This research investigates near-wall turbulence, the chaotic fluid motion responsible for much of aerodynamic drag in transportation systems. Using high-resolution computational simulations and predictive modelling, the work aims to better understand turbulence near surfaces, enabling more efficient aerospace designs, reduced fuel consumption, and potentially major reductions in greenhouse gas emissions.

This research models blood flow in narrowed arteries and during catheterization using the Herschel–Bulkley fluid model. By simulating flow and drug dispersion, it identifies factors affecting unpredictability. These insights enable optimized treatments, improved medical device design, and better visualization for clinicians, ultimately enhancing safety and outcomes in cardiovascular care.

This research uses a traffic analogy to explain gas transport challenges in carbon dioxide electrolysis devices. Despite identical porosity, microstructural connectivity determines performance under flooding conditions. Computational modelling reveals how pathway structure affects efficiency, guiding design improvements that enhance CO₂ conversion into fuels and chemicals, supporting scalable and cleaner energy technologies.

Inspired by bird flight, this research investigates how wingtip feathers influence aerodynamics. Using bioinspired design, 3D-printed models, and wind tunnel experiments, it isolates the effects of feather separation, bending, and twisting. These insights improve aircraft stability, lift, and maneuverability, offering pathways to safer and more efficient aviation in turbulent environments.

This research improves aviation efficiency by using tiny vortex generators to control turbulent airflow over airplane wings. These structures reduce drag, save fuel, and cut carbon emissions—potentially eliminating 600,000 tons of CO₂ annually. It's a small aerodynamic change with a massive global impact for greener, more sustainable air travel.