Nils joined the Centre for Transport Studies (CTS) and the Transport Systems and Logistics Laboratory (TSL) as a PhD student in October 2014 to investigate how interdependencies between different urban infrastructure systems affect their resilience against disruptions, such as extreme weather events. Nils combines methods from the fields of reliability engineering, network theory and operations research to develop a novel modelling and simulation tool that captures various types of interdependency at the network and component levels. The results of this project can help infrastructure providers and government authorities to devise resilience strategies that take into account the vulnerabilities arising from cascading failure, network congestion, delayed recovery and other interdependency effects.
Nils research is funded by the EPSRC Centre for Doctoral Training (CDT) in Sustainable Civil Engineering and the Climate-KIC initiative. He is also affiliated to the Centre for Systems Engineering and Innovation (CSEI) and has carried out consultancy work with Imperial Consultants (ICON).
Nils holds an MPhil in Engineering for Sustainable Development from Cambridge University and a BSc in Industrial Engineering (Wirtschaftsingenieurwesen) from Karlsruhe Institute of Technology (KIT). He has also completed a minor degree in Applied Studies of Culture and Society at KIT and was a visiting student at Istanbul Technical University.
et al., Evaluation of port disruption impacts in the global liner shipping network, Journal of Shipping and Trade, ISSN:2364-4575
Goldbeck N, Angeloudis P, Ochieng W, Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models, Reliability Engineering and System Safety, ISSN:0951-8320
Goldbeck N, Angeloudis P, Ochieng W, A Dynamic Network Flow Model for Interdependent Infrastructure and Supply Chain Networks with Uncertain Asset Operability, International Conference on Computational Logistics
Goldbeck N, Angeloudis P, Ochieng W, 2016, Analysing the resilience of metro systems under consideration of interdependencies: A combined Dynamic Bayesian Network and network flow approach, 14th World Conference on Transport Research (WCTR)