In order to understand fuels for making cleaner and more efficient combustion, my research interests are in the area of combustion chemistry, chemical kinetics, and laser diagnostics of fuels. To this end, I use rapid compression machine and shock tubes experiments, as well as modeling, to understand the ignition delay time, ignition temperature, and the emission formation of additives in different fuel mixtures. In addition to the experiments, I use the machine learning on the mixtures to better understand the chemical kinetics and reaction rate of combustion.
Currently, I'm researching a new potential mixture of fuel additives (Nano-fuels), which is a fuel suspended with energetic oxygenated Nano-particles that can alter the heat transfer and combustion. My goal is to understand the ignition delay time and the homogeneity of the mixture in the rapid compression machine chamber. Nano fuel is a strong candidate for heavy applications in the future because it has a positive effect on decreasing pollutants such as NOx, Co2, and HC.