Mr. Lijia Fang | Ammonia Combustion | Best Researcher Award
Mr. Lijia Fang | Sophia University | Japan
Mr. Lijia Fang is a Ph.D. student in the Department of Science and Engineering at Sophia University, Japan, specializing in AI-driven combustion control and sustainable fuel systems. His research integrates artificial intelligence with combustion engineering to optimize fuel efficiency and minimize emissions. Currently, his work focuses on exploring the synergies between ammonia and ethanol fuels to enhance clean combustion performance and significantly reduce nitrogen oxide emissions. He has completed a major research project titled “Influence of Pre-Chamber Nozzle and Main Chamber Geometry on Ammonia Combustion: A Combined Experimental and Predictive Study” and has published two research papers, including one under review in Applied Thermal Engineering and another published in Energies (2024). His studies employ machine learning algorithms to predict in-cylinder combustion pressure and validate ammonia–oxygen combustion models in constant-volume chambers. Mr. Fang has contributed to seven patents, demonstrating his strong involvement in practical innovation, particularly in electronic systems and control circuits. His research aims to accelerate the transition toward low-carbon, high-efficiency combustion systems by integrating AI-based optimization methods with experimental validation. With 2 publications indexed and cited by 6 documents, he currently holds an h-index of 2, reflecting his emerging impact in the field of sustainable combustion and energy technologies. Through his interdisciplinary expertise in artificial intelligence, mechanical design, and environmental sustainability, Mr. Fang continues to advance cutting-edge research that supports the global pursuit of cleaner and more efficient energy solutions.
Profiles: Scopus | Orcid
Featured Publications
Fang, L., Singh, H., Ohashi, T., Sanno, M., Lin, G., Yilmaz, E., Ichiyanagi, M., & Suzuki, T. (2024). Effect of machine learning algorithms on prediction of in-cylinder combustion pressure of ammonia–oxygen in a constant-volume combustion chamber. Energies, 17(3), 746. https://doi.org/10.3390/en17030746