Developing and studying probabilistic, operational and statistical models to model, describe, and improve communication, energy, information, logistics, and transportation systems.
Many natural and man-made systems and processes are driven by random phenomena. Examples can be found in areas such as communication, energy, information, logistics, and transportation systems. In order to model, describe, and improve such systems, our group develops and studies probabilistic, operational and statistical models. Our group’s analysis of these models relies on techniques from fundamental probability theory, queueing theory, stochastic scheduling, spatial stochastics and stochastic geometry. Our work with various companies in these areas, as well as with top researchers and universities across the globe, ensures our position at the forefront of every aspect of this research field.
Current projects with external funding
- Ontwikkeling van Data Analytics, Data Science en Crypto Analyse technieken
- Samenwerkingsovereenkomst Stichting 113 / CWI - Zelfmoordpreventie
- Systemic expansion of territorial CIRCULAR Ecosystems for end-of-life FOAM (CIRCULAR FOAM)
- Customized and Coordinated Solutions for Congestion Bottlenecks in our infrastructure (COCONUT)
- Data-driven optimization for a vital elderly care system in the Netherlands (DOLCE VITA)
- Freight Traffic Management As A Service (FTMAAS) (FTMAAS)
- Networks COFUND OIO's (Networks COFUND OIO's)
- State estimation for spatio-temporal point processes with applications to criminology (None)
- Bestrijding cybercrime met behulp van Kunstmatige Intelligentie (PPS Cybercrime AI)
- Robust, Effective and Adaptable Ship Designs for Uncertain Transition Paths (READINESS)
- Urban Mobility Observatory (UMO)