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.
If interested, you can scroll down to take a look at my scientific output, brief academic CV or contact details.
Scientific output
Journal articles
- . “Imprecise Markov Models for Scalable and Robust Performance Evaluation of Flexi-Grid Spectrum Allocation Policies”. In IEEE Transactions on Communications, 66(11):5401–5414, Nov. 2018.
Articles in conference proceedings
- . “An Imprecise Probabilistic Estimator for the Transition Rate Matrix of a Continuous-Time Markov Chain”. In the proceedings of the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), Sep. 2018.
- .
“Computing Inferences for Large-Scale Continuous-Time Markov Chains by Combining Lumping with Imprecision”.
In the proceedings of the
9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018),
Sep. 2018.
Winner of the International Journal of Approximate Reasoning Best Paper Award.
- . “Imprecise continuous-time Markov chains: Efficient Computational methods with guaranteed error bounds”. In the proceedings of the 10th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA'17), Jul. 2017.
- .
“Modelling spectrum assignment in a two-service flexi-grid optical link with imprecise continuous-time Markov chains”.
In the proceedings of the
13th International Conference on the Design of Reliable Communication Networks (DRCN 2017),
Mar. 2017.
Winner of the best paper award.
Posters and presentations
- . “Computing limit expectations of imprecise continuous-time Markov chains”. Presented at the 11th Workshop on Principles and Methods of Statistical Inference with Interval Probability (WPMSIIP 2018), 1/8/2018.
- . “Lumping continuous-time Markov chains”. Presented at the 10th Workshop on Principles and Methods of Statistical Inference with Interval Probability (WUML/WPMSIIP 2017), 12/9/2017.
- . “Towards an imprecise Poisson process”. Presented at the 10th Workshop on Principles and Methods of Statistical Inference with Interval Probability (WUML/WPMSIIP 2017), 12/9/2017.
- . “Handling the state space explosion of Markov chains: How lumping introduces imprecision (almost) inevitably”. Presented at the 10th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA'17), 14/7/2017.
- . “Modelling spectrum assignment in a two-service flexi-grid optical link with imprecise continuous-time Markov chains”. Presented at the 10th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA'17), 10/7/2017.
- . “LQ optimal control for partially specified input noise”. Presented at the 28th European Conference on Operational Research (EURO2016), 6/7/2016.
- . “Optimal control of linear systems with quadratic cost and imprecise forward irrelevant input noise”. Presented at the 9th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA'15), 22/7/2015.
Work in progress
- . “First steps towards an imprecise Poisson process”.
- . “Linear-quadratic optimal control with partially specified input noise”.
Academic CV
Working experience
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.
Teaching
The aim of this course is to teach the student the basic principles and the reasoning methods of probability.