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Research Interests

Our research is characterized by an interdisciplinary perspective on geographic information science driven by the advances of artificial intelligence, machine learning, earth observations (e.g., remote sensing and social sensing) and computational science. We are particularly interested in developing advanced quantitative methods (i.e., AI, statistical and computational methods) and software tools to model and communicate the complex spatiotemporal patterns buried in the sea of messy geospatial data to support uncertainty-aware knowledge discovery and decision making. We work closely with domain scientists to tackle the challenges in environmental sciences, climate science, environmental health, public health and social sciences. See below for the current and completed projects.

Current Projects

Finished Projects