Niloofar Joulaei

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.

Country

-

City

Italy

Industry

Government Administration

Skill

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

Future Urban Legacy Lab

Master Thesis & Internship — Urban Digital Twin & GIS Modeling

Future Urban Legacy Lab

LinkedIn
2026-1 - Present · 9 mos

• 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.

Sharman Engineering Group

Urban Data & GIS Researcher

Sharman Engineering Group

LinkedIn
2020-5 - 2023-1 · 2 yrs 9 mos

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.

Education

Politecnico di Torino

Politecnico di Torino

LinkedIn

DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS

2023-10 - 2026-7 · 2 yrs 10 mos
Art University of Isfahan

Art University of Isfahan

LinkedIn

Urban planning

2018-10 - 2022-9 · 4 yrs

Niloofar Joulaei's Contact Information

Email

******@***.com

Phone

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