Kyungmin Lee
Ph.D. in Energy and Environmental Policy
Ph.D. in Energy and Environmental Policy
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. I earned a Ph.D. in Energy and Environmental Policy from the Joseph R. Biden, Jr. School of Public Policy and Administration, University of Delaware.
In Fall 2026, I will join Adelphi University as an Assistant Professor and Sustainability Director in the Department of Environmental Studies and Sciences, College of Arts and Sciences.
Research Areas
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