I am a practitioner of using the latest technologies such as machine learning and high- performance computing to seek answers to Earth scientific questions. He has invented RSSI, a novel index for recognizing artificial objects from high resolution aerial images, and proposed parameterless automatic classification solution for reducing the parameter-tuning burden on scientists. He has successfully used long short-term memory to learn the seasonal changes to better recognize crops from remote sensing images. He has a lot of experiences on building web-based geospatial information systems for better disseminating, processing, visualizing, and understanding spatial big data.
■ Collaborative Research: GI Catalytick Track: Cyberinfrastructure for Intelligent High-Resolution Snow Cover Inference from Cubesat Imagery, National Science Foundation