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 Dailé Avila Alonso

On January 11, 2022, Dailé Avila Alonso successfully defended her Ph.D. thesis "Marine phytoplankton response to environmental stressors associated with climate change" and was awarded the title of Doctor of Bioscience Engineering. Dailé was supervised by Bernard De Baets, Jan Baetens and Rolando Cardenas. Her research was supported by a North-South sandwich PhD scholarship from the Special Research Fund of Ghent University while being affiliated with the Universidad Central "Marte Abreu" de la Villas in Santa Clara, Cuba.

PhD Dailé Avila Alonso PhD Dailé Avila Alonso

17/12/2021Doctoral degree for David Vanavermaete
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Most recent journal publications
Biblio logo(656) Digital phagograms: predicting phage infectivity through a multi-layer machine learning approach
C. Lood, D. Boeckaerts, M. Stock, B. De Baets, R. Lavigne, V. Van Noort and Y. Briers
(2022) CURRENT OPINION IN VIROLOGY. 52, 174-181.
Biblio logo(655) A characterization of idempotent nullnorms on bounded lattices
H.-P. Zhang, Y. Ouyang, Z. Wang and B. De Baets
(2022) INFORMATION SCIENCES. 586, 676-687.
Biblio logo(654) Reversibility of number-conserving 1D cellular automata: unlocking insights into the dynamics for larger state sets
B. Wolnik, M. Dziemiańczuk, A. Dzedzej and B. De Baets
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