Assistant Professor
Aerospace and Mechanical Engineering
Office: ERC 389 (Map)


Dr. Kim is an assistant professor in Mechanical and Aerospace Engineering at Arizona State University. He received his Ph.D. at University of Illinois at Urbana-Champaign in the field of computational aeroacoustics and jet-noise reduction. During his post-doctoral study at Cornell University, he studied on simulating turbulent premixed combustion using the Lagrangian LES/PDF formulation. Before joining ASU, he was a post-doctoral fellow at the Center for Turbulence Research, Stanford University, studying a variety of turbulent flows involving multi-physics phenomena using novel high-performance computing. He received B.S. and M.S. in Mechanical and Aerospace Engineering at Seoul National University, after which he pursued a few years of industry career in computational fluid dynamics engineering. 


Ph.D., Theoretical and Applied Mechanics, University of Illinois at Urbana-Champaign (2012)

M.S., Mechanical and Aerospace Engineering, Seoul National University, South Korea (2003)

B.S., Mechanical and Aerospace Engineering, Seoul National University, South Korea (2001)

Research Interests

My research interest is high-fidelity simulation (such as large-eddy simulation) of turbulent flows with multi-physics (such as compressibility, fluid—structure interactions, chemical reaction, plasma). Such turbulent flows are widely encountered in the applications of turbomachinery, supersonic and hypersonic aerodynamics, posing important engineering design challenges. Recent advances in high-performance computing have significantly increased prediction capabilities for such flows; however, more fundamental questions await in incorporating multi-physics effects into modeling and simulation and in bringing prediction to design and optimization stage. My research combines novel computational and analytical tools of fluid dynamics in conjunction with modern control and optimization theories to address such questions. My specific areas of research interests include 


  1. Large-eddy simulation of high-speed turbulent flows with multi-physics using high-performance computing
  2. Hypersonic aerothermochemistry
  3. Combustion noise
  4. Active flow control and optimization
  5. Turbulence-generated noise
  6. Adjoint-based analysis and optimization