Area of research
Organic Chemistry · Spectroscopy
Research interest
Research focused on Polygon mesh and Computational fluid dynamics, with related work in Airflow, Aerodynamics, Ozone. Notable publications include 'Meshing using neural networks for improving the efficiency of computer modelling', 'Modelling ozone disinfection process for creating COVID-19 secure spaces', and 'Predicting the airborne microbial transmission via human breath particles using a gated recurrent units neural network'.
Predicting the Near-Optimal Mesh Spacing for a Simulation Using Machine Learning
Automation of the meshing process of geological data
Meshing using neural networks for improving the efficiency of computer modelling
The impact of a year in industry on academic outcomes in higher education (engineering)
Generating Near-Optimal Meshes Using Green AI
Predicting the airborne microbial transmission via human breath particles using a gated recurrent units neural network
Modelling ozone disinfection process for creating COVID-19 secure spaces
Self-mapping radio maps for location fingerprinting
Design optimisation using computational fluid dynamics applied to a land–based supersonic vehicle, the BLOODHOUND SSC