Programs related to the project are available in github, https://github.com/ProjectWaves24/
August 2025: The meshes and dielectric properties of MM are available for download in Zenodo.
Title of the datasets:
“Finite element 3D meshes with models of melanoma growth in the skin”, DOI:10.5281/zenodo.1678
November – December 2021, 2022, 2023, 2024: Research Course “Numerical methods and machine learning algorithms for solution of inverse problems”.
https://fubasextern.gu.se/fubasextern/info?kurs=NFMV020
Master/PhD students can contact me for registration : larisa@chalmers.se
September 2024: Presentations at ICEAA2024
L. Beilina, A.Eriksson, N. Neittaanmäki, Frequency inversion method and device for malignant melanoma detection using RF/microwaves, IEEE, conference ICEAA2024, Lisboa, Portugal
E.Lindström, L. Beilina, A hybrid finite element/finite difference
method for reconstruction of dielectric properties of conductive objects, IEEE, conference ICEAA2024, Lisboa, Portugal, https://arxiv.org/pdf/2409.20257
New paper: E. Lindström, L. Beilina, Energy norm error estimates and convergence analysis for a stabilized Maxwell’s equations in conductive media, Applications of Mathematics, Springer, 2024, 10.21136/AM.2024.0248-23
New paper: L. Beilina, V. Ruas, Explicit P1 Finite Element Solution of the Maxwell-Wave Equation Coupling Problem with Absorbing b. c., Mathematics, MDPI, 2024, 10.3390/math12070936
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The 30 Jyväskylä Summer school, 9.08.2021 – 13.08.2021
Course schedule: 9-13.8.2021, everyday 13-15 AM (lecture) + 16-18(Lab). [All Finnish time]. Swedish time: everyday 12-14 AM (lecture) + 15-17(Lab).
The course in computational sciences “COM5: Machine learning in inverse and ill-posed problems”, see more info at
COM5: Machine learning in inverse and ill-posed problems
Zoom link for lectures: https://gu-se.zoom.us/j/67351656441?pwd=VjdtVzJ1ZTFlOVFnaXBieGlkTmhJQT09
Meeting ID: 673 5165 6441
P.: 746622
Computer Projects:
Project 1: Regularized algorithms for detection of tumours in microwave
medical imaging
Project 2: Regularized Least squares and machine learning algorithms for
classification problem
Project 3: Principal Component Analysis for image recognition
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May 2021: PhD position in Applied Mathematics in the field of CIPs
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November 2020 – January 2021: Course “Machine learning algorithms for inverse problems”
November – December 2019: Course “Introduction to inverse and ill-posed problems”
Registration for PhD students should be done by sending mail to
larisa@chalmers.se
and for Master’s students – sending mail to
svl.math@gu.se
The first lecture will be at 5 November, 13.15 -15.00 at MVL14 at the Dep. of Mathematics, Chalmers Tvärgata 3. Dates will be: Tuesdays, Thursdays 13.15-15.00
Examination at this course consists in the oral presentation of one of the comp.projects which can be done in groups by 2-4 students. Description of all projects:
http://waves24.com/download/