I am a PhD student at Ghent University, more precisely at the Department of Electronics and Information Systems, part of the Faculty of Engineering and Architecture. Before October 2017, I was a member of the SMACS Research Group, part of the Department of Telecommunications and Information Processing, for two years.
My research is focussed around the theory and applications of imprecise probabilities. I first became acquainted with imprecise probabilities during my Master thesis, in which I used imprecise probabilities to model the noise in a one-dimensional discrete-time linear-quadratic optimal control problem. On the theoretical side, I am currently working on stochastic processes, mainly (an imprecise extension of) the Poisson process and (ergodicity of) imprecise continuous-time Markov chains. These stochastic process are used as models in a lot of fields. From a practical point of view, my main interest lies in using these imprecise stochastic processes to robustly model queueing systems.
I am part of the local organising committee of ISIPTA 2019. The International Symposium on Imprecise Probabilities: Theories and Applications returns to Ghent, twenty years after its first edition was hosted there.
Winner of the International Journal of Approximate Reasoning Best Paper Award.
Winner of the best paper award.
During a 4 week internship I built a model of the KPI of a chemical plant using data mining techniques available in the JMP software package.
In the past, I dedicated a large portion of my free time to scouting. I organised numerous activities, weekends and camps, including summer camps in Switzerland and England.
The aim of this course is to teach the student the basic principles and the reasoning methods of probability.
This course discusses the notion of nonlinearity in a dynamical context in a systematic way. In the exercise sessions I supervise, the objective is to get familiar with the tools and techniques useful in the qualitative and quantitative study of the dynamics of nonlinear systems.
This course introduces basic concepts of queueing analysis and simulation for assessing the performance of computer and communication systems. I supervised the exercise sessions on probability theory (and Markov chains in particular), birth-death queues and queueing networks.
Option Control Engineering & Automation, graduated with greatest distinction.
Graduated with great distinction.
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