EDUCATION
EDUCATION
My education combines fundamental sciences with engineering, providing me with a deep and comprehensive perspective to tackle complex technical and scientific challenges. This blend allows me to seamlessly integrate theoretical concepts with practical engineering applications.
2021 – 2024
MSc in Environmental Engineering
Università di Bologna
Thesis Title:
Advanced Deep Learning Models for Urban Building Footprint Extraction and Renewable Energy Analysis
Developed deep learning models to extract building footprints from satellite imagery of Turin and Bologna, aiding urban planning and renewable energy analysis. achieving high accuracy and adaptability. Predicted rainfall and solar potential, automated footprint extraction, and refined municipal data via web scraping and data wrangling to enhance model precision.
2013 – 2016
B.Sc. in Civil Engineering
University of Azad
Thesis Title:
Data-Driven Assessment of Building Performance for Sustainable Construction
Used Python and MATLAB to analyze building performance data, identifying trends in material efficiency and energy use to support sustainable design and optimize construction practices.
2007 – 2011
B.Sc. in Computer Science
University of Guilan
Thesis Title:
Discrete Computational Models for Urban Growth: A Data Engineering Perspective
Built data workflows for preprocessing, transformation, and visualization, gaining solid foundations in data modeling, algorithm design, and computational analysis with applications relevant to data engineering.
English
Italian
Persian