Joris Degroote

Joris Degroote

Joris Degroote

tel.: +32 9 264 95 22
research units:

Joris Degroote received the MSc and PhD degrees in Electromechanical Engineering from Ghent University in 2006 and 2010, respectively. During 2007–2008, he stayed at Massachusetts Institute of Technology and in 2011 at Technische Universität München. He obtained a post-doctoral fellowship of the Research Foundation Flanders (FWO) and became Associate Professor at the Faculty of Engineering and Architecture of Ghent University in 2013. Since September 2020, he is a full professor at Ghent University. He is also a core lab member of Flanders Make as well as member of scientific and editorial boards of conferences and journals. He focuses on the development of techniques for the simulation of fluid-structure interaction and their application in various fields. This research involves parameter identification and optimization using gradient-based and surrogate-based techniques, also under uncertainty, reduced order models and machine learning.

Keywords: Nonlinear dynamical systems, Computational fluid dynamics, Fluid-structure interaction, Simulation & optimization

Key publications
  • J. Wauters and J. Degroote. Development of an adaptive infill criterion for constrained multi-objective asynchronous surrogate-based optimization. Journal of Global Optimization, pages 1–21, 2020. DOI: 10.1007/s10898-020-00903-1.

  • K. Star, F. Belloni, G. Van den Eynde, and J. Degroote. POD-identification reduced order model of linear transport equations for control purposes. International Journal for Numerical Methods in Fluids, 90(8):375–388, 2019. DOI: 10.1002/fld.4724.

  • H. Dolfen, J. Wauters, J. Degroote, and J. Vierendeels. Uncertainty quantification of an unmanned aerial vehicle. In Computational Modelling of Multi-Uncertainty and Multi-Scale Problems, Porto, Portugal, 12–14 September 2017.

  • S. Ulaganathan, I. Couckuyt, T. Dhaene, J. Degroote, and E. Laermans. High dimensional Kriging metamodelling utilising gradient information. Applied Mathematical Modelling, 40(9–10):5256–5270, 2016. DOI: 10.1016/j.apm.2015.12.033.

  • J. Degroote, I. Couckuyt, J. Vierendeels, P. Segers, and T. Dhaene. Inverse modelling of an aneurysm’s stiffness using surrogate-based optimization and fluid-structure interaction simulations. Structural and Multidisciplinary Optimization, 46(3):457–469, 2012. DOI: 10.1007/s00158-011-0751-7.

Publication links