Dr Lee Devlin

Dr Lee Devlin

Ph.D, MPhys, MInstP, FHEA

Lecturer (assistant Professor) in Numerical Bayesian Signal Processing

Publications

You can also find my articles on my Google Scholar profile.

Articles

  1. The No-U-Turn Sampler as a Proposal Distribution in a Sequential Monte Carlo Sampler without Accept/Reject - L. Devlin, M. Carter, P. Horridge, P.L. Green, S. Maskell IEEE Signal Processing Letters - Vol. 31, 2024.

  2. A General-Purpose Fixed-Lag No-U-Turn Sampler for Nonlinear Non-Gaussian State Space Models - A. Varsi, L. Devlin, P. Horridge, S. Maskell, IEEE Transactions on Aerospace and Electronic Systems, 2024.

  3. Efficient Learning of the Parameters of Non-Linear Models Using Differentiable Resampling in Particle Filters - C. Rosato, LJ Devlin, V. Beraud, P. Horridge, T. Schön, S. Maskell, - IEEE Transactions on Signal Processing, Vol. 70 - 2022.

  4. Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels - PL Green, LJ Devlin, RE Moore, RJ Jackson, J Li, and S Maskell - Mechanical Systems and Signal Processing Vol 62, 2022.

  5. Measurement of the longitudinal energy distribution of electrons in low energy beams using electrostatic elements - LJ Devlin, LB Jones, TCQ Noakes, CP Welsch and BL Militsyn - Review of Scientific Instruments Vol. 89, 2018.

  6. Charged particle tracking through electrostatic wire meshes using the finite element method - LJ Devlin, O Karamyshev and CP Welsch- Physics of Plasmas vol 23, 2016.

Conference Proceedings

  1. RODDAS: Robust Orbit Determination and Data Association library for SSA based on GODOT - P Gago, L Porcelli, A Cano, L Quadri, A Pastor, J Rubio, D Escobar, Y Sztamfater, M Sanjurjo, J Míguez, A Narykov, L Devlin, S Maskell, L Vladimirov, A García-Fernández, A Thompson, M Belmekki, M Fontana, A Phillips, M Losacco, R Mackenzie, J Siminski, 9th European Conference on Space Debris, 2025.
  2. An Automated System to Discover and Track Unknown Geosynchronous Objects UsingGround-based Optical Telescopes - Y. Zhou, L. Devlin, G. Cook, S, Maskell and J. Barr- Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), 2022.
  3. Optical Beam Loss Monitors Based on Fibres for the CLARA Phase 1 Beam-Line - A. Alexandrova, L. Devlin, V. Tzoganis, C. P. Welsch, A. Brynes, F. Jackson, D Scott, E Effinger, E Holzer, Proceedings of 9th International Particle Accelerator Conference(IPAC2018), 2018.
  4. Optical Beam Loss Monitor for RF Cavity Characterisation - A. Alexandrova, E. N. del Busto, L. Devlin, M. Kastriotou V. Tzoganis C. P. Welsch, A. Brynes, F. Jackson, D Scott, E Effinger, E Holzer, Proceedings of 6th International Beam Instrumentation Conference (IBIC2017), 2017.
  5. Challenges of arbitrary waveform signal detection by SiPM in beam loss monitoring systems with Cherenkov fibre readout - S Vinogradov, L Devlin, E Nebot Del Busto, M Kastriotou, and C Welsch. Proceedings of 4th International Conference on New Photo-Detectors, 2015.
  6. Measurements of the longitudinal energy distribution of low energy electrons - L Devlin, OKaramyshec, C Welsch, L Jones, B Militsyn and T Noakes, Proceedings of IPAC2014, Dresden, Germany, 2014.
  7. Design and First Operation of a Silicon-Based Non-Invasive Beam Monitor - T Cybulski, C Welsch, L Devlin, K Hennessy, A. Kacperek, B. Marsland, I Taylor , A Wray, and T. Jones, Proceedings of IPAC2014, Dresden, Germany, 2014.
  8. Update on Beam Loss Monitoring at CTF3 for CLIC - L Devlin, C Welsch, E Effinger, E Holzer, EN del Busto, S Mallows, E Branger - Proceedings of IBIC2013, Oxford, UK, 2013.
  9. Spectroscopic Characterization of Novel Silicon Photomultipliers - M. Panniello, L Devlin. P Finocchiaro, A Pappalardo, and C Welsch - Proceedings of BIW2012, 2012.

Preprints

  1. Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods - C. Rosato, H. Lehal, S. Maskell, L. Devlin, M. Strens, 2025.
  2. An Entropic Metric for Measuring Calibration of Machine Learning Models - D. Sumler, L.Devlin, S. Maskell, R Lane, 2025.
  3. The No-U-Turn sampler as a proposal distribution in a sequential Monte Carlo sampler with a near-optimal L-kernel - L. Devlin, M. Carter, P. Horridge, P.L. Green, S. Maskell, 2021.