Hadi Yazdi, M.Sc.

Green Technologies in Landscape Architecture


Contact Details
Business card at TUMonline


Doctoral candidate in School of Engineering and Design
2022 - Present    Technical University of Munich, Munich, Germany

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


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.


  • Yazdi, Hadi; Shu, Qiguan; Rötzer, Thomas; Petzold, Frank; Ludwig, Ferdinand: A multilayered urban tree dataset of point clouds, quantitative structure and graph models. Scientific Data 11 (1), 2024 mehr…


  • Yazdi, H; Mügge, G; Movafagh, S; Fallahi, MH; Ludwig, F; Moazen, S: The Effect of Improper Interfering in The Historical Architecture on Energy Wasting (Case Study: Bibi-Roqayyeh House, Yazd, Iran). IOP Conference Series: Earth and Environmental Science 1196 (1), 2023, 012103 mehr…
  • Yazdi, Hadi; Shu, Qiguan; Ludwig, Ferdinand: A Target-driven Tree Planting and Maintenance Approach for Next Generation Urban Green Infrastructure (UGI). JoDLA – Journal of Digital Landscape Architecture (8-2023), 2023, 178-185 mehr…


  • 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…
  • Yazdi, Hadi; Sad Berenji, Shina; Ludwig, Ferdinand; Moazen, Sajad: Deep Learning in Historical Architecture Remote Sensing: Automated Historical Courtyard House Recognition in Yazd, Iran. Heritage 5 (4), 2022, 3066-3080 mehr…


  • 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…


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

Winter term 2023/24