Department of Data Science and Engineering


Data-Driven Robotics


(GeoAI) Geospatial Artificial Intelligence

Geospatial Artificial Intelligence (GeoAI) research group combines innovations in spatial science, AI methods in machine learning, data mining, optimization, and high-performance computing to extract knowledge from spatial big data. Research focus (not limited to):

  • Geospatial Machine Learning (ML)
  • Feature Extraction Through Deep Learning (DL) From Lidar Point Clouds
  • Information Extraction From Fused or Individual satellite/UAV/street images
  • 3D Geoinformation Science
  • Simulation of Disaster Scenarios
  • Location Optimization of Facilities
  • Social Media Analytics for Infrastructure Planning

For more details visit HomePage