Theme 1
AI-enabled infrastructure resilience
Developing data-driven and mechanics-informed methods for multi-hazard civil infrastructure assessment, resilience evaluation, and maintenance decision support.
Research Agenda
A 3-5 year research direction built around REF-relevant outputs, UKRI/EPSRC and Innovate UK fit, postgraduate teaching, and responsible industry collaboration.
Theme 1
Developing data-driven and mechanics-informed methods for multi-hazard civil infrastructure assessment, resilience evaluation, and maintenance decision support.
Theme 2
Combining sensing, model updating, BIM/GIS integration, point-cloud reconstruction, and simulation to create asset-level and system-level infrastructure evidence.
Theme 3
Using laboratory and field-test workflows to study robotic perception, inspection, construction-process coordination, and research-led teaching in digital construction.
Theme 4
Translating research methods into transferable workflows for asset management, predictive maintenance, infrastructure safety, and digital engineering practice.
The agenda is designed to support competitive research proposals, REF impact narratives, and industry-facing innovation.
AI for engineering systems, resilient infrastructure, digital twins, sensing, construction productivity, and data-informed decision support.
Applied research demonstrators, digital workflow adoption, asset-management productivity, and knowledge transfer with infrastructure and built-environment partners.
International collaboration around sustainable infrastructure, circular construction, automation, monitoring, and data-driven resilience.
How the agenda connects to existing public evidence.