Areas: Fluid Dynamics, Aerodynamics, Propulsion, Computational Fluids
Other topics of interest include integration of data-driven methods with high-performance computing to enhance flow predictions and to formulate reduced-order representations.
Our research is broadly in the area of theoretical and computational fluid mechanics. Some topics of current research include:
- Numerical methods for high-fidelity turbulent flow simulations in complex domains
- Turbulent mixing and combustion in high-pressure environments
- Fluid-structure interaction in compressible high-Reynolds-number flows
- High-performance computing on heterogeneous system architectures
- Application of machine learning to data assimilation
Research:
- High-order methods/solvers to handle complex domains with structured grids
- Turbulence and mixing in high-pressure conditions
- Accurate mixing estimates from large-eddy simulation (LES)
