Reem's CV
Reem AlAli
GEOSPATIAL LEADER | GIS & REMOTE SENSING STRATEGY | AI-DRIVEN EARTH OBSERVATION
• Object Detection & Image Classification • Disaster Risk Analysis & Response
Profile summary
Public CV for Reem AlAli.
Key skills
SkillsArcGIS Excellent QGIS Excellent Google Earth Engine (GEE) Excellent ENVI Excellent SNAP Excellent Python Excellent AutoCAD Excellent
Professional experience
Head of Data Analytics - Geospatial Solutions SpecialistJan 2021 - Present
Mohammed Bin Rashid Space Centre Lab / DubaiUAEProgram leadership: Direct GIS projects end-to-end, from planning and data acquisition through analysis, modelling, and stakeholder-facing visualization, cross 20+ concurrent government and infrastructure initiatives.
- AI-driven analytics innovation: Design and deploy AI algorithms for object/asset detection, image classification, and segmentation across GIS workflows, improving analysis turnaround significantly versus manual interpretation.
- Domain breadth: Lead advanced geospatial analysis spanning Land/Sea Surface Temperature, GHG emissions, Land Cover / Land Use, urban planning, vegetation and water body monitoring, change detection, infrastructure planning, smart cities, and digital twin initiatives.
- Multi-sensor data strategy: Deal with the full data pipeline, multispectral and SAR satellite imagery, drone, aerial, and DEM sources, including data mining, cleaning, and warehousing to support high-stakes, defensible decision-making.
- Crisis and risk response: Lead post-disaster geospatial analysis for floods, earthquakes, and fires, delivering rapid-turnaround assessments that inform national emergency response planning.
- Research leadership: Direct technical research initiatives spanning GIS and remote sensing, translating applied research into production-ready analytical workflows.
Education
M.S., Artificial IntelligenceJan 2026
Ajman University, Ajman, UAE | GPA: 3.5B.S., Electrical Engineering (Communications)Jan 2021
University of Dubai, Dubai, UAE | GPA: 3.85