Connie Ko Email & Phone Number

An analytical, self-motivated, and team-oriented individual, with extensive teaching and research experience in the ever-changing realms of Remote Sensing and Geographic Information Systems.  More than 4 years’ experience teaching (3 courses), complemented by more than 17 years of research experience with GIS and remote sensing techniques (machine learning, computer vision, advanced data computation, 3D web mapping of geo-spatial data). Experience with running and modifying off-the-shelf deep learning detection networks such as 2D Detectors: MaskRCNN, YOLO, 3D Detectors: Pointnet, PointRCNN, PV-RCNN, PyramidRCNN, PointPillars, PVRCNN++  Experience in developing benchmark data creation pipeline, training annotators  Advanced working knowledge and familiarity with GIS-related software (ESRI ArcGIS desktop, ArcGIS Online, QGIS, MapInfo, OpenStreetMap, Google Maps, assist in developing GIS curriculum). Strong technical aptitudes and experience with remote sensing software (PCI Geomatica, LAStools, CloudCompare, Reigl). Proficient in R, MATLAB, Python, Java Script, and API programming.Selected Research Projects Deep learning with LiDAR dataset for tree detection (object detection) with multi-modal LiDAR (Dr. Gunho Sohn, 3DMMAI) 2018 - present.  Benchmark dataset creation with LiDAR dataset for object detection and segmentation tasks (Dr. Gunho Sohn, 3DMMAI) 2018 - present.  3D modeling of virtual twin for York University Campus (Dr. Gunho Sohn, ISSUM) 2019 – present. https://koonye.wordpress.com/

Listed skills include Gis, Lidar, Remote Sensing, Geography, and 4 others.