I am currently Head of School of Computer Science, University of Nottingham, Head of the Intelligent Modelling and Analysis (IMA) Research Group and Founding Director (together with Prof. Richard Emes) of the Advanced Data Analysis Centre (ADAC). I obtained a BSc (Hons) in Physics from University of Bristol in 1984, an MSc in 'Intelligent Systems' from University of Plymouth in 1991, and a PhD in 'Intelligent Techniques for Handling Uncertainty in the Assessment of Neonatal Outcome' from University of Plymouth in 1997. I have worked in the School of Computer Science at the University of Nottingham since 2002, being a full Professor from 2012. Since being at the School, I have held a variety of administrative roles including Admissions Tutor, Director of Teaching and (since Jan 2016) Head of School. I am the current Editor-in-Chief of IEEE Transactions on Fuzzy Systems, the leading international journal in my main research field, and a Senior Member of the IEEE.
My main research interest is in developing intelligent techniques to model human reasoning in uncertain environments, with a particular emphasis on the medical domain. My main technical area of research is into using non-standard fuzzy sets and systems, such as type-2 fuzzy sets and systems, to model human reasoning processes. Keywords: fuzzy sets and systems; uncertainty handling; data analysis; decision support systems; medical applications
In addition, I have interests in data analysis, particularly of complex and uncertain data, data mining, clustering and classification, and in the deployment of decision support systems in practical medical applications.
Due to heavy administrative load as Head of School and Editor-in-Chief, I do not currently undertake any undergraduate teaching.
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… read more
JENNA M. REPS, JONATHAN GARIBALDI, UWE AICKELIN, JACK GIBSON and RICHARD HUBBARD, 2015. A Supervised Adverse Drug Reaction Signalling Framework Imitating Bradford Hill's Causality Considerations Journal of Biomedical Informatics. tbc(tbc),
CHRISTIAN WAGNER, SIMON MILLER, JONATHAN M. GARIBALDI, DEREK T. ANDERSON and TIMOTHY C. HAVENS, 2014. From Interval-Valued Data to General Type-2 Fuzzy Sets IEEE Transactions on Fuzzy Systems. TBC, In Press
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. TFS.