S. Khademi
S. Khademi
Contact
Profiel
Expertise
Computer Vision, Deep Learning, Visual Data, Visual Similarity Learning, Data Science, Machine Learning, Optimization, Statistics, Quantitative Visual Analysis
Biografie
Since April 2021, Seyran Khademi is an Assistant Professor at the faculty of Architecture and the Built Environment (ABE) and the co-director of AiDAPT lab (AI for Design, Analysis, and Optimization in Architecture and the Built Environment). She is working as an interdisciplinary researcher between Computer Vision lab and Architecture Department at ABE. Her research interest lies at the intersection of Data, Computer Vision and Deep Learning in the context of man-made imagery including illustrations and visual data for Architectural Design. In 2020 she was honored to be the research in residence fellow at the Royal Library of the Netherlands working on visual recognition for children’s book collection. In 2017 she was appointed as an postdoctoral researcher at Computer vision lab working on the ArchiMediaL project, regarding the automatic detection of buildings and architectural elements in visual data focusing on Computer Vision and Deep Learning methods for archival data and street-view imagery. Seyran received her Ph.D. in signal processing and optimization in 2015 from TU Delft, followed by postdoctoral research on Intelligent Audio and Speech algorithms. She received her MSc. degree in Signal Processing from the Chalmers University of Technology in Gothenburg, Sweden, in 2010 and her BSc degree in telecommunications from the University of Tabriz in Iran.
Lees minderExpertise
Publicaties
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2025
MSD
A Benchmark Dataset for Floor Plan Generation of Building Complexes
Casper van Engelenburg / Fatemeh Mostafavi / Emanuel Kuhn / Yuntae Jeon / Michael Franzen / Matthias Standfest / Jan van Gemert / Seyran Khademi -
2024
AI-supported approach for human-building interaction implemented at furniture scale
Henriette Bier / Arwin Hidding / Stijn Brancart / Alessandra Luna-Navarro / Seyran Khademi / Casper van Engelenburg
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2024
Advancing Applications for Artificial-Intelligence-Supported Ambient Control in the Built Environment
Henriette Bier / Arwin Hidding / Seyran Khademi / Casper van Engelenburg / Hamed Alavi / Sailin Zhong
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2024
BatchPlan
A Large Scale Solution for Floor Plan Extraction
Burak Yildiz / Javier Cuartero / Fatemeh Mostafavi / Seyran Khademi -
2024
Computer Vision for Terrain Mapping and 3D Printing In-situ of Extra/-terrestrial Habitats
Giuseppe Calabrese / Arwin Hidding / Henriette Bier / Casper van Engelenburg / Seyran Khademi / Atousa Aslaminezhad
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Nevenwerkzaamheden
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2024-12-27 - 2025-12-31