Graduate Research Assistant

The petitioner proposes to continue developing state-of-the-art technologies targeting improvements in renewable energy utilization and efficiency. His work focuses on minimizing fossil fuel use through artificial intelligence and machine learning applications to solve advanced problems in materials discovery and high-energy physics.

The petitioner proposes to develop data-driven algorithms for improving the prediction and modeling of sustainable energy systems. This work focuses on advancing renewable energy technologies and improving environmental sustainability through computational research at a U.S. university.

The petitioner proposes to develop advanced mathematical models, simulations, and optimization techniques to build more efficient, economical, and sustainable chemical processes. His work specifically focuses on evaluating the techno-economic feasibility of next-generation power systems, including supercritical CO2 cycles and hydrogen-based storage systems. This endeavor aims to support clean energy generation and storage to modernize the U.S. energy grid and reduce environmental impact.

The petitioner proposes to develop novel models for investigating fuel composition and combustion characteristics to improve the efficiency of internal combustion engines, gas turbines, and burners. Her work focuses on reducing the formation of pollutants such as NOx and CO2 while advancing solar panel installation and renewable energy technologies.