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
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".
Ludwig, Ferdinand; Hensel, Michael; Rötzer, Thomas; Ahmeti, Albin; Chen, Xi; Erdal, Halil Ibrahim; Reischel, Astrid; Shu, Qiguan; Tyc, Jakub Marcin; Yazdi, Hadi: Digital Workflow for Novel Urban Green System Design Derived from a Historical Role Model. Wichmann Verlag, 2024 more…
Micklewright, Julia; Baghaie Poor, Mahtab ; Fakirova, Elizaveta; Yazdi, Hadi; Rahman, Mohammad A: Urban Green Infrastructure for Resilient Urban Transformations: A System Dynamics Modelling Approach for Streets as Multifunctional Spaces. Proceedings of 37th PLEA Conference, Sustainable Architecture and Urban Design, 2024 more…
Yazdi, Hadi; Shu, Qiguan; Chen, Xi; Rötzer, Thomas; Ludwig, Ferdinand: GroTree – A Novel Toolbox for Simulating and Managing Urban Tree Canopy Growth. Wichmann Verlag, 2024 more…
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 more…
2023
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 more…
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 more…
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 more…
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 more…
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 more…
2017
Mohammadjavad Mahdavinejad; Yazdi, Hadi: Daylightophil Approach Towards High-Performance Architecture For Hybrid-Optimization Of Visual Comfort And Daylight Factor In Bsk. Zenodo, 2017 more…
