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PhD students

  1. Jan Kleijn, Intelligence analytics, 2020.
  2. Jaap Storm, Models for road traffic, 2020.
  3. Bernard Zweers, Container logistics, 2020.
  4. Jacky Li, Modeling and optimization for mixed routing and pricing systems, 2020.
  5. Corne de Ruijt, HR analytics, 2020.
  6. Willem van der Sluis, Anomalous decision emergence systems, 2019.
  7. Daphne van Leeuwen, Dynamic traffic management for road traffic, 2019.
  8. Asparuh Hristov, Performance and capacity management for application chains, 2019.
  9. Ruben van de Geer, Dynamic pricing and auctioning, 2019.
  10. Marijn ten Thij, Algorithms and analysis for streaming Twitter data, 2018.
  11. Maria Mahfoud, Scheduling and planning for policy workforce, 2017.
  12. Geert-Jan Kommer, Planning and design of emergency services, 2017.
  13. Martin van Buuren, Proactive planning of ambulance services, 2017.
  14. Caroline Jagtenberg, "Efficiency and fairness in ambulance planning", 28 February 2017.
  15. Thije van Barneveld, "Relocation algorithms for emergency medical systems", 25 January 2017.
  16. Martijn Onderwater, "Networks of sensors: operation and control", 8 February 2016.
  17. Frank Phillipson, "Efficient algorithms for infrastructure networks: planning issues and economic impact", 12 June 2014.
  18. Melania Calinescu, "Optimal resource allocation in adaptive survey designs", 13 November 2013.
  19. Aniel Bhulai, "Dynamic website optimization through autonomous management of design patterns", 25 November 2011.
  20. Ran Yang, "Adaptive resource allocation in high-performance distributed multimedia computing", 23 May 2011.
  21. Dennis Roubos, "The application of Approximate Dynamic Programming techniques", 7 September 2010.
  22. Nicole Leder, "The deviation matrix of continuous-time Markov processes: theory and applications", 12 April 2010.

PhD committees

  1. Petra Vis, "Performance analysis of multi-class queueing models", 18 september 2017.
  2. Britt Mathijsen, "Asymptotic dimensioning of stochastic service systems", 18 May 2017.
  3. Dirk Sierag, "Revenue management in the hotel industry: from practice to theory", 30 March 2017.
  4. Robert Konijn, "Detecting interesting differences - data mining in health insurance data", 28 February 2017.
  5. Joost Berkhout, "Topics in Markov chain theory and simulation optimization", 21 December 2016.
  6. Herman Blok, "Unbounded-rate Markov decision processes: structural properties via a parametrisation approach", 23 June 2016.
  7. Sihan Ding, "Workforce management in call centers: forecasting, staffing and empirical studies", 25 May 2016.
  8. Joost Bosman, "Optimal quality of service control in communication systems", 12 February 2014.
  9. Warren Volk-Makarewicz, "Advances in derivative estimation: ranked data, quantiles, and options", 6 October 2013. 
  10. Pia Kempker, "Coordination control of linear systems", 23 November 2012.
  11. Alex Roubos, "Service-level variability and impatience in call centers", 25 June 2012.
  12. Gerard Hoekstra, "Concurrent access and traffic control methods in wireless communication networks", 9 March 2012.
  13. Taoying Farenhorst-Yuan, "Efficient simulation algorithms for optimization of discrete event systems based on measure-valued differentiation", 24 March 2010.
  14. Marco Bijvank, "Service inventory management: solution approaches for inventory systems without backorders", 22 October 2009.
  15. Wemke van der Weij, "Queueing networks with shared resources", 23 April 2009.

Research projects

Predictive HR Analytics

Predictive HR Analytics

Analytics that leverages the wealth of employee data to make better decisions.
Social Media Analytics

Social Media Analytics

Take the pulse of your audience: from social listening to social intelligence.
Dynamic Pricing

Dynamic Pricing

Advanced analytics for pricing: with power like this, comes great opportunity.
Dynamic Ambulance Management

Dynamic Ambulance Management

Proactive planning of ambulances: analytics that saves lives.
Predictive Policing

Predictive Policing

Data-driven policing: understanding crime with analytics.
Planning in Telecommunications

Planning in Telecommunications

Analytics to anticipate problems, predict performance, and optimize services.
  • Predictive HR Analytics
  • Social Media Analytics
  • Dynamic Pricing
  • Dynamic Ambulance Management
  • Predictive Policing
  • Planning in Telecommunications
  • Predictive HR Analytics

    Analytics that leverages the wealth of employee data to make better decisions.

