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.
Ge, Xufei and Given, Martin and Stewart, Brian G.; (2022) Determining accelerated aging power cable spatial temperature profiles using Artificial Neural Networks. In: 2022 IEEE International Conference on High Voltage Engineering and Applications (ICHVE). 2022 IEEE International Conference on High Voltage Engineering and Applications (ICHVE) . IEEE, CHN, pp. 1-4. ISBN 9781665407519
![[up]](/style/images/multi_up.png)
Up a level