Profile
Nigel is a mathematician working in novel forms of evolutionary machine learning and adversarial AI, as applied to engineering and medicine. In the AI XPRIZE (2016-2021) his work led to his team (MachineGenes) being listed in 2020 as one of the ten global semi-finalists. His work has also been showcased at the United Nations’ “AI for Good” Global Summit in Geneva, Switzerland in 2019. He is one of Australia’s Spitfire Memorial Defence Fellows.
In engine MRO his team has demonstrated that explicit physic-based digital twins of aviation engines can be constructed from tiny fragments of noise-polluted partial sensor data, capturing transient dynamics. This is achieved by making the digital twins evolve in simulation as if they were living organisms, to match the data generated from the engines.This is the result of a nine-year research project, with results to be published in 2023.
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