Thomas Blumensath is a Professor of Signal and Image Processing at the University of Southampton and a Fellow at the Alan Turing Institute. He is co-founder of the National Research Facility for Lab X-ray CT and is the Academic Lead in Image Processing and Reconstruction at the University of Southampton’s μ-VIS X-ray Imaging Centre.
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- I work on the development and study of 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, working 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 current research interests include efficient tomographic reconstruction, machine learning methods for tomographic imaging, spectral x-ray tomography, mulitmodal imaging, anomaly detection and related topics.
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I teach topics from fundamental Engineering Mathematics and Programming to advanced Machine Learning and Signal and Image processing.
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Thomas received a B.Sc. (Hons) in Music Technology and Audio System Design from the University in Derby in 2002 and, in 2006, a PhD in Electronic Engineering (Bayesian Signal Processing) from the University of London. Since 2005, he held various appointments as Postdoctoral Researcher and Research Fellow working at the Centre for Digital Music at Queen Mary University of London, the Institute for Digital Communications at the University of Edinburgh, the Applied Mathematics Research Group at the University of Southampton and the University of Oxford's Centre for functional MRI of the brain.
In 2012 he joined the Institute of Sound and Vibration Research, where he worked as a New Frontiers Fellow, a Lecturer (since 2015) an Associate Professor (since 2017) and a Professor (since 2022). As an engineer and mathematician, his work spans theoretical and applied aspects of Signal and Image processing, concentrating particularly on Industrial applications of computed tomography and related volumetric imaging problems.
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