Since April 2021 Seyran Khademi is an Assistant Professor at the chair of Theory of Architecture and Digital Culture and the Co-director of AiDAPT (AI for Design, Analysis, and Optimization in Architecture and the Built Environment) lab. Her research interest lies at the intersection of Artificial Intelligent, Computer vision, and Deep learning in the context of visual data for Architectural Design. In 2017 she was appointed as an interdisciplinary postdoctoral researcher between the Computer vision lab and Architecture faculty working on 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. She received her Ph.D. in signal processing and optimizations in 2015 from TUDelft, under the supervision of prof. Alle-Jan van der Veen 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 BSc degree in telecommunications from the University of Tabriz in Iran.