Symmetry-Aware Autoencoders: s-PCA and s-nlPCA. - Simon Kneer; Taraneh Sayadi; Denis Sipp; Peter J. Schmid; Georgios Rigas (CoRR, 2021)

Data-driven framework for input/output lookup tables reduction - with application to hypersonic flows in chemical non-equilibrium. - Clément Scherding; Georgios Rigas; Denis Sipp; Peter J. Schmid; Taraneh Sayadi (CoRR, 2022)

Parallel-in-time adjoint-based optimization - application to unsteady incompressible flows. - S. Costanzo; Taraneh Sayadi; Miguel Fosas de Pando; Peter J. Schmid; P. Frey (J. Comput. Phys., 2022)

Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder. - Priyam Gupta; Peter J. Schmid; Denis Sipp; Taraneh Sayadi; Georgios Rigas (CoRR, 2023)

RONAALP: Reduced-Order Nonlinear Approximation with Active Learning Procedure. - Clément Scherding; Georgios Rigas; Denis Sipp; Peter J. Schmid; Taraneh Sayadi (CoRR, 2023)

Adjoint-based optimization of two-dimensional Stefan problems. - Tomas Fullana; Vincent Le Chenadec; Taraneh Sayadi (J. Comput. Phys., 2023)

Equation-informed data-driven identification of flow budgets and dynamics. - Nataliya Sevryugina; Serena Costanzo; Stephen de Bruyn Kops; Colm-cille Caulfield; Iraj Mortazavi; Taraneh Sayadi (CoRR, 2024)

Gradient-enhanced stochastic optimization of high-fidelity simulations. - Alejandro Quirós Rodríguez; Miguel Fosas de Pando; Taraneh Sayadi (Comput. Phys. Commun., 2024)

An adaptive learning strategy for surrogate modeling of high-dimensional functions - Application to unsteady hypersonic flows in chemical nonequilibrium. - Clément Scherding; Georgios Rigas; Denis Sipp; Peter J. Schmid; Taraneh Sayadi (Comput. Phys. Commun., 2025)

UP-ROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows. - Ismaël Zighed; Nicolas Thome; Patrick Gallinari; Taraneh Sayadi (CoRR, 2025)