Miguel is a PhD student in the Autonomous Systems and Connectivity Division at the University of Glasgow.
His research focuses on investigating the composability of digital twins to analyse the complex systems of systems within transport infrastructure networks. The goal is to support low-cost and scalable decarbonisation strategies and enhance the resilience of transport networks. In addition to digital twins, the aim is to address this problem with the use of federated learning, enabling multimodal data fusion and facilitating collaboration across diverse stakeholders while preserving data privacy and intellectual property.