dr. S. (Stella) Kapodistria - Expertises
5600 MB EINDHOVEN
- D11600 - Waarschijnlijkheidsrekening en statistiek
- D11700 - Operationele research
Stella Kapodistria is assistant professor in the section Stochastics of the Department of Mathematics and Computer Science in Eindhoven University of Technology. Her main research interests are in the field of Applied Probability - Stochastic Processes and Queueing Theory. More concretely: on the modeling and study of stochastic processes with applications to queueing theory, population growth models and maintenance design. The research topics that motivate her research tend to be real-life problems arising from practical situations, which can be analyzed using traditional and non-traditional tools from queueing theory and stochastic processes. Areas of research include catastrophic mechanisms for biological populations, web systems and internet protocols, communications and traffic systems and maintenance scheduling and design. Other areas of interest include exact and asymptotic analysis and stochastic models and tools. Her approach to education can be summed up as ‘engaging students, ensuring they have a full grasp of theoretical material and its practical relevance, and making sure they understand how this is applied.”
Stella obtained her PhD in Mathematics from the University of Athens with Honors (summa cum laude) in 2009, after obtaining an MSc in Statistics and Operations Research with Honors two years earlier. She was an adjunct lecturer (2009-10) at the University of the Aegean, Greece. In 2011 she moved to the Department of Mathematics and Computer Science (W&I), TU/e, where she worked as a Postdoctoral Fellow until 2013. Following this, she worked as a visiting assistant professor at Groningen University. Stella is a frequent guest speaker at events worldwide and assistant Editor for the Quality Technology & Quantitative Management journal. She has also refereed manuscript submissions for a wide range of leading journals, including IEEE Systems Journal - Mathematical and Computer Modeling, European Journal of Operational Research and Annals of Operation Research.