Mehdi Nik received his PhD from the University of Pittsburgh, Department of Mechanical Engineering and Materials Science. His research interests include the thermal fluid sciences, turbulence, combustion, numerical methods, computational fluid dynamics (CFD), stochastic processes and high performance computing (HPC). His work on large eddy simulation (LES) of turbulent reacting flows using filtered density function (FDF) methodology has led to extensive experience with finite-difference Monte Carlo methods and extensive computational experience in many areas such as scientific code development (C/C++/Fortran), parallel programming (MPI), PETSc, domain decomposition techniques (METIS) and significant exposure to supercomputing systems. At the Center for Turbulence Research (CTR), his research is focused on the simulation of multicomponent fuel-spray injection and combustion. The primary research objectives are on the analysis of the breakup and the modeling of multicomponent fuels.


  • Ph.D., Mechanical Engineering, University of Pittsburgh, 2012.
  • M.Sc., Aerospace Engineering, Sharif University of Technology, 2004.
  • B.Sc., Mechanical Engineering, University of Tehran, 2001.


  1. N.S. Vaghefi, M.B. Nik, P.H. Pisciuneri and C. Madnia, “A Priori Assessment of the Subgrid Scale Viscous/Scalar Dissipation Closures in Compressible Turbulence,” Journal of Turbulence, 14(9), 43–61, (2013).
  2. S.L. Yilmaz, M.B. Nik, M.R.H. Sheikhi and P. Givi, “An Irregularly Portioned Lagrangian Monte Carlo Method for Turbulent Flow Simulation,” Journal of Scientific Computing, 47(1), 109-125, (2011).
  3. M.B. Nik, S.L. Yilmaz, P. Givi, M.R.H. Sheikhi and S.B. Pope, “Simulation of Sandia Flame D using the Velocity-Scalar Filtered Density Function,” AIAA Journal, 48(7), 1513-1522, (2010).
  4. M.B. Nik, S.L. Yilmaz, M.R.H. Sheikhi and P. Givi, “Grid Resolution Effects on VSFMDF/LES,” Flow, Turbulence and Combustion, 85(3-4), 677-688, (2010).

Research Areas

  • Turbulent reacting flows
  • Compressible flows
  • Large eddy simulation
  • FDF/PDF methodology
  • Multiphase flows


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