Role: Geospatial Developer
Project: An automated riverine flood forecasting system for Afghanistan's major rivers,
providing daily updates on flood risk to people and buildings at the basin and district levels.
Technologies: Python, GLOFAS, PostgreSQL, GeoServer
Key Contributions: Developed and implemented the methodology, liaised with the
Copernicus GLOFAS team for data access and method validation.
Resources: GitHub Repository
Role: Geospatial Developer
Project: An automated system for estimating the impact of earthquakes on people and
buildings, utilizing the USGS earthquake API and zonal statistics for real-time data and analysis.
Technologies: Python, USGS, PostgreSQL, GeoServer
Key Contributions: Led the development and implementation of the methodology and
geospatial analysis pipeline.
Role: Project Manager and Remote Sensing Specialist
Project: A web application for satellite-based monitoring of environmental drivers of
food insecurity including crop phenology, drought indicators, water extents, and precipitation in
agricultural areas. The application covers all agricultural areas in Syria and provides 10 meter
resolution, monthly updates of environmental drivers.
Technologies: Google Earth Engine, Machine Learning, Time-Series Analysis, Remote
Sensing
Key Contributions: Managed the project and led the implementation of methods and
geospatial analysis pipelines, thus providing timely data updates for the food security working group in
Syria to make informed decisions for aid provision.
Resources: Project
Website | GitHub Repository
Role: Project Manager and Remote Sensing Specialist, 2022
Project: An automated analysis pipeline to estimate water levels in the Assad and
Tishrin reservoirs in North East Syria using satellite data. The systems provides weekly updates of
water levels to humanitarian organizations in Syria to better address water scarcity challenges.
Technologies: Google Earth Engine, Linear Regression
Key Contributions: Managed the project, supervised method development and
implementation
Resources: GitHub Repository
Role: Remote Sensing Specialist
Project: A 10m resolution monthly surface water mapping pipeline covering Yemen using a
supervised image classifier. The maps were provided for the University of Maryland's cholera forecasting
model.
Technologies: Google Earth Engine, Machine Learning
Key Contributions: Developed and implemented the method
Resources: GitHub Repository
Role: Remote Sensing Specialist
Project: A HEC-RAS flood model for Al-Hudaydah, Yemen, to estimate flood impact and
identify IDP sites at risk.
Technologies: Google Earth Engine, HEC-RAS Modeling
Key Contributions: Developed the land cover dataset for model optimization
Resources: ReliefWeb Map
Role: Remote Sensing Specialist
Project: A web app for monitoring economic activity through satellite-observed night
light changes, allowing users to compare and extract time-series data.
Technologies: Google Earth Engine, Remote Sensing
Key Contributions: Developed the analysis pipeline and application.
Resources: Web App
Role: GIS Developer
Project: A multi-criteria analysis tool for ArcGIS to improve energy efficiency in
urban planning, simplifying analysis process for urban developers.
Technologies: Python, ArcGIS, Multi-Criteria Analysis
Key Contributions: Developed the tool.
Resources: GitHub Repository
Role: Geospatial Surveyor
Project: A 3D digital twin of public buildings in Brøndby Municipality, Denmark, to
improve facility management. The 3D representations were based on point cloud data collected through
Leica laser scanners.
Technologies: Leica Geosystems Laser Scanners, GNSS/GPS.
Key Contributions: Planned and executed data collection campaigns and operated laser
scanning equipment.
Role: WebGIS Developer
Project: Establishing WebGIS platforms for environmental assessment projects to provide
data overviews and facilitate stakeholder coordination.
Technologies: KortInfo, WebGIS, FME.
Key Contributions: Developed and managed the WebGIS platforms.
Role: GIS Specialist.
Project: Updating geospatial infrastructure data and producing orthophotos for all
major cities in Greenland.
Technologies: KortInfo, WebGIS, FME.
Key Contributions: Coordinated with suppliers and end-users, ensured quality of
orthophotos and vector layers.
Role: Technical Advisor and Business Developer.
Project: Initiating and securing funding for multiple information management
initiatives in
Malawi, including projects for the UNRCO and the development of a spatial data infrastructure for
UNICEF.
Key Contributions: Identified and addressed information management gaps at UN agencies
in Malawi.