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
Rob van der Mei in TV programme Universiteit van Nederland
Stochastics researcher Rob van der Mei has made an appearance in an episode of the TV programme 'Universiteit van Nederland'. He contributed to a series of 5 episodes themed 'Disasters'. Rob's talk focuses on how the ambulance can get to your house even faster.
NWO Complexity grant for Stochastics researchers
A consortium led by CWI researcher Rob van der Mei (Stochastics) has been awarded a grant within the Complexity in Transport & Logistics programme. Elenna Dugundji of CWI is one of the co-applicants an project manager of the research project. In total 15 proposals were submitted, of which 7 were granted. The available budget for this programme is a maximum of € 3.5 million and is provided by the NWO divisions of Social Sciences (MaGW) and Physical Sciences (EW) and the NWO governing board.
CWI launches spin-off Stokhos Emergency Mathematics
Centrum Wiskunde & Informatica (CWI) announces the foundation of its new spin-off Stokhos Emergency Mathematics. Stokhos provides software solutions which enable the proactive relocation of emergency services based on predictions of future demand.
Mathematical models for optimal coverage of emergency services
Providing proper care in time in emergency situations. This is what emergency services stand for. On 6 June mathematician Pieter van den Berg defends his PhD thesis at TU Delft. He developed models for optimising the logistics of emergency response vehicles.
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