Research

Our group studies nonequilibrium and unsteady turbulence occurring close to a surface using novel techniques driven by data and physics to enable highly-maneuverable vehicles and cheap, accurate turbulence predictions.

Machine Learning and Turbulence

Data-driven methods & Reinforcement learning

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Modeling for unsteady nonequilibrium flows

Turbulence modeling

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Reduced-order modeling

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Complex fluid-structure interaction with turbulent boundary layers

Effect of metamaterials on turbulent boundary layers & Ocean-wave/sea-ice interaction

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Mechanisms of near-wall turbulence

Coherent structures in wall-turbulence & Self-sustaining process of wall-bounded turbulence

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