    Research Goals

    The emergence of predictive analytics is arguably the most practical tool and greatest potential for organisational management. It presents a tremendous opportunity to help organisations understand what they do not yet know. By identifying trends and patterns, HR professionals and management teams can make better strategic decisions about the workforce challenges that they may soon face. In this research project we focus on
    • Diversity analytics
    • Employee engagement
    • Employee performance
    • Employee turnover
    • Recruitment and selection analytics

    PhD students

    • Ruben van de Geer
    • Corne de Ruijt

  • Social Media Analytics

    Take the pulse of your audience: from social listening to social intelligence.

    Research Goals

    Conversations on the Internet produce massive amounts of unstructured data. By listening to these conversations, one can gain greater visibility into a topic or market by spotting trends and discovering new insights in data across multiple social channels. Social media analytics is key in attaining these goals. In this research project we focus on
    • Computational linguistics
    • Network analytics
    • Real-time clustering
    • Topic detection
    • Trend prediction

    PhD students

    • Marijn ten Thij

  • Dynamic Pricing

    Advanced analytics for pricing: with power like this, comes great opportunity.

    Research Goals

    The core of modern pricing and profitability management is advanced analytics targeted at customer and business outcomes to understand price leveraging and trade spend effectiveness. Optimization of pricing decisions represent one of the largest opportunities for companies to drive incremental sales and profits. In this research project we focus on
    • Assortment analytics
    • Customer choice models
    • Dynamic pricing
    • Markdown strategies
    • Personalised pricing

    PhD students

    • Ruben van de Geer
    • Rudi Meijer

  • Dynamic Ambulance Management

    Proactive planning of ambulances: analytics that saves lives.

    Research Goals

    In life-threatening emergency situations where every second counts, the ability of ambulance service providers to arrive at the emergency location within a few minutes to provide medical aid can make the difference between survival or death. A highly promising development in the ambulance sector is the emergence of dynamic and proactive relocation strategies. Analytics forms the basis for this analysis. In this research project we focus on
    • Approximate Dynamic Programming
    • Dynamic relocation
    • Fleet planning
    • Optimal dispatching
    • Response time reductions

    PhD students

    • Thije van Barneveld
    • Martin van Buuren
    • Caroline Jagtenberg
    • Geert-Jan Kommer

  • Predictive Policing

    Data-driven policing: understanding crime with analytics.

    Research Goals

    Predictive policing, with roots in business analytics, relies on using advanced technological tools and data analysis to take proactive measures to “pre-empt” crime. It helps nationwide law enforcement agencies that face the problem of doing more with less. Moreover, these techniques help to understand crime to implement appropriate interventions. In this research project we focus on
    • Anomaly detection
    • Forecasting
    • Hotspot mapping
    • Residential burglary
    • Spatio-temporal modelling

    PhD students

    • Maria Mahfoud
    • Willem van der Sluis

  • Planning in Telecommunications

    Analytics to anticipate problems, predict performance, and optimize services.

    Research Goals

    Business analytics encompass sophisticated business intelligence technologies that are packaged to satisfy the complex requirements of telecommunications. These include increasing sales, reducing churn and fraud, improving risk management and decreasing operational costs. The adoption of analytics in telecommunications is intended to improve visibility into core operations, internal processes and market conditions. In this research project we focus on
    • Cache design
    • Capacity planning
    • Performance prediction
    • Network optimization
    • Sensor networks

    PhD students

    • Asparuh Hristov
    • Martijn Onderwater
    • Frank Phillips

  • Predictive HR Analytics
  • Social Media Analytics
  • Dynamic Pricing
  • Dynamic Ambulance Management
  • Predictive Policing
  • Planning in Telecommunications