Dr Caroline Shenton-Taylor
About
Biography
Caroline is a Applied Nuclear Physics Senior Lecturer and leads the Nuclear Applications and AI ¿Û¿Û´«Ã½ Group, addressing challenges within nuclear security, nuclear decommissioning, nuclear forensics, nuclear medicine and health monitoring.
Alongside her research and teaching, Caroline is passionate about scientific exchange and runs the She was the season 2 and 3 , and has contributed to Radio 4, local radio and numerous festival and outreach events. Explore more of Caroline's outreach work on her
Caroline obtained her PhD in the field of Magnetic Compton Scattering in 2007 from the University of Warwick. Working with synchrotron X-rays, she explored a range of magnetic materials with applications including enhanced computer memory and innovative refrigeration. From 2007 to 2017 Caroline transitioned into industry, leading a diverse portfolio of scientific research projects on behalf of the UK Ministry of Defence and UK Home Office. Throughout this time Caroline was the Team and Technical Lead for an interdisciplinary research team, focused on the development of novel methods to detect the presence of radiological and nuclear materials. in 2017 she joined the ¿Û¿Û´«Ã½ forming the Nuclear Applications and AI team.
Areas of specialism
University roles and responsibilities
- MPhys Placement Lead (Sept 2023 - on)
- Physics Undergraduate Admissions Tutor 2018-2023
- Acting Senior Tutor for Professional Training Jan-Sept 2018
- Institute of Physics IOP Mentor (2009 onwards)
My qualifications
Previous roles
ResearchResearch interests
Active research
- 2022-2025, Optimisation of AI for cancer screening lead for the ¿Û¿Û´«Ã½ in collaboration with and , and the
- 2023-2024, Data analytics and AI for optimised radiation detection principal investigator for the ¿Û¿Û´«Ã½ and part of the
- 2023-2026, Automated Decision Making to Streamline Radioisotope Identification
- 2023-2027, Optimisation of radiation health monitoring through machine learning and data fusion part of
- 2022-2025, Enhanced nuclear fuel monitoring, part of the supervisory team in collaboration with the
Past projects
- Machine learning techniques for nuclear decommissioning lead in collaboration with the ¿Û¿Û´«Ã½ Chemistry Department, and part of the | 2019-2023
- Optimised scintillator section through fuzzy logic principal investigator for the ¿Û¿Û´«Ã½ in collaboration with the | 2021
- Quantum dot enhanced detection technology principal investigator for the ¿Û¿Û´«Ã½ | 2017-2021
- Innovative alpha detection for environmental applications principal investigator for the ¿Û¿Û´«Ã½ using | 2018-2019
- Thermoluminescence of fibres and beads for radiation dosimetry lead for the ¿Û¿Û´«Ã½ | 2018-2022
Research collaborations
Caroline has collaborated and exchanged scientific ideas with a wide range of organisations including:
- - Physics Department
- - Maths Department
- - Physics Department
- - Physics Department
- t
Indicators of esteem
Lynne Millward Academic Staff Member of the Year 2023
MoD Chief Scientific Advisers Commendation Award 2011
Famelab 2014 UK National Winner
British Aerospace Engineering Chairman's Award 2010
International Famelab 2014 Audience Winner
Hall of Famelab 2017 Reserve
Research interests
Active research
- 2022-2025, Optimisation of AI for cancer screening lead for the ¿Û¿Û´«Ã½ in collaboration with and , and the
- 2023-2024, Data analytics and AI for optimised radiation detection principal investigator for the ¿Û¿Û´«Ã½ and part of the
- 2023-2026, Automated Decision Making to Streamline Radioisotope Identification
- 2023-2027, Optimisation of radiation health monitoring through machine learning and data fusion part of
- 2022-2025, Enhanced nuclear fuel monitoring, part of the supervisory team in collaboration with the
Past projects
- Machine learning techniques for nuclear decommissioning lead in collaboration with the ¿Û¿Û´«Ã½ Chemistry Department, and part of the | 2019-2023
- Optimised scintillator section through fuzzy logic principal investigator for the ¿Û¿Û´«Ã½ in collaboration with the | 2021
- Quantum dot enhanced detection technology principal investigator for the ¿Û¿Û´«Ã½ | 2017-2021
- Innovative alpha detection for environmental applications principal investigator for the ¿Û¿Û´«Ã½ using | 2018-2019
- Thermoluminescence of fibres and beads for radiation dosimetry lead for the ¿Û¿Û´«Ã½ | 2018-2022
Research collaborations
Caroline has collaborated and exchanged scientific ideas with a wide range of organisations including:
- - Physics Department
- - Maths Department
- - Physics Department
- - Physics Department
- t
Indicators of esteem
Lynne Millward Academic Staff Member of the Year 2023
MoD Chief Scientific Advisers Commendation Award 2011
Famelab 2014 UK National Winner
British Aerospace Engineering Chairman's Award 2010
International Famelab 2014 Audience Winner
Hall of Famelab 2017 Reserve
Supervision
Postgraduate research supervision
PhD students, Primary Supervisor
- L Tomaszewski, started 2024, Optimisation of radiation health monitoring through machine learning and data fusion
- J Wroe-Brown, started 2023, Automated Decision Making to Streamline Radioisotope Identification.
