World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
38
Citations
8262
World Ranking
2219
National Ranking
805

Overview

Kunihiko Taira is affiliated with the University of California, Los Angeles in the United States. Their research primarily focuses on engineering, with a strong emphasis on computational mechanics and aerospace engineering. Additional areas of study include statistical and nonlinear physics, computer vision and pattern recognition, and artificial intelligence.

The scientist's main research topics encompass fluid dynamics and turbulent flows, fluid dynamics and vibration analysis, model reduction and neural networks, aerodynamics and acoustics in jet flows, biomimetic flight and propulsion mechanisms, aerodynamics and fluid dynamics research, and computational fluid dynamics and aerodynamics.

Kunihiko Taira has contributed to the academic literature through numerous publications. Some recent notable papers include:

  • Assessment of supervised machine learning methods for fluid flows, 2020, Theoretical and Computational Fluid Dynamics
  • Probabilistic neural networks for fluid flow surrogate modeling and data recovery, 2020, Physical Review Fluids
  • Super-resolution analysis via machine learning: a survey for fluid flows, 2023, Theoretical and Computational Fluid Dynamics
  • On the formation of three-dimensional separated flows over wings under tip effects, 2020, Journal of Fluid Mechanics
  • Special issue on machine learning and data-driven methods in fluid dynamics, 2020, Theoretical and Computational Fluid Dynamics

Each of these papers deals with topics related to fluid dynamics, machine learning applications in flow analysis, and aerodynamic phenomena. Their collaborative efforts involve frequent coauthors such as Kai Fukami, C. Yeh, Jean Hélder Marques Ribeiro, Michael Amitay, and Vassilios Theofilis.

Kunihiko Taira's research has appeared repeatedly in several academic venues, including:

  • arXiv (Cornell University)
  • Journal of Fluid Mechanics
  • Theoretical and Computational Fluid Dynamics
  • Physical Review Fluids
  • AIAA Journal

This publication record highlights a consistent presence in journals focused on fluid mechanics, computational fluid dynamics, and related interdisciplinary fields.

Best Publications

  • Modal Analysis of Fluid Flows: An Overview

    Kunihiko Taira;Steven L. Brunton;Scott T. M. Dawson;Clarence W. Rowley

  • The immersed boundary method: A projection approach

    Kunihiko Taira;Tim Colonius

  • Modal Analysis of Fluid Flows: Applications and Outlook

    Kunihiko Taira;Maziar S. Hemati;Steven L. Brunton;Yiyang Sun

  • Super-resolution reconstruction of turbulent flows with machine learning

    Kai Fukami;Kai Fukami;Koji Fukagata;Kunihiko Taira;Kunihiko Taira

  • Three-dimensional flows around low-aspect-ratio flat-plate wings at low Reynolds numbers

    Kunihiko Taira;Tim Colonius

  • A fast immersed boundary method using a nullspace approach and multi-domain far-field boundary conditions

    Tim Colonius;Kunihiko Taira

  • Assessment of supervised machine learning methods for fluid flows

    Kai Fukami;Koji Fukagata;Kunihiko Taira

  • Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows

    Kai Fukami;Koji Fukagata;Kunihiko Taira

  • Super-resolution reconstruction of turbulent flows with machine learning

    Kai Fukami;Kai Fukami;Koji Fukagata;Kunihiko Taira;Kunihiko Taira

  • Super-resolution analysis via machine learning: a survey for fluid flows

    Unknown

  • Network structure of two-dimensional decaying isotropic turbulence

    Kunihiko Taira;Aditya G. Nair;Steven L. Brunton

  • Probabilistic neural networks for fluid flow surrogate modeling and data recovery

    Romit Maulik;Kai Fukami;Nesar Ramachandra;Koji Fukagata

  • Two-dimensional compressible viscous flow around a circular cylinder

    Daniel Canuto;Kunihiko Taira

  • Resolvent-analysis-based design of airfoil separation control

    Chi-An Yeh;Kunihiko Taira

  • On the mechanism of trailing vortex wandering

    Adam M. Edstrand;Timothy B. Davis;Peter J. Schmid;Kunihiko Taira

  • Nonlinear Lift on a Triangular Airfoil in Low-Reynolds-Number Compressible Flow

    Phillip M. Munday;Kunihiko Taira;Tetsuya Suwa;Daiju Numata

  • On the formation of three-dimensional flows over finite-aspect-ratio wings under tip effects

    Kai Zhang;Shelby Hayostek;Michael Amitay;Wei He

  • Vortex dynamics around pitching plates

    Ryan T. Jantzen;Kunihiko Taira;Kenneth O. Granlund;Michael V. Ol

  • Effect of Tip Vortices in Low-Reynolds-Number Poststall Flow Control

    Kunihiko Taira;Tim Colonius

  • Grasping extreme aerodynamics on a low-dimensional manifold

    Unknown

  • Special issue on machine learning and data-driven methods in fluid dynamics

    Steven L. Brunton;Maziar S. Hemati;Kunihiko Taira

  • Computational Fluid Dynamics

    Unknown

  • Resolvent-analysis-based design of airfoil separation control

    Chi-An Yeh;Kunihiko Taira

  • Randomized resolvent analysis

    Jean Hélder Marques Ribeiro;Chi-An Yeh;Kunihiko Taira

  • The leading-edge vortex and quasisteady vortex shedding on an accelerating plate

    Kevin K. Chen;Tim Colonius;Kunihiko Taira

  • Cluster-based feedback control of turbulent post-stall separated flows

    Aditya G. Nair;Chi-An Yeh;Eurika Kaiser;Bernd R. Noack

  • Cluster-based feedback control of turbulent post-stall separated flows

    Aditya G. Nair;Chi-An Yeh;Eurika Kaiser;Bernd R. Noack

  • The leading-edge vortex and quasi-steady vortex shedding on an accelerating plate

    Kevin Chen;Tim Colonius;Kunihiko Taira

Frequent Co-Authors

Louis N. Cattafesta
Louis N. Cattafesta Illinois Institute of Technology
Tim Colonius
Tim Colonius California Institute of Technology
Lawrence Ukeiley
Lawrence Ukeiley University of Florida
Koji Fukagata
Koji Fukagata Keio University
Clarence W. Rowley
Clarence W. Rowley Princeton University
Michael Amitay
Michael Amitay Rensselaer Polytechnic Institute
Peter J. Schmid
Peter J. Schmid King Abdullah University of Science and Technology
Bernd R. Noack
Bernd R. Noack Harbin Institute of Technology
Beverley McKeon
Beverley McKeon California Institute of Technology
Gilead Tadmor
Gilead Tadmor Northeastern University

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