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Ming-Ching Chang, Ph.D. [CV] [Google Scholar] [DBLP]
Ming-Ching Chang
Assistant Professor, Department of Electrical and Computer Science
College of Engineering and Applied Sciences
University at Albany, State University of New York
Phone: (518) 442-5085
Email: mchang2 AT albany DOT edu
Office: LI-090A, 1400 Western Avenue, Albany, NY 12222, USA
Lab: UA CVML lab

Biography:

Ming-Ching Chang is an Assistant Professor at the Department of Computer Science, College of Engineering and Applied Sciences, University at Albany, State University of New York. He was with the Department of Electrical and Computer Engineering from 2016 to 2018. He was an Adjunct Professor with the Computer Science Department from 2012-2016. During 2008-2016, he was a Computer Scientist at GE Global Research Center. He was an Assistant Researcher at the Mechanical Industry Research Labs, Industrial Technology Research Instutite (ITRI) at Taiwan from 1996 to 1998.

Dr. Chang received his Ph.D. degree in the Laboratory for Engineering Man/Machine Systems (LEMS), School of Engineering, Brown University in 2008. He received his M.S. degree in Computer Science and Information Engineering (CSIE) in 1998 and B.S. degree in Civil Engineering in 1996, both from National Taiwan University, Taiwan.

Dr. Chang’s research interests include video analytics, computer vision, image processing, and artificial intelligence. Dr. Chang has published over 70 refereed journal and conference papers. Dr. Chang’s research projects are funded by DARPA, IARPA, NIJ, VA, GE Global Research, Kitware Inc., and University at Albany - SUNY. He is the recipient of the IEEE Advanced Video and Signal-based Surveillance (AVSS) 2011 Best Paper Award - Runner-Up, the IEEE Workshop on the Applications of Computer Vision (WACV) 2012 Best Student Paper Award, the GE Belief - Stay Lean and Go Fast Management Award in 2015, and the IEEE Smart World NVIDIA AI City Challenge 2017 Honorary Mention Award.

Dr. Chang serves as the Program Chair of the IEEE Advanced Video and Signal-based Surveillance (AVSS) 2019, Co-Chair of the AI City Challenge CVPR Workshop for 2018-2020 and on-going, Organization Committee of the Low Power Computer Vision CVPR Workshop and Challenge for 2020, the Publication and Associate Chair of the IEEE Advanced Video and Signal-based Surveillance (AVSS) 2017, and Co-Chair of the International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S) 2017 and 2018. Dr. Chang is a senior member of IEEE.

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