Projects
Stochastic modelling and performance analysis of energy efficient protocols for wireless networks Ghent University
This reseacrh project aims at the development of new stochastic models and queueing models for (components of)WiMAX networks and appropriate techniques for the corresponding performance analysis. We envisage the study of queueing models with multiple servers and server vacations in the presence of both uplink and downlink traffic. Moreover we will study queueing systems in tandem in order to model relay nodes. Such performance models are very ...
Stochastic modelling and performance analysis of WiMAX networks Ghent University
This research project aims at the development of new stochastic models and queueing models for (components of) WiMAX networks and appropriate techniques for the corresponding performance analysis. We envisafe the study of queueing models with priority scheduling, multiple servers, server vacations and correlated arrivals. Such performance models are very useful tools for the performance optimization of WiMAX networks.
Robust modelling and optimisation of stochastic processes with imprecise probabilities, applied to queueing systems Ghent University
In this project the paradigm of imprecise
probabilities (expertise 1st promotor) is applied to stochastic processes that are usually described by ‘common’, i.e. precise, probability theory. The
targeted application is on processes that occur in queueing systems (expertise of 2nd and 3rd promotor). The new treatment allows us to quantify the belief we can put in results from classic queueing analysis in the presence of ...
Stochastic modelling and control of cognitive radio networks Ghent University
Cognitive radio networks constitute an important new paradigm to cope with the spectrum scarcity of modern wireless networks. The goal of the project is to model these networks with modern tools from the field of applied probability and to design control algorithms that improve
efficiency and robustness of such networks.
Stochastic modeling and analysis of communication systems Ghent University
The project aims at the development of efficient mathematical techniques for the analysis of stochastic models that are useful for the performance analysis of modern heterogeneous telecommunciation networks. These models stem from queueing theory and estimation and decision theory. They are designed to provide more realistic characterizations for information sources and arrival streams, service mechanisms and scheduling techniques in network ...
Stochastic Modeling for Electromagnetic Interference Analysis of Complex Planar Circuits Ghent University
High operating frequencies of novel electronic devices make it increasingly hard for the designer to meet all specifications. In particular, electromagnetic compatibility (EMC) is a major concern. Moreover, as feature sizes decrease, manufacturing leads to uncertainty of the circuits’ behavior. In this Ph.D., design tools for complex planar circuits will be hugely improved by including EMC aspects and Uncertainty Quantification
Sensitivity-based uncertainty quantification for partially stochastic plasma edge simulations of nuclear fusion devices. KU Leuven
Developing and optimizing stochastic individual-based infectious disease simulation models by parallel multicore computing techniques. University of Antwerp
Multiscale simulation of stochastic and kinetic models. KU Leuven
Focus on stochastic and kinetic models. To ensure coherence, this project will focus on stochastic and kinetic equations.