Research Interests
Regularization methods for large scale inverse problems, Linear and multilinear algebra, Optimization, Krylov subspace methods, Statistics and machine learning, Randomized methods, Uncertainty quantification, Deep Learning.
Submitted
J30. Mirjeta Pasha, Eric de Sturler, and Misha Kilmer, "A Provably Convergent MM-GKS Variant for Large-Scale Inverse Problems", https://arxiv.org/abs/2609.17229 (2026)
J29. Alberto Bucci, Martina Iannacito, Mirjeta Pasha, and Rudi Smith, "Randomized Tucker-Sketched GMRES", https://arxiv.org/abs/2608.11091 (2026)
J28. Davide Palitta and Mirjeta Pasha, "A Sketched Generalized Krylov Subspace Method for Large-Scale Regularization", https://arxiv.org/abs/2606.18073 (2026)
J27. Toluwani Okunola, Mirjeta Pasha, Misha E. Kilmer, Eric de Sturler, and James Nagy, "Nonlinear RMM-GKS for Large-Scale Dynamic and Streaming Inverse Problems with Uncertain Forward Operators", https://arxiv.org/abs/2605.06336 (2026)
J26. Toluwani Okunola, Mirjeta Pasha, and Misha E. Kilmer, "An Efficient Cumulative Edge-Detection Method for Image Reconstruction",
https://arxiv.org/abs/2603.15151 (2026)
J25. Rudi Smith, Mirjeta Pasha, Andrés Galindo-Olartelard, Joseph Nakao, Jing-Mei Qiu, and William Taitano, "Efficient Sketching-Based Summation of Tucker Tensors", https://arxiv.org/abs/2603.13532 (2026)
J24. Ryan Bentley, Mirjeta Pasha, Malena Sabaté Landman, Luisa Yang, and Jeffery Zhang, "Hybrid ABBA-GMRES for Unmatched Backprojectors in Large Scale X-Ray Computerized Tomography", https://arxiv.org/abs/2602.17892 (2026)
J23. Aryeh Keating and Mirjeta Pasha, "A Scalable Sequential Framework for Dynamic Inverse Problems via Model Parameter Estimation", https://arxiv.org/abs/2601.13347 (2026)
J22. Andrés Galindo-Olarte, Joseph Nakao, Mirjeta Pasha, Jing-Mei Qiu, and William Taitano, "A Nodal Discontinuous Galerkin Method with Rank-Adaptive Velocity Space Representation for the Multiscale BGK Model
: arxiv.org/abs/2508.16564 (2025)
J21. Jonathan Lindbloom, Mirjeta Pasha, Jan Glaubitz,orconditioned Sparsity-Promoting Projection Methodsfor Deterministic and Bayesian Linear Inverse Problems," https://arxiv.org/abs/2505.01827 (2025)
J20. Toluwani Okunola, Mirjeta Pasha, Misha Kilmer, and Melina Freitag, "Efficient Dynamic Image Reconstruction with Motion
Estimation," https://arxiv.org/abs/2501.12497 (2025)
J19. Fan Tian, Mirjeta Pasha, Misha E. Kilmer, Eric Mensor Completion with BMD Factor Nuclear NormMinimization," https://arxiv.org/abs/2402.13068 (2024)
J18. Mirjeta Pasha, Eric de Sturler, and Misha Kilmer, "Recycling MMGKS for Large-Scale Dynamic and Streaming Data,"
https://arxiv.org/abs/2309.15759 (2023)
J17. Malena Español 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, Shuyi Li, and Weining Shen, "Spatiotemporal Besov Priors for Bayesian Inverse Problems," Journal of
the American Statistical Association, 1–30 (2025).
J15. Alessandro Buccini, Silvia Gazzola, Lucas Onisk, Reichel, "Projected Iterated Tikhonov in General Form with Adaptive Choice of the Regularization Parameter," Numerical Algorithms 100(4), 1617–1637 (2025)
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.