- A Worthy, started 2022, Development and use of new and derived data to facilitate the optimisation and evaluation of breast screening AI tools.
- A Hickman, started 2022, Assessing the reliability of AI for predicting the risk of breast cancer.
- L Lee-Brewin, 2019-2023, Machine Learning Techniques Applied to Challenging Gamma Spectra
- C Termsuk, 2018-2022 Silica based fibres for radiation dosimetry
- C Grove, 2017-2021 Quantum Dot Loaded Nanocomposite Plastic Scintillators,
- K Ley, 2016-2020, Thermoluminescence of silica beads for dosimetry up to 250 kGy, formerly with Dr Lohstroh
- S Parsons Detecting ionizing radiation with polarising light (completed 2017) Industry supervisor
General topics for future UG, MSc and PhD projects
- Fuzzy logic for nuclear applications
- Convolutional neutral networks applied to Nuclear Security
- Machine leaning within Nuclear Medicine
- Use of automatic AI code generation for the Nuclear Industry
- AI Deep Learning methods
- Genetic algorithms, sparse data techniques
Teaching
Current Teaching
- U/G Year 1 (Level 4) Fundamentals of Physics - Module Lead
- U/G Year 4 (Level 7) MPhys Dissertation - Module Lead
- U/G Year 3 (Level 6) STEM Education & Public Engagement - Module Lead
- U/G Year 3 (Level 6) Interim MPhys Report - Module Lead
- MSc Course (Level 7) Extended Group Project - Module Tutor
Supervisions
- PhD supervision
- MSc Dissertation Project supervision
- MPhys ¿Û¿Û´«Ã½ing Tutor
- BSc Final Year Project supervision
- Professional Training Year (PTY) ¿Û¿Û´«Ã½ing Tutor
- Personal Tutor
Past Teaching
- U/G Year 1 (Level 4) Small Group Tutorial Classes
- MSc Radiation Laboratory (Level 7) & , part of academic supervisory team
Publications
Highlights
Over 120 authored technical industrial reports (2007-2017)
Examples of co-authored publications/articles/proceedings are listed below.
