Habib N. Najm

According to our database1, Habib N. Najm
  • authored at least 35 papers between 2003 and 2017.
  • has a "Dijkstra number"2 of five.



In proceedings 
PhD thesis 


On csauthors.net:


Computational singular perturbation analysis of stochastic chemical systems with stiffness.
J. Comput. Physics, 2017

Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions.
CoRR, 2017

Data free inference with processed data products.
Statistics and Computing, 2016

Bayesian estimation of Karhunen-Loève expansions; A random subspace approach.
J. Comput. Physics, 2016

Fault Resilient Domain Decomposition Preconditioner for PDEs.
SIAM J. Scientific Computing, 2015

Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models.
Multiscale Modeling & Simulation, 2015

Hybrid discrete/continuum algorithms for stochastic reaction networks.
J. Comput. Physics, 2015

Probabilistic Methods for Sensitivity Analysis and Calibration in the NASA Challenge Problem.
J. Aerospace Inf. Sys., 2015

Efficient Representation of Uncertainty for Stochastic Economic Dispatch.
CoRR, 2015

Dynamical Structures in Stochastic Chemical Reaction Systems.
SIAM J. Applied Dynamical Systems, 2014

Enforcing positivity in intrusive PC-UQ methods for reactive ODE systems.
J. Comput. Physics, 2014

A second-order coupled immersed boundary-SAMR construction for chemically reacting flow over a heat-conducting Cartesian grid-conforming solid.
J. Comput. Physics, 2014

Toward Using Surrogates to Accelerate Solution of Stochastic Electricity Grid Operations Problems.
CoRR, 2014

Validation and Uncertainty Assessment of Extreme-Scale HPC Simulation through Bayesian Inference.
Proceedings of the Euro-Par 2013 Parallel Processing, 2013

Multiparameter Spectral Representation of Noise-Induced Competence in Bacillus Subtilis.
IEEE/ACM Trans. Comput. Biology Bioinform., 2012

Uncertainty Quantification given Discontinuous Model Response and a Limited Number of Model Runs.
SIAM J. Scientific Computing, 2012

A Stochastic Multiscale Coupling Scheme to Account for Sampling Noise in Atomistic-to-Continuum Simulations.
Multiscale Modeling & Simulation, 2012

Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters.
Multiscale Modeling & Simulation, 2012

Uncertainty Quantification in MD Simulations. Part I: Forward Propagation.
Multiscale Modeling & Simulation, 2012

Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection.
J. Sci. Comput., 2012

Data-free inference of the joint distribution of uncertain model parameters.
J. Comput. Physics, 2012

Eigenvalues of the Jacobian of a Galerkin-Projected Uncertain ODE System.
SIAM J. Scientific Computing, 2011

Spectral Representation and Reduced Order Modeling of the Dynamics of Stochastic Reaction Networks via Adaptive Data Partitioning.
SIAM J. Scientific Computing, 2010

A high-order low-Mach number AMR construction for chemically reacting flows.
J. Comput. Physics, 2010

Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems.
J. Comput. Physics, 2009

Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities.
Proceedings of the ICDM Workshops 2009, 2009

Components for atomistic-to-continuum multiscale modeling of flow in micro- and nanofluidic systems.
Scientific Programming, 2008

Using High-Order Methods on Adaptively Refined Block-Structured Meshes: Derivatives, Interpolations, and Filters.
SIAM J. Scientific Computing, 2007

Multi-Resolution-Analysis Scheme for Uncertainty Quantification in Chemical Systems.
SIAM J. Scientific Computing, 2007

Stochastic spectral methods for efficient Bayesian solution of inverse problems.
J. Comput. Physics, 2007

Model Reduction and Physical Understanding of Slowly Oscillating Processes: The Circadian Cycle.
Multiscale Modeling & Simulation, 2006

Modeling Low Mach Number Reacting Flow with Detailed Chemistry and Transport.
J. Sci. Comput., 2005

Natural Convection in a Closed Cavity under Stochastic Non-Boussinesq Conditions.
SIAM J. Scientific Computing, 2004

Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes.
SIAM J. Scientific Computing, 2004

Using the Common Component Architecture to Design High Performance Scientific Simulation Codes.
Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003