Publications & Research
Validated methodologies published in international journals, presentations at leading aerospace and aeroelastic forums, and novel approaches bridging high-fidelity and rapid analysis.
Published Research
A methodology combining quasi-3D aerodynamics with reduced structural models and multi-objective optimisation, achieving 1–2% improvements in maximum lift coefficient while reducing computational time to approximately 25 minutes per design.
A framework enabling rapid wing twist optimisation through aerodynamic databases and beam-stick structural models, reducing static coupling time from 60 hours to under 1 second, with automated optimisation and industrial integration at Airbus.
Research Areas & Expertise
Current focus includes machine learning for aerodynamics, store separation analysis, aerothermal capabilities, and aeroservoelastic modelling.
Academic Partnerships
Cranfield University and University of Bristol.