FLUID MECHANICS & SCIENTIFIC COMPUTING
Research
Combining theoretical analysis, numerical simulation, and data-driven modeling to study structures, transport, and control in complex fluid systems.
01Rotating and stratified turbulence
Investigating how spanwise rotation and density stratification affect wall turbulence, including the analogy between their body forces and its range of validity. Reduced models and numerical simulations help explain large-scale flow structures and their roles in momentum and scalar transport.
02Thermal convection and flow control
Studying large-scale circulation, flow reversal, and heat transfer in buoyancy-driven flows. Sidewall temperature control and thermal boundary conditions provide routes to flow regulation, while perturbation analysis clarifies baroclinic torque and buoyancy approximations in low-Mach-number flows.
03Transport in porous media and multiphase flows
Developing coupled models of flow, heat transfer, and solid conduction in porous media, with attention to anisotropy and scaling laws in forced and natural convection. Related work examines multiphase flows, droplet breakup, and multiphysics processes in reactors.
04Reduced-order modeling and scientific computing
Developing efficient flow simulations through reduced-order models that combine dynamic mode decomposition, Galerkin projection, and parametric interpolation. Further interests include global linear stability analysis, curvilinear mesh generation, and data-driven modeling of multiphysics problems.