Edinburgh Research Explorer

Michael Camilleri

(Former employee or visitor)

Research Interests

My current research interest, and the focus of my Doctoral studies, is at the cross-roads of probabilistic graphical models and temporal-series modelling. I am particularly motivated by the problem of messy/uncurated data and how explicitly modelling its limitations can improve performance of models.  I am also interested in machine learning at large (including Deep Learning), especially as applied to tracking and activity detection in video.

Throughout my career, I have worked with mouse-behaviour data (Dissertation, M.Sc. by Research, CDT in Data Science, University of Edinburgh), robotics (Dissertation, M.Sc. AI in Intelligent Robotics, University of Edinburgh, part of the DARPA Robotics Challenge with team HKU), astronomy (preprocessing pipeline for the Square-Kilometer Array), transport (DRT solutions at the University of Malta) and mobile gaming (RemoteFX cloud-computing, University of Malta). As a student I have also interned at CERN (with the ATLAS Experiment).

Research outputs

  1. The Extended Dawid-Skene Model: Fusing Information from Multiple Data Schemas

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. The technology behind a shared demand responsive transport system for a university campus

    Research output: Contribution to journalArticlepeer-review

  3. EXOTica: An Extensible Optimization Toolset for Prototyping and Benchmarking Motion Planning and Control

    Research output: Chapter in Book/Report/Conference proceedingChapter

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