This research investigates the safety of hydrogen vehicles and refuelling infrastructure using advanced computer simulations of fires and explosions. Findings suggest protective barriers can reduce blast pressures by 60–90%. The work provides evidence for future safety standards, helping enable wider adoption of hydrogen transportation while protecting people, property, and communities.

This research explores how artificial intelligence systems can continue learning without forgetting previously acquired knowledge. Instead of erasing old information, the proposed method compresses knowledge into more efficient representations, allowing AI systems such as self-driving cars to adapt safely to new environments while avoiding dangerous performance failures during learning.

This research examines how leadership behavior influences high-stakes decision-making in maritime operations. It highlights how human factors under pressure shape risk perception and outcomes, often more than technical systems. The study proposes a behavior-based decision framework to improve safety, efficiency, and cost-effectiveness in complex, high-risk environments at sea.

This research investigates zinc batteries as a safer, cheaper alternative to lithium batteries. By studying the microscopic passive layer formed between zinc and electrolyte, it identifies mechanisms that improve performance and prevent failure. The work aims to enable more reliable, ethical, and fire-safe energy storage technologies through detailed materials analysis.

This research focuses on improving the safety of software in critical systems like cars, medical devices, and aircraft. By combining mathematical verification with modeling and simulation, it aims to detect faults before deployment. The goal is to prevent catastrophic failures and ensure that life-critical technologies can be trusted.