Alen Alexanderian, Ph.D.
Affiliations: | 2010 | Mathematics, Applied | University of Maryland, Baltimore County, Baltimore, MD, United States |
Area:
Applied MathematicsGoogle:
"Alen Alexanderian"Parents
Sign in to add mentor| Rouben Rostamian | grad student | 2010 | UMBC | |
| (Random composite media: Homogenization, modeling, simulation, and material symmetry.) | ||||
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Publications
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| Herman E, Alexanderian A, Saibaba AK. (2020) Randomization and Reweighted $\ell_1$-Minimization for A-Optimal Design of Linear Inverse Problems Siam Journal On Scientific Computing. 42 |
| Koval K, Alexanderian A, Stadler G. (2020) Optimal experimental design under irreducible uncertainty for linear inverse problems governed by PDEs Inverse Problems. 36: 75007 |
| Alexanderian A, Gremaud PA, Smith RC. (2020) Variance-based sensitivity analysis for time-dependent processes Reliability Engineering & System Safety. 196: 106722 |
| Cleaves HL, Alexanderian A, Guy H, et al. (2019) Derivative-Based Global Sensitivity Analysis for Models with High-Dimensional Inputs and Functional Outputs Siam Journal On Scientific Computing. 41 |
| Saibaba AK, Bardsley JM, Brown DA, et al. (2019) Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems Siam/Asa Journal On Uncertainty Quantification. 7: 1105-1131 |
| Vohra M, Alexanderian A, Guy H, et al. (2019) Active subspace-based dimension reduction for chemical kinetics applications with epistemic uncertainty Combustion and Flame. 204: 152-161 |
| Vohra M, Alexanderian A, Safta C, et al. (2019) Sensitivity-Driven Adaptive Construction of Reduced-space Surrogates Journal of Scientific Computing. 79: 1335-1359 |
| Alexanderian A, Saibaba AK. (2018) Efficient D-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems Siam Journal On Scientific Computing. 40 |
| Attia A, Alexanderian A, Saibaba AK. (2018) Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems Inverse Problems. 34: 95009 |
| Saad BM, Alexanderian A, Prudhomme S, et al. (2018) Probabilistic modeling and global sensitivity analysis for CO 2 storage in geological formations: a spectral approach Applied Mathematical Modelling. 53: 584-601 |