My research interests include:

Publications

Submitted:

J23. Aryeh Keating and Mirjeta Pasha, A Scalable Sequential Framework for Dynamic Inverse Problems via Model Parameter Estimation, https://arxiv.org/abs/2601.13347

J22.  Andres Galindo-Olarte, Joseph Nakao, Mirjeta Pasha, Jing-Mei Qiu, and William Taitano, A Nodal Discontinuous Galerkin Method with Low-Rank Velocity Space Representation for the Multi-Scale BGK Model, https://arxiv.org/abs/2508.16564

J21. Jonathn Lndbloom, Mirjeta Pasha, Jan Glaubitz, Youssef Marzouk, Priorconditioned Sparsity-Promoting Projection Methods for Deterministic and Bayesian Linear Inverse Problems, https://arxiv.org/html/2505.01827v1 (2025)

J20. Toluwani Okunola, Mirjeta Pasha, Misha Kilmer, Melina Freitag, Efficient Dynamic Image Reconstruction with motion estimation, https://arxiv.org/abs/2501.12497 (2025)

J19. Fan Tian, Mirjeta Pasha, Misha Kilmer, Eric Miller, and Abani Patra, “Low BM-rank Tensor Completion, https://arxiv.org/abs/2402.13068, (2024)

J18. Mirjeta Pasha, Eric de Sturler, Misha Kilmer, ``Recycling MMGKS for large-scale dynamic and streaming data''. https://arxiv.org/abs/2309.15759, (2023)

J17. Malena Espanol and Mirjeta Pasha, “An $\ell_p$ Variable Projection Method for Large-Scale Separable Nonlinear Inverse Problems.”, https://arxiv.org/abs/2105.14155 (2022)


Published and Accepted:

J16. Shiwei Lan, Mirjeta Pasha, and Shuyi Li, “Spatiotemporal Besov Priors for Bayesian Inverse Problems”. https://arxiv.org/abs/2306.16378, (to appear in JASA)

J15. Alessandro Buccini, Silvia Gazzola, Lucas Onisk, Mirjeta Pasha, and Lothar Reichel, Projected iterated Tikhonov in general form with adaptive choice of the regularization parameter, Numerical Algorithms.

J14. Alessandro Buccini, Fei Chen, Mirjeta Pasha, and Lothar Reichel, Krylov Subspace Based FISTA‐Type Methods for Linear Discrete Ill‐Posed Problems. Numerical Linear Algebra with Applications 32, no. 1 (2025): e2610.

J13. Mirjeta Pasha, Silvia Gazzola, Connor Sanderford, and Ugochukwu O. Ugwu, TRIPs-Py: Techniques for regularization of inverse problems in python. Numerical Algorithms (2024): 1-38.

J12. Malena Espanol and Mirjeta Pasha, ``Variable Projection Methods for General-form Regularized Separable Nonlinear Inverse Problems”, (Inverse Problems), 10.1088/1361-6420/acdd1b (2023).

J11. Shiwei Lan, Shuyi Li, and Mirjeta Pasha, ``Bayesian Spatio-temporal Modeling for Inverse Problems.” (Statistics and Computing) https://doi.org/10.1007/s11222-023-10253-z (2023)

J10. Mirjeta Pasha, Arvind Saibaba, Silvia Gazzola, Malena Espanol, and Eric de Sturler, ``Efficient Edge-preserving Methods for Dynamic Inverse Problems.”, (to appear, Electronic Transactions on Numerical Analysis (ETNA)), 10.1553/etna_vol58s486 (2023)

J9. Hussam Al Daas, Grey Ballard, Paul Cazeaux, Eric Hallman, Agnieszka Miedlar, Mirjeta Pasha, Timothy Reid, and Arvind Saibaba, ``Randomized Algorithms for Rounding in the Tensor-Train Format.", (SIAM Journal on Scientific Computing, 2022). https://doi.org/10.1137/21M1451191 (2023)

J8. Mohammad Abbasi, Connor R Sanderford, Narendiran Raghu, Mirjeta Pasha, and Benjamin B Bartelle, ``Sparse Representation Learning Derives Biological Features with Explicit Gene Weights from the Allen Mouse Brain Atlas.”  (PLOS ONE) https://www.biorxiv.org/content/10.1101/2021.10.11.464002v4 (2023)

J7. Yunan Yang, Levon Nurbekyan, Elisa Negrini, Robert Martin, and Mirjeta Pasha, ``Optimal Transport for Parameter Identification of Chaotic Dynamics via Invariant Measures.”, (SIAM Journal on Applied Dynamical Systems), https://doi.org/10.1137/21M1421337, (2023). 

J6. Julianne Chung, Matthias Chung, Silvia Gazzola, and Mirjeta Pasha, ``Efficient Learning Methods for Large-scale Optimal Inversion Design.”, (to appear, AIMS Numerical Algebra, Control and Optimization). https://doi.org/10.3934/naco.2022036 (2022)

J5. David Austin, Malena Espanol, and Mirjeta Pasha, ``The Image Deblurring Problem: Matrices, Wavelets, and Multilevel Methods”, (Notices of AMS) https://doi.org/10.1090/noti2534, (2022).

J4. Mirjeta Pasha, Shyla Kupis, Sanwar Ahmad, and Taufiquar Khan, ``A Krylov Subspace-type Method for Electrical Impedance Tomography.”, (Mathematical Modelling and Numerical Analysis), https://doi.org/10.1051/m2an/2021057 (2021).

J3. Alessandro Buccini, Mirjeta Pasha, and Lothar Reichel, ``Generalized Singular Value Decomposition with Iterated Tikhonov Regularization.”, Journal of Computational and Applied Mathematics 373: 112276. https://doi.org/10.1016/j.cam.2019.05.024 (2020)

J2. Alessandro Buccini, Mirjeta Pasha, and Lothar Reichel, ``Linearized Krylov subspace Bregman Iteration with Nonnegativity Constraint.”, Numerical Algorithms . https://doi.org/10.1007/s11075-020-01004-6 (2020).

J1. Alessandro Buccini, Mirjeta Pasha, and Lothar Reichel, ``Modulus-based Iterative Methods for Constrained $\ell_p-\ell_q$ Minimization.”, Inverse Problmes 36 (8). https://doi.org/10.1088/1361-6420/ab9f86 (2020).

Software:

S1 Mirjeta Pasha, Silvia Gazzola, Connor Sanderford, and Ugochukwu O. Ugwu, TRIPs-Py: Techniques for Regularization of Inverse Problems in Python. 

https://github.com/trips-py/trips-py

S2 Shiwei Lan, Shuyi Li, and Mirjeta Pasha, “Bayesian Spatio-temporal Modeling for Inverse Problems”, https://github.com/lanzithinking/Spatiotemporal-inverse-problem

S3 Hussam Al Daas, Grey Ballard, Paul Cazeaux, Eric Hallman, Agnieszka Miedlar, Mirjeta Pasha, Timothy Reid, and Arvind Saibaba “Randomized Algorithms for Rounding in the Tensor-Train format.” https://github.com/SAMSI-RandTensors/randomizedTT

S4 David Austin, Malena Espanol, and Mirjeta Pasha, AMS Notices article “The Image Deblurring Problem: Matrices, Wavelets, and Multilevel Methods”, https://github.com/ipiasu/AMS_Notices_AEP