Ming-Ching Chang

Ming-Ching Chang

Faculty Fellow

Brief Bio

Dr. Ming-Ching Chang is founded by Defense Advanced Research Projects Agency (DARPA), US Department of Defense (DOD) under the Semantic Forensics (SemaFor) Program 2020-2024. He is funded by the Intelligence Advanced Research Projects Activity (IARPA) for developing data and algorithms for technical assessment of the Deep Intermodal Video Analytics (DIVA) program 2018-2019. He is funded by GE Global Research for multiple years in the Yard Locomotive Detection System Development program 2018-2020, and in the Develop Deep Learning Capability and Explanability program 2017. Prior to his role as an assistant professor of UAlbany-SUNY, he was a lead computer scientist at GE Global Research, where he is a Co-PI of the Multi-modality Portable Systems for Pressure Ulcer Prevention and Care program funded by Department of Veterans Affairs (VA), Innovation Initiative (VAi2) 2015-2016. He was a Co-I of the Social Interaction Analysis at a Distance program funded by DARPA 2013-2016. He was the Co-PI of multi-year programs Practitioner Centric Video Analytics and Advanced Behavior Recognition in Crowded Environments, both funded by the National Institute of Justice (NIJ), the Department of Justice (DoJ). Dr. Chang has rich experience in leveraging expertise from multiple domains to accomplish multi-discipline programs and projects, including (1) AI video analytics in smart city in collaboration with NVIDIA, and (2) scientific machine learning applied to physics and chemistry in collaboration with the Oak Ridge National Laboratory (ORNL) on neutron scattering. Dr. Chang 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 frequently serves the program chair, area chair, and referee of leading journals and conferences. He is the core organizer of the AI City Challenge, a multi-year IEEE Computer Vision and Pattern Recognition (CVPR) Workshop 2017-2022. He is the program chair of the IEEE Advanced Video and Signal-based Surveillance (AVSS) 2019 and TPC chair lead of the IEEE Multimedia Information Processing and Retrieval (MIPR) 2022 conferences. He is the Area Chair of IEEE ICIP (2017, 2019-2022) and an outstanding area chair of ICME (2021). He serves as the steering committee of the IEEE AVSS Conference since 2017. He has authored more than 100 peer-reviewed journal and conference publications, 7 US patents and 15 disclosures. He is a senior member of IEEE and member of ACM.