Developing feed‑forward neural networks to perform identification on a wide variety of radionuclides in gamma spectra (2025) | J Wroe-Brown, C Shenton-Taylor
Assessing the generalisation of artificial intelligence across mammography manufacturers (2025) | A J Hickman, S Gomes, L M Warren, N A S Smith, C Shenton-Taylor
Validation of simulated training sets using a convolutional neural network for isotope identification in urban environments (2025) L Lee-Brewin, R Holden, C Shenton-Taylor
Synthesised low-dose clinical screening mammograms: an evaluation of suitability for AI training (2025) A Worthy, N Smith, C Shenton-Taylor
Creation of simulated mammography data to supplement machine learning training datasets (2024) A. Worthy, A. Mackenzie, N. Smith, and C. Shenton-Taylor SPIE IWBI 2024
Using principle component analysis to identify isotopes in gamma spectra collected in urban environments (2024) J. Trevallion, L Lee-Brewin, C. Shenton-Taylor IEEE NSSMIC doi
Investigating detector response and temperature dependence in the U.K. SIGMA dataset (2024) R Holden, J. Biggs, L. Lee-Brewin, C. Shenton-Taylor IEEE NSSMIC doi
Transitioning neural network isotope identifiers to real-world deployment scenarios (2024) L. Lee-Brewin, C. Shenton-Taylor IEEE NSSMIC doi
An artificial neural network algorithm developed for shielded multi-isotope identification (2023) L Lee-Brewin, D. Read and C. Shenton-Taylor
Thermoluminescence Glow Curve Study of beta irradiated Ge doped core fibre with different dopant concentrations, (2022) C. Termsuk, S. Sweeney and C. Shenton-Taylor, Radiation Physics and Chemistry,
Fading and Residual Responses for Thermoluminescent Dosimetry of Silica Beads Irradiated Using a High-dose Electron-beam (2021) K Ley, S A Hashim, A Lohstroh, C Shenton-Taylor, D A Bradley, Radiation Physics and Chemistry
X-ray Luminescence of Nanocomposite Plastic Scintillator using CuInS/ZnS Quantum Dots (2021) C.L. Grove, I.H.B. Braddock, M.P. Taggart, C. Crean, S.J. Sweeney, P.J. Sellin, and C. Shenton-Taylor SORMA West
Thermoluminescence response of silica beads to high-dose irradiations (2020) K Ley, S A Hashim, A Lohstroh, C Shenton-Taylor, D A Bradley, Radiation Physics and Chemistry,
Application of a novel search method to handled gamma radiation detection (2019) P K Soin, S Pitts, C Shenton-Taylor, J Barnes, IEEE Sensors Journal,
Investigating the components of signals produced by the Pockels CCD imaging technique in CdZnTe (2019) S Parsons, A Langley, C Shenton-Taylor, A Lohstroh, IEEE Transactions on Nuclear Science
Effect of shielding conductivity on magnetic induction tomographic security imagery (2017) J Wood, R Ward, P Tatum, C Shenton-Taylor, S Taylor, G Bagley, M Joseph, J C Watson, IEEE Transactions on Magnetics, 53 issue 4 DOI:
Conference, Assessment of quantum dots for nuclear security (2017) T Crane, A Gavin, J Burns, D Glass, P Sellin, C Shenton-Taylor, Nuclear Science Symposium and Medical Imaging Conference 2017/IEEE
Predicting the air fluorescence yield of radioactive sources (2016) C Thompson, E E Barritt, C Shenton-Taylor, Elsevier Radiation Measurements, 88, pp. 48-54
Discrimination of liquid samples using magnetic induction tomography (2016) P Tatum, R Ward, C Lloyd, J Wood, S Taylor, C Shenton-Taylor, J. Watson, ESMA 2016
Cadmium zinc telluride based infrared interferometry for X-ray detection (2015) A Lohstroh, I Della-Rocca, S Parsons, A Langley, C Shenton-Taylor, D Blackie, Applied Physics Letters 106 063507
Investigation of THGEM technology for nuclear security applications (2015) K Ley, A Langley, C Steer, C Shenton-Taylor, EPJ Web of Conferences 2015/MPGD
Imaging by electromagnetic induction with resonant circuits (2015) R Guillizoni, J C Watson, P A Bartlett, F Renzoni, SPIE Image Sensing Technologies: Materials, Devices, Systems, and Applications II, At Baltimore, USA, Volume: Proc. SPIE 9481 DOI: 10.1117/12.2183180
Magnetic Imaging through metallic enclosures (2015) B J Darrer, J C Watson, P Bartlett, F Renzoni, 7th International Symposium on Process Tomography
