong University. He was born in Nov., 1969 and received the B. S. degree in control theory and control engineering from Shanghai Jiao Tong University, Shanghai, China in 1989, the M.S. degree in Pattern Recognition and Intelligent System from Institute of Automation, Chinese Academy of Sciences, Beijing, China in 1992, and Ph.D in control theory and control engineering from Southeast University, Nanjing, China in 1995. From 1995-1997, he was a postdoctoral research fellow in robotics in the Chinese Academy of Sciences.

Since Sept. 1997, he has been a faculty member in the Department of Automation, Shanghai Jiao Tong University. He was promoted to be a full professor in Dec. 2000, and served as the department chair during 2001.7-2004.10. He has been a senior member of IEEE since 2004, a member of IEEE Technical Committee on Networked Robot and IEEE Technical Committee on Human-Computer Interaction, and served as an associate editor of IEEE Transaction on Cybernetics since 2005. He served as a General Chair for IEEE International Conference on Machine Learning and Cybernetics in 2004, the Local Arrangement Chair for IEEE International Conference on Robotics and Automation in 2010, and a General Chair for the 10th International Conference on Intelligent Environment in 2014.

He received Best ShuGuang Scholar Award from Shanghai Municipal Government in 2005, the New Century Excellent Talents Award from the Ministry of Education of China in 2006.

Dr. Su’s research interests include sensor-based robotics, multi-sensor data fusion, Internet robotics, and pattern recognition. He focuses on the Active Disturbance Rejection Control (ADRC) as well as Disturbance Observer (DOB) schemes for uncalibrated robotic visual servoing. He also proposes user intention modelling strategy for telepresent robot control as well as human-robot interactions. Besides, he presents and constructs the Representation Space to explore the task realizability for a robot system, based on which the transferring conditions of an unrealizable task to a realizable one could thus be investigated. The optimal configuration of a robot system for a specific task could be figured out with sensory and action agents constructed. In these areas, Dr. Su has published more than 200 technical papers and 3 books, and applied for more than 20 patents.