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Seyran Khademi

Assistant Professor at Delft University of Technology

Areas of expertise

  • - Computer Vision
  • - Visual Similarity Learning
  • - Visual Dataset Visualization
  • - Quantitative Visual Analysis
  • - Interpretable AI

Major works

  • Computer Vision
  • Visual Similarity Learning
  • Visual Dataset Visualization
  • Quantitative Visual Analysis
  • Machine Learning
  • Interpretable AI

About me

Seyran is an Assistant Professor at the Design, Data and Society (DDS) Group at the Faculty of Architecture and the Built Environment at TU Delft. With a passion for harnessing the transformative potential of artificial intelligence and data analysis in the field of architecture, Seyran also serves as the co-director of the Artificial Intelligence Lab, known as ‹‹AiDAPT›› (AI for Design, Analysis, and Optimization in Architecture and the Built Environment). Seyran received her Ph.D. from TU Delft in 2015, and was appointed as an interdisciplinary postdoctoral researcher, simultaneously collaborating with the Computer Vision Lab and the Faculty of Architecture and the Built Environment at TU Delft. Seyran holds a Master from the Chalmers University of Technology in Gothenburg, Sweden, and a Bachelor degree from the University of Tabriz in Iran.