Mohamed Aziz Boukraa

Aziz Boukraa

 

Postdoctoral Fellow

Research group | Digital Signal Processing and Image Analysis (DSB)
Main supervisor | Sven Peter N?sholm
Co-supervisor | -
Affiliation | Department of Informatics, UiO
Contact | mohambo@ifi.uio.no


Short bio

I completed my PhD in applied mathematics at the University of Caen Normandy in France, where I focused on applying regularization methods to data completion problems in structural mechanics. Following that, I worked on seismic data processing for imaging of bedrocks in a collaborative project between the French National Institute for Research in Digital Science and Technology (INRIA) in Paris and the French energy company (EDF).

Now, as a postdoctoral research fellow at UiO under the DSTrain programme, I am shifting to a smaller-scale context, working on medical ultrasound elastography. My goal is to adapt seismic processing techniques, such as Full-Waveform Inversion, to estimate the physical properties of tissues—essential for tumor detection—while incorporating neural networks to accelerate simulations and improve data analysis.

Research interests and hobbies

Broadly speaking, I am interested in applied mathematics, with a particular focus on inverse problems and imaging. My work centers on developing non-invasive methods to recover incomplete or inaccessible information from a limited set of measurements. This often involves using non-destructive waves and applying regularization techniques to address the inherent ill-posedness of these problems.

My current work aims to develop full-waveform based inversion, as a quantitative reconstruction algorithm, in the context of ultrasound elastography. Additionally, I plan to leverage machine learning techniques, such as neural operator methods, to speed up the computationally intensive simulations of nonlinear wavefield propagation.

Outside of research, I enjoy playing football, hiking, cooking, as well as traveling to discover new cultures.

DSTrain project

Full Waveform Inversion for Time-Harmonic Elastography using ultrasound shear waves

 

Publications

DSTrain publications

Previous publications

Published Dec. 10, 2024 2:43 PM - Last modified Dec. 10, 2024 2:43 PM