My research uses artificial intelligence to detect water pollution by analysing DNA traces left by aquatic species. Instead of relying on visual signs or costly expert identification, supervised machine learning reads species patterns to determine water quality. The method is faster, cheaper, and more accurate than traditional analysis.

This research redesigns long wind-turbine blades for low-wind-speed sites by shifting structural strength from the internal spar to the aerodynamic shell. The new “eggshell-like” design reduces bending under the blade’s own weight, requires less material, and lowers costs—helping make wind power cheaper than fossil fuels without relying on political action.

Electricity access doesn’t always translate into real development benefits. In Timor-Leste, “100% access” still leaves hospitals dark at night. A review of global evidence shows that over a third of electrification outcomes are neutral or negative. This research explores barriers that limit electricity’s impact to inform better policy and community support.

This research examines the ecological and social feasibility of rewilding Britain, one of the world’s most nature-depleted countries. By modelling where native species could thrive and surveying public attitudes, the project aims to create a national roadmap for restoring lost biodiversity and rebuilding Britain’s fragmented ecosystems.

This research challenges overly conservative engineering methods used to prevent wing buckling in aircraft. By developing more advanced prediction techniques, the project aims to reduce unnecessary structural weight while maintaining safety. Lighter aircraft burn less fuel, offering a practical path toward more sustainable aviation without compromising performance.