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Mina Narmar

GIS Data Engineer | Remote Sensing · Geospatial Machine Learning
PhD Candidate in Environmental Science
mina.a.narmar@gmail.com +37062703546 Vilnius, Lithuania
linkedin-mina minanarmar.com

Profile

Geospatial data engineer with 5+ years of experience and a PhD candidate in environmental science. At work I build web mapping applications with React, OpenLayers and Leaflet, publish data through GeoServer and MapServer, and design PostgreSQL/PostGIS databases. My doctoral research uses machine learning to forecast air pollution from satellite, ground-station and weather data.

Skills

Geospatial & Remote Sensing
  • GIS Software: QGIS, ArcGIS Pro, ArcGIS Online, Hexagon GeoMedia, M.App Enterprise
  • Remote Sensing: SNAP (ESA), ERDAS IMAGINE, Google Earth Engine (GEE)
  • Web Mapping & Geospatial APIs: Leaflet, OpenLayers, GeoServer, MapServer
  • Spatial Databases: SQL, PostgreSQL / PostGIS
Programming & Development
  • Languages: Python, JavaScript
  • Front-End: React, Angular, Material UI, Redux, HTML, CSS
  • Version Control: Git, GitLab
  • Cloud: AWS
  • Project Management: Jira
CAD, BIM & 3D Modeling
  • CAD & BIM: AutoCAD, Revit, OpenBuildings Designer
  • Photogrammetry & Point Clouds: ContextCapture, Descartes, CloudCompare
  • 3D Modeling: MeshLab, Meshmixer, Blender

Professional & Research Experience

ViaGIS, GIS Data Engineer
  • Built and maintained web mapping applications in React and Material UI on top of OpenLayers and Leaflet, so users could browse and query geospatial data.
  • Published spatial data layers through GeoServer and MapServer and connected them to the web applications.
  • Designed and built PostgreSQL/PostGIS databases for complex spatial data.
  • Ran geospatial modelling and spatial analysis on environmental and geographic data.
  • Standardized and validated GIS datasets against project specifications so they stayed accurate and worked across systems.
  • Administered and troubleshot GIS applications and tuned them for performance.
06/2022 – 07/2026
Vilnius, Lithuania
Vigo University, Research Intern, Department of Natural Resources and Environmental
Project: AI-Based Environmental Data Modelling and Validation
    03/2026 – 06/2026
    Vigo, Spain
    EDGE Pro for Information Systems, GIS & Remote Sensing Engineer
    Project: National Spatial Data Infrastructure (NSDI) for Egypt's Ministry of Planning and Economic Development, Cairo.
    • Processed and analyzed remote sensing data for the ministry's planning decisions.
    • Developed spatial data layers for the national SDI.
    • Documented and implemented administration procedures for the spatial system, covering performance and data integrity.
    03/2020 – 09/2021
    Cairo, Egypt
    AIESEC, Volunteer
    • Ran youth and environmental-education sessions.
    07/2018 – 09/2018
    Craiova, Romania

    Education

    Vilnius Gediminas Technical University (VILNIUS TECH), PhD Candidate, Environmental Science
    Thesis: "Predictive Modeling for Air Pollution Forecasting: Integrating Machine Learning, Remote Sensing, and Geospatial Analysis"
    2023 – 2027
    Vilnius, Lithuania
    VILNIUS TECH & Riga Technical University, M.Sc. Innovative Solutions in Geomatics (Joint Degree)
    Thesis: "Analysis of satellite image classification using different algorithms", including artificial intelligence algorithms.
    2021 – 2023
    Vilnius, Lithuania / Riga, Latvia
    Cairo University, Bachelor of Civil Engineering
    2014 – 2019
    Cairo, Egypt

    Publications

    A Sensitivity Analysis of Data Imputation in Daily PM10 Prediction, M. A. S. Fahim, J. Sužiedelytė Visockienė
    Mokslas – Lietuvos ateitis / Science – Future of Lithuania, Vol. 18. https://doi.org/10.3846/mla.2026.26975
    2026
    An Assessment of the Multi-Input Spatiotemporal RF–XGBoost Hybrid Framework for PM10 Estimation in Lithuania, M. A. S. Fahim, J. Sužiedelytė Visockienė
    Sustainability. https://doi.org/10.3390/su18042022
    2026
    Satellite-Driven Monitoring and Prediction of Atmospheric Nitrogen Dioxide in Lithuania, M. A. S. Fahim, J. Sužiedelytė Visockienė
    10.18178/IJESD, ICEEA Paris, France.
    2025
    Assessing AI Algorithms for Predictive Modeling of Spatiotemporal PM10 Air Pollution, M. A. S. Fahim, J. Sužiedelytė Visockienė, R. Grubliauskas
    28th Conference for Junior Researchers „Science – Future of Lithuania“
    2025
    A Comparative Analysis of Machine Learning Techniques for PM10 Forecasting in Vilnius, M. A. S. Fahim, J. Sužiedelytė Visockienė
    ICEMSR 2024, Prague, Czechia.
    2024
    Air Pollution Sources and Their Impact on the Environment, M. A. S. Fahim, J. Sužiedelytė Visockienė
    27th Conference for Junior Researchers „Science – Future of Lithuania“
    2024
    Air Quality and Environmental Health: Evaluating Pollution Sources and Mitigation Strategies, M. A. S. Fahim, J. Sužiedelytė Visockienė
    Poster - Faculty of Chemistry and Geosciences, Institute of Chemistry, Vilnius University: Conference dedicated to the 100th birthday of geology professor Juozas Paškevičius. Vilnius, Lithuania
    2024
    AI-Based Satellite Image Classification: An Analysis of Different Algorithms on PlanetScope and Sentinel Imagery, M. A. S. Fahim, J. Sužiedelytė Visockienė
    26th Conference for Junior Researchers „Science – Future of Lithuania“
    2023
    Characteristics and Dynamics of the Latvian, Lithuanian, and Egyptian Marine Cadastre, J. Kaminskis, L. Neimane, M. A. S. Fahim, K. Jankunas, I. Stamure
    FIG Congress 2022, Warsaw, Poland.
    2022