- Lecturer in the Nuclear Engineering group, department of mechanical engineering: 2012
- Royal Academy of Engineering research fellow in the Department of Earth Science and Engineering: 2007-2012
- Arthur William Groves research fellow in the Department of Earth Science and Engineering: 2004-2007
- Judd Prize for PhD research: 2001
- PhD, DIC, Computational Physics (Imperial College): 1998-2004
- MSci, ARCS, Physics (Imperial College): 1993-1997
Recent Measures of Esteem
- 2007-12 Royal Academy of Engineering/EPSRC Research Fellowship
Dr Eaton's research interests encompass: stochastic PDEs, uncertainty quantification, random processes, reactor noise, radiation transport in multiphase materials, high performance computing (HPC), GPUs and multicore distributed computing algorithms, radiative transfer, nuclear reactor physics, radiation shielding, nuclear criticality safety assessment, nuclear security and safeguards, fissile liquid and powder modelling, Generation IV NPP technology, SMR NPP technology, computational radiation transport (CRT), computational fluid dynamics (CFD), severe accident and nuclear safety, nuclear design optimisation, artificial neural networks (ANN), low source start-up and power ascension and radionuclide transport.
Matthew is the NEA databank representative for Imperial College and as such deals with the dissemination of nuclear data, computer programs and associated documentation.
et al., 2017, A geometry preserving, conservative, mesh-to-mesh isogeometric interpolation algorithm for spatial adaptivity of the multigroup, second-order even-parity form of the neutron transport equation, Journal of Computational Physics, Vol:347, ISSN:0021-9991, Pages:129-146