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:

• 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, The Journal of Instrumentation (JINST), and Biometrical Journal.