AiDAPT Lab

Empowering decision-making processes of architects and engineers through AI, across different scales and life-cycle design phases of the built environment, is a key lever for the necessary sustainability transitions in the age of data and digitalization. At AiDAPT Lab (AI for Design, Analysis, and Optimization of the Built Environment), computer vision, data science, and decision optimization methods come together through the development of deep learning, reinforcement learning, and uncertainty quantification frameworks that help us analyze and synthesize decisions for architectural and structural systems. Application themes of interest range from automatic recognition of architectural drawings in large databases and generative design recommendations to predictive intervention planning for life extension, structural risk mitigation, and multi-agent optimization of built systems. AiDAPT Lab is located at the Faculty of Architecture and Built Environment at Delft University of Technology and is directed by Charalampos P. Andriotis and Seyran Khademi.