Key details
Dr Modupe Sobowale
Lecturer in Engineering and Built Environment
Dr Modupe Sobowale is a Lecturer in Engineering and Built Environment at the University of Greenwich, Faculty of Engineering and Science. Her research focuses on developing AI-enabled digital engineering solutions to enhance the resilience, sustainability, and intelligent lifecycle management of buildings and urban infrastructure. Operating at the crossroads of engineering, digital technology, and socio-technical systems, she integrates artificial intelligence (AI), digital twins, Building Information Modelling (BIM), systems engineering, and data-driven analytics to address intricate challenges within the built environment.
She utilises a systems-based approach to analyse the relationships between infrastructure, people, technology, and governance. By integrating engineering principles with socio-technical perspectives, she develops intelligent decision-support frameworks aimed at enhancing infrastructure performance, occupant safety, regulatory compliance, and planning throughout the asset lifecycle. Her research focuses on AI-enabled digital twins to improve infrastructure resilience, sustainable practices, and climate-resilient infrastructure, facilitating effective management of buildings and urban systems amidst evolving environmental and operational conditions
Through interdisciplinary collaboration with academia, industry, government, and community stakeholders, she aspires to create innovative engineering solutions that effectively bridge technological advancement with societal requirements. Her research aims to contribute to the realisation of smart, safe, sustainable, and human-centred built environments, supporting national and international initiatives in digital transformation, infrastructure resilience, sustainable growth, and the development of future cities. By integrating advanced digital engineering with systems thinking and sustainability principles, she endeavours to inform policy, enhance infrastructure decision-making, and expedite the development of resilient urban environments that improve quality of life while addressing global challenges.
Responsibilities within the university
Module Leader
- BSc. Project and Professional Skills
- MSc. Building Stimulation and BIM
- MSc. Risk Management
Module Tutor and Contributor
- MSc. BIM and Digital Construction
- BSc. Management and Economics for the Built Environment
- MSC. Research Method
Supervision
- MSc. Dissertation (Built Environment Supervision)
Awards
Queen’s Merit Award - Associate Fellowship of the Higher Education Academy (AFHEA)
Recognition
An editorial reviewer for Q1 journals, served as international guest speakers, panellist and serving as a STEM ambassador. Likewise held consultancy and industry roles in the UK and abroad. Member of CIOB, APM, ARCOM, ABFE_UK, and Nima.
Research / Scholarly interests
Digital Engineering
- AI, Digital Twins and Digital Engineering
- BIM, IoT and Intelligent Asset Management
- Data-Driven Decision Support for Smart Buildings and Urban Infrastructure
Systems Engineering, Safety and Socio-Technical Resilience
- Socio-Technical Systems, Infrastructure Risk and Climate Resilience
- Occupant Safety, Building Performance and Regulatory Compliance
- Intelligent Construction, Project, and Facilities Management Across the Asset Lifecycle
Sustainability and Resilient Built Environments
- Climate-Resilient Infrastructure and Sustainable Urban Systems
- Water-Energy-Carbon Nexus and Resource Efficiency
- Circular Construction, Sustainable Materials and Policy for Net Zero
Recent publications
- Sobowale, M.B. (2025) Assessing Socio-technical Challenges of Implementing Predictive Digital Twins for Existing Housing and Cities in the UK. PhD thesis. Queens University Belfast. PhD Thesis. QUB
- Sobowale, M, Elghaish, F and Brooks, T (2025) Exploration of Socio-Technical Approach for Implementation of Digital Twins for Predictive Maintenance in the UK, In: Thomson, C and Neilson, C J (Eds) Proceedings of the 41st Annual ARCOM Conference, 1-3 September 2025, Abertay University, Dundee, UK, Association of Researchers in Construction Management, 169-178. 2025 ARCOM Proceedings
- Sobowale, M., Elghaish, F. & Brooks, T. A Systematic Review of Digital Twin as a Predictive Maintenance Approach for Existing Buildings in the UK. Proceedings e report, 2023. Firenze University Press, 1206-1218. A Systematic Review of Digital Twin as a Predictive Maintenance Approach for Existing Buildings in the UK - Firenze University Press. Modupe Sobowale - Firenze University Press