J13. Mirjeta Pasha, Silvia Gazzola, Connor Sanderford and Ugochukwu O. Ugwu, TRIPs-Py: Techniques for Regularization of Inverse Problems in Python", Numerical Algorithms 99(1), 285–322 (2025)
J12. Malena Español and Mirjeta Pasha, "Variable Projection Methods for General-Form Regularized Separable Nonlinear Inverse Problems", Inverse Problems 39(8), 084002 (2023)
J11. Shiwei Lan, Shuyi Li, and Mirjeta Pasha, "Bayesian spatiotemporal modeling for inverse problems", Statistics and Computing33(4), 89 (2023).
J10. Mirjeta Pasha, Arvind K. Saibaba, Silvia Gazzola, Malena Español, and Eric de Sturler, "Efficient Edge-Preserving Methods for
Dynamic Inverse Problems," Electronic Transactions on 58, 486–516 (2023). https://doi.org/10.1553/etna_vol58s486
J9. Hussam Al Daas, Grey Ballard, Paul Cazeaux, Eric Hallman, Agnieszka Międlar, Mirjeta Pasha, Timothy Reid, and Arvind K. Saibaba,
"Randomized Algorithms for Rounding in the Tensor-Tran Scientific Computing 45(1), A74–A95 (2023). https://doi.org/10.1137/21M1451191
J8. Mohammad Abbasi, Connor R. Sanderford, Narendiran Raghu, Mirjeta Pasha, and Benjamin B. Bartelle, "Sparse Representation Learning
Derives Biological Features with Explicit Gene Weightin Atlas," PLOS ONE 18(3)
J7. Yunan Yang, Levon Nurbekyan, Elisa Negrini, Robera, "Optimal Transport for Parameter Identification ofChaotic Dynamics via Invariant Measures," SIAM Journal on Applied Dynamical Systems 22(1), 269–310 (2023).
https://doi.org/10.1137/21M1421337
J6. Julianne Chung, Matthias Chung, Silvia Gazzola, ant Learning Methods for Large-Scale Optimal InversionDesign," AIMS Numerical Algebra, Control and Optimization (2022). https://doi.org/10.3934/naco.2022036
J5. David Austin, Malena Español, and Mirjeta Pasha, "The Image Deblurring Problem: Matrices, Wavelets, and Multilevel Methods,"
Notices of the American Mathematical Society
J4. Mirjeta Pasha, Shyla Kupis, Sanwar Ahmad, and Tauspace-Type Method for Electrical ImpedanceTomography," ESAIM: Mathematical Modelling and Numerical Analysis 55(6), 2827–2847 (2021). https://doi.org/10.1051/m2an/2021057
J3. Alessandro Buccini, Mirjeta Pasha, and Lothar Reichel, "Linearized Krylov Subspace Bregman Iteration with Nonnegativity
Constraint," Numerical Algorithms
J2. Alessandro Buccini, Mirjeta Pasha, and Lothar Reichel, Singular Value Decomposition with Iterated Tikhonov Regularization", Journal of Computational and Applied Mathematics 373, 112276 (2020). https://doi.org/10.1016/j.cam.2019.05.024
J1. Alessandro Buccini, Mirjeta Pasha, and Lothar Reichel, "Modulus-Based Iterative Methods for Constrained $\ell_p$–$\ell_q$
Minimization," Inverse Problems 36(8), 084001 (2020).
Software
S1. Mirjeta Pasha, Silvia Gazzola, Connor Sanderford,IPs-Py: Techniques for Regularization of InverseProblems 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 , Mirjeta Pasha, Timothy Reid, and Arvind K. Saibaba,Randomized Algorithms for Rounding in the Tensor-Train Format. https://github.com/SAMSI-RandTensors/randomizedTT
S4. David Austin, Malena Español, and Mirjeta Pasha, AMS Notices article "The Image Deblurring Problem: Matrices, Wavelets, and Multilevel Methods", https://github.com/ipiasu/AMS_Notices_AEP
