Projects
This pages lists all individual projects I am or have been formally involved in, in any way: either as PhD student, post-doc, supervisor and/or examinator. Projects are listed under the name of a particular project member; a difference in colour distinguishes former from current projects.
- Post-doctoral research projects (2)
- PhD research projects (thesis projects) (19)
- MSc research projects (thesis projects) (41)
- Experimentation projects (3)
- BSc research projects (thesis projects) (7)
- Course group projects: group projects supervised as part of regular courses (on teaching page)
Research projects (Post-doc level)
Researcher: J.H. Bolt
| project | Robust and trustworthy advice |
| part of | PersOn: Explainable, Maintainable, and Trustworthy Decision Support Systems for Personalised Care in Oncology |
| funding | NWO Perspectief |
| university | Utrecht University, NL; Department of Information and Computing Sciences, and Open University, NL. |
| period | 2023-2029 |
| my role | co-applicant subproject & co-supervisor |
Researcher: S. Renooij
| project | Practicable Decision Making Under Uncertainty |
| funding | NWO Pionier programme |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