Academic Profile : Faculty

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Assoc Prof Cheah Chien Chern
Associate Professor, School of Electrical & Electronic Engineering
Chien Chern CHEAH was born in Singapore. He received B.E. degree in Electrical Engineering from National University of Singapore in 1990, M.E. and Ph.D. degrees in Electrical Engineering, both from Nanyang Technological University, Singapore, in 1993 and 1996, respectively.
From 1990 to 1991, he worked as a design engineer in Chartered Electronics Industries, Singapore . He was a research fellow in the Department of Robotics, Ritsumeikan University , Japan from 1996 to 1998. He joined the School of Electrical and Electronic Engineering, Nanyang Technological University as an assistant professor in 1998.He is currently an associate professor in Nanyang Technological University. In November 2002, he received the oversea attachment fellowship from the Agency for Science, Technology and Research (A*STAR), Singapore to visit the Nonlinear Systems laboratory, Massachusetts Institute of Technology.
His research interests include robot control, adaptive and learning systems, micro-manipulation, human-robot interaction, multi-robot systems. He has been invited to contribute articles in robot control to the Springer Encyclopaedia of Robotics, Encyclopaedia of Systems and Control, Handbook of Manufacturing Engineering and Technology and he received several best paper awards for his research in this field.

He serves as an associate editor for Automatica. He has served as an associate editor for IEEE Transactions on Robotics from 2010 to 2013 and Asian Journal of Control from 2009 to 2013. He was the Lead Guest Editor for IEEE Transactions on Mechatronics in 2021. He served as a member of the Conference Editorial Board of the IEEE Robotics and Automation Society. He served as the award co-chair of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019. He was the program co-chair of the IEEE Conference on Robotics and Automation (ICRA) 2017, program chair of the International Conference on Control, Automation, Robotics and Vision (ICARCV) in 2012 and 2006.
Robot control
Cell manipulation
Formation control
Adaptive and learning control
 
  • Development of Three Key Sub-Systems for Automated Quay Crane
  • Vision based Robotic Manipulation of Soft Objects based on Convolutional Neural Networks