This research develops electrostatic artificial muscles for underwater robots inspired by the movement of fish and sharks. Unlike noisy propeller-driven systems, these soft actuators enable quieter, more efficient swimming that minimises disturbance to marine ecosystems, offering a promising alternative for environmental monitoring, reef surveys, and underwater infrastructure inspection.

This research investigates how cicadas generate extraordinary suction to feed on water inside plant xylem under extreme negative pressure. Using fluid measurements and micro-CT imaging, it uncovers the insect's unique pumping mechanism, offering insights into plant hydraulics while inspiring new designs for miniature medical pumps and microfluidic technologies.

This research applies fluid mechanics, numerical simulations, and machine learning to model the brain’s waste-clearance system during sleep. By investigating how fluid moves through brain tissue and how aging or injury affect this process, the work aims to identify strategies for preventing or slowing neurodegenerative diseases such as Alzheimer's.

This research investigates why supersonic aircraft engines fail under turbulent atmospheric conditions. Using high-performance supercomputer simulations, the study models airflow disruptions around supersonic engines to identify early warning signs of instability. The work aims to improve engine reliability and help revive safe, efficient supersonic passenger air travel.