Mission statement

The research unit KERMIT (Knowledge-based Systems) adopts a holistic view on mathematical and computational modelling, acknowledging the needs of our modern information society with a particular focus on the applied biological sciences. It strives to keep a unique balance between theoretical developments and practical applications, a strategy that has proven particularly successful, regarding the output, visibility and recognition of the team. It plays a pioneering role by promoting existing as well as developing new methods in a broad range of disciplines shown below.

Methodological expertise

KERMIT started out in 2000 with two men and a dog as a team in fuzzy set theory and preference modelling, and quickly expanded into the fields of artificial/computational intelligence and operations research. Over the years, it has evolved into a holistic team covering the entire data-to-decision pipeline. It provides methodological expertise in the following areas:

  • image processing and computer vision (e.g. mathematical morphology, filters)
  • knowledge-based systems (e.g. bioportals, ontologies)
  • dynamical modelling (e.g. differential equations, cellular automata, individual-based models)
  • data science and machine learning (e.g. time series prediction, structured prediction, deep learning, big data)
  • management of imprecision and uncertainty (e.g. probability, possibility and fuzzy set theory; stochastic modelling, theory of copulas)
  • optimization and operations research (e.g. preference modelling, multi-criteria decision making)


Doctoral degree for Wissam Barhdadi

On June 11, 2024, Wissam Barhdadi successfully defended his Ph.D. thesis "Advancing individual-based models rooted in metabolic theory: from organism physiology towards community dynamics" and was awarded the title of Doctor of Bioscience Engineering: Mathematical Modelling. Wissam was supervised by Bernard De Baets, Aisling Daly and Jan Baetens. His research was sponsored by the Special Research Fund of Ghent University

PhD Wissam PhD Wissam
29/05/2024Back-to-back Chinese achievements at KERMIT
25/04/2024Doctoral degree for Nicolas Dewolf
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Most recent journal publications
Biblio logo(762) Damage spreading and the Lyapunov spectrum of cellular automata and Boolean networks
M. Vispoel, A.J. Daly and J.M. Baetens
(2024) CHAOS, SOLITONS & FRACTALS. 184, 114989.
Biblio logo(761) A comparison of machine learning methods for predicting the direction of the US stock market on the basis of volatility indices
G. Campisi, S. Muzzioli and B. De Baets
(2024) INTERNAT. J. OF FORECASTING. 40, 869-880.
Biblio logo(760) Prediction of Klebsiella phage-host specificity at the strain level
D. Boeckaerts, M. Stock, C. Ferriol-González, J. Oteo-Iglesias, R. Sanjuán, P. Domingo-Calap, B. De Baets and Y. Briers
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