Transactions on Intelligent Welding Manufacturing / Transactions on Intelligent Welding Manufacturing (PDF)

Dr. Shanben Chen (SB Chen) received his BS degree in industrial automation from Dalian Railway Institute (Dalian Jiao Tong University) in 1982, and received his MS and PhD in control theory and application from Harbin Institute of Technology, China, in 1987 and 1991, respectively. He worked as a postdoctoral fellow at the National Key Laboratory of Advanced Welding Production of China in Harbin Institute of Technology (HIT) from 1993 to 1995, and as a professor from 1995 to 2000. 

From 2000 to present, he has served as the Special Professor, Cheung Kong Scholar Program of the Ministry of Education of China & Li Ka Shing Foundation, Hong Kong, and engaged at Shanghai Jiao Tong University, China, where he is also director of the Intelligentized Robotic Welding Technology Laboratory. Prof. Chen has also been a visiting professor at the University of Western Sydney (UWS) in connection with the ARC Linkage collaboration since 2009. 

Currently, Prof. Chen is a senior member ofthe IEEE; a member of the American Welding Society; Chair of the Robotics & Automation Committee of the Chinese Welding Society (CWS); Deputy Secretary-General of the Chinese Welding Society; and a standing member of the Board of Directors, CWS.



YuMing Zhang - FAWS, FASME, FSME, SIEEE, Professor and James Boyd Professor in Electrical Engineering - has been with the University of Kentucky, Lexington, USA since 1991, and became a Full Professor in 2005. He received his BS and MS degrees in control theory and application from Harbin Institute of Technology (HIT), China, where he completed his PhD degree in welding in 1990. He has published 180 peer-reviewed journal papers and holds 8 US patents. 

Dr. Zhili Feng leads the Materials Joining Team, and is a Distinguished R&D Staff at Oak Ridge National Laboratory, where he manages 10 scientists and supporting staff, conducting both fundamental and applied R&D and pursuing technological innovations for diverse