Hi, I'm Abdullah-Al-Faisal, a GIS, Remote Sensing and Environmental Sciences Enthusiastic

My career goal is to contribute to global environmental sustainability and crisis-resiliency by using a combination of modern observational technologies and machine learning algorithms. My research interests span across geographic information systems (GIS), remote sensing, environmental sciences, human-Earth systems, topographic 3D data analysis, computer science, geospatial data science, machine learning, data management, geomatics, and climate change. I intend to tackle the global challenges of material and energy dynamics within the human-Earth system. I am driven to contribute to the advancement of spatial analysis, data interpretation, and decision-making within these domains utilizing my technical skills. 

I hold a Master of Science (MSc) in Applied Geographical Information Systems and Remote Sensing from the University of Southampton, where I was awarded the Commonwealth Shared Scholarship for the 2021/22 academic year. I graduated with a grade of 74% with Distinction, positioning myself within the top 3 of my cohort. Additionally, I hold a bachelor’s degree in Urban and Regional Planning from the Rajshahi University of Engineering and Technology in Bangladesh.

My work experience is diverse and includes positions such as Teaching and Research Assistant at McGill University, where I assisted two courses titled Natural Disasters and Environmental Geology (human-Earth System). I am also working on the Surface Earth System Analysis and Modeling Environment (SESAME) project to generate complex human-Earth system datasets using jurisdictional data, remote sensing, and machine learning algorithms. In my role as GIS Specialist at the Operational Centre Amsterdam (OCA) at Médecins Sans Frontières (MSF)/Doctors Without Borders in Bangladesh, I carried out a water and sanitation (WatSan) project based on the Rohingya Refugee Community, using GIS and remote sensing support. I led a GIS Data Collection Team of more than 20 refugees and managed water network planning and the O&A for rapid service planning and action in a humanitarian context.