Available Q2 2026 · — : — Torino · Press ⌘K for anywhere
M. Daud Tasleem daudee.com · Geospatial engineer Start a project
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.

Open prototype lab Browse all work
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)
Project reach · live globe 7 cities
TORINO · IT 45.07°N · 7.69°E
Research hub Client delivery
0+Prototype tracks
0Active systems
0%Real work
Focus Natural hazards Digital twins Urban heat (UHI) Flood & deformation GeoAI
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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.

Trusted by
  • WHOWorld Health Organization
  • PolitoPolitecnico di Torino
  • DigiSkyESA InCubed partner
  • NODESPNRR research grant
  • MANAGE 5.0EU funded
  • NUSTMilitary College of Engg.
  • Upwork3-yr Top-Rated

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.

Oct 2023 – Current Funded · MANAGE 5.0

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.

Politecnico di Torino · Research Assistant
Digital twinWeb-BIMGeoAIHazard
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

Live synthetic interferogram

Radar sees what the eye can’t.

Each colored fringe represents ~1.4 cm of line-of-sight displacement from a Sentinel-1 C-band pair. Hover to freeze the phase stack — drag to shift the acquisition window.

  • 6 daysrevisit
  • 5 mground res.
  • π → −πphase wrap
  • mm/yrPSI stack

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 — output. Shipped surface

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 method

From muddy data to a reviewable decision surface.

Every engagement follows the same four-beat loop. Hover a node to see what it actually means on the ground.

  1. 01

    Discover

    Map the hazard, the stakeholder, and the decision. Audit the data you actually have — DEM, SAR stacks, orthos, BIM, IoT feeds, ground-truth.

    • Stakeholder interviews
    • Data inventory & gap analysis
    • Decision-surface sketch
  2. 02

    Model

    Build the analytical spine — PCA vulnerability, PSI/SBAS deformation, segmentation networks, multi-hazard PostGIS schemas — with reproducible notebooks.

    • Geoprocessing pipelines
    • GeoAI training & benchmarks
    • Validation vs ground-truth
  3. 03

    Interface

    Wrap the model in a surface someone can actually defend in a meeting — WebGIS, plugin dialog, digital-twin viewer, or dashboard with real filters.

    • Mapbox / Cesium / QGIS UI
    • Accessibility & review flow
    • Export / report generator
  4. 04

    Evidence

    Ship an audit-ready bundle — screenshots, data dictionaries, versioned notebooks, and a short Loom walkthrough. Nothing lives in a lone laptop.

    • Evidence manifest
    • Handover & training
    • Post-delivery review

“Daud’s work bridges academic rigor and ship-ready product craft in a way most geospatial engineers never reach. The digital-twin prototype was usable in the same week we briefed it.”

Senior researcherDIATI · Politecnico di Torino

06 The work

Shipped systems & client deliveries.

Seven verified client deliveries — published research, WebGIS tooling, dashboards, plugins, and hazard analytics. Click a card to open the case-study gallery.

Building footprint segmentation comparison from the Scientific Reports paper.
Published · Scientific Reports (Nature)

Urban building-footprint segmentation

DeepLabv3 + U-Net + RGB+Z fusion for high-resolution ortho-imagery. Five architectures benchmarked, camera-ready figures, co-authored journal paper.

  • 5models benched
  • RGB+Zdata fusion
  • 15case images
Open gallery
Mapbox real-estate parcel WebGIS landing surface.
Mapbox GL · WebGIS

Mapbox real-estate parcel WebGIS

Browser-native parcel review surface — custom basemap, polygon-draw selection, attribute filters, and CSV / KML export for a real-estate client.

  • Polygondraw selection
  • CSV+KMLexports
  • 2case images
Open gallery
Jacksonville FL MSA PowerBI dashboard cover page.
PowerBI · Market study

Jacksonville FL MSA dashboard

Eight-page PowerBI report for the Jacksonville Metropolitan Statistical Area — spatial joins, demographic overlays, and KPI rollups for a US market-study client.

  • 8report pages
  • Spatialjoins
  • MSAscoped
Open gallery
Cross-border highway SPO QGIS plugin dialog.
QGIS · Client plugin

Cross-border highway SPO plugin

PyQGIS plugin enforcing EU cross-border highway Special Planning Object guidelines — geometry validation, topology checks, and audit-ready report export.

  • Autogeometry check
  • PDFreport export
  • EUguideline ref
Open gallery
Multi-hazard risk assessment paper figure.
Published · Sustainability (MDPI)

Multi-hazard risk assessment

Multi-hazard susceptibility, exposure, and vulnerability modelling — flood, landslide, seismic — synthesised into a risk index for sustainable infrastructure planning.

  • 3hazards modelled
  • PCArisk index
  • 9figure pages
Open gallery
Urban Heat Island land-surface temperature map.
Urban climate · UHI

Urban Heat Island vulnerability

LST, NDVI, and adaptive-capacity analysis for an urban heat-island study summary — Landsat-derived rasters, PCA-driven vulnerability index, and map deliverables.

  • Landsat 8LST rasters
  • PCAadaptive index
  • 6case pages
Open gallery
Watershed delineation and morphometric analysis.
Hydrology · 44-page report

Watershed hydrology & morphometry

DEM-driven watershed delineation, morphometric indices, and hydrological response modelling — packaged as a 44-page audit-ready engineering report.

  • 12morphometric idx
  • 44page report
  • 12case pages
Open gallery

07 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.

08 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.

daudtasleem215@gmail.com GitHub