2020 journal article

Geostatistical inverse modeling with very large datasets: an example from the Orbiting Carbon Observatory 2 (OCO-2) satellite

*GEOSCIENTIFIC MODEL DEVELOPMENT*, *13*(3), 1771–1785.

Sources: Web Of Science, ORCID

Added: April 20, 2020

2020 journal article

Randomized Algorithms for Low-Rank Tensor Decompositions in the Tucker Format

*SIAM Journal on Mathematics of Data Science*.

Source: ORCID

Added: May 30, 2020

2020 journal article

Randomized Discrete Empirical Interpolation Method for Nonlinear Model Reduction

*SIAM Journal on Scientific Computing*.

Source: ORCID

Added: May 30, 2020

2019 journal article

Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems

*SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION*, *7*(3), 1105–1131.

Sources: Web Of Science, ORCID

Added: October 14, 2019

2019 journal article

Going Off the Grid: Iterative Model Selection for Biclustered Matrix Completion

*JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS*, *28*(1), 36–47.

Sources: Web Of Science, ORCID

Added: May 13, 2019

2019 journal article

RANDOMIZED SUBSPACE ITERATION: ANALYSIS OF CANONICAL ANGLES AND UNITARILY INVARIANT NORMS

*SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS*, *40*(1), 23–48.

Sources: Web Of Science, ORCID

Added: April 9, 2019

2018 journal article

A randomized tensor singular value decomposition based on the t-product

*NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS*, *25*(5).

Sources: NC State University Libraries, ORCID

Added: November 12, 2018

2018 journal article

EFFICIENT D-OPTIMAL DESIGN OF EXPERIMENTS FOR INFINITE-DIMENSIONAL BAYESIAN LINEAR INVERSE PROBLEMS

*SIAM JOURNAL ON SCIENTIFIC COMPUTING*, *40*(5), A2956–2985.

Sources: NC State University Libraries, ORCID

Added: November 19, 2018

2018 journal article

Efficient generalized Golub-Kahan based methods for dynamic inverse problems

*Inverse Problems*, *34*(2).

Sources: NC State University Libraries, ORCID

Added: August 6, 2018

2018 journal article

Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems

*INVERSE PROBLEMS*, *34*(9).

Sources: NC State University Libraries, ORCID

Added: October 19, 2018

2018 journal article

Low-Rank Independence Samplers in Hierarchical Bayesian Inverse Problems

*SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION*, *6*(3), 1076–1100.

Sources: NC State University Libraries, ORCID

Added: October 16, 2018

2018 journal article

THE DISCRETE EMPIRICAL INTERPOLATION METHOD: CANONICAL STRUCTURE AND FORMULATION IN WEIGHTED INNER PRODUCT SPACES

*SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS*, *39*(3), 1152–1180.

Sources: NC State University Libraries, ORCID

Added: January 7, 2019

2017 journal article

Generalized Hybrid Iterative Methods for Large-Scale Bayesian Inverse Problems

*SIAM Journal on Scientific Computing*, *39*(5), S24–S46.

Sources: NC State University Libraries, ORCID

Added: August 6, 2018

2017 journal article

Multipreconditioned Gmres for Shifted Systems

*SIAM Journal on Scientific Computing*, *39*(5), S222–S247.

Sources: NC State University Libraries, ORCID

Added: August 6, 2018

2017 journal article

Randomized matrix-free trace and log-determinant estimators

*Numerische Mathematik*, *137*(2), 353–395.

Sources: NC State University Libraries, ORCID

Added: August 6, 2018

2016 journal article

HOID: Higher order interpolatory decomposition for tensors based on tucker representation

*SIAM Journal on Matrix Analysis and Applications*, *37*(3), 1223–1249.

Sources: NC State University Libraries, ORCID

Added: August 6, 2018

2015 conference paper

3D parameter reconstruction in hyperspectral diffuse optical tomography

*Progress in Biomedical Optics and Imaging - Proceedings of SPIE*, *9319*.

Source: ORCID

Added: May 14, 2019

2015 journal article

A fast algorithm for parabolic PDE-based inverse problems based on Laplace transforms and flexible Krylov solvers

*Journal of Computational Physics*, *299*, 940–954.

Source: ORCID

Added: May 14, 2019

2015 journal article

Fast Kalman filter using hierarchical matrices and a low-rank perturbative approach

*Inverse Problems*, *31*(1).

Source: ORCID

Added: May 14, 2019

2015 journal article

Fast algorithms for hyperspectral diffuse optical tomography

*SIAM Journal on Scientific Computing*, *37*(5), B712–B743.

Source: ORCID

Added: May 14, 2019

2015 journal article

Fast computation of uncertainty quantification measures in the geostatistical approach to solve inverse problems

*Advances in Water Resources*, *82*, 124–138.

Source: ORCID

Added: May 14, 2019

2015 journal article

Randomized algorithms for generalized Hermitian eigenvalue problems with application to computing Karhunen-Loève expansion

*Numerical Linear Algebra with Applications*, *23*(2), 314–339.

Sources: NC State University Libraries, ORCID, Crossref

Added: August 6, 2018

2014 conference paper

A fast Kalman filter for time-lapse electrical resistivity tomography

*International Geoscience and Remote Sensing Symposium (IGARSS)*, 3152–3155.

Source: ORCID

Added: May 14, 2019

2013 journal article

A flexible krylov solver for shifted systemswith application to oscillatory hydraulic tomography

*SIAM Journal on Scientific Computing*, *35*(6).

Source: ORCID

Added: May 14, 2019

2013 article

Fast Algorithms for Bayesian Inversion

*Computational Challenges in the Geosciences*, pp. 101–142.

Source: ORCID

Added: May 14, 2019

2012 journal article

Application of hierarchical matrices to linear inverse problems in geostatistics | Application des matrices hiérarchiques aux problèmes d'inversion linéaire en géostatistique

*Oil and Gas Science and Technology*, *67*(5), 857–875.

Source: ORCID

Added: May 14, 2019

2012 journal article

Efficient methods for large-scale linear inversion using a geostatistical approach

*Water Resources Research*, *48*(5).

Source: ORCID

Added: May 14, 2019

2015 - present

2013 - 2015

2008 - 2013

2007 - 2010

2003 - 2007

Funding history based on the linked ORCID record.

grant
September 1, 2019 - August 31, 2024

CAREER: Fast and Accurate Algorithms for Uncertainty Quantification in Large-Scale Inverse Problems

Directorate for Mathematical & Physical Sciences

grant
August 15, 2018 - July 31, 2021

Collaborative Research: A Tensor-Based Computational Framework for Model Reduction and Structured Matrices

Directorate for Mathematical & Physical Sciences

grant
September 1, 2017 - August 31, 2020

OP: Collaborative Research: Novel Feature-Based, Randomized Methods for Large-Scale Inversion

Directorate for Mathematical & Physical Sciences