Dr. Connie Ko is an Adjunct Faculty Member, GIS / Remote Sensing Technician at the Department of Geography and Research Associate at the Department of Earth and Space and Engineering at York University. Her research focuses on deep learning with augmented LiDAR dataset for tree species classification with multi-modal LiDAR.
Projects:
Previously, Dr. Ko has been part of various research projects. Currently, She is part of Intelligent Systems for Sustainable Urban Mobility (ISSUM) funded by the Ontario Research Fund, York University, University of Waterloo, and private sector partners (Esri Canada, Fugro Roadware, Miovision, Mircom, Teledyne Optech, Exascale Solutions, Trans-Plan) and 3D Mobile Mapping Artificial Intelligence (3DMMAI) project, which is supported by the NSERC (Natural Sciences and Engineering Research Council of Canada) Collaborative Research Development (CRD) program and Teledyne Optech in Toronto. [Details]
Publications:
Ko, C., Kang, J., and G. Sohn. 2018. Deep Multi-task learning for tree genera classification. ISPRS Technical Commission II Symposium 2018 “Towards Photogrammetry 2020”, June 3-7, Riva del Garda, Italy.
Massam, B.H., R.S. Espinoza and C. Ko, 2018. Conversations with Old Men: Puerto Vallarta, Mexico. Swn-y-Mor Press. ISBN 978-1-7750803-0-5.
Ko, C., and T.K. Remmel. 2017. Airborne LiDAR applications in forest landscapes. pp. 147-185. In Remmel, T.K., and A.H. Perera (eds.). Mapping forest landscape patterns. New York: Springer. 326 p.
Ko, C., Sohn, G., Remmel, T.K., and Miller, J., 2016. Maximizing the diversity of ensemble Random Forests for tree genera classification using high-density LiDAR data. Remote Sensing 8(8):646.
Ko, C., Sohn, G., Remmel, T.K., and Miller, J., 2014. Hybrid ensemble classification of tree genera using airborne LiDAR data. Remote Sensing. 6:11225–11243.
Education:
Doctorate of Philosophy (Ph.D.), Earth and Space Sciences, York University, Canada
Master of Sciences (MS), Geography, York University, Canada
Bachelor of Science (BS), Geography & Environmental Science. GIS and Remote Sensing Certificate, York University Canada
2008 – 2014
2001 – 2004
1997- 2001
Experience:
Research:
Research Associate, GeoICT/ AUSMLab, York University Canada
Jan, 2015 – Present
Teaching:
Adjunct Faculty Member at Department of Geography, York University, Canada
Course Director (GEOG3330: Geoinformatics, GIS 1) at Department of Geography, York University, Canada
Course Director (GEOG3440: Geoinformatics, Remote Sensing 1) at Department of Geography, York University, Canada
Course Director (MTA001: Mathematics 1) at Faculty of Applied Science and Engineering, Seneca College, Canada
July, 2019 – Present
Sep, 2016 – Dec, 2016
Sep, 2015 -Dec, 2015
Sep, 2014 – Dec, 2014
Professional:
GIS & Remote Sensing Technician at Department of Geography, York University, Canada
Jan, 2003- Present