Professor
Executive Director, Data Science and Analytics Innovation Center (dSAIC)
Science and Engineering
Contact Info
816-235-1641
257B Flarsheim Hall
Data science, multimedia big data, disaster information management, AI/Machine Learning, AR/VR
About
Dr. Shu-Ching Chen is the inaugural Executive Director of Data Science and Analytics Innovation Center (dSAIC). dSAIC is a multi-university center and based at the University of Missouri-Kansas City (UMKC). He provides the expertise and leadership to ensure the Center’s overarching aspiration to become Missouri’s hub for innovative research and expertise in data science, analytics, data protection (cybersecurity), artificial intelligence, and machine learning solving critical societal problems, being a state-of-the-art resource for industry and the UM universities, producing a skilled workforce to meet growing industry demands and spurring economic development becomes a reality.
Dr. Chen has received many research grants from NSF, National Oceanic and Atmospheric Administration (NOAA), Department of Homeland Security (DHS), National Institute of Health (NIH), Department of Energy (DOE), Army Research Office (ARO), Naval Research Laboratory (NRL), Environmental Protection Agency (EPA), Florida Office of Insurance Regulation, Florida Department of Transportation, IBM, and Microsoft.
Dr. Chen was named a 2011 recipient of the ACM Distinguished Scientist Award. He received the best paper awards from 2006 IEEE International Symposium on Multimedia and 2016 IEEE International Conference on Information Reuse and Integration. He also received the best student paper award from 2022 IEEE International Conference on Multimedia Information Processing and Retrieval. He received the 2019 Service Award from IEEE Computer Society’s Technical Committee on Multimedia Computing. He was awarded the IEEE Systems, Man, and Cybernetics (SMC) Society's Outstanding Contribution Award in 2005 and was the co-recipient of the IEEE Most Active SMC Technical Committee Award in 2006. He is a fellow of IEEE, AAAS, AAIA, and SIRI.
