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
In Memoriam Willem van Zwet (1934-2020)
Prof. Willem van Zwet from Leiden University was advisor to the Mathematisch Centrum (now called CWI) from 1965-1984, chair of CWI’s Science Committee and Member of the Board. Throughout his career, Van Zwet played a key role in academic mathematical statistics in the Netherlands.
CWI develops new mathematical techniques for optimal relocation and dispatch of fire trucks
On Monday 11 May Dmitrii Usanov will defend his PhD thesis. His research focused on dispatching and relocating resources in the emergency domain and the reduction of response times.
NEW PROBABILISTIC TECHNIQUES FOR THE ANALYSIS OF ENERGY NETWORKS UNDER UNCERTAINTY
Tommaso Nesti, PhD student at CWI’s Stochastics group, has developed new mathematical techniques to help model, control and operate modern-day power grids in the presence of uncertainty.
CWI starts development of statistical framework for prediction of fires
Recently, a project submitted to NWO-TTW's open technology programme by a consortium consisting of researchers from CWI, UT, Thales and the Twente Fire Brigade has been granted.
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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Ontwikkeling van Data Analytics, Data Science en Crypto Analyse technieken ()
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Rare events: Asymptotics, Algorithms, Applications ()
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Impactstudie Noord/Zuidlijn Gemeente Amsterdam
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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