Available for Q2 2026 engagements · Polito + freelance

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.

Multi-hazard risk SAR / InSAR GeoAI Mapbox · Cesium QGIS / PyQGIS BIM · Digital twins
Portrait of M. Daud Tasleem.
M. Daud Tasleem Research Assistant · Polito · MSc Civil Eng (103/110)
Live prototype map 6 active
Rail twin WebGIS GeoAI QGIS SAR / InSAR UAV
0+Prototype tracks
0Active systems
0%Real work
Focus Natural hazards Digital twins Urban heat (UHI) Flood & deformation GeoAI

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.

550+Freelance projects
7Publications
110+Citations
3Funded research grants

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.

Jul – Sept 2023 Funded · ESA InCubed

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.

DigiSky Italy·Research Collaborator
UHIThermalPCA
Feb – Sept 2023 Funded · NODES

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).

Politecnico di Torino·Research Collaborator
Multi-hazardResiliencePostGIS
Sept 2022 – Mar 2023

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.

DigiSky Italy · Polito·Master Thesis
GeoAIUNetSAM
Aug – Oct 2022 Curricular Internship

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%.

DigiSky Italy·Intern
PyQGISUHIOrtho
Sept – Dec 2022 Fellowship

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.

DIATI · Polito·Student Fellow
UE5VR3D

03 The papers

What’s been peer-reviewed.

Seven publications in Sustainability, Scientific Reports, and Smart Cities — 110+ citations, h-index 3, i10 3.

0+Citations
0Publications
0h-index
0i10-index
Google Scholar
  1. 01

    Sustainability · MDPI · 2024 · 45 citations

    Comprehensive Analysis of the Use of Web-GIS for Natural Hazard Management: A Systematic Review

    Daud M., Ugliotti F. M., Osello A.

    Published · Q1 Sustainability 16(10) Web-GIS Natural hazards
  2. 02

    Scientific Reports · Nature · 2024 · 35 citations

    Revolutionizing Urban Mapping: Deep Learning and Data Fusion Strategies for Accurate Building Footprint Segmentation

    Dabove P., Daud M., Olivotto L.

    Published · Nature Sci. Reports 14(1) Deep learning Data fusion
  3. 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

    Ugliotti F. M., Osello A., Daud M., Yilmaz O. O.

    Published · Q1 doi: 10.3390/su151612429 Multi-hazard Digital twin
  4. 04

    Smart Cities · MDPI · 2025 · 3 citations

    Spatial Insights for Building Resilience: The Territorial Risk Management & Analysis Across Scale Framework

    Ugliotti F. M., Daud M., Iacono E.

    Published Smart Cities 8(1) TRMAAS Resilience
  5. 05

    Sustainability · MDPI · 2026

    Rethinking Education on Critical Infrastructure Resilience and Risk Management

    Ugliotti F. M., Zucco M., Daud M.

    Published Sustainability 18(6) Critical infrastructure Education
  6. 06

    geodaysIT · Bari · 2023

    The Use of Open-Source Machine Learning Techniques for Urban Features Extraction

    Daud M.

    Presented Conference ML Urban features
  7. 07

    Politecnico di Torino · 2023 · Master Thesis

    Corridor Mapping Processing Using the Machine Learning Approach

    Daud M.

    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.

Flagship prototype
Verified UI surface
ModelRAIL Pro operational dashboard.

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.

Problem
Make fragmented rail inspection data readable in one decision surface.
Output
A review-ready dashboard with map, twin, risk, drone, and reporting views.
Node.jsCesiumMapboxInSAR

05 The work

Shipped systems & client deliveries.

Eleven systems across WebGIS, GeoAI, remote sensing, infrastructure, and tooling. Filter by domain.

Mapbox parcel helper interface.
WebGIS prototype

Mapbox parcel helper

Parcel selection, notes, measure tools, basemaps, export actions, and real-estate map review.

View case
SkyELAI QGIS plugin dialog.
QGIS plugin

SkyELAI accessibility index

Emergency landing accessibility and risk analysis with PyQGIS processing and reporting.

View case
GeoAI urban image classification examples.
GeoAI research

Urban feature extraction

Building footprints and urban feature segmentation from high-resolution imagery.

View case
GIS hazard overlay on satellite imagery.
SAR / InSAR

Hazard & deformation monitoring

Sentinel-1 flood impact, PSI/SBAS deformation, hazard overlays, and WebGIS delivery.

View case
Drone flight path planning interface.
Inspection workflow

UAV evidence pipelines

Mission summaries, evidence manifests, route context, and asset review logic.

View case
Interactive Mapbox landing site with filters.
Mapbox · Landing surface

Interactive real-estate map

Landing experience with live parcel filters, polygon selection, and custom basemap styling for a real-estate client.

View case
Deep learning building footprint segmentation output.
Published · Nature

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 interface.
QGIS · Client plugin

Cross-border highway SPO plugin

PyQGIS plugin for cross-border highway SPO guidelines — automated geometry validation, routing checks, and report export.

View case
PowerBI dashboard for Jacksonville FL MSA.
PowerBI · Dashboard

Jacksonville FL MSA dashboard

Metro-area analytics dashboard with spatial joins, demographic overlays, and KPI rollups for a US market-study client.

View case
Urban rooftop extraction evidence tiles.
Urban · UHI

Watershed & UHI analytics

Hydrology summaries, runoff modelling, and thermal-camera UHI vulnerability with PCA adaptive-capacity scoring.

View case

06 The stack

Map, model, interface, evidence.

WebGIS Mapbox GL, Leaflet, ArcGIS JS, Cesium, GeoServer, OGC services.
Analysis Python, GDAL, GeoPandas, Rasterio, ArcPy, PostGIS, FME, SNAP.
GeoAI DeepLabv3, U-Net, segmentation, SAR/optical fusion, change detection.
Delivery Node.js, QGIS plugins, reports, validation scripts, evidence bundles.

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.