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Ming-Ching Chang, Ph.D. [CV] [Google Scholar] [DBLP]
Ming-Ching Chang
Assistant Professor, Department of Electrical and Computer Engineering
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 currently an Assistant Professor at the Department of Electrical and Computer Engineering, College of Engineering and Applied Sciences, University at Albany, State University of New York. He was an Adjunct Professor at the Department of Computer Science from 2012 to 2016. He is a tenure-track Assistant Professor at the Department of Electrical and Computer Engineering since 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 50 refereed journal and conference papers. Dr. Chang’s research projects are funded by GE Global Research, DARPA, NIJ, VA, 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 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). Dr. Chang is a member of IEEE.

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