Sahar Bakhshian

WEBSITE(S)| SEEM Lab

SURF Mentoring

Potential projects/topics: The potential project will focus on geologic carbon storage, a promising solution for mitigating climate change. In our research group, we explore the physics of multiphase flow in subsurface geologic formations through computational modeling of fluid flow, microfluidics experiments, and data analytics. You can find a summary of our active research topics here: https://seem.rice.edu/research/

Potential skills gained: Computer modeling of fluid flow, Computer coding, Machine learning

Required qualifications or skills: Students with strong background in mathematics and physics, Preferably in Engineering or Computer Science majors

Direct mentor: Faculty/P.I., Post-doctorate

Research Areas

Her primary research concerns analytical and computational modeling of multi-physics problems as well as applying data science to leverage problems in energy and environmental context, with a focus on geologic carbon storage. Her work also involves leveraging physics-based pore- and macro-scale multiphase flow simulations and data-driven algorithms and tools for the characterization of CO2 footprint and leakage risk assessment during the geological storage of CO2.