The research aims to tackle issues in earth science and geography, including applications like natural hazard mapping and prediction, situational awareness, damage impact assessment, evacuation behavior analytics, crop mapping and yield prediction, among others.
Research Experience
Research areas cover Spatial Computing and Optimization, Spatial Big Data Analytics, and using Spatial Data Science, AI/ML, and Big Data to address diverse environmental and social problems.
Background
Research interests lie in bridging the gap between Computer and Information Science (CIScience) and Geographic Information Science (GIScience) by generating new computational algorithms and methods to solve computing challenges and big spatial data analysis with applications in earth science and geography, such as natural hazards, human mobility, and digital agriculture.