This is the personal website of Dr Lee Devlin at the University of Liverpool.

Research interests

My primary area of research is in Bayesian signal processing with a focus on Sequential Monte Carlo methods for static and time evolving problems. I am interested how these class of algorithms can be applied to distributed computing architectures.

Current PhD students

• Harvinder Lehal - ‘Developing Efficient Numerical Algorithms Using Fast Bayesian Random Forests’, with Professor Simon Maskell, 2022 - Present
• Daniel Sumler - ‘Bayesian Learning for Sparse High-Dimensional Data’, with Professor Simon Maskell, 2023 - Present
• Sion Lynch - ‘Machine learning to track multiple objects using raw radar data in the maritime environment’, with Dr Angel Garcia-Fernandez, 2024 - Present

Teaching

I currently teach on the following modules:

• ELEC319 - Image Processing - Module co-ordinator - 2025-Present
• ELEC320 - Neural Networks - Module co-ordinator - 2022-Present
• ELEC230 - Robotic Systems - Co-Module co-ordinator- 2022-Present
• ELEC340/440 - Final Year projects - I typically supervise 5-7 projects each year

Affiliations and commitments

I am a Fellow of the Higher Education Academy (HEA).

I have reviewed articles for IEEE Transactions on Signal Processing, IEEE Transactions on Aerospace and Electronic Systems, IEEE Signal Processing Letters, The Journal of Instrumentation (IOP), Journal of Computational Science (Elsevier), Machine Learning: Science and Technology (IOP), Digital Signal Processing (Elsevier), and Biometrical Journal.