- Home
- Best Scientists - Engineering and Technology
- Habib N. Najm

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Engineering and Technology
D-index
46
Citations
10,764
278
World Ranking
2446
National Ranking
915

- Quantum mechanics
- Statistics
- Electrical engineering

Habib N. Najm mostly deals with Polynomial chaos, Uncertainty quantification, Applied mathematics, Mathematical optimization and Analytical chemistry. The concepts of his Polynomial chaos study are interwoven with issues in Stochastic process, Polynomial, Solver and Bayesian inference. Habib N. Najm combines subjects such as Projection method, Mathematical analysis, Galerkin method, Sensitivity analysis and Propagation of uncertainty with his study of Uncertainty quantification.

His Applied mathematics research is multidisciplinary, relying on both Projection, Flow, Representation, Probabilistic logic and Discretization. Many of his studies on Mathematical optimization involve topics that are commonly interrelated, such as Random variable. Habib N. Najm has researched Analytical chemistry in several fields, including Thermocouple and Work, Thermodynamics.

- Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (475 citations)
- On the Adequacy of Certain Experimental Observables as Measurements of Flame Burning Rate (437 citations)
- Uncertainty propagation using Wiener-Haar expansions (363 citations)

The scientist’s investigation covers issues in Uncertainty quantification, Polynomial chaos, Mathematical optimization, Applied mathematics and Mechanics. His study focuses on the intersection of Uncertainty quantification and fields such as Probabilistic logic with connections in the field of Representation. His work deals with themes such as Stochastic process, Statistical physics, Galerkin method and Bayesian inference, which intersect with Polynomial chaos.

His Mathematical optimization research also works with subjects such as

- Singular perturbation which intersects with area such as Ignition system,
- Inverse problem most often made with reference to Markov chain Monte Carlo. By researching both Applied mathematics and Context, Habib N. Najm produces research that crosses academic boundaries. His study in the field of Flow and Microchannel also crosses realms of Flame structure and Laminar flame speed.

- Uncertainty quantification (23.08%)
- Polynomial chaos (21.63%)
- Mathematical optimization (18.27%)

- Uncertainty quantification (23.08%)
- Applied mathematics (17.79%)
- Probabilistic logic (7.21%)

Habib N. Najm mostly deals with Uncertainty quantification, Applied mathematics, Probabilistic logic, Statistical physics and Mathematical optimization. His Uncertainty quantification research incorporates elements of Helium and Surface. His work carried out in the field of Applied mathematics brings together such families of science as Tensor, Maxima and minima, Low-rank approximation, Rank and Polynomial chaos.

His Polynomial chaos research is included under the broader classification of Monte Carlo method. His Statistical physics study incorporates themes from Singular perturbation, Conditional random field, Anharmonicity, Propagation of uncertainty and Diagrammatic reasoning. His Duality study, which is part of a larger body of work in Mathematical optimization, is frequently linked to Diffusion map, bridging the gap between disciplines.

- Workshop Report on Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence (58 citations)
- TChem - A Software Toolkit for the Analysis of Complex Kinetic Models (27 citations)
- Compressive sensing adaptation for polynomial chaos expansions (18 citations)

- Quantum mechanics
- Statistics
- Electrical engineering

His main research concerns Probabilistic logic, Uncertainty quantification, Mathematical optimization, Software engineering and Applied mathematics. His Uncertainty quantification research includes elements of Rotation, Estimation theory, Convergence, Reduction and Bayesian inference. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Reynolds-averaged Navier–Stokes equations, Probability density function and Turbulence kinetic energy.

Applied mathematics and First order are two areas of study in which Habib N. Najm engages in interdisciplinary work. His work investigates the relationship between Principle of maximum entropy and topics such as Hyperparameter that intersect with problems in Polynomial chaos. His Polynomial chaos study integrates concerns from other disciplines, such as Gaussian and Compressed sensing.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics

Habib N. Najm.

Annual Review of Fluid Mechanics **(2009)**

797 Citations

On the Adequacy of Certain Experimental Observables as Measurements of Flame Burning Rate

Habib N Najm;Phillip H Paul;Charles J Mueller;Peter S Wyckoff.

Combustion and Flame **(1998)**

715 Citations

Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes

Bert J. Debusschere;Habib N. Najm;Philippe P. Pébay;Omar M. Knio.

computational science and engineering **(2005)**

567 Citations

Uncertainty propagation using Wiener-Haar expansions

O. P. Le Maître;O. M. Knio;H. N. Najm;R. G. Ghanem.

Journal of Computational Physics **(2004)**

538 Citations

Stochastic spectral methods for efficient Bayesian solution of inverse problems

Youssef M. Marzouk;Habib N. Najm;Larry A. Rahn.

Journal of Computational Physics **(2007)**

504 Citations

A stochastic projection method for fluid flow. I: basic formulation

Olivier P. Le Maitre;Omar M. Kino;Habib N. Najm;Roger G. Ghanem.

Journal of Computational Physics **(2001)**

478 Citations

Multi-resolution analysis of wiener-type uncertainty propagation schemes

O. P. Le Maître;H. N. Najm;R. G. Ghanem;O. M. Knio.

Journal of Computational Physics **(2004)**

428 Citations

A stochastic projection method for fluid flow II.: random process

Olivier P. Le Maîetre;Matthew T. Reagan;Habib N. Najm;Roger G. Ghanem.

Journal of Computational Physics **(2002)**

422 Citations

Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems

Youssef M. Marzouk;Habib N. Najm.

Journal of Computational Physics **(2009)**

416 Citations

Uncertainty quantification in reacting-flow simulations through non-intrusive spectral projection

Matthew T. Reagan;Habib N. Najm;Roger G. Ghanem;Omar M. Knio.

Combustion and Flame **(2003)**

370 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

King Abdullah University of Science and Technology

University of Southern California

Opterro

University of California, Berkeley

MIT

Lawrence Livermore National Laboratory

Sandia National Laboratories

Université Gustave Eiffel

University of Tennessee at Knoxville

Neijiang Normal University

National Cheng Kung University

National Yang Ming Chiao Tung University

Universidade de São Paulo

Friedrich Schiller University Jena

University of Stirling

Temple University

Georgetown University

University of California, Los Angeles

Takeda (Japan)

Space Science Institute

Masaryk University

National Taiwan University

Mayo Clinic

DuPont (United States)

California Institute of Technology

Something went wrong. Please try again later.