I’m Mina Fahim — a GIS engineer and environmental researcher building geospatial systems and predictive models that turn satellite data, air-quality measurements, and remote sensing into decisions you can trust.
Trained in civil engineering and geomatics, currently writing my PhD on predictive modeling for air-quality forecasting at Vilnius Gediminas Technical University.
54.6872° N, 25.2797° E
For the past five years I’ve worked at the intersection of remote sensing, GIS engineering, and machine learning — first on Egypt’s National Spatial Data Infrastructure, now as a GIS Data Engineer at ViaGIS in Lithuania, where I design web-based mapping solutions used by agencies and enterprises across the Baltics.
In parallel, my doctoral research builds hybrid ML / remote-sensing models to forecast PM10 and NO2 levels, integrating satellite imagery, ground stations, and meteorological inputs. The goal is to make atmospheric pollution visible, attributable, and predictable.
— mapping the invisible, one pixel at a time.
The trail of work, study and research that led here. Click a pin to read more.
Geospatial web applications, environmental modeling pipelines, and the tooling around them.
An end-to-end pipeline ingesting Sentinel-5P imagery, EEA ground-station readings, and ERA5 meteorological reanalysis — producing daily PM₁₀ forecasts at 1km resolution across Lithuania. Outperforms baseline models by 18% RMSE.
From hybrid ML frameworks for PM10 to comparative cadastre studies. Click any DOI for the full text.
From civil engineering in Cairo to a doctoral track in Vilnius.
A practical inventory across geospatial software, web development, and 3D / visualization.