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.
Zhu, Yun-Peng and Yuan, Jie and Lang, Z. Q. and Schwingshackl, C. W. and Salles, Loic and Kadirkamanathan, V.; (2021) The data driven surrogate model based dynamic design of aero-engine fan systems. In: Proceedings of the ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers(ASME), Virtual, Online. ISBN 978-0-7918-8422-5
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