I develop and study advanced algorithms that can solve challenging inverse problems by efficiently exploiting complex prior information. Using techniques from mathematics, statistics and machine learning, my work concentrates primarily on problems in x-ray tomographic image reconstruction and modelling.
I work closely with state-of-the-art imaging facilities (µ-VIS, the National Research Facility in Lab-based XCT, the UK’s synchrotron facility at the Diamond Light Source, and ISIS neutron imaging beamline) to find practical solutions to a range of important scientific problems from plant science to manufacturing.
My research interests cover areas such as: Theoretical and computational methods for Signal and Image Processing (Machine Learning, Compressed Sensing, Statistical Signal and Image Processing, Quantum Computing, Inverse Problems, Optimisation, X-ray Tomographic Imaging); Advanced tomographic imaging strategies: (limited angle tomography and laminography, Spectral X-ray imaging, Stereo and extreme limited view tomography); Efficient computational methods for tomographic reconstruction, including GPU acceleration, distributed computation and advanced optimisation strategies, Constrained optimisation for ill-conditioned and underdetermined tomographic inverse problems, Applications of X-ray tomography to the inspection of manufactured components, Multimodal tomographic imaging
Understanding and improving the distribution of goods and the management of freight vehicles in urban areas, including the supply of goods to hospitals and the use of consolidation centres;
How optimisation techniques can be used to improve system efficiency and in what ways Intelligent Transport Systems (smart tagging of assets and the use of smartphones) can improve operating efficiency;
Approaches to more effectively collect and manage the movement of waste in terms of both household domestic waste collection strategies, Household Waste Recycling Centre (HWRC) management and joint domestic/commercial waste collection strategies. He has worked on a number of research projects in these specific areas: (Department for Transport grant PPAD 9/142/034, ‘Optimising vehicles undertaking waste collections' GR/S79626/01, SUE project 55 ‘Transport and Logistics'; EP/D043328/1, ‘Green Logistics'.
