Abdullah Al Faisal
Department of Earth and Planetary Sciences, McGill University
Montreal, Canada
Member ID 3428
Member since Nov 28, 2022
Status Active


I am a PhD student of Earth and Planetary Sciences at McGill University. My project combines machine learning with remote sensing data and jurisdictional statistics to infer spatial aspects of the human system.


I, Abdullah-Al- Faisal, am a young Research Enthusiastic with a focus on geographic information systems (GIS), artificial Intelligence, computer science, machine learning, atmospheric research, climate change, hazard vulnerability, earth and planetary science, human-earth system sciences and remote sensing (RS).

I recieved a Commonwealth Shared Scholarship to study MSc in Applied Geographical Information Systems and Remote Sensing at the University of Southampton, United Kingdom. I learned core skills in GIS, programming skills in remote sensing (ENVI-IDL), Geostatistical analysis (R), GIS for environmental management, programming for GIS and spatial analyses (python), topographic data analysis techniques & applications (aerial and terrestrial LiDAR, Laser, drone-based multi-view photogrammetry) and so on.

I have almost 2.5 years of professional working experience in two renowned organizations, such as the Center for Environmental and Geographic Information Services (CEGIS), as a Research Consultant, and the world's best international medical humanitarian organization named Médecins Sans Frontières (MSF)/Doctors Without Borders, as a GIS Specialist under GIS Centre. My core responsibilities were disaster risk reduction, multi-criteria analysis (MCA), primary data collection, analyzing camp's WASH infrastructures to find out stressed zones, and displaying them on operational dashboards.

I am also a Founder of a Research Group named Dynamic Institute of Geospatial Observation Network (DIGON). Most of the research activities of mine are aligned with the impacts of changes in land use/land cover on the ecosystem, air pollution, population mapping, thermal environment, climate change using satellite images, geospatial, remote natural environments, and remote sensing techniques.

Research Interests

Material Stocks, Material Flow, Building Eenergy, Earth System Dynamics, Machine Learning, Climate Change, Remote Sensing
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