The Department of Architecture reflects the multi and trans-disciplinary nature of architecture and urbanism, focussing on real-world problems. This includes the work of the Urban Design Studies Unit (UDSU), which is pioneering 'urban morphometrics', harnessing spatial data science, urban geo-data processing, and machine learning approaches to better understand cities, their form, functions and impact, with the ultimate goal of making them more resilient.
Explore some of this Open Access research from the Departments of Architecture.
Cavazzini, Anna and Minisci, Edmondo and Campobasso, M. Sergio; (2019) Machine learning-aided assessment of wind turbine energy losses due to blade leading edge damage. In: ASME 2019 2nd International Offshore Wind Technical Conference. American Society of Mechanical Engineers (ASME), MLT. ISBN 978-0-7918-5935-3
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