Habib N. Najm

Distinguished Member of the Technical Staff Combustion Research Facility, Reacting Flow Research


Habib Najm leads a research program in computational reacting flow and uncertainty quantification, funded by the US Department of Energy. His research has spanned development of numerical methods for reacting flow computations, computational studies of laminar flames with detailed chemical kinetics, development of uncertainty quantification methods and their application in reacting flow, analysis and reduction of multiscale chemical systems, modeling of electrochemical microfluid systems, statistical data analysis for biodetection, stochastic dynamical systems, and Bayesian inference methods for inverse problems. He is author/co-author of over eighty journal articles and eleven US patents.

Research Interests

Combustion. Computational studies of reacting flow with detailed chemical kinetics. Flame-flow interaction in laminar vortical flow. Predictive computations of physical systems. Computational modeling, analysis, and model reduction. Uncertainty quantification in computational models. Stochastic modeling. Data assimilation and inverse problems.


  • BE, Mech. Engineering, American University of Beirut, Beirut, Lebanon, 1983.
  • SM, Mech. Engineering, Massachusetts Institute of Technology, Cambridge, MA, 1986.
  • PhD, Mech. Engineering, Massachusetts Institute of Technology, Cambridge, MA, 1989.

Awards, Honors and Memberships

  • Distinguished Alumnus Award, School of Engineering, American Univ. of Beirut, 2006
  • B. Gemayel Foundation scholarship, 1984-1989
  • Deutscher Akademischer Austausch Dienst scholarship, 1983
  • Editorial board, SIAM Computational Science and Engineering Book series, 2003 – 2008
  • Editorial board, Int. Journal for Uncertainty Quantification, Begell House Inc.,  2011 –
  • National Advisory Council, Statistical and Applied Mathematical Sciences Institute (SAMSI), Aug 2011 – Jun 2014
  • Department Advisory Board, Mechanical Engineering Department; American Univ. of Beirut (AUB), 2006 – 2012
  • Advisory Board, SRI-Center for Uncertainty Quantification in Computational Science & Engineering, King Abdullah Univ. of Science and Technology (KAUST), Nov 2012 –
  • Member, The Combustion Institute
  • Member, Society of Industrial and Applied Mathematics.

Selected Publications & Patents

Prager, J., Najm, H.N., Sargsyan, K., Safta, C., and Pitz, W.J., “Uncertainty Quantification of Reaction Mechanisms Accounting for Correlations Introduced by Rate Rules and Fitted Arrhenius Parameters”, Comb. & Flame, 160:1583-1593.

Prager, J., Najm, H., and Z´ador, J., “Uncertainty Quantification in the ab initio Rate-Coefficient Calculation for the CH3CH(OH)CH3+OH→CH3C∗(OH)CH3+H2O Reaction”, Proc. Comb. Inst., 34:583-590, 2013.

Berry, R.D., Najm, H.N., Debusschere, B.J., Adalsteinsson, H., and Marzouk, Y.M., “Data-free inference of the joint distribution of uncertain model parameters”, J. Comput. Phys., 231:2180-2198, 2012.

Sargsyan, K., Safta, C., Debusschere, B.J., and Najm, H.N., “Uncertainty Quantification given Discontinuous Model Response and a Limited Number of Model Runs”, Siam J. Sci. Comp., 34:B44-B64, 2012.

Debusschere, B.J., Marzouk, Y.M., Najm, H.N., Rhoads, B., Goussis, D.A., Valorani, M., “Computational Singular Perturbation with Non-Parametric Tabulation of Slow Manifolds for Time Integration of Stiff Chemical Kinetics”, Combustion Theory and Modelling, 16(1):173-198, 2012.

Prager, J., Najm, H.N., Valorani,M., and Goussis, D.A.,“Structure of n-Heptane/Air Triple Flames in Partially-Premixed Mixing Layers”, Combustion and Flame, 158:2128-2144, 2011.

Sonday, B.E., Berry, R.D., Najm, H.N., and Debusschere, B.J., “Eigenvalues of the Jacobian of a Galerkin-Projected Uncertain ODE System”, SIAM J. on Scientific Computing, 33, 1212-1233, 2011.

Safta, C., Ray, J., Najm, H.N., “A High-Order Low-Mach Number AMR Construction for Chemically Reacting Flows”, J. Comput. Phys., 229:9299-9322, 2010.

Najm, H.N., Valorani, M., Goussis, D.A., and Prager, J.,“Analysis of Methane-Air Edge Flame Structure”, Combustion Theory and Modelling, 14(2):257-294, 2010.

Najm, H.N., “Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics”, Annual Review of Fluid Mechanics, 41(1):35-52, 2009.


Sandia National Laboratories
California P.O. Box 969
Livermore, CA 94551-0969
Work Phone: (925) 294-2054
Work Email: hnnajm@sandia.gov