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 recognitions 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)


Adam Dzedzej, first PhD graduate at the University of Gdańsk
On October 31, 2019, Adam Dzedzej defended his Ph.D. thesis "Multi-state two-dimensional number-conserving cellular automata" and was awarded the title of Doctor of Philosophy of the University of Gdańsk. Adam was jointly supervised by Barbara Wolnik and Bernard De Baets. His jury included the international expert Nazim Fatès.

PhD Adam Dzedzej PhD Adam Dzedzej

11/10/2019EUSFLAT Scientific Excellence Award for Bernard De Baets
26/09/2019Doctoral degree for Jasper Beernaerts
24/09/2019Doctoral degree for Peter Rubbens
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Most recent journal publications
(540) Contour detection based on anisotropic edge strength and hierarchical superpixel contrast
G. Wang and B. De Baets
(539) Possibilistic compositions and state functions: application to the order promising process for perishables
H. Grillo, M.M.E. Alemany, A. Ortiz and B. De Baets
(538) EcologicalNetworks.jl: analysing ecological networks of species interactions
T. Poisot, Z. Bélisle, L. Hoebeke, M. Stock and P. Szefer
(2019) ECOGRAPHY. 42, 1-12.
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