Research

Our research focuses on building computational tools and conducting large-scale field experiments to reduce the environmental impacts of energy systems.

Our current work focuses on three fields of research. Firstly, we test and develop methodologies and technologies to detect and quantify greenhouse gas emissions, with a particular focus on methane and carbon dioxide. Secondly, we use mathematical modeling and optimization to analyze and optimize the deployment, design, and operation of clean energy technologies on the system and process scale. Thirdly, we develop life-cycle assessment (LCA) tools and analyses to quantify the environmental impact of conventional and renewable fuels in the transportation and energy sectors.

Our research methods include computational modeling and optimization, life cycle assessments (LCA), machine learning, and computer vision.