Yue is a Postdoctoral Research Assistant specialising in Infrastructure Risk Analysis. She mainly contributes to two research projects in the OPSIS Group. In the Horizon 2020 project, she collaborates with colleagues from seven prestigious European institutions, focusing on multi-hazard infrastructure risk assessment for climate adaption (MIRACA). Additionally, she is involved in the data & analytics facility for national infrastructure (DAFNI) project, aiming to enhance the long-term infrastructure planning in the UK. Her research pursuits are centred around the development of decision-support methods for sustainable and climate-resilient infrastructure development. Her work involves intricate examinations of interdependencies across multi-sectors encompassing water, energy, transportation, and telecom, with a focus on understanding the risks posed by climate change and the ensuing propagation of infrastructure failures.

Yue's keen interest lies in understanding complex interactions among human, infrastructure, and the environment, exploring their profound impacts on diverse socioeconomic aspects within the broader social-ecosystem. Prior to her current role, Yue completed her PhD in Environment Science, Policy, and Management at the Hong Kong University of Science and Technology. Her doctoral research particularly focused on modelling and optimising the integration of decentralised water technologies into urban networks, contributing significantly to water security and energy conservation. Her prior academic achievement also includes an MSc in Geo-information Science from the Chinese University of Hong Kong, demonstrating her experience and strong commitment to interdisciplinary research.


  • Multi-hazard infrastructure risk assessment for climate adaption (MIRACA); Data & analytics facility for national infrastructure (DAFNI).
  • Li, Y., Mo, W., Derrible, S., & Lu, Z. (2022). Integration of multi-objective spatial optimization and data-driven interpretation to direct the citywide sustainable promotion of building-based decentralized water technologies. Water Research, 222, 118880. doi: 10.1016/j.watres.2022.118880
  • Li, Y., Khalkhali, M., Mo, W., & Lu, Z. (2021). Modeling spatial diffusion of decentralized water technologies and impacts on the urban water systems. Journal of Cleaner Production, 315, 128169. doi: 10.1016/j.jclepro.2021.128169