Applied nuclear physics

Woking closely with industry, we apply and develop computational and experimental methods to detect radioactive and nuclear material across security, energy and medical applications. Our research draws on the latest artificial intelligence approaches including convolutional neural networks, wavelet analysis, genetic algorithms and fuzzy logic. 

Current research projects

Optimisation of AI for breast screening

In collaboration with National Physical Laboratory Data - Science and Medical Physics, and the Royal Surrey NHS Foundation Trust Scientific Computing.

Data analytics and AI for optimised radiation detection

Research member of the NuSec Sigma Data Challenge.

Machine learning techniques for nuclear decommissioning

In collaboration with te Chemistry DepartmentNational Nuclear Laboratory and part of the TRANSCEND consortium.

Enhanced nuclear fuel monitoring

In collaboration with the National Physical Laboratory.

Past projects

  • Optimised scintillator section through fuzzy logic | 2021
  • Quantum dot enhanced detection technology | 2017-2021
  • Innovative alpha detection for environmental applications  | 2018-2019
  • Thermoluminescence of fibres and beads for radiation dosimetry | 2018-2022.

PhD student projects

Get in contact

If you would like further information about our research then please contact Dr Caroline Shenton-Taylor.