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