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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 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) and optimization and operations research (e.g. preference modelling, multi-criteria decision making).

News

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.

Oral Presentation Award for Dimitri Boeckaerts at NSABS 2019

Three KERMIT PhD students were selected to present their research at the National Symposium for Applied Biological Sciences (NSABS 2019) on February 4, 2019 at the Faculty of Bioscience Engineering of Ghent University. Laura Hoebeke, Peter Rubbens and Dimitri Boeckaerts gave an oral presentation on their latest research results. Dimitri was awarded one of the two oral presentation awards (sponsored by Qiagen) for the presentation of his master thesis research on the prediction of bacterium-phage interactions.

NSABS 2019
Date Title
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Events Date
PhD defence Elias Van De Vijver March 29, 2019

Publications

Most recent journal publications
Biblio logo(506) Predicting children’s food choice using check-all-that-apply questions
J. Verwaeren, X. Gellynck, S. Lagast and J. Schouteten
(2019) JOURNAL OF SENSORY STUDIES. 34, e12471.
Biblio logo(505) Multi-target prediction: a unifying view on problems and methods
W. Waegeman, K. Dembczyński and E. Hüllermeier
(2019) DATA MINING AND KNOWLEDGE DISCOVERY. 33, 293-324.
Biblio logo(504) Noise-robust line detection using normalized and adaptive second-order anisotropic Gaussian kernels
G. Wang, C. Lopez-Molina, G. Vidal-Diez De Ulzurrun and B. De Baets
(2019) SIGNAL PROCESSING. 160, 252-262.
All KERMIT publications