My research is characterized by an interdisciplinary perspective on geographic information science driven by advances of spatial Big Data (e.g., social media and remote sensing), machine learning/artificial intelligence, and computational sciences. I am interested in deep learning of heterogeneous geographic information to support uncertainty-aware geographic knowledge discovery and decision making. I am interested in innovative geospatial applications in different domain fields, particularly in natural hazards, environmental sciences, public health and global changes.
keywords
Machine learning of spatial data, big data, uncertainty of spatial data, geostatistics/spatial statistics, social media, environmental/public health, natural hazards, climate/environment changes
