Mohamed Aziz Boukraa
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In this work, we propose the development of an innovative processing approach based on Full Waveform Inversion (FWI). Known as a powerful tool for seismic imaging and subsurface exploration, FWI has also shown potential in medical imaging, as both fields share similar principles and techniques in signal processing. However, while historically constrained by computational burdens, advancements in technology and data science now enable its broader application.
This project aims to integrate FWI into time-harmonic shear wave elastography while also leveraging machine learning approaches, such as neural operator methods, to accelerate the computationally intensive simulations of nonlinear wavefield propagation and mode conversion. This will contribute to a significant advancement, enhancing both the efficiency and accuracy of the FWI imaging technique. An illustrative application could involve assessing cardiac health and diagnosing conditions by estimating myocardial stiffness. Validation against state-of-the-art techniques will be achieved through simulation studies, channel data recorded from elasticity phantoms, as well as in vivo data recorded using the research ultrasound scanners available in the University of Oslo laboratory.
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Publications
DSTrain publications
Previous publications
Boukraa, M. A., Caillé, L., & Delvare, F. (2025). Fading regularization method for an inverse boundary value problem associated with the biharmonic equation.?Journal of Computational and Applied Mathematics,?457, 116285. (https://doi.org/10.1016/j.cam.2024.116285.)
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Boukraa, M. A., Audibert, L., Bonazzoli, M., Haddar, H., & Vautrin, D. (2024, June). High-Resolution Seismic Imaging for Dam-Rock Interface using Full-Waveform Inversion. In?16th International Conference on Mathematical and Numerical Aspects of Wave Propagation.
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Boukraa, M. A., Bonazzoli, M., Haddar, H., Audibert, L., & Vautrin, D. (2024, June). Imaging a dam-rock interface with inversion of a full elastic-acoustic model. In?ICIPE 2024-11th International Conference on Inverse Problems in Engineering: Theory and Practice.
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Boukraa, M. A., Audibert, L., Bonazzoli, M., Haddar, H., & Vautrin, D. (2024). Imagerie d’interface barrage-fondation par inversion de forme d'onde complète. In?E3S Web of Conferences?(Vol. 504, p. 04002). EDP Sciences. (https://doi.org/10.1051/e3sconf/202450404002).
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Boukraa, M. A., Amdouni, S., & Delvare, F. (2023). Fading regularization FEM algorithms for the Cauchy problem associated with the two‐dimensional biharmonic equation.?Mathematical Methods in the Applied Sciences,?46(2), 2389-2412. (https://doi.org/10.1002/mma.8651).
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Boukraa, M. A. (2021).?Méthodes inverses à régularisation évanescente pour l'identification de conditions aux limites en théorie des plaques minces?(Doctoral dissertation, Normandie Université).
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