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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)

News

Online PhD defense of Liselotte De Ligne

On March 2, 2021, Liselotte De Ligne successfully defended her Ph.D. thesis "Fungal susceptibility of bio-based building materials” and was awarded the title of Doctor of Bioscience Engineering: Natural Resources at the Faculty of Bioscience Engineering of Ghent University. Due to the ongoing pandemic, the defense took largely place online. Liselotte was supervised by Joris Van Acker (UGent-Woodlab), Jan Van den Bulcke (UGent-Woodlab), Bernard De Baets and Jan Baetens. Congratulations!

PhD Liselotte De Ligne PhD Liselotte De Ligne PhD Liselotte De Ligne

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Publications

Most recent journal publications
Biblio logo(620) Unravelling the natural durability of wood: revealing the impact of decay-influencing characteristics other than fungicidal components
L. De Ligne, J. Van den Bulcke, J.M. Baetens, B. De Baets, G. Wang, I. De Windt, H. Beeckman and J. Van Acker
(2021) HOLZFORSCHUNG. 75, 368-378.
Biblio logo(619) Aggregation theory revisited
R. Pérez-Fernández and B. De Baets
(2021) IEEE TRANSACTIONS ON FUZZY SYSTEMS. 29, 797-804.
Biblio logo(618) Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
E. Hüllermeier and W. Waegeman
(2021) MACHINE LEARNING. 110, 457-506.
All KERMIT publications