I am an engineer and
mathematician working on fundamental signal and image
processing techniques and their application to a range of
problems in science and engineering. I am particularly
interested in computational imaging, x-ray tomography,
biomedical applications and human brain mapping.
Compressed Sensing and its applications
Sparse methods in signal and image
Geometric aspects of signal and image
Bayesian and non-linear signal processing
X-ray CT imaging and reconstruction
X-ray CT for dimensional metrology
currently have several open PhD positions to work on
different aspects of x-ray computed tomography.
Two of the projects will
apply the latest compressed sensing ideas to two
problems in x-ray computed tomography with one project
on randomised algorithms and one project on
reconstruction algorithms for ultra fast tomography.
The advert for these positions can be found here.
The other position is on
the efficient modelling of x-ray scattering, with the
aim to use these models in the reconstruction of
tomographic images to avoid artefacts due to this
scattering. The position is available through our
doctoral training centre in Next
Generation Computational Modelling. The advert
can be found here.