Larisa Beilina
Books
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L. Beilina, E. Karchevskii, M. Karchevskii.
Numerical Linear Algebra: theory and applications, Springer, 2017.
- L. Beilina and M. V. Klibanov. Approximate global convergence and adaptivity for Coefficient Inverse Problems, Springer, New York, 2012
- Applied Inverse Problems Series: Springer Proceedings in Mathematics & Statistics Vol. 48, Beilina, Larisa (Ed.), DOI 10.1007/978-1-4614-7816-4, 2013
- Inverse Problems and Large-Scale Computations, Series: Springer Proceedings in Mathematics & Statistics, Vol. 52, Beilina, Larisa; Shestopalov, Yury V. (Eds.), DOI: 10.1007/978-3-319-00660-4, 2013
- Inverse Problems and Applications, Series: Springer Proceedings in Mathematics & Statistics, Vol. 120, Beilina, Larisa (Ed.), ISBN 978-3-319-12499-5, 2015
Supervision of students
PhD students
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Eric Lindström (main advisor) 2022 - present
Tarun Sharma (co-supervisor) 2023 - present
John Bondestam Malmberg (main advisor) 2012- 2017
Christoffer Standar (co-supervisor) 2012- 2017
Marte Pernille Hatlo Andresen (co-supervisor) 2007- 2012
Nikolay Koshev (co-supervisor) 2010- 2012
Master students (supervisor)
Rani Alsaberi (2024) Rehne Köhle (2024) Filip Dahlen (2023) Rebecca Gedda (2021) Themis Mouliakos (2019) Martin Eriksson (2017) Carl Persson (2016) Samar Hosseinzadegan (2015)Master students (examiner)
Rani Alsaberi (2024) Ruben Frilund, Zackarias Olofsson (2024)-
Filip Dahlen (2023)
Vincent Molin (2022)
Joel Harf Abili, Marco Cuskic (2022)
Rebecca Gedda (2021)
Themis Mouliakos (2019)
Martin Eriksson (2017)
Carl Persson (2016)
Samar Hosseinzadegan (2015)
Research Projects
Available PhD/PostDoc positions
New!!!! December 2024: New PhD position is open now for the project "Adaptive algorithms for inverse problems with applications in medical imaging". Apply electronically at the link: Doktorandplats i beräkningsmatematik, Diarienummer PAR 2024/1137 or at the link: Doctoral student in computational mathematics, Reference number PAR 2024/1137. Short presentation of the project is at this link.
Current projects
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Efficient algorithms for microwave imaging based on a new non-local optimization approach supported by the Swedish Research Council
Previously I was the head of the following projects:
- Adaptive Finite Element Methods for the solutions of Inverse Problems; supported by the Swedish Institute, Visby Program.
- Global convergence and adaptive finite element methods for the solution of Coefficient Inverse Problems for Maxwell equations; supported by the Swedish Research Council
- WavES supported by the Swedish Institute and by the Swedish Research Council