About
My research focuses on developing validation methodologies to build confidence in predictions of computational models. I study image decomposition (or orthogonal decomposition) techniques and statistical methods to compare outcomes from simulations, for example displacement fields, with full-field measurements. These techniques are applicable to a variety of disciplines and sectors where data can be represented as a map; currently, I am concentrating on applications in aerospace and nuclear engineering. The challenges I am addressing are the standardisation of the validation methods, effective use of the measured data in the validation process and interpretation of the validation outcomes to support decisions based on the predictions of the computational models.
Prizes or Honours
- The Chief Scientist’s Award (National Nuclear Laboratory, 2021)