My research interests are in systems integration and innovation in built infrastructure. The vision is of radically improving the delivery of complex infrastructure projects. The ambition for the next five years is to identify risk in and build resilience into engineered systems by developing new ways to visualize and understand relationships between parts and the systemic consequences of changes in complex product systems using digital technologies.
Achieving the vision will need a team that brings mathematicians and computer scientists together with scholars of engineering to develop the basis for a new generation of tools and techniques for managing change through the life of complex product systems. I anticipate this bringing learning and innovation from other industries into construction; and exploring fundamentally new approaches that will utilise a range of machine learning, graph theory, systems dynamics and scenario planning techniques. I am working with the Laing O'Rourke Engineering Excellence Team to shape this trajectory of research on systems integration techniques to examine system verification methods with information models; and design in cyber security and system resilience from the beginning.
PhD students include
Ranjith Soman, Codifying information flow in ‘construction as a manufacturing process’ in BIM-enabled projects to support future automation, Third year doctoral student. http://www.imperial.ac.uk/people/ranjithks17
Shanjing (Alexander) Zhou “Systems engineering approach in off-site production” First year doctoral student. http://www.imperial.ac.uk/people/shanjing.zhou18
Saeed Tahmasebi Khademasadi, A systems engineering approach to off-site production: from requirements to customer solution, Laing O’Rourke, First year doctoral student (part-time).
Zhang, Ruoheng, Building capacity for systems integration in digitally enabled modular building (Dixon Award, RAEng Regional Award co-funding) - First year doctoral student, on interruption of studies.
Niki Avgeraki - economic potential of Small Modular Reactors (SMRs) in the UK energy mix. Second year doctoral student (co-supervisor) https://www.imperial.ac.uk/people/elpiniki.avgeraki15
Zhu, Hongmin (Steve), “Predicting failure rates in repairable and redundant infrastructure systems” (Dixon Award) - First year doctoral student.