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
Two talented PhD students, on the subject of “Machine Learning for Combatting Cybercrime"
Two talented PhD students, on the subject of “Machine Learning for Combatting Cybercrime”. Over the past few years, cybercrime has increased dramatically and has become a major threat to the proper functioning of our modern society. This has raised the need for the development of new and powerful methods to combat cybercrime.
News
CWI researchers develop new mathematical framework to explain the emergence of large blackouts
The study shows that the statistical distribution of blackout sizes can be linked to city sizes. Bert Zwart and his colleagues indicate that it might be more effective to help consumers react to a blackout instead of performing network upgrades.
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.
Members
Associated Members
Publications
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Zweers, B.G, Bhulai, S, & van der Mei, R.D. (2020). Pre-processing a container yard under limited available time. Computers & Operations Research, 123(105045). doi:10.1016/j.cor.2020.105045
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van Lieshout, M.N.M. (2020). Infill asymptotics and bandwidth selection for kernel estimators of spatial intensity functions. Methodology and Computing in Applied Probability, 22(3), 995–1008. doi:10.1007/s11009-019-09749-x
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Hut, D, Goseling, J, van Lieshout, M.N.M, de Wolf, P.-P, & de Jonge, E. (2020). Statistical disclosure control when publishing on thematic maps. In Proceedings of Privacy in Statistical Databases 2020.
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Vis, P, Bekker, R, van der Mei, R.D, & Núñez Queija, R. (2020). Heavy-traffic limits for Discriminatory Processor Sharing models with joint batch arrivals. Operations Research Letters, 48(2), 136–141.
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Berkelmans, G.A, van der Mei, R.D, Bhulai, S, Merelle, S, & Gilissen, R. (2020). Demographic risk factors for suicide among youths in the Netherlands. International Journal of Environmental Research and Public Health, 17(4). doi:10.3390/ijerph17041182
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Huizing, D, Schäfer, G, van der Mei, R.D, & Bhulai, S. (2020). The median routing problem for simultaneous planning of emergency response and non-emergency jobs. European Journal of Operational Research. doi:10.1016/j.ejor.2020.02.002
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Bhattacharya, A, & Palmowski, Z. (2019). Slower variation of the generation sizes induced by heavy-tailed environment for geometric branching. Statistics and Probability Letters, 154. doi:10.1016/j.spl.2019.06.026
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Radovanovic, A, Nesti, T, & Chen, B. (2019). A holistic approach to forecasting wholesale energy market prices. IEEE Transactions on Power Systems, 34(6), 4317–4328. doi:10.1109/TPWRS.2019.2921611
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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.
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Legemaate, G.A.G, Bhulai, S, & van der Mei, R.D. (2019). Applied urban fire department incident forecasting. In Proceedings of IARIA Data Analytics.
Current projects with external funding
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Ontwikkeling van Data Analytics, Data Science en Crypto Analyse technieken ()
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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)
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Urban Mobility Observatory (UMO)
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