Mahmud Tantoush is a Lecturer at the Manchester School of Architecture and a researcher with the Complexity, Planning and Urbanism Lab (CPU-Lab). He leads the Complexity, Planning and Urbanism (CPU) Master of Architecture Year 1 studio, and teaches Advanced Digital Design across the school and BA Architecture Year 2. His teaching areas of expertise are complexity theory-based computational design, Advanced 3D Modelling, BIM, GIS, parametric Design, and programming applications in architecture.

His current research interests revolve around analysing and linking Urban Dig Data and urban form to better understand how cities are experienced and used across different spatial and temporal scales. Other research interests include smart cities; crowdsourced urban data; geographic data science; urban morphology; and complexity theories.

Languages

English/Arabic

Projects

Selection of research and computational design work

An album involving examples of student and personal computational design projects and research.

Research

Book Chapters

Sengupta, U., Cheung, E., Solomou, S., Zigure, S., Tantoush, M., Bassanino, M., Hyde, R., 2021. 'Complex Urban Futures: Design Science for Flux Territories'. In Design Studio Vol. 2: Intelligent Control Disruptive Technologies, Riba Publishing.

Tantoush, M., Toshani, N., 2021. 'The (Re)Configuration of Urban Space in Tripoli, Libya: Territorial Planning, Power Struggles and the City Pre- and Post-2011'. In Architecture of the Territory: Constructing a national narrative.

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.

Tantoush, M., Zigure, S., Solomou, S., Bassanino, M., Sengupta, U., 2019. 'Participatory Back Casting for Desired Co-Produced Mobility Futures: A Case Study of Greater Manchester', Data & Policy Journal.

Conference Papers

Tantoush, M., Sengupta, U., Han, L., 2021. 'Analysing Urban Form and Activities for Smarter Cities through Crowdsourced Urban Data', 2021 International Symposium of Resilient City, Bejing, China, 3/11/2021 - 4/11/2021.

Zigure, S., Tantoush, M., Solomou, S., Sengupta, U., 2021. 'DEAS Network Plus Transportation and Mobility Projects 2020 - MaaS Prototype for TfGM', DEAS Research Seminar Series - transportation and mobility, Exeter, UK.

Zigure, S., Tantoush, M., Solomou, S., Sengupta, U., 2021. 'Participatory Backcasting for Achieving Desired Co-produced Mobility Futures: A Case Study of MaaS in Greater Manchester', Data for Policy 2021 special track Systemic engagement: Mobility as a Service (MaaS) and the design challenge of inclusion, sustainability, and data ownership, London, UK.

Tantoush, M., Zigure, S., Solomou, SOLON., Sengupta, U., 2021. 'Participatory Backcasting for Achieving Desired Co-produced Mobility Futures: A Case Study of MaaS in Greater Manchester', NEST Conference 2021: Sustainability Transition pathways, Sofia, Bulgaria.

Tantoush, M., Sengupta, U., 2021. 'Urban Morphology in the Big Data Age: Exploring Aspects of Urban Form through Crowdsourced Urban Data', International Seminar on Urban Form: ISUF, Glasgow, Scotland.

Tantoush, M., Sengupta, U., Macbeth, A., Norfiqri, R., 2019. 'Big Data and City Infrastructures: Exploring Airbnb's Digital Urban Disruption', Healthy Cities 2019: Urbanisation, Infrastructures & Everyday Life, Manchester, UK.

Zigure, S., Solomou, S., Cheung, E., Sengupta, U., Hyde, R., Bassanino, M., Tantoush, M., 2019. 'Exploring Concerns about Autonomous Vehicles in the Public Realm', Healthy Cities 2019: Urbanisation, Infrastructures & Everyday Life, Manchester, UK.

Tantoush, M., Sengupta, U., Cheung, E., Solomou, S., Zigure, S., 2019. 'Location-Based Games as Crowd-Sourced Geographic Information for Urban Planning', AESOP 18th Meeting TG Planning & Complexity: Games for Cities, Lisbon, Portugal.

Solomou, S., Zigure, S., Sengupta, U., Cheung, E., Tantoush, M., Hyde, R., 2019. 'Simulating Personal Rapid Transportation: A game to determine the advantages of a Connected Autonomous Vehicle (CAV) system over the current Taxi system', AESOP 18th Meeting TG Planning & Complexity: Games for Cities, Lisbon, Portugal.