Geospatial systems for natural hazards,
built as products.
I’m M. Daud Tasleem — a civil-engineer-turned-geospatial product engineer researching at Politecnico di Torino. I build WebGIS, SAR/InSAR, QGIS, GeoAI, and digital-twin systems for multi-hazard risk, urban heat, flood impact, and infrastructure resilience.
01 The person
From civil engineer to geospatial researcher & builder.
I bridge academic rigor with product craft. Research at Politecnico di Torino feeds directly into the tools, plugins, and dashboards I ship.
I’m a civil engineer by training, a researcher at Politecnico di Torino, and a freelance geospatial product engineer with 550+ delivered projects.
My work focuses on translating natural-hazard science — flood, landslide, urban heat, seismic deformation — into operational spatial decision surfaces. I combine WebGIS, SAR/InSAR, QGIS, GeoAI, UAV inspection, and digital twins into one coherent toolkit.
On the research side I’ve published in Sustainability (MDPI), Scientific Reports (Nature), and Smart Cities. On the applied side, I’ve been a 3-year top-rated seller on Upwork, serving clients including the WHO.
02 The research
Funded work on natural hazards and resilience.
Six active and completed projects backed by MANAGE 5.0, NODES, and ESA InCubed — spanning multi-hazard analysis, urban heat, corridor GeoAI, and digital-twin resilience.
GIS-BIM 5.0 Web Visualization Platform
Unified platform for dynamic 3D data display and real-time urban analysis. Uses ML, Web-BIM, GIS, IoT, and GeoAI for 3D+ visualization and natural-hazard decision support.
PCA for Urban Heat Vulnerability Index
Led Urban Heat Island study bridging academic + commercial sectors. Acquired and pre-processed thermal camera data with meteorological corrections; ran PCA on adaptive-capacity indicators and implemented green-infrastructure recommendations.
Multi-Hazard Landscape Digital Twin
Multi-hazard road-network analysis of Orco Valley with socio-economic indicators. Built a PostGIS database integrating 2D-3D open-source data and published in Q1 journal (Sustainability, MDPI).
Corridor Mapping with Machine Learning
Pixel & object-based classification benchmark on 2D vs 2.5D datasets for airport corridors. Compared RF, SVM, DeepLabv3, SAM, and UNet — achieving 91% F1.
Semi-Automatic Flat-Roof Extraction
QGIS plugin with a semi-automatic algorithm extracting green-roof / flat-roof data from dense urban ortho-mosaics — targeting urban-heat-island mitigation. Ground-truth accuracy: 92%.
Giovanni Curioni’s 3D VR Museum
Immersive, interactive VR museum built in Unreal Engine 5. Cross-platform app providing access to high-quality 3D models of historical collections.
03 The papers
What’s been peer-reviewed.
Seven publications in Sustainability, Scientific Reports, and Smart Cities — 110+ citations, h-index 3, i10 3.
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01
Sustainability · MDPI · 2024 · 45 citations
Comprehensive Analysis of the Use of Web-GIS for Natural Hazard Management: A Systematic Review
Published · Q1 Sustainability 16(10) Web-GIS Natural hazards -
02
Scientific Reports · Nature · 2024 · 35 citations
Revolutionizing Urban Mapping: Deep Learning and Data Fusion Strategies for Accurate Building Footprint Segmentation
Published · Nature Sci. Reports 14(1) Deep learning Data fusion -
03
Sustainability · MDPI · 2023 · 27 citations
Enhancing Risk Analysis toward a Landscape Digital Twin Framework: A Multi-Hazard Approach in the Context of a Socio-Economic Perspective
Published · Q1 doi: 10.3390/su151612429 Multi-hazard Digital twin -
04
Smart Cities · MDPI · 2025 · 3 citations
Spatial Insights for Building Resilience: The Territorial Risk Management & Analysis Across Scale Framework
Published Smart Cities 8(1) TRMAAS Resilience -
05
Sustainability · MDPI · 2026
Rethinking Education on Critical Infrastructure Resilience and Risk Management
Published Sustainability 18(6) Critical infrastructure Education -
06
geodaysIT · Bari · 2023
The Use of Open-Source Machine Learning Techniques for Urban Features Extraction
Presented Conference ML Urban features -
07
Politecnico di Torino · 2023 · Master Thesis
Corridor Mapping Processing Using the Machine Learning Approach
Thesis 91% F1 DeepLabv3 · UNet · SAM
04 The lab
Click through the work like a product.
Pick a system — the preview, problem, outcome, and stack update live.
Rail monitoring / Digital twin
ModelRAIL Pro
Rail infrastructure monitoring with GIS, InSAR, UAV workflows, point-cloud review, digital twin views, audit logging, reports, and live operational context.
05 The work
Shipped systems & client deliveries.
Eleven systems across WebGIS, GeoAI, remote sensing, infrastructure, and tooling. Filter by domain.

ModelRAIL Pro
Rail monitoring dashboard with GIS, InSAR, UAV, twin, point cloud, reports, auth, and audit-ready workflows.
View case
Mapbox parcel helper
Parcel selection, notes, measure tools, basemaps, export actions, and real-estate map review.
View case
SkyELAI accessibility index
Emergency landing accessibility and risk analysis with PyQGIS processing and reporting.
View case
Urban feature extraction
Building footprints and urban feature segmentation from high-resolution imagery.
View case
Hazard & deformation monitoring
Sentinel-1 flood impact, PSI/SBAS deformation, hazard overlays, and WebGIS delivery.
View case
UAV evidence pipelines
Mission summaries, evidence manifests, route context, and asset review logic.
View case
Interactive real-estate map
Landing experience with live parcel filters, polygon selection, and custom basemap styling for a real-estate client.
View case
Building footprint segmentation
DeepLabv3 + UNet + data-fusion pipeline for urban ortho-imagery. Basis of the 35-cite Scientific Reports paper.
View case
Cross-border highway SPO plugin
PyQGIS plugin for cross-border highway SPO guidelines — automated geometry validation, routing checks, and report export.
View case
Jacksonville FL MSA dashboard
Metro-area analytics dashboard with spatial joins, demographic overlays, and KPI rollups for a US market-study client.
View case
Watershed & UHI analytics
Hydrology summaries, runoff modelling, and thermal-camera UHI vulnerability with PCA adaptive-capacity scoring.
View case06 The stack
Map, model, interface, evidence.
07 The collaboration
Need a geospatial system that feels real enough to review?
Best fit: WebGIS products, natural-hazard platforms, GeoAI demos, SAR/InSAR workflows, QGIS tooling, and digital-twin prototypes.