Dr Mahmud Tantoush leads the [CPU]Ai atelier, where his teaching focuses on computational design, urban analytics, and the integration of AI into design processes. With several years of experience teaching complexity-based computational approaches to architectural and urban design, he embeds his published research and theoretical contributions on sustainable futures into both teaching and supervision. He also leads the Master of Architecture (Part 2) design studio modules (Studio 1, 2 and 3), where students critically explore the future of the profession and collaborate with nationally leading practices.
His research as part of the ARO/[CPU]Lab focuses on how cities can be analysed and designed in more sustainable ways, combining complexity theories and modelling towards sustainable futures using new methodologies including AI Machine Leaning and Urban Big Data. Mahmud has been involved in funded research projects funded by Horizon Europe and UKRI, and he supervises PhD students working on urban analytics and sustainable future cities.
