My research aims to enhance the efficiency of internal combustion engines and promote sustainable energy use through experimental and computational approaches in engine combustion analysis and thermal management technologies. Specifically, I am focused on the combustion characteristics of ammonia/gasoline fuel mixtures and the advancement of engine cooling techniques that utilize flow boiling. This work seeks to deepen our understanding of combustion dynamics and thermal performance within engines. The main research themes include: Combustion Analysis and AI Predictive Models: Analyzing the combustion behavior of ammonia and gasoline fuel mixtures, I am developing predictive models for combustion parameters using AI algorithms. This research aims to optimize combustion conditions to improve engine efficiency. PIV Measurements of In-Engine Gas Flow: Utilizing Particle Image Velocimetry (PIV), I visualize the gas flow within engines to analyze factors such as combustion efficiency and the impact of swirl motion. This technique is essential for understanding fluid dynamics in the combustion chambers of compression ignition engines. Enhancing Thermal Performance of Cooling Systems: By investigating the heat transfer effects of flow boiling in engine cooling channels, I am working to advance cooling technologies. This research is expected to contribute to improved engine efficiency and prevention of overheating.