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.
News
NWO KLEIN grant for Stacey Jeffery and Marie Colette van Lieshout
CWI researchers Stacey Jeffery and Marie Colette van Lieshout have been awarded a grant from the NWO KLEIN programme.
Amsterdam based Knowledge and health care institutes join forces to improve urgent care for the elderly
Centrum Wiskunde & Informatica (CWI), VU University Amsterdam, Amsterdam UMC, Amsterdam health & technology institute (ahti), and health care institution SIGRA have joined forces in a new research project called “DOLCE VITA”.
ELA Best Presentation award for Bernard Zweers
Bernard Zweers of CWI’s Stochastics group has been awarded the best presentation award at the 24th doctorate workshop of the European Logistics Association.
CWI develops models for prevention and reduction of traffic jams
Daphne van Leeuwen of CWI’s Stochastics group focused on the following research question during her PhD: How to design effective control mechanisms to reduce or prevent congestion road networks in the omnipresence of uncertainty?
Members
Associated Members
Publications
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Usanov, D. (2020, May 11). Emergency response networks: dynamic dispatching and relocation of resources.
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Nesti, T. (2020, March 30). Stochastic analysis of energy networks.
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Saxena, M, Kapodistria, S, & Núñez Queija, R. (2020). Perturbation analysis of two queues with random time-limited polling. In Queueing Theory and Network Applications.
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Berkhout, J, Pauwels, E.J.E.M, van der Mei, R.D, Stolze, J, & Broersen, S. (2020). Short-term production scheduling with non-triangular sequence-dependent setup times and shifting production bottlenecks. International Journal of Production Research. doi:10.1080/00207543.2019.1705420
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Koch, T, Knapen, L, & Dugundji, E.R. (2019). Path complexity and bicyclist route choice set quality assessment. Personal and Ubiquitous Computing. doi:10.1007/s00779-019-01350-w
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Chen, B. (2019, December 11). Heavy tails : asymptotics, algorithms, applications.
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Zweers, B.G, Bhulai, S, & van der Mei, R.D. (2019). Optimizing pre-processing and relocation moves in the Stochastic Container Relocation Problem. European Journal of Operational Research. doi:10.1016/j.ejor.2019.11.067
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Bazhba, M, Blanchet, J, Rhee, C.H, & Zwart, A.P. (2019). Queue length asymptotics for the multiple-server queue with heavy-tailed Weibull service times. Queueing Systems, 93(3-4), 195–226. doi:10.1007/s11134-019-09640-z
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Usanov, D, van de Ven, P.M, & van der Mei, R.D. (2019). Dispatching fire trucks under stochastic driving times. Computers and Operations Research, 114. doi:10.1016/j.cor.2019.104829
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van Leeuwaarden, J.S.H, Mathijsen, B, & Zwart, A.P. (2019). Economies-of-scale in many-server queueing systems: Tutorial and partial review of the QED Halfin-Whitt heavy-traffic regime. SIAM Review, 61(3), 403–440. doi:10.1137/17M1133944
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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Samenwerkingsovereenkomst Stichting 113 / CWI - Zelfmoordpreventie
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Data-driven optimization for a vital elderly care system in the Netherlands (DOLCE VITA)
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Dynamic urban traffic flow management using floating-car, planning, and infrastructure data (Dynafloat)
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Lane Analysis & Route Advisor (LARA)
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Evidence-based effective monitoring and control of Covid-19 after the initial outbreak (None)
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Het dectecteren van (corona-gerelateerde) problemen bij de hulpvragers van 113 Zelfmoordpreventie voor en de uitbraak van de coronapandamie in Nederland middels state-of-the-art Natural Language Processing (NLP) (None)
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State estimation for spatio-temporal point processes with applications to criminology (None)
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PPS Engie
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Robust, Effective and Adaptable Ship Designs for Uncertain Transition Paths (READINESS)
Related partners
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De Verkeersonderneming
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Gemeente Amsterdam
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RIVM
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Stichting 113
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Universiteit Wageningen
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Academisch Medisch Centrum
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Stichting Sensor City
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Engie Services West Nederland B.V.
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Erasmus Universiteit Rotterdam
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Leids Universitair Mediach Centrum
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Technische Universiteit Eindhoven
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Technische Universiteit Delft
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Universiteit Utrecht
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Vrije Universiteit Amsterdam