Hadi Yazd, M.Sc.

Professorship
Green Technologies in Landscape Architecture

Department
Architecture

Contact Details
Business card at TUMonline

EDUCATION

Master of Science in Architecture (Double Degree)
2019 - 2021   Brandenburg University of Technology, Cottbus, Germany
2019 - 2021   Poznan University of Technology, Poznan, Poland

Bachelor of Architectural Engineering
2010 - 2014   JundiShapur University of Technology, Dezful, Iran

ACADEMIC CAREER AND RESEARCH AREAS

Hadi Yazdi’s Research is focused on using computational methods as well as machine learning in Target-driven Tree planning in cities. He is interested in data-driven approaches in Urban Green Infrastructure for tree growth prediction and developing DSS (decision support systems) for tree planting suggestions.

Hadi Yazdi studied architecture and completed his Master of Science double degree from Brandenburg Technical University, Germany, and Poznan university of technology, Poland. His master thesis entitled “Central Courtyard Feature Extraction in Remote Sensing Aerial Images Using Deep Learning: A case-Study of Iran”. He applied object detection and image segmentation methods on aerial images in 9 different cities in Iran to collect big data on the central courtyard features for further studies and analysis. The result of his thesis was the first big dataset of more than 26,000 central courtyards and the final report is published in the "Remote Sensing" journal, special issue "Photogrammetry and Remote Sensing for Survey and 3D Reconstruction of Historical Built Landscapes".

Hadi Yazdi is now carrying the research project Urban Green Infrustructure funded by DFG GRK 2678/1, AOBJ:68242 Urbane Grüne Infrastruktur for his PhD study at GTLA and cooperate in the research project Urban Green System 4.0.

2022

  • Yazdi, H; Vukorep, I; Bazazzadeh, H: The Methods of Deep Learning and Big Data Analysis in Promoting Sustainable Architecture. IOP Conference Series: Earth and Environmental Science 1078 (1), 2022, 012136 mehr…

2021

  • Yazdi, Hadi; Vukorep, Ilija; Banach, Marzena; Moazen, Sajad; Nadolny, Adam; Starke, Rolf; Bazazzadeh, Hassan: Central Courtyard Feature Extraction in Remote Sensing Aerial Images Using Deep Learning: A Case-Study of Iran. Remote Sensing 13 (23), 2021, 4843 mehr…

2017

  • Mohammadjavad Mahdavinejad; Yazdi, Hadi: Daylightophil Approach Towards High-Performance Architecture For Hybrid-Optimization Of Visual Comfort And Daylight Factor In Bsk. Zenodo, 2017 mehr…