معرفی
Connie Ko is Adjunct Professor in the Faculty of Environmental and Urban Change at York University, where she serves as GIS/Remote Sensing Technician and Research Associate. Her research focuses on advancing LiDAR data processing techniques and developing AI applications for 3D object detection in environmental contexts.
Education credentials:
- PhD in Earth and Space Science & Engineering (York University, 2014)
- MSc in Geography (York University, 2004)
- Bachelor in Environmental Science (York University, 2001)
Research specializes in:
- AI-driven LiDAR analysis for environmental mapping
- 3D object detection methodologies
- Tree genus classification using geometric features
- Large-scale dataset creation for machine learning
Publications demonstrate consistent focus on LiDAR applications (80% of works), particularly in forestry and hydrological contexts. Recent shift toward AI integration evident since 2018. Authored foundational datasets like YUTO Tree5000 and Yuto Semantic to support geospatial AI development.
Teaches GIS/Remote Sensing techniques and mentors students in spatial analysis. Transformed GIS computer lab into collaborative learning hub supporting interdisciplinary environmental research.
