Prof Jon Garibaldi
Prof Jon Garibaldi

Prof Jon Garibaldi

Professor of Computer Science

Prof Jon Garibaldi’s main research interest is in the modelling of human decision making, primarily in the context of medical applications.

His work to date has concentrated on utilising fuzzy logic to model the imprecision and uncertainty inherent in medical knowledge representation and decision making. This has been applied in areas such as classification of breast cancer, identification of Alzheimer’s disease, and the assessment of immediate neonatal outcome.

A particular interest is in the transfer of medical intelligent systems into clinical use and this has led to the study of methods of evaluating intelligent systems and mechanisms for their implementation.

Prof Garibaldi also has an interest in generic machine learning, such as clustering, classification and optimisation, particularly when applied to the optimisation of decision making models, and in the study of adaptive and time-varying behaviour.

Contact

jon.garibaldi@nottingham.ac.uk


Staff

  • Prof Nigel Minton
  • Alan Burbidge
  • Klaus Winzer
  • Dr Ying Zhang
  • Prof Pete Licence
  • Prof Jon Garibaldi
  • Dr Jamie Twycross
  • Prof Brigette Nerlich
  • Prof Jon King
  • Prof Greg Tucker
  • Prof Cameron Alexander
  • Prof Dave Barratt
  • Prof Charlie Hodgman
  • Dr Stephen Heeb
  • Louise Dynes