Kyushu University Academic Staff Educational and Research Activities Database
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Kenji Ono Last modified date:2017.09.05

Graduate School
Undergraduate School
Other Organization

Academic Degree
Dr. Eng.
Field of Specialization
Computational Fluid Dynamics, Visualization, High-performance parallel computing
Outline Activities
Research – Computational fluid dynamics simulation, Visualization, Parallel computing

Education – Numerical analysis and its exercise

Service – Operation and support of supercomputers

Others – Commissioned project of science and technology research funded by MEXT, CREST, JHPCN
Research Interests
  • Interaction between real world and virtual world through VR/AR technology
    keyword : HMD, UI
  • Reconstruction of turbulent model using machine learning
    keyword : Deep learning, LES turbulence modeling, CFD
  • Research of parallel computing method in time integration
    keyword : multi-grid algorithm in time, parareal method
  • Research and development of technologies for upstream design
    keyword : Derivation of idea
  • Research of large-scale parallel grid generation
    keyword : CAD data, geometry, CFD
  • Construction of an environment to support execution of simulation
    keyword : workflow, data management, multi-platform, eco-system
  • Technology development of large-scale parallel visualization system
    keyword : sort-last image compositing, ray tracing, multi-platform, data model
  • Development of thermal flow simulator for flow around complex geometries
    keyword : Cartesian mesh, Mesh generation
Current and Past Project
  • Develop an integrated framework to manage various data to design products, analytic tools to extract data by various methods, and useful display technology to visualize information. Then, apply the developed system to validation cases, and confirm effectiveness.
Academic Activities
1. Fan Hong, Chongke Bi, Hanqi Guo, Kenji Ono, Xiaoru Yuan, Compression-based integral curve data reuse framework for flow visualization, Journal of Visualization, 2017.05, [URL].
2. Kenji Ono, Seigo Imamura, Mitsuo Yokokawa, Iterative-method performance evaluation for multiple vectors associated with a large-scale sparse matrix, International Journal of Computational Fluid Dynamics, 30, 6, 2016.09, [URL].
1. Seigo Imamura, Mikio Iizuka, Kenji Ono, Mitsuo Yokokawa, Building the Performance Model of Parareal Method, 28th International Conference on Parallel Computational Fluid Dynamics Parallel CFD2016, 2016.05.10.
2. Mikio Iizuka, Kenji Ono, Convergence Rate of Parareal Method with Modified Newmark-Beta Algorithm for 2nd-Order ODE, 17th SIAM Conference on Parallel Processing for Scientific Computing, 2016.04.15.
Membership in Academic Society
  • Information Processing Society of Japan
  • The Japan Society for Computational Engineering and Science
  • The Visualization Society of Japan
  • The Japan Society of Mechanical Engineers
  • Society of Automotive Engineers of Japan
  • The Japan Society of Fluid Mechanics
  • IEEE