The development of the next generation of propulsion and power-generation devices required enhanced understanding of the multiphysics processes governing them. I was focused on developing data-driven, physics-constrained models to provide high-fidelity computational tools for flow prediction and analysis.
Advances in both computational and experimental methods had generated significant high-resolution fluid dynamics data. However, the tools utilized for model development had not harnessed the potential of this data. Rather than using data to augment and drive model development, it was often only used for a posteriori validation. I was interested in assimilating high-resolution data into computational models to increase simulation predictive capabilities and reduce computational cost.
- AI Mentor: Venkat Raman; Aerospace Engineering, Mechanical Engineering
- Science Mentor: Steven Ceccio; Mechanical Engineering, Naval Architecture and Marine Engineering
- Science Mentor: Christopher Limbach; Aerospace Engineering
- Additional Mentor: Roger Ghanem; Civil Engineering