Xuhui Lin

Position

Enrichment Student

Partner Institution

UCL

Bio

Xuhui Lin is a young researcher in sustainable construction and urban planning, currently pursuing an MPhil/PhD at the Bartlett School of Sustainable Construction, University College London. His research focuses on enhancing the resilience of urban transportation through the development of a graph dynamic system based on synchronization dynamics and field theory for urban road networks under flooding. Lin holds a Master’s degree from UCL with distinction and a Bachelor of Design in Architecture from the University of Sydney, achieving first-class honours. He has three years of experience as an algorithm engineer, developing advanced algorithms for urban planning and transportation systems. He holds multiple patents in spatial analysis and digital twin technology. Lin's technical expertise includes programming, 3D modelling, and interactive design, contributing to urban resilience and sustainability.

Research interests

Xuhui Lin's research at the Turing Institute focuses on the resilience of infrastructure networks, particularly in the context of network dynamics. His work explores how infrastructure networks behave under external shocks such as natural disasters and human attacks, with a special emphasis on the evolution of network synchronization and its impact on network resilience. Using an innovative interdisciplinary approach, Lin combines field theory and complex network theory to gain a new perspective on the dynamic properties of networks. He applies field theory to simulate and analyze the interactions between nodes in infrastructure networks and how these interactions change under external shocks. Additionally, Lin delves into the application of the Kuramoto model to analyze synchronization phenomena in infrastructure networks, investigating how network nodes achieve new synchronized states through their interactions, thereby affecting the overall functionality and resilience of the network. Lin's research not only uncovers the synchronization mechanisms of infrastructure networks in response to external shocks but also proposes methods to control and optimize network synchronization by adjusting network structure and optimizing node connections. This research direction provides new theoretical support and practical strategies for enhancing the resilience of infrastructure networks and managing disaster risks.