Ammonia and hydrogen are promising energy carriers due to their potential for carbon-free energy conversion and compatibility with existing infrastructure. However, ammonia exhibits low reactivity and introduces challenges related to NOₓ formation and toxic intermediate species.

We investigate the fundamental reaction pathways governing ammonia and ammonia–hydrocarbon combustion using experiments and detailed kinetic modeling. Particular focus is placed on ignition, flame stabilization, pollutant formation, and interactions with conventional fuels. These studies support the development of combustion strategies that achieve high efficiency while minimizing harmful emissions.

Sustainable aviation fuels are essential for decarbonizing aviation, yet their diverse feedstocks and compositions introduce uncertainty in combustion behavior and emissions. Non-CO₂ effects, including soot formation and contrail impacts, are particularly important.

We develop detailed reaction models and data-driven frameworks to predict SAF combustion characteristics and emissions. These models are integrated with computational fluid dynamics simulations to evaluate fuel–engine interactions and guide the design of cleaner aviation systems.

The deployment of renewable fuels depends not only on production technologies but also on supply chain design, infrastructure, and policy constraints. We develop integrated frameworks combining techno-economic analysis, life cycle assessment, and system optimization to evaluate fuel pathways under realistic conditions.

This work supports the design of resilient, cost-effective energy systems tailored to specific regions and applications.

The rapid growth of artificial intelligence and high-performance computing is driving increasing demand for large-scale data centers with high power consumption and heat generation. Modern graphic processing units (GPUs) operate at extremely high power densities, creating significant thermal management challenges that exceed the capabilities of conventional air and indirect liquid cooling technologies.

In this context, direct immersion cooling, in which electronic components are submerged in a dielectric liquid, is emerging as a promising thermal management approach. Our research investigates the fundamental thermal transport phenomena governing immersion cooling through advanced optical diagnostics and numerical modeling. Using phase-shift interferometry imaging, we experimentally visualize and quantify heat transfer characteristics under various operating conditions. The effects of liquid properties, flow behavior, and power density on cooling performance are systematically evaluated to support the development of efficient and reliable next-generation cooling technologies for high-performance computing systems.