[WORK IN PROGRESS]
Selected project involvement is highlighted. Some of these projects have their own pages where more information is available while others are ongoing pending privileged reporting or publication. These recent projects have required code development in Python, the use of non-trivial finite element technologies and machine learning type algorithms.
# Direct inverse material parameter identification using reduced order machine learning models and statistical inference.
# Image processing and registration on high frame rate explosion images.
# Characterisation of the Jones-Wilkins-Lee equations of state.
# Data structure manipulation and extension of ocean product algorithms for Harmful Algal Bloom detection.
# Long term thermodynamic and viscoplastic modelling of sea-ice.
# Machine Learning for ocean product infilling.
# Non-destructive test simulation workflow development in open-source Finite Element software.
# Modelling considerations for Dynamic Cone Penetration in soils.
# Radial Basis Function surrogates for cheaper flight envelope estimation.
# Modelling and design of an early gas leak detection system.