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Shady E. Ahmed
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2020 – today
- 2025
[i11]Paul Jeanney, Ashton Hetherington, Shady E. Ahmed, David Lanceta, Susana Saiz, José Miguel Pérez, Soledad Le Clainche:
Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics. CoRR abs/2507.00539 (2025)- 2024
[j3]Abhijit Chowdhary
, Shady E. Ahmed
, Ahmed Attia
:
PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments. ACM Trans. Math. Softw. 50(2): 11:1-11:22 (2024)
[i10]Benjamin Sanderse, Panos Stinis, Romit Maulik
, Shady E. Ahmed:
Scientific machine learning for closure models in multiscale problems: a review. CoRR abs/2403.02913 (2024)- 2023
[j2]Shady E. Ahmed, Omer San
:
Forward sensitivity analysis and mode dependent control for closure modeling of Galerkin systems. Comput. Math. Appl. 145: 289-302 (2023)
[j1]Shady E. Ahmed
, Omer San
, Adil Rasheed
, Traian Iliescu, Alessandro Veneziani
:
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. SIAM J. Sci. Comput. 45(3): 283-313 (2023)
[i9]Ahmed Attia, Shady E. Ahmed:
PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments. CoRR abs/2301.08336 (2023)
[i8]Shady E. Ahmed, Panos Stinis:
A Multifidelity deep operator network approach to closure for multiscale systems. CoRR abs/2303.08893 (2023)
[i7]Shady E. Ahmed, Omer San
, Sivaramakrishnan Lakshmivarahan, John M. Lewis:
On the dual advantage of placing observations through forward sensitivity analysis. CoRR abs/2305.00300 (2023)
[i6]Amanda A. Howard, Sarah H. Murphy, Shady E. Ahmed, Panos Stinis:
Stacked networks improve physics-informed training: applications to neural networks and deep operator networks. CoRR abs/2311.06483 (2023)- 2022
[i5]Shady E. Ahmed, Omer San
, Diana Alina Bistrian, Ionel Michael Navon:
Sketching Methods for Dynamic Mode Decomposition in Spherical Shallow Water Equations. CoRR abs/2201.04084 (2022)
[i4]Shady E. Ahmed, Omer San
, Adil Rasheed
, Traian Iliescu, Alessandro Veneziani:
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. CoRR abs/2205.12419 (2022)- 2021
[i3]Shady E. Ahmed, Omer San
, Adil Rasheed, Traian Iliescu:
Nonlinear proper orthogonal decomposition for convection-dominated flows. CoRR abs/2110.08295 (2021)- 2020
[i2]Shady E. Ahmed, Omer San
, Kursat Kara, Rami M. Younis, Adil Rasheed:
Interface learning of multiphysics and multiscale systems. CoRR abs/2006.10112 (2020)
[i1]Shady E. Ahmed, Suraj Pawar, Omer San
, Adil Rasheed, Mandar V. Tabib:
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. CoRR abs/2008.03157 (2020)
Coauthor Index

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