I build neighbourhood-scale Digital Twins that turn complex spatial data into decision-ready insights. My work bridges energy performance, ecological indicators, and liveability — three domains rarely connected, unified in a single interactive 3D platform.
I'm an MSc Spatial Engineering student at the University of Twente (ITC) and a thesis researcher embedded in the FutureBEEing project (Interreg NL-DE) at Provincie Overijssel. My thesis prototype — the Twekkelerveld Neighbourhood Digital Twin — is a live, deployable 3D web platform for scenario planning around sustainability.
What drives me is the intersection of domains that traditional GIS rarely connects: how a solar panel placement affects not just energy output but also tree canopy shadow, urban heat, and residents' experience of their street. I design systems that make those trade-offs visible and actionable for planners and policy-makers.
Before spatial engineering, I spent five years in disaster risk reduction and development work across Bangladesh — leading field teams, managing stakeholder coordination, and translating community needs into programme outcomes. That human-systems perspective shapes how I think about geospatial tools: technology in service of real decisions.
Solar potential analysis, Enexis grid data integration, retrofit scenario modelling, energy performance indicators for residential neighbourhoods. MCDA-based evaluation of decarbonisation pathways.
Urban Heat Island mapping, tree canopy analysis, shadow simulation, green space indicators, biodiversity-related metrics. Climate resilience as a spatial design problem.
Both platforms are publicly deployed — built from scratch using CesiumJS, custom spatial data pipelines, and interactive scenario controls.
Neighbourhood-scale 3D platform for sustainable scenario planning. Features solar potential analysis, UHI mapping, energy retrofit configurator, MCDA-based trade-off evaluation, and animated energy flow visualisations over a CityGML LOD2.2 building model.
Spatial POI system developed for the FutureBEEing Interreg NL-DE cross-border project. Integrates geospatial sustainability indicators across the Dutch-German border region, supporting multi-stakeholder scenario communication and ecological infrastructure planning for Overijssel.
Analytical and applied projects completed during the MSc programme — spanning energy transition, ecological systems, urban mobility, and environmental management.
Built an interactive Streamlit dashboard for the municipality of Zwolle to track and simulate rooftop solar energy adoption at the wijk (district) level. Integrated PVGIS energy yield modelling, Enexis grid capacity data, CBS consumption figures, and financial payback calculators. Enables policymakers to test adoption scenarios by building type, roof suitability class, and adoption rate — outputting kWh generation, storage needs, investment costs, and payback periods.
Mapped above-ground carbon storage across the University of Twente campus using NDVI calibrated with field-collected biomass data (DBH measurements, allometric equations). Developed a Habitat Modification Index combining carbon storage, habitat quality, and runoff regulation. Conducted scenario analysis for proposed student housing at Verreveld, quantifying carbon loss, cooling demand increase, and recreational value loss. Recommended De Veldmat parking area as a lower-impact alternative.
Replicated Ludwig et al. (2021) — comparing green and fast cycling/walking routes — from Dresden/Heidelberg to Utrecht. Extracted OSM road network, derived a greenness index from Sentinel-2 NDVI within 30m road buffers, and built routing algorithms generating 1000 shortest vs. greenest route pairs. Key finding: green routes averaged double the distance of fast routes (6,273 m vs. 3,123 m). Full reproducible Python code published on GitHub.
Investigated sustainable tailings management to reduce soil contamination and water use at the turquoise mine in Neyshabur, Iran. Used NDVI time-series (2016–2024) to assess vegetation health change near mine sites with multi-ring buffer analysis. Applied weighted multi-criteria analysis across environmental, economic, local, and global perspectives across four tailings approaches — selecting Hydraulic Dewatered Stacking (HDS) as optimal. Produced a spatial site suitability assessment using DEM and land use data.
All outputs stem from the Twekkelerveld Neighbourhood Digital Twin thesis project.
Manuscript in writing stage. Focus: method development and prototype evaluation for neighbourhood-scale Digital Twins. Full paper target.
Accepted to present findings and demonstrate the live prototype. Presentation in April 2026 — prototype showcase for a cross-university research audience.
Abstract accepted. Live in-person presentation in May 2026 on the Digital Twin methodology and cross-domain indicator framework.
Abstract accepted at the IEEE International Geoscience and Remote Sensing Symposium. Sharing the Digital Twin prototype and methodology with the global remote sensing community.
Planned prototype showcase in the AI & geospatial intelligence track. Connects Digital Twin work to emerging AI-driven urban analytics.
Designing and deploying a neighbourhood Digital Twin for Twekkelerveld, Enschede. Integrated pipeline from municipal open data to 3D web prototype with scenario planning, MCDA, and stakeholder documentation for public-sector users.
Coordinated education and research activities around sustainability at the university–community interface. Supported collaborations between academic teams and civic stakeholders.
Contributed to programme quality reviews and student–staff feedback mechanisms.
Led field teams and coordination programmes in disaster risk reduction and community development across Bangladesh. Five years of stakeholder management, technical reporting, and community-focused programme delivery.
Thesis: "Digital Twin for Improvement of the Sustainability of Neighbourhoods through Scenario Planning." Also completed the Master's Honours Programme in Change Leadership & Management (15 ECTS) — a selective programme exclusively open to the top 10% of students university-wide.
Cross-disciplinary focus on development policy, social systems, and research methodology. Graduated with distinction.
Foundation in disaster risk management, human security frameworks, and community resilience — the analytical base for later cross-domain work in spatial sustainability.
Open to research collaborations, EngD/PhD opportunities, and GIS/Digital Twin roles. Reach out on any channel below.