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)


PhD Vacancy in Mathematical Modelling

We are looking for a PhD student for the topic “Mathematical modelling of adaptation and acclimation in marine ecosystems”. The PhD scholarship is available in the field of spatio-temporal modelling under the supervision of Prof. Bernard De Baets, Prof. Jan Baetens and Dr. Aisling Daly.

This topic is part of an interdisciplinary project (REACT) focusing on understanding how global change alters marine ecosystems and the services they provide. The student will develop and analyze spatio-temporal models to unravel the potential of marine organisms and communities to acclimate, adapt and/or disperse, and to retain ecological functioning under different climate scenarios.

More details, and instructions on how to apply, can be found here.

2018 National Award of the Academy of Sciences of Cuba

The 2018 National Award of the Academy of Sciences of Cuba in Natural and Exact Sciences has been jointly awarded to Prof. Dr. Carlos Pérez​ Morell (Universidad Central "Marta Abreu"' de Las Villas, Santa Clara, Cuba), Dr. Bac Nguyen Cong and Prof. Dr. Bernard De Baets for their work on Supervised distance metric learning for pattern recognition. The award ceremony took place on May 10 in La Havana Vieja, Cuba. This is milestone in the longstanding Flanders-Cuba cooperation.

23/04/2019Bac Nguyen Cong, first Vietnamese PhD graduate of KERMIT
27/03/2019March brings two new PhD graduates
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Most recent journal publications
(510) Two-dimensional affine continuous cellular automata solving the relaxed density classification problem
M. Dembowski, B. Wolnik, W. Bolt, J.M. Baetens and B. De Baets
Biblio logo(509) Inter- and intra-field distribution of cereal leaf beetle species (Coleoptera: Chrysomelidae) in Belgian winter wheat​
E. Van de Vijver, S. Landschoot, M. Van Roie, F. Temmerman, J. Dillen, K. De Ceuleners, G. Smagghe, B. De Baets and G. Haesaert
Biblio logo(508) The acclamation consensus state and an associated ranking rule
R. Pérez-Fernández and B. De Baets
(2019) INTERNAT. J. OF INTELLIGENT SYSTEMS. 34, 1223-1247.
All KERMIT publications