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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.

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

Outstanding Doctoral Dissertation Award for Lisheng Jiang

Lisheng Jiang received the Outstanding Doctoral Dissertation Award of Sichuan University for his Ph.D. thesis "Decision models considering path dependence of inter-criterion tradeoffs for project deployment decisions". Lisheng was supervised by Huchang Liao and Bernard De Baets. Only 20 out of more than 900 PhD students received the award.

pic lisheng outstanding paper lisheng
23/06/2024Doctoral degree for Witold Bołt
11/06/2024Doctoral degree for Wissam Barhdadi
29/05/2024Back-to-back Chinese achievements at KERMIT
All KERMIT news

Publications

Most recent journal publications
Biblio logo(763) Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning
S. Borzooei, L. Scabini, G. Miranda, S. Daneshgar, L. Deblieck, P. De Langhe, O. Bruno, B. De Baets, I. Nopens and E. Torfs
(2024) JOURNAL OF WATER PROCESS ENGINEERING. 64, 105692.
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.
All KERMIT publications