Runze (Patrick) Gan
Research Associate at the Univerisity of Edinburgh
I am currently a Research Associate at the University of Edinburgh. My research primarily focuses on the theoretical and applied aspects of statistical signal processing. More specifically, my research interests include:
- Applications: multi-object tracking, (decentralised) data fusion, manoeuvring object tracking, intent inference, and human–computer interaction.
- Approximate inference methodologies: variational inference, Monte Carlo methods, and other scalable Bayesian techniques.
- Stochastic modelling for time series: covering stochastic differential equations, Lévy processes, and mean-reverting processes.
I obtained my Ph.D. in Information Engineering from the Cambridge University Engineering Department, and previously held research associate roles at the Alan Turing Institute and the University of Cambridge.
My thesis is available here.
My full publication list can be found on Google Scholar.
news
| Apr 08, 2025 | 🚀 Get a sneak peek at our new multi-object tracker, PiVoT! PiVoT is a project I’ve led as the main developer, combining non-trivial technical work with strong empirical performance. It efficiently detects and tracks a large, varying number of objects, estimating their shapes, existence probabilities, and more. PiVoT outperforms existing Poisson measurements-based trackers in accuracy and efficiency across diverse scenes, and notably, enables reliable real-time tracking in highly challenging settings, such as dense clutter or tracking a thousand closely spaced objects in under a second on a standard laptop without gating. 👉 Explore PiVoT and watch demos |
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| Apr 03, 2025 | Together with Dr Qing Li and Prof Simon Godsill, I will be co-organising a special session on Advances in Sensor Fusion and Distributed Learning at the 2025 IEEE Statistical Signal Processing Workshop (8–11 June, Edinburgh). More details here. Hope to see you there! |