Description
Leader of the group Stochastics: Bert Zwart.
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.
Vacancies
PhD student on the subject of Planning and Optimization of Production Systems
Centrum Wiskunde & Informatica (CWI) has a vacancy in the Stochastics and Intelligent and Autonomous Systems research groups for a talented PhD student on the subject of Planning and Optimization of Production Systems.
News
CWI researchers make power grid more reliable with mathematics
Researchers from Centrum Wiskunde & Informatica (CWI) discovered how large fluctuations in solar and wind energy, combined with the physical network dynamics of electricity, can cause failures in power grids.
Bart Kamphorst finds best possible scheduling policy for servers in information-scarce settings
Nobody fancies a long wait between requesting some kind of online service and actually receiving that service. Therefore, in many situations, ICT-specialists aim to design their servers in such a way that their customers are served in an efficient manner. Research of CWI PhD-student Bart Kamphorst contributes a number of performance analyses of blind algorithms and moreover identifies a blind algorithm that is in some sense optimal.
More efficient ambulance planning with new mathematical models
In serious life-threatening situations a fast ambulance response is required. Late arrivals can have a serious impact on the well-being of the patients and can also have consequences regarding policy making. In practice, providing a fast ambulance response time is not always possible. PhD candidate Martin van Buuren of CWI has developed mathematical models that can help to realize fast response times.
Caroline Jagtenberg awarded Rubicon grant
Caroline Jagtenberg, who recently obtained her PhD at CWI, has been awarded an NWO Rubicon grant. With the grant, Jagtenberg will do research at the University of Auckland (New Zealand) for a period of two years.
Members
- Mihail Bazhba
- Rob van den Berg
- Guus Berkelmans
- Ayan Bhattacharya
- Etienne van de Bijl
- Bohan Chen
- Daan Crebolder
- Sara Ghazanfari
- Varun Janardhan
- Jan Klein
- Thomas Koch
- Marie-Colette van Lieshout
- Maria Mahfoud
- Rob van der Mei
- Tommaso Nesti
- Rudesindo Núñez Queija
- Brendan Patch
- Joris Pries
- Dmitrii Usanov
- Peter van de Ven
- Bert Zwart
- Bernard Zweers
Associated Members
Publications
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van Leeuwen, D. (2019, January 23). Stochastic modelling and control of road traffic congestion.
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Cahen, E.J. (2019, January 21). Rare-event simulation for multidimensional stochastic models.
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Klein, J, Bhulai, S, Hoogendoorn, M, van der Mei, R.D, & Hinfelaar, R. (2018). Detecting Network Intrusion Beyond 1999: Applying Machine Learning Techniques to a Partially Labeled Cybersecurity Dataset. In Proceedings workshop on Data Science for Crime Analytics (Santiago de Chile, December 2018).
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Chen, B, Rhee, C.H, & Zwart, A.P. (2018). Importance sampling of heavy-tailed iterated random functions. Advances in Applied Probability, 50(3), 805–832. doi:10.1017/apr.2018.37
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Boxma, O.J, & Zwart, A.P. (2018). Fluid flow models in performance analysis. Computer Communications, 131, 22–25. doi:10.1016/j.comcom.2018.07.009
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Hristov, A. V, Bhulai, S, van der Mei, R.D, & Bosman, J.W. (2018). Control of a tandem queue with a startup cost for the second server. Stochastic Models, 34(3), 362–374. doi:10.1080/15326349.2018.1491314
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Kamphorst, B. (2018, May 31). Heavy-traffic behaviour of scheduling policies in queues.
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Bhaumik, D. (2018, May 30). Computational techniques for assessing power grids with wind energy and storage.
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van Buuren, M, Jagtenberg, C.J, van Barneveld, T.C, van der Mei, R.D, & Bhulai, S. (2018). Ambulance dispatch center pilots proactive relocation policies to enhance effectiveness. Interfaces, 48(3), 235–246. doi:10.1287/inte.2017.0936
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van Leeuwen, D, Bosman, J.W, & Dugundji, E.R. (2018). Spatio-temporal clustering of time-dependent origin-destination electronic trace data. In Procedia Computer Science (pp. 359–367). doi:10.1016/j.procs.2018.04.053
Current projects with external funding
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Rare events: Asymptotics, Algorithms, Applications ()
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Impactstudie Noord/Zuidlijn Gemeente Amsterdam
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Ontwikkeling van Data Analytics, Data Science en Crypto Analyse technieken
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PPS met Cofely
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Samenwerkingsovereenkomst Stichting 113 / CWI - Zelfmoordpreventie
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Verbeteren van de efficiency en prestatie van logistieke processen in de binnenvaart
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Dynamic urban traffic flow management using floating-car, planning, and infrastructure data (Dynafloat)
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Emergency Service Logistics: Network Design and Dynamic Dispatching (DYNAMERGE)
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PPS Engie
Related partners
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CTVrede
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De Verkeersonderneming
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Gemeente Amsterdam
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Stichting 113
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Stichting Sensor City
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Cofely West Nederland
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Engie Services West Nederland B.V.