Alen Alexanderian

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Georg StadlerCourant Institute, New York UniversityE-mail confirmado em cims.nyu.edu
Arvind K. SaibabaAssociate Professor, North Carolina State UniversityE-mail confirmado em ncsu.edu
Omar GhattasProfessor & Cockrell endowed chair, Mechanical Engineering & Oden Institute, Univ of Texas at AustinE-mail confirmado em ices.utexas.edu
Omar KnioKing Abdullah University of Science and TechnologyE-mail confirmado em kaust.edu.sa
Mohamed IskandaraniAssociate Professor of Meteorology and Physical Oceanography, University of MiamiE-mail confirmado em rsmas.miami.edu
Justin WinokurSandia National LabsE-mail confirmado em sandia.gov
Ralph SmithNorth Carolina State UniversityE-mail confirmado em ncsu.edu
George Dimitoglou, Ph.D.-E-mail confirmado em ieee.org
Le Maître OlivierDirecteur de Recherche CNRS, CMAP, Ecole PolytechniqueE-mail confirmado em polytechnique.edu
Muruhan RathinamUMBCE-mail confirmado em umbc.edu
Habib NajmSandia National LaboratoriesE-mail confirmado em sandia.gov
Ilse C. F. IpsenProfessor of Mathematics, North Carolina State UniversityE-mail confirmado em ncsu.edu
Sankaran MahadevanJohn R. Murray Sr. Professor of EngineeringE-mail confirmado em vanderbilt.edu
Benjamin W CaplinsNISTE-mail confirmado em nist.gov
Maher SalloumPrincipal Member of Technical StaffE-mail confirmado em sandia.gov
Holly GaffOld Dominion UniversityE-mail confirmado em odu.edu
Suzanne LenhartUniversity of TennesseeE-mail confirmado em utk.edu
Cosmin SaftaSandia National LabsE-mail confirmado em sandia.gov
Francesco RizziNexGen AnalyticsE-mail confirmado em ng-analytics.com
Serge PrudhommeProfessor of Mathematics, Polytechnique MontréalE-mail confirmado em polymtl.ca

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Alen Alexanderian

North Carolina State University

E-mail confirmado em ncsu.edu - Página inicial

Inverse problems Design of experiments Uncertainty quantification Global sensitivity analysis Multiscale Modeling


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems A Alexanderian, N Petra, G Stadler, O Ghattas SIAM Journal on Scientific Computing 38 (1), A243–A272, 2016	175	2016
A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized -Sparsification A Alexanderian, N Petra, G Stadler, O Ghattas SIAM Journal on Scientific Computing 36 (5), A2122-A2148, 2014	172	2014
On Bayesian A-and D-optimal experimental designs in infinite dimensions A Alexanderian, PJ Gloor, O Ghattas Bayesian Analysis, 2016	101	2016
Mean-variance risk-averse optimal control of systems governed by PDEs with random parameter fields using quadratic approximations A Alexanderian, N Petra, G Stadler, O Ghattas SIAM/ASA Journal on Uncertainty Quantification 5 (1), 1166-1192, 2017	100	2017
Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: A review A Alexanderian Inverse Problems, 2021	92	2021
Randomized Matrix-free Trace and Log-Determinant Estimators AK Saibaba, A Alexanderian, ICF Ipsen Numerische Mathematik, 2017	84	2017
Global sensitivity analysis in an ocean general circulation model: a sparse spectral projection approach A Alexanderian, J Winokur, I Sraj, A Srinivasan, M Iskandarani, ... Computational Geosciences 16, 757-778, 2012	81	2012
Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems A Attia, A Alexanderian, AK Saibaba Inverse Problems 34 (9), 095009, 2018	74	2018
JHelioviewer: Visualizing large sets of solar images using JPEG 2000 D Muller, B Fleck, G Dimitoglou, BW Caplins, DE Amadigwe, JPG Ortiz, ... Computing in Science & Engineering 11 (5), 38-47, 2009	74	2009
A brief note on the Karhunen-Loève expansion A Alexanderian arXiv preprint arXiv:1509.07526, 2015	70	2015
Variance-based sensitivity analysis for time-dependent processes A Alexanderian, PA Gremaud, RC Smith Reliability Engineering & System Safety, 2020	68	2020
Efficient D-optimal design of experiments for infinite-dimensional Bayesian linear inverse problems A Alexanderian, AK Saibaba SIAM Journal on Scientific Computing 40 (5), A2956-A2985, 2018	64	2018
An age-structured model for the spread of epidemic cholera: analysis and simulation A Alexanderian, MK Gobbert, KR Fister, H Gaff, S Lenhart, E Schaefer Nonlinear Analysis: Real World Applications 12 (6), 3483-3498, 2011	58	2011
Efficient computation of Sobol'indices for stochastic models JL Hart, A Alexanderian, PA Gremaud SIAM Journal on Scientific Computing., 2017	52	2017
Multiscale stochastic preconditioners in non-intrusive spectral projection A Alexanderian, OP Le Maître, HN Najm, M Iskandarani, OM Knio Journal of Scientific Computing 50, 306-340, 2012	37	2012
Bayesian inference of drag parameters using AXBT data from Typhoon Fanapi I Sraj, M Iskandarani, A Srinivasan, WC Thacker, J Winokur, ... Monthly Weather Review 141 (7), 2347-2367, 2013	36	2013
A-optimal encoding weights for nonlinear inverse problems, with applications to the Helmholtz inverse problem B Crestel, A Alexanderian, G Stadler, O Ghattas Inverse Problems, 2017	34	2017
Optimal experimental design under irreducible uncertainty for linear inverse problems governed by PDEs K Koval, A Alexanderian, G Stadler Inverse Problems 36 (7), 075007, 2020	33	2020
Optimal design of large-scale Bayesian linear inverse problems under reducible model uncertainty: Good to know what you don't know A Alexanderian, N Petra, G Stadler, I Sunseri SIAM/ASA Journal on Uncertainty Quantification 9 (1), 163-184, 2021	29	2021
Hyper-differential sensitivity analysis for inverse problems constrained by partial differential equations I Sunseri, J Hart, B van Bloemen Waanders, A Alexanderian Inverse Problems 36 (12), 125001, 2020	28	2020

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