Making sense of randomness to improve network performance
Methodologically, the SOR research program falls at the intersection of Applied Probability and Operations Research, and the SOR group in particular engages in cutting-edge research in the area of queueing theory and analysis of random walks and higher-dimensional Markov processes. A key aim is to develop analytic, probabilistic, algorithmic and asymptotic methods, with emphasis on asymptotic laws and scaling limits for large-scale critical systems. While fundamental and methodological in nature, the research is deeply inspired by applications in computer-communications, logistics and service operations, but also biological systems, particle interactions and social networks.
Read moreMeet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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Multi-night home assessment of sleep structure in OSA with and without insomnia
Sleep Medicine (2024) -
A Dirichlet process mixture regression model for the analysis of competing risk events
Insurance: Mathematics and Economics (2024) -
Condition-Based Production for Stochastically Deteriorating Systems: Optimal Policies and Learning
Manufacturing & Service Operations Management (2024) -
Online Positioning of a Drone-Mounted Base Station in Emergency Scenarios
IEEE Transactions on Vehicular Technology (2024) -
ASIP tandem queues with consumption
Performance Evaluation Review (2024)
Contact
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Postal address
Department of Mathematics and Computer SciencePO Box 5135600 MB EindhovenNetherlands -
Postal address
Department of Mathematics and Computer SciencePO Box 5135600 MB EindhovenNetherlands -
Visiting address
MetaForumGroene Loper 55612 AP EindhovenNetherlands -
Visiting address
MetaForumGroene Loper 55612 AP EindhovenNetherlands -
Teamleads.c.borst@ tue.nl
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Teamleado.j.boxma@ tue.nl