I am a Geospatial Data Scientist and researcher with a PhD in Electrical Engineering from Politecnico di Milano, working at the intersection of GIScience, spatial data science, machine learning, and GeoAI.
I develop transparent and reproducible geospatial methodologies that integrate heterogeneous spatial data, spatial analysis, machine learning, and explainable AI to support evidence-based planning and infrastructure decisions.
My research and projects span renewable energy, electric mobility, urban analytics, spatial equity, remote sensing, and spatial decision support.
GIS-based assessment of EV charging accessibility and spatial equity across European cities using spatial accessibility analysis and distributional equity indicators.
Methods: GIS · GeoPandas · Accessibility Analysis · Gini Coefficient · Python
National-scale geospatial assessment of land availability for solar PV development in Italy under regulatory, environmental, and territorial restrictions.
Methods: GIS · Spatial Overlay · Regulatory Data Integration · Spatial Analysis
🚧 Repository coming soon
GIS-based multi-criteria framework for solar PV site suitability assessment, including spatially explicit collinearity and sensitivity analyses.
Methods: GIS · MCDM · AHP · Spatial Statistics · Sensitivity Analysis
🚧 Repository coming soon
Integration of Multi-Criteria Decision Analysis, Machine Learning, and Explainable AI to learn, evaluate, and explain expert-driven spatial suitability decisions.
Methods: GIS · MCDM · Machine Learning · XGBoost · LightGBM · SHAP
🚧 Repository coming soon
Geospatial and machine-learning approaches for analyzing energy infrastructure and supporting data-driven planning and decision-making.
Methods: GeoAI · Spatial Data Integration · Machine Learning · Energy Systems
🚧 More projects coming soon
- 🌍 Geospatial Data Science & GeoAI
- 🏙️ Urban & Infrastructure Analytics
- 📍 Spatial Accessibility & Equity Analysis
- 🤖 Machine Learning & Explainable AI
- ☀️ Renewable Energy Planning
- 🚗 Electric Mobility & Charging Infrastructure
- 🛰️ Remote Sensing & Spatial Modelling
- 🗺️ Multi-Criteria Spatial Decision Analysis
Programming & Data
Python · SQL · MATLAB · ArcPy
Geospatial
GeoPandas · Rasterio · Shapely · ArcGIS Pro · QGIS · PostGIS · ArcGIS Server
Machine Learning & XAI
scikit-learn · XGBoost · LightGBM · SHAP · Regression · Classification
Spatial Analytics
Spatial Statistics · Network Analysis · Accessibility Analysis · Spatial Equity ·
Multi-Criteria Decision Analysis · Multi-source GIS
Databases & Development
PostgreSQL/PostGIS · Oracle · SQL Server · Git · REST APIs
My research focuses on developing transparent, interpretable, and reproducible geospatial methods for complex spatial decision-making problems.
My work has covered:
- GeoAI and machine learning for spatial decision support
- GIS-MCDM and explainable AI for renewable-energy planning
- Solar PV land availability and site suitability
- EV charging accessibility and spatial equity
- Remote sensing and environmental modelling
- Spatial information modelling and urban analytics
I have authored and co-authored peer-reviewed research in journals including Renewable Energy, Journal of Hydrology, IEEE Access, Remote Sensing, Heritage Science, and Energies.
📚 H-index: 14 | 900+ citations
PhD in Electrical Engineering
Politecnico di Milano 🇮🇹
GIS for Renewable Energy Development
Visiting PhD Researcher
University of Twente – ITC 🇳🇱
Machine Learning & Multi-Criteria Spatial Decision Analysis
M.Sc. in Geospatial Information Systems
K. N. Toosi University of Technology 🇮🇷
B.Sc. in Civil Engineering – Surveying
University of Tabriz 🇮🇷
I am interested in research and industry opportunities involving Geospatial Data Science, GeoAI, Spatial Analytics, GIS, and data-driven infrastructure planning.