Dr. Di Zhu

The Geospatial Data Intelligence (GeoDI) Lab aims at generating both theoretical and actionable insights from spatiotemporal data by exploring the frontiers that bridge geospatial analytics, artificial intelligence, and social sensing. The researchers use integrated thinking and cross-disciplinary methods to facilitate Intelligent Spatial Understanding and Geographic Knowledge Discovery, focusing on the human-environment complexities within socioeconomic sustainability, population dynamics, transport network, business, and public health. 

Current projects include:

• Using graph convolutional neural networks to detect geospatial community structures within cities based on human mobility data
• Super-resolution mapping of multiple socioeconomic features based on deep generative models
• Deep spatial interpolation methods for both distributional data and flow data