Research Interests
My research interests include but not limited to spatial data analysis, LiDAR point cloud data processing, 3D modeling, and machine learning applications in solving geospatial issues. For instance, using deep learning algorithms to automate the process of mapping building footprints; remote sensing application in environmental monitoring that support decision-making in natural resource management (e.g., tree-line monitoring, forest degradation detection, permafrost change detection).
My MSc thesis research focuses on: Development of AI-based approaches to automated generation of 3D urban models and HD maps using LiDAR point clouds combined with earth observation images to support the development of digital twin cities and autonomous vehicles.
Education
BES in Geomatics Co-op (Honours) with Computing Minor and Diploma of Excellence in GIS University of Waterloo, 2018-2022
Recent Submission
Hu, K., Mahboubi, M., Chen, Y., Fatholahi, S. Indirect Detection of Permafrost Degradation in Eastern Alaska using MODIS and Landsat Data, accepted for presentation at the XXVII FIG Congress 2022, 11-15 September 2022 in Warsaw, Poland.