Approximating the Koopman Operator using Noisy Data: Noise-Resilient Extended Dynamic Mode Decomposition. - Masih Haseli; Jorge Cortés 001 (ACC, 2019)

Efficient Identification of Linear Evolutions in Nonlinear Vector Fields: Koopman Invariant Subspaces. - Masih Haseli; Jorge Cortés 001 (CDC, 2019)

Fast Identification of Koopman-Invariant Subspaces: Parallel Symmetric Subspace Decomposition. - Masih Haseli; Jorge Cortés 001 (ACC, 2020)

Data-Driven Approximation of Koopman-Invariant Subspaces with Tunable Accuracy. - Masih Haseli; Jorge Cortés 001 (ACC, 2021)

Parallel Learning of Koopman Eigenfunctions and Invariant Subspaces for Accurate Long-Term Prediction. - Masih Haseli; Jorge Cortés 001 (IEEE Trans. Control. Netw. Syst., 2021)

Learning Koopman Eigenfunctions and Invariant Subspaces From Data: Symmetric Subspace Decomposition. - Masih Haseli; Jorge Cortés 001 (IEEE Trans. Autom. Control., 2022)

Generalizing dynamic mode decomposition: Balancing accuracy and expressiveness in Koopman approximations. - Masih Haseli; Jorge Cortés 001 (Autom., 2023)

Modeling Nonlinear Control Systems via Koopman Control Family: Universal Forms and Subspace Invariance Proximity. - Masih Haseli; Jorge Cortés 001 (CoRR, 2023)

Invariance Proximity: Closed-Form Error Bounds for Finite-Dimensional Koopman-Based Models. - Masih Haseli; Jorge Cortés 001 (CoRR, 2023)

Temporal Forward-Backward Consistency, Not Residual Error, Measures the Prediction Accuracy of Extended Dynamic Mode Decomposition. - Masih Haseli; Jorge Cortés 001 (IEEE Control. Syst. Lett., 2023)

Koopman Operators in Robot Learning. - Lu Shi; Masih Haseli; Giorgos Mamakoukas; Daniel Bruder; Ian Abraham; Todd D. Murphey; Jorge Cortés 001; Konstantinos Karydis (CoRR, 2024)

Recursive Forward-Backward EDMD: Guaranteed Algebraic Search for Koopman Invariant Subspaces. - Masih Haseli; Jorge Cortés 001 (IEEE Access, 2025)