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Basic Information

Full Name Seung Whan Chung
Email chung28@llnl.gov
Homepage https://chung-research.com

Academic Interests

  • Optimal flow control, Design optimization
  • Reduced order modeling
  • Turbulent flow
  • Chaotic dynamics
  • Uncertainty quantification

Education

Experience

  • 2023 - Present
    Postdoctoral Staff Member
    Lawrence Livermore National Laboratory
    • Developed a scalable reduced order model with discontinuous Galerkin domain decomposition
    • Orchestrated the development of pylibROM, python interface for the library of reduced order modeling
    • Advised and mentored three student interns
      • Ping-Hsuan Tsai
      • Seung-Won Suh
      • Axel Larsson
  • 2021 - 2023
    Postdoctoral Researcher
    University of Texas at Austin
    • Uncertainty quantification of electron-argon collision cross sections via Bayesian inference
    • Developed a discontinuous-Galerkin HPC solver for large-scale non-equilibrium plasma simulations
  • 2017
    Student Intern
    Sandia National Laboratories
    • Developed a novel regular gradient computing method for chaotic particle plasma simulations.
    • Demonstrated gradient computation for Debye shielding response and sheath edge formation.
  • 2014 - 2021
    Graduate Researcher
    University of Illinois at Urbana-Champaign
    • Developed multi-point penalty-based optimization framework for chaotic turbulent flows.
    • Implemented and validated turbulence statistics and sound radiation of a compressible Mach-1.3 jet.