I am currently a PhD candidate in Computer Science at the University of Minnesota, Twin-Cities.
General Research Fields: Optimization, Spatial Computing, Machine Learning, Data Mining
Current Research: Optimization and machine learning in geospatial domain (e.g., space allocation, geospatial object detection)
Before joining the spatial computing group, I mainly worked on pattern recognition in remote sensing imagery and LiDAR point cloud. For example, I have published algorithms for crater detection on the lunar surface which potentially extends the currently largest lunar crater catalogue LU60645GT. During my internship at Esri (a spatial software leader), I worked on building footprint and tree canopy recognition using machine learning.
Besides research work, I was also involved in both grad-level and undergrad-level teaching. I have worked as the teaching assistant for both introductory and advanced courses on machine learning, spatial computing and database systems.