Mahmud Tantoush is a researcher with the Complexity, Planning and Urbanism Lab (CPU-Lab) and Associate Lecturer at the Manchester School of Architecture. His current research analyses and links Volunteered Geographic Information and other forms of urban data to understanding how cities function in relation to urban morphology on different spatial and temporal scales. His interests include computational design; smart cities; big data; geographic data science; urban morphology; and complexity theories.

Academic and professional qualifications

(2018 -)  PhD in Architecture, Manchester School of Architecture, Manchester Metropolitan University, UK. ‘Urban Morphology in the Big Data Age: Aspects of Urban Form through Crowdsourced Urban Data’

(2020) Fellow of Higher Education Academy, Manchester Metropolitan University, UK

(2016 - 2018) MArch (RIBA Part 2), Manchester School of Architecture, combined award between University of Manchester & Manchester Metropolitan University, UK

(2012 - 2015) BArch (Hons), Lincoln School of Architecture, University of Lincoln, UK

(2012) Foundation pathway to Architecture, London Southbank University, UK

Languages

English/Arabic

Research

Research Interests

(2020 - ) Research Associate: ‘Maas prototype for TfGM,’ - DEAS+ (Digitally Enhanced and Advanced Services), ESRC: The aim of the project is to develop a MaaS prototype for Greater Manchester considering everyday user preferences.

(2020) Research Associate: ‘SASSI’ (A Systems Approach to Sustainable Sanitation Challenges in Urbanising China) - TaSE, NERC: The aim of this project is to enhance our understanding of the complex human-environment interactions in sanitation systems and their sustainability outcomes in rapidly developing countries.

(2018 - 2019) Research Associate ‘SynchroniCity’ - H2020: Project connecting 48 European partners including Manchester City council and CPU-Lab aimed to solve urban challenges using Internet of Things (IoT) and data technologies

Journal Articles

Sengupta, U., Tantoush, M., Bassanino, M., Cheung, E., 2020. 'The Hybrid Space of Collaborative Location-Based Mobile Games and the City: A Case Study of Ingress', Urban Planning, 5 (4), pp. 358-370.