PhD research integrating climate-impact assessment and lifecycle analysis to develop next-generation technologies for net-zero aviation by 2050.
Fully funded PhD research applying artificial intelligence to railway systems, in collaboration with Network Rail and the University of Huddersfield’s railway research institute.
PhD research developing AI and data-driven methods to analyse aviation operations and assess environmental impacts, including contrails and non-CO₂ effects.
PhD research on assessing the safety, capacity, and efficiency impacts of integrating new aircraft concepts into air traffic management.
PhD research on foundation models, self-supervised learning, and multimodal perception for automotive imaging radar and 3D scene understanding.
PhD research on quantifying the benefits of wayside detection for railway maintenance, infrastructure reliability, operational risk, punctuality, and costs.
