Murat Uney, PhD

Dr Murat Uney

Bio

Dr Murat Uney is a lecturer in signal processing at The University of Edinburgh. His research interests are in the theory of signal processing and machine learning; probabilistic models and Bayesian computations for applications in sensor fusion, signal and information processing and data sciences. Previously, he was a Research Fellow at the University of Edinburgh (2013-18), a Research Scientist at the Centre for Maritime Research and Experimentation (2018-21), and a lecturer at the University of Liverpool (2021-25).

Murat is a member of the IEEE Signal Processing Society, IEEE Aerospace and Electronic Systems Society, and a fellow of the Higher Education Academy.

He is an Associate Editor for Elsevier Digital Signal Processing and a reviewer for several journals and conferences.

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Research Updates

Recent research outcome “Tree Reparameterized Belief Propagation for Gaussian Markov Random Fields” is submitted to ICASSP 2026. The paper provides explicit formulae and an algorithmic framework for TRP-BP on GMRFs and, through experiments, demonstrates that TRP-BP converges faster than loopy BP in the case of certain pairwise Gaussian MRFs.

The code used in the submission is in the Tree-Reparameterized-Belief-Propagation github repository.

Previously, I was the Liverpool principal investigator (PI) in a collaborative project with Prof James Hopgood that addressed radar signal processing problems using advanced Bayesian computations. This project investigated a novel approach to coherent long-time integration, namely, coherent track-before-detect. The Liverpool team had Prof Simon Maskell and Dr Paul Horridge onboard.

Ongoing work aims to complete publications from the outcomes.

Co-authors

  • Prof Simon Maskell (University of Liverpool)
  • Dr Paul Horridge (University of Liverpool)
  • Prof Bernard Mulgrew (The University of Edinburgh)
  • Prof Daniel Clark (University of Southampton)
  • Dr Jeremie Houssineau (Nanyang Technological University)
  • Dr Emmanuel Delande (Centre National d’Etudes Spatiales)
  • Prof Simon Julier (University College London)

Post-docs

  • Dr Amir Belmekki

PhD students

  • Mr Chris Blackman, Machine Learning for Object Detection and Classification for Multimodal Airborne Sensor Data, co-supervised by Prof Yalin Zheng.
  • Mr Will Shaw, Using machine learning and artificial intelligence to improve the tracking of vessels in sonar spectrograms, co-supervised by Dr Daniel Colquitt.
  • Mr Christian Pollitt, Machine Learning of Behavioural Models for Improved Multi-Sensor Fusion, co-supervised by Dr Mario Gianni.

Graduated:

  • Dr Oisin Boyle, Block sparse Bayesian learning with applications to spectral unmixing for Plasma Optical Emission Spectra, University of Liverpool, 2025, co-supervised by Prof Xinping Yi and Dr Joseph Brindley.
  • Dr Kimin Kim, Reliable detection and characterisation of dim targets via track-before-detect, University of Edinburgh, 2021, co-supervised by Prof Bernard Mulgrew.

Teaching

Murat holds a Post-graduate Certificate in Academic Practice (PGCAP) from the University of Liverpool.

  • Array Signal Processing and MIMO Systems (2025-26)
  • Signals and Communication Systems (2025-26)
  • Advanced Signal Processing (2024-25)
  • Avionics (2024-25)
  • Communication Systems and Avionics (2021-22, 2022-23, 2023-24)
  • Optimal and Adaptive Filtering (UDRC Summer School 2015, 2016, 2017 [ hand-outs ])
  • Handouts: A Signals and Systems Primer

Murat Uney, PhD

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