Hello! I am Kyungmin Lee, a research fellow in the Department of Public Health Sciences at the University of Connecticut. I hold a Ph.D. in Energy and Environmental Policy from the Joseph R. Biden, Jr. School of Public Policy and Administration, University of Delaware. I have conducted research at the Urban Observatory under the guidance of Dr. Gregory Dobler at the Biden School of Public Policy and Administration, the Department of Physics and Astronomy, and the Data Science Institute.
My research focuses on energy policy, climate policy, urban sustainability, community development, and spatiotemporal data analysis using AI technologies. My main areas of expertise are computer vision and machine learning, particularly in the semantic scene understanding of remote sensing imagery. I am interested in exploring how AI can be used for data-driven policy development in the environmental field.
Research Approaches
Computational Social Science
Data Science for Social Good
Machine Learning for Public Policy
Remote Sensing & AI (Deep Learning, Machine Learning, Computer Vision)
Mixed methods (Quantitative & Qualitative Analysis)
Energy-end User Behavior Pattern from Images/Video
Urban Energy Policy
Renewable Energy Policy
Global Climate / Carbon Neutrality Policy
Urban Heat Island Effect
Flood Risk
Air Quality
Data Privacy Preservation Model
Value Sharing Mechanism