Affiliation: University of Nottingham, UK
Email: Jon.Garibaldi@nottingham.ac.uk
Jonathan M. Garibaldi (Fellow, IEEE) received the B.Sc (Hons) degree in Physics from Bristol University, UK in 1984, and the M.Sc. degree in Intelligent Systems and the Ph.D. degree in Uncertainty Handling in Immediate Neonatal Assessment from the University of Plymouth, UK in 1990 and 1997, respectively. He is Head of the School of Computer Science at the University of Nottingham, UK, and leads the Intelligent Modelling and Analysis (IMA) Research Group. The IMA research group undertakes research into intelligent modeling, utilizing data analysis and transformation techniques to enable a deeper and clearer understanding of complex problems. His main research interests are modeling uncertainty and variation in human reasoning, and in modeling and interpreting complex data to enable better decision-making, particularly in medical domains. He has made many theoretical and practical contributions in fuzzy sets and systems, and in a wide range of generic machine learning techniques in real-world applications. Prof. Garibaldi has published over 300 papers on fuzzy systems and intelligent data analysis, and was the Editor-in-Chief of IEEE Transactions on Fuzzy Systems (2017-2022). He has served regularly in the organizing committees and program committees of a range of leading international conferences and workshops, such as FUZZ-IEEE, WCCI, EURO, and PPSN.