| PyClaw: Accessible, extensible, scalable tools for wave propagation problems DI Ketcheson, K Mandli, AJ Ahmadia, A Alghamdi, MQ de Luna, ... SIAM Journal on Scientific Computing 34 (4), C210-C231, 2012 | 94 | 2012 |
| Bayesian poroelastic aquifer characterization from InSAR surface deformation data. Part I: Maximum a posteriori estimate A Alghamdi, MA Hesse, J Chen, O Ghattas Water Resources Research 56 (10), e2020WR027391, 2020 | 30 | 2020 |
| PetClaw: A scalable parallel nonlinear wave propagation solver for Python A Alghamdi, A Ahmadia, DI Ketcheson, M Knepley, K Mandli, L Dalcin 19th High Performance Computing Symposium (HPC 2011), 2011 | 21 | 2011 |
| Bayesian Poroelastic Aquifer Characterization from InSAR Surface Deformation Data Part II: Quantifying the Uncertainty A Alghamdi, M Hesse, J Chen, U Villa, O Ghattas arXiv:2102.04577, 2021 | 15* | 2021 |
| Using Python to construct a scalable parallel nonlinear wave solver K Mandli, A Alghamdi, A Ahmadia, DI Ketcheson, W Scullin THE 10th PYTHON IN SCIENCE CONF.(SCIPY 2011), 2011 | 7 | 2011 |
| CUQIpy-Part I: computational uncertainty quantification for inverse problems in Python NAB Riis, A Alghamdi, F Uribe, SL Christensen, B Afkham, PC Hansen, ... Inverse Problems, 2023 | 4 | 2023 |
| CUQIpy-Part II: computational uncertainty quantification for PDE-based inverse problems in Python A Alghamdi, NAB Riis, B Afkham, F Uribe, SL Christensen, PC Hansen, ... Inverse Problems, 2023 | 3 | 2023 |
| Bayesian Inverse Problems for Quasi-Static Poroelasticity with Application to Ground Water Aquifer Characterization from Geodetic Data A Alghamdi The University of Texas at Austin, 2020 | 3 | 2020 |
| Optimal design of photonic nanojets under uncertainty AMA Alghamdi, P Chen, M Karamehmedović arXiv preprint arXiv:2209.02454, 2022 | 2 | 2022 |
| Accessible, extensible, scalable tools for wave propagation problems DI Ketcheson, KT Mandli, A Ahmadia, A Alghamdi, M Quezada, M Parsani, ... SIAM J Sci Comput.[submitted for publication], 2011 | 2 | 2011 |
| Democratizing Uncertainty Quantification L Seelinger, A Reinarz, MB Lykkegaard, AMA Alghamdi, D Aristoff, ... arXiv preprint arXiv:2402.13768, 2024 | | 2024 |
| CUQIpy: I. Computational uncertainty quantification for inverse problems in Python NAB Riis, AMA Alghamdi, F Uribe, SL Christensen, BM Afkham, ... Inverse Problems 40 (4), 045009, 2024 | | 2024 |
| Optimization under uncertainty for the Helmholtz equation with application to photonic nanojets configuration AMA Alghamdi, P Chen, M Karamehmedovic 11th Applied Inverse Problems Conference, 2023 | | 2023 |
| Control of Solutions of the Helmholtz Equation by Refractive Index Profile Optimization Under Manufacturing Uncertainty AMA Alghamdi, M Karamehmedovic SIAM Conference on Imaging Science 2022, 2022 | | 2022 |
| Bayesian Inference of Groundwater Aquifer Parameters via InSAR Data, High-Dimensional Poroelastic Models, and Dimension-Invariant MCMC Methods A Alghamdi, MA Hesse, J Chen, O Ghattas AGU Fall Meeting Abstracts 2020, H037-0007, 2020 | | 2020 |
| Bayesian Framework for Geodetic Characterization of Lateral Aquifer Heterogeneity A Alghamdi, MA Hesse, J Chen, O Ghattas AGU Fall Meeting Abstracts 2019, NS43A-07, 2019 | | 2019 |
| Bayesian inversion of heterogeneous aquifer properties from GPS andInSAR data using poroelastic subsurface models A Alghamdi, MA Hesse, J Chen, O Ghattas AGU Fall Meeting Abstracts 2018, G32A-08, 2018 | | 2018 |
| PetClaw: Parallelization and Performance Optimization of a Python-Based Nonlinear Wave Propagation Solver Using PETSc AM Alghamdi | | 2012 |
| Optimization under uncertainty for the Helmholtz equation with application to PNJ configuration A Alghamdi, P Chen, PE Hansen, M Karamehmedovic | | |