Wavelet analysis of high and low resolution gamma-ray spectra: an investigation of peak finding techniques (2015) C Thompson, R L Turner, K Vaughan, Nuclear Science Symposium & Medical Imaging Conference 2015/IEEE
Wavelet analysis of shielded radiological material: The applicability of wavelet analysis for National Security (2014) K Vaughan, R L Turner, P Kendall, Nuclear Science Symposium and Medical Imaging Conference 2014/IEEE
Wavelet analysis for the separation of spectral features (2014) R L Turner, K Vaughan, IMA's 10th International Conference on Mathematics in Signal Processing
Distributed detector radiation networks: Static and Mobile sensor configurations (2014) C Shenton-Taylor, R Murphy, N Shute, Nuclear Science Symposium and Medical Imaging Conference 2014/IEEE
Spectra fusion using fuzzy logic (2014) A Langley and C Shenton-Taylor, IMA's 10th International Conference on Mathematics in Signal Proceedings
Development of a three-dimensional model for sensor positioning (2013) C Shenton-Taylor, Nuclear Science Symposium and Medical Imaging Conference 2013/IEEE
Exploration of the Pockels effect for radiation detection applications (20 12) D Blackie, A Langley, C Shenton-Taylor, V Permual, Nuclear Science Symposium and Medical Imaging Conference 2012/IEEE
Signal Analysis and data fusion methodologies (2012) C Shenton-Taylor, G Hurst, K Duore, P R Arthur, Nuclear Science Symposium and Medical Imaging Conference 2012/IEEE
A multi-phase equation of state applied to the study of shock loaded tin (2011) C Shenton-Taylor, A Glauser, E Price, T Ota, APS Shock Compression of Condensed Matter
Spin and orbital moments in Fe3O4 (2010) J A Duffy, J W Taylor, S B Dugdale, C Shenton-Taylor, M W Butchers, S R Giblin, M J Cooper, Y Sakurai, M Itou, Physical review. B, Condensed matter 04/2010; 81(13).
Bulk spin polarization of Co(1-x)Fe(x)S2 (2009) C Utfeld, S R Giblin, J W Taylor, J A Duffy, C Shenton-Taylor, J Laverock, S B Dugdale, M Manno, C Leighton, M Itou, Y Sakurai, Physical Review Letters
Development of magnetic Compton scattering using a 9T cryomagnet at the ESRF (2008) J A Duffy, J W Taylor, C Shenton-Taylor, C Steer. L V Blaauw, M J Cooper, Acta Crystallographic Section A Foundations of Crystallography
A short history of magnetic Compton scattering (2007) M J Cooper, C Shenton-Taylor, J A Duffy, C A Steer, L V Blaauw, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment 09/2007; 580(1):1-7.
Compton scattering studies of 4f ferromagnetism (2007) M J Cooper, J A Duffy, Z F Banfield, A M Bebb, L Blaauw, C Shenton-Taylor, C Steer, J W Taylor, Radiation Physics and Chemistry 05/2007;
Magnetic Compton scattering study of the magnetocaloric material Gd7Pd3 (2007) C Shenton-Taylor, J A Duffy, J W Taylor, C A Steer, D N Timms, M J Cooper, L V Blaauw, Journal of Physics Condensed Matter 05/2007; 19(18):186208.
Spin wave dynamics of MnO confined in nanometer pores (2006) J W Taylor, J A Duffy, C S Steer, C Shenton-Taylor, Journal of Magnetism and Magnetic Materials 03/2007; 310(2):
The size enhanced spin moment in NiO nanoparticles (2006) C Steer, C Shenton-Taylor, J.A. Duffy, Spring-8 Highlights Journal
Spin-resolved Compton scattering study of RuSr2GdCu2O8 (2005) Z F Banfield, J A Duffy, J W Taylor, C A Steer, A Bebb, M J Cooper, L Blaauw, C Shenton-Taylor, R Ruiz-Bustos, Journal of Physics Condensed Matter 08/2005; 17(36):5533.
Academic Publications – Technical Sponsor
Magnetic Imaging: A new tool for UK National Nuclear Security (2015) B J Darrer, J C Watson, P Bartlett, F Renzoni, Nature Scientific Reports 01/2015; Sci. Rep. 5, 7944 DOI: 10.1038/srep07944I
Toward an Automated Setup for Magnetic Induction Tomography (2015) B J Darrer, J C Watson, P Bartlett, F Renzoni, IEEE Transaction on magnetics 01/2015, 51(1), 6500105
A bio-inspired chemical sensor of gamma and neutron radiation (2014) J A Griffith, T A Bayer, Sensors and Actuators B 190 818-821 doi.org/10/1016/j.snb.2013.09.012