Niloofar Joulaei
Master Thesis & Internship — Urban Digital Twin & GIS Modeling @ Future Urban Legacy Lab
About
I specialize in the transformation of fragmented real-world information into structured digital models that facilitate improved analysis and decision-making. My work is situated at the intersection of GIS, urban data, and digital twins.I am presently in the process of completing my master's thesis internship at Politecnico di Torino, where I am engaged in the assessment of data quality and the development of semantic models for urban digital twins and 3D city models. I am responsible for the integration of GIS and IoT-based data, frequently addressing incomplete or inconsistent datasets in order to enhance their usability in digital environments. In a broader sense, I am intrigued by the industrial application of digital twin technologies, such as their use in infrastructure systems, energy networks, and smart industrial environments, where data-driven insights facilitate operational efficiency and transformation.In the future, I aspire to advance in positions that involve the application of GIS and digital twin technologies in real-world industrial settings to generate tangible results.
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Italy
Government Administration
Digital Twins, PostgreSQL, Deep Learning, Predictive Analytics, Geographic Information Systems (GIS), ArcGIS Pro, QGIS, PostGIS, FIWARE Smart Data Models, Python (Programming Language), Internet of Things (IoT), R (Programming Language), Smart Cities, Spatial Analysis, Data Visualization, Energy Policy, Cartography, Database Administration, Sustainable Transport, Mobility Strategy
Experience

Master Thesis & Internship — Urban Digital Twin & GIS Modeling
• Developing a scalable GIS-based urban model for the City of Turin using updated municipal spatial datasets. • Harmonizing heterogeneous spatial data and improving data interoperability across municipal systems. • Applying Python programming for spatial data processing, cleaning, and automation of geospatial workflows. • Designing multi-level urban geometry representations to connect different Levels of Detail with urban planning applications. • Conducting spatial analysis and data validation to support the development of Urban Digital Twin frameworks.

Urban Data & GIS Researcher
Isfahan Province, Iran
• Led GIS-based urban research and spatial analysis supporting smart city and sustainable mobility initiatives. • Collaborated with 20+ planners, engineers, and policymakers to develop data-driven planning strategies. • Built spatial analysis tools and sustainability metrics improving resource allocation for green infrastructure by 15%. • Produced 20+ technical reports and dashboards guiding €10M in sustainable urban investments and informing municipal planning projects.
Niloofar Joulaei's Contact Information
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