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.
He, Hongmei and Watson, Tim and Maple, Carsten and Mehnen, Jörn and Tiwari, Ashutosh; (2017) A new semantic attribute deep learning with a linguistic attribute hierarchy for spam detection. In: 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, Piscataway, NJ. ISBN 9781509061822
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