Completed projects (2020 onwards)

This thesis develops and tests a way to read emergency department (ED) performance indicators as direct evidence of resilient performance during disruptions, rather than as disconnected “better or worse” numbers. It focuses on how concrete work adaptations during COVID-19— like new isolation protocols, rapid assessment areas, and point-of-care testing—changed ED performance, and how those changes can be systematically translated into resilient performance profiles and quality trade-off narratives.

This study develops a systematic framework for dynamic and integrated safety–security barrier management in chemical process industries, addressing multi-dimensional risks—including cyber-to-physical attacks in Industry 4.0—by combining risk modeling, uncertainty analysis, optimization methods, and multi-source data to support cost-effective, adaptive barrier assessment, maintenance, and improvement.

The work confirmed that safety has multiple values attached to it, that these vary between different organisations, sectors and countries, and that they can change over time. It found that health values have gained the most attention to date (but physical health, rather than mental health) followed by economic and environmental values. The figure below shows the relative attention the different values have received in the literature and questionnaire. 

This project develops integrated risk management strategies to enhance the safety of ammonia-powered ship engine rooms, combining socio-technical system analysis and quantitative risk assessment to support the safe adoption of ammonia as a sustainable maritime fuel.

This study proposes a novel quantitative framework to evaluate the resilience of pipelines against corrosion, modeling Pipeline Service Resilience through absorption, adaptability, and restoration capacities while incorporating corrosion growth, inspection planning, and repair strategies using dynamic Monte Carlo simulation.

This study presents a roadmap for transitioning to Dynamic Risk Management (DRM) in high-consequence industries, leveraging existing methodologies, cloud-based technologies, and industry needs to better manage uncertainties in modern socio-technical systems and improve safety performance beyond traditional risk-based approaches.