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 spatial statistics, in the project “State estimation for spatio-temporal point processes with applications to criminology”
Centrum Wiskunde & Informatica (CWI) has a vacancy in the Stochastics research group for a talented PhD student, on the subject of spatial statistics, in the project “State estimation for spatio-temporal point processes with applications to criminology”.
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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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
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Aveklouris, A, Vlasiou, M, & Zwart, A.P. (2019). Bounds and limit theorems for a layered queueing model in electric vehicle charging. Queueing Systems, 1–55. doi:10.1007/s11134-019-09616-z
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Gromoll, H.C, Terwilliger, B, & Zwart, A.P. (2019). Heavy traffic limit for the workload plateau process in a tandem queue with identical service times. Stochastic Processes and their Applications. doi:10.1016/j.spa.2019.05.007
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Knapen, L, Koch, T, & Dugundji, E.R. (2019). Bicyclist route choice: Data exploration and research project outline. In 10th International Conference on Ambient Systems, Networks and Technologies (pp. 401–408). doi:10.1016/j.procs.2019.04.055
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van Kampen, J.R.A, Pauwels, E.J.E.M, van der Mei, R.D, & Dugundji, E.R. (2019). Analyzing potential age cohort effects in car ownership and residential location in the metropolitan region of Amsterdam. In 10th International Conference on Ambient Systems, Networks and Technologies (pp. 543–550). doi:10.1016/j.procs.2019.04.073
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Liu, N, van de Ven, P.M, & Zhang, B. (2019). Managing appointment booking under customer choices. Management Science, 65(9), 4280–4298. doi:10.1287/mnsc.2018.3150
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Zweers, B.G, van der Mei, R.D, & Bhulai, S. (2019). Optimizing barge utilization in hinterland container transportation. Naval Research Logistics, 66(3), 253–271. doi:10.1002/nav.21837
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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.G, 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.
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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G-Moji self-help in the palm of your hand for youth at risk (G-Moji)
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Lane Analysis & Route Advisor (LARA)
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State estimation for spatio-temporal point processes with applications to criminology (None)
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PPS Engie
Related partners
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De Verkeersonderneming
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Gemeente Amsterdam
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Stichting 113
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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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Universiteit van Amsterdam
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Vrije Universiteit Amsterdam