Kunihiko Taira, Ph.D.

Kunihiko Taira, Ph.D., is a Professor in the Department of Mechanical and Aerospace Engineering at the University of California, Los Angeles. His research focuses on the analysis, modeling, and control of fluid flows using high-performance computing, integrating concepts from fluid mechanics, dynamical systems theory, network science, and data science. Taira's work is supported by various awards and recognitions, including the ONR Young Investigator Award and the AFOSR Young Investigator Award. He is affiliated with the Taira Lab, which specializes in computational fluid dynamics. His professional contact information includes an email address and phone number, and his profile page provides additional details about his research and publications.

Kunihiko Taira is a researcher at the University of California, Los Angeles, specializing in Fluid Mechanics. His work focuses on the analysis and simulation of fluid flows, with an emphasis on turbulent flows, immersed boundary methods, and machine learning applications. Taira has published extensively on topics such as modal analysis of fluid flows, super-resolution reconstruction of turbulent flows, and computational fluid dynamics. His research also explores the use of deep learning and probabilistic neural networks for fluid flow surrogate modeling and data recovery. Additionally, he investigates nonlinear aerodynamics, separated flows, and network-theoretic approaches to vortex dynamics.