Artistic visualization of fluid mechanics and biological motion
My research focuses on the fluid–structure interaction (FSI) of the Antarctic krill (Euphausia superba) and advanced flow diagnostic techniques. In particular, I investigate the force dynamics underlying the metachronal motion of krill pleopods, with emphasis on the partitioning of hydrodynamic forces into added-mass, viscous, and vortex-induced contributions. In parallel, my work examines turbulent flow dynamics over compliant and wavy surfaces, where surface deformation and curvature strongly influence separation, reattachment, and turbulence production. My research integrates high-fidelity computational fluid dynamics (CFD) with data-driven modal analysis techniques—such as Proper Orthogonal Decomposition (POD), Dynamic Mode Decomposition (DMD), and related spectral methods—to extract coherent flow structures and dominant dynamical mechanisms. Broadly, my research interests include turbulent flows, force-partitioning approaches, machine learning-assisted flow analysis, and physics-informed data-driven modeling for complex FSI systems.

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