activity
20192026
most citedOn closures for reduced order models A spectrum of first-principle to machine-learned avenues

147 citations · 586 across the 23 of their papers we have counts for

collaborators

24 papers

cs.LG2026

Uncertainty-aware Multi-fidelity Closure via Conditional Normalizing Flows

Jice Zeng, Shady E. Ahmed, David Barajas-Solano +1

Reduced-order models (ROMs) provide efficient surrogates for complex multiscale systems, but their predictive accuracy is often compromised by truncation errors and the inadequate…

math.OC2023

On the dual advantage of placing observations through forward sensitivity analysis

Shady E Ahmed, Omer San, Sivaramakrishnan Lakshmivarahan +1

The four-dimensional variational data assimilation methodology for assimilating noisy observations into a deterministic model has been the workhorse of forecasting centers for over…

physics.flu-dyn2023

Forward Sensitivity Analysis and Mode Dependent Control for Closure Modeling of Galerkin Systems

Shady E. Ahmed, Omer San

Model reduction by projection-based approaches is often associated with losing some of the important features that contribute towards the dynamics of the retained scales. As a resu…

physics.comp-ph2023★ 20 cited

A Multifidelity deep operator network approach to closure for multiscale systems

Shady E. Ahmed, Panos Stinis

Projection-based reduced order models (PROMs) have shown promise in representing the behavior of multiscale systems using a small set of generalized (or latent) variables. Despite…

cs.MS2023★ 1 cited

PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments

Abhijit Chowdhary, Shady E. Ahmed, Ahmed Attia

This paper describes PyOED, a highly extensible scientific package that enables developing and testing model-constrained optimal experimental design (OED) for inverse problems. Spe…

physics.flu-dyn2022★ 1 cited

Nonintrusive reduced order modeling of convective Boussinesq flows

Pedram H. Dabaghian, Shady E. Ahmed, Omer San

In this paper, we formulate three nonintrusive methods and systematically explore their performance in terms of the ability to reconstruct the quantities of interest and their pred…