Vahid Keshavarzzadeh

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Robert M. Kirby OR R.M. KirbySchool of Computing, University of UtahDirección de correo verificada de cs.utah.edu
Akil NarayanUniversity of UtahDirección de correo verificada de sci.utah.edu
TortorelliIllinoisDirección de correo verificada de illinois.edu
Roger GhanemProfessor Civil Engineering, University of Southern CaliforniaDirección de correo verificada de usc.edu
Hadi MeidaniUniversity of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Sami F. MasriProfessor of Civil and Environmental Engineering, University of Southern CaliforniaDirección de correo verificada de usc.edu
Felipe Fernández AyalaMechanical Engineering Department, Universidad San Francisco de QuitoDirección de correo verificada de usfq.edu.ec
Arash NoshadravanAssistant Professor of Civil Engineering, Texas A&M UniversityDirección de correo verificada de tamu.edu
Wei W. XingThe University of SheffieldDirección de correo verificada de sheffield.ac.uk
Iman YadegaranPhD Candidate, University of Southern CaliforniaDirección de correo verificada de usc.edu
Robert D. MoserProfessor, Institute for Computational Engineering & Sciences, and Mechanical EngineeringDirección de correo verificada de oden.utexas.edu
Tolga TasdizenUniversity of UtahDirección de correo verificada de sci.utah.edu
Mitra AlirezaeiUniversity of UtahDirección de correo verificada de sci.utah.edu
Kai A. JamesGeorgia Institute of TechnologyDirección de correo verificada de gatech.edu
Charanraj ThimmisettyPalo Alto NetworksDirección de correo verificada de paloaltonetworks.com
Prateek BansalNational University of SingaporeDirección de correo verificada de nus.edu.sg
Ricardo DazianoProfessor at Cornell UniversityDirección de correo verificada de cornell.edu
Yiming XuDepartment of Mathematics, University of KentuckyDirección de correo verificada de uky.edu

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Vahid Keshavarzzadeh

General Motors

Dirección de correo verificada de gm.com - Página principal

Scientific Computing Numerical Optimization Uncertainty Quantification Computational Mechanics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Topology optimization under uncertainty via non-intrusive polynomial chaos expansion V Keshavarzzadeh, F Fernandez, DA Tortorelli Computer Methods in Applied Mechanics and Engineering 318, 120-147, 2017	130	2017
Gradient based design optimization under uncertainty via stochastic expansion methods V Keshavarzzadeh, H Meidani, DA Tortorelli Computer Methods in Applied Mechanics and Engineering 306, 47-76, 2016	75	2016
Numerical Integration in Multiple Dimensions with Designed Quadrature V Keshavarzzadeh, RM Kirby, A Narayan SIAM Journal on Scientific Computing 40 (4), A2033-A2061, 2018	63	2018
Reliability-based lifecycle management for corroding pipelines M Mishra, V Keshavarzzadeh, A Noshadravan Structural safety 76, 1-14, 2019	59	2019
Parametric topology optimization with multiresolution finite element models V Keshavarzzadeh, RM Kirby, A Narayan International Journal for Numerical Methods in Engineering 119 (7), 567-589, 2019	36	2019
Image-Based Multiresolution Topology Optimization Using Deep Disjunctive Normal Shape Model V Keshavarzzadeh, M Alirezaei, T Tasdizen, RM Kirby Computer-Aided Design 130, 102947, 2021	29	2021
Shape optimization under uncertainty for rotor blades of horizontal axis wind turbines V Keshavarzzadeh, RG Ghanem, DA Tortorelli Computer methods in applied mechanics and engineering 354, 271-306, 2019	29	2019
Stress-based topology optimization under uncertainty via simulation-based Gaussian process V Keshavarzzadeh, RM Kirby, A Narayan Computer Methods in Applied Mechanics and Engineering 365, 112992, 2020	24	2020
Convergence acceleration of polynomial chaos solutions via sequence transformation V Keshavarzzadeh, RG Ghanem, SF Masri, OJ Aldraihem Computer Methods in Applied Mechanics and Engineering 271, 167-184, 2014	18	2014
Machine learning in heterogeneous porous materials M D'Elia, H Deng, C Fraces, K Garikipati, L Graham-Brady, A Howard, ... arXiv preprint arXiv:2202.04137, 2022	14	2022
Robust multiphase topology optimization accounting for manufacturing uncertainty via stochastic collocation V Keshavarzzadeh, KA James Structural and Multidisciplinary Optimization 60 (6), 2461-2476, 2019	14	2019
Robust topology optimization with low rank approximation using artificial neural networks V Keshavarzzadeh, RM Kirby, A Narayan Computational Mechanics 68 (6), 1297-1323, 2021	13	2021
Robust topology optimization using variational autoencoders RJ Gladstone, MA Nabian, V Keshavarzzadeh, H Meidani arXiv preprint arXiv:2107.10661, 2021	13	2021
Shared-gaussian process: Learning interpretable shared hidden structure across data spaces for design space analysis and exploration W Xing, SY Elhabian, V Keshavarzzadeh, RM Kirby Journal of Mechanical Design 142 (8), 081707, 2020	13	2020
Probabilistic approach to NASA Langley research center multidisciplinary uncertainty quantification challenge problem R Ghanem, I Yadegaran, C Thimmisetty, V Keshavarzzadeh, S Masri, ... Journal of Aerospace Information Systems 12 (1), 170-188, 2015	13	2015
Hybrid topology/shape optimization under uncertainty for actively-cooled nature-inspired microvascular composites R Pejman, V Keshavarzzadeh, AR Najafi Computer Methods in Applied Mechanics and Engineering 375, 113624, 2021	12	2021
Convergence acceleration for time-dependent parametric multifidelity models V Keshavarzzadeh, RM Kirby, A Narayan SIAM Journal on Numerical Analysis 57 (3), 1344-1368, 2019	9	2019
Designed Quadrature to Approximate Integrals in Maximum Simulated Likelihood Estimation P Bansal, V Keshavarzzadeh, A Guevara, RA Daziano, S Li The Econometrics Journal, 2021	8	2021
A bandit-learning approach to multifidelity approximation Y Xu, V Keshavarzzadeh, RM Kirby, A Narayan SIAM Journal on Scientific Computing 44 (1), A150-A175, 2022	6	2022
Generation of nested quadrature rules for generic weight functions via numerical optimization: Application to sparse grids V Keshavarzzadeh, RM Kirby, A Narayan Journal of Computational Physics 400, 108979, 2020	5	2020

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