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Immanuel Koh is an Assistant Professor of Architecture at the Singapore University of Technology and Design (SUTD), where he directs Artificial-Architecture, an interdisciplinary research laboratory focused on the intersection of design and artificial intelligence. His work spans multiple areas, including architectural information management, urban planning, and machine learning in design. Prior to joining SUTD, he was based at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, where he conducted transdisciplinary research at the intersection of computer science and architecture. Koh's doctoral research explored the formal basis of machine-learnable architecture and resulted in the formulation of a new design theory called Architectural Sampling, which won him the EPFL Thesis Prize. He has published widely on topics such as creative AI, deep learning, and sustainable design, and has exhibited globally, including at the Venice Architecture Biennale and the Victoria & Albert Museum in London. Koh has also taught at prestigious institutions like the Architectural Association in London and Harvard GSD. He is a co-founder of the Neural Architecture Group and actively collaborates with industry leaders on innovative design solutions.
This applies to PhD programs in Architecture and Sustainable Design (ASD), Engineering Product Development (EPD), Engineering Systems and Design (ESD), Information Systems Technology and Design (ISTD), Science, Mathematics and Technology (SMT), and Humanities, Arts and Social Sciences (HASS).
Applies to Master of Engineering (Research) and Master of Science in Technology and Design programs.
Specific to Master of Architecture (ASD department).