I primarily adopted a combination of experimental and numerical simulation methods to delve into the mechanisms of liquid film formation and evolution, spray atomization and combustion processes, as well as the development and utilization of low and zero-carbon fuels. I have amassed extensive knowledge and experience in multiphase flow and spray analysis, mathematical modeling, and numerical simulation.

Utilizing advanced optical diagnostic techniques such as PIA, PIV, LDSA, Mie Scattering, RIM, and Schlieren, I have been able to precisely acquire critical data on flow fields, droplet size distribution, and velocity. Additionally, I am proficient in using software tools like Fluent, Converge, Python, Matlab, and Simulink, which have been instrumental in simulation analysis, parametric studies, optimization designs, and economic evaluations.

Currently, I am focusing on the application of deep learning models for the prediction of spray and fuel adhesion, showcasing my passion and dedication in interdisciplinary research. Beyond my specialization, I contribute to the research of dynamic control in high-mobility emergency rescue vehicle dynamics. I have published 7 peer-reviewed articles in reputable journals, include the best paper award at the top international conference SAE/pel, and published 1 invention patent and 5 utility model patents.

In addition, I am a reviewer of the International Journal of Automotive Manufacturing and Materials, and a member of the Japan Society of Mechanical Engineers.  My career aspiration is to integrate traditional computational fluid dynamics (CFD) software with practical engineering applications, providing advanced simulation products for spray phenomena in the engineering field.

Mechanisms of liquid film formation and evolution, spray atomization and combustion processes, as well as the development and utilization of low and zero-carbon fuels.