Nico Andres Thio

Nico’s project focuses on the field of Multi-fidelity Expensive Black-Box problems. This field encompases any industrial problem where assessing the performance of a product design can be expensive, such as when building a prototype of a battery or plane, but other sources of information of this performance are available, which are both cheaper and less accurate.  The field aims to provide techniques either to accurately explain how decisions affect design outcome, or to find the best decisions to optimise design outcomes. Nico’s previous work analysed algorithms which focus on constructing networks (such as roads connecting cities) which are resilient to disaster failure, as well as creating models to simulate the behaviour of pedestrians under panic during evacuations in emergency scenarios.

Back to our people