My research interests include:

Publications

Submitted:

21.  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

J20. 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)

J19. Toluwani Okunola, Mirjeta Pasha, Misha Kilmer, Melina Freitag, Efficient Dynamic Image Reconstruction with motion estimation, https://arxiv.org/abs/2501.12497 (2025)

J18. Fan Tian, Mirjeta Pasha, Misha Kilmer, Eric Miller, and Abani Patra, “Low BM-rank Tensor Completion, https://arxiv.org/abs/2402.13068, (2024)

J17. Mirjeta Pasha, Eric de Sturler, Misha Kilmer, ``Recycling MMGKS for large-scale dynamic and streaming data''. https://arxiv.org/abs/2309.15759, (2023)

J16. 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:

J15. Shiwei Lan, Mirjeta Pasha, and Shuyi Li, “Spatiotemporal Besov Priors for Bayesian Inverse Problems”. https://arxiv.org/abs/2306.16378, (to appear in JASA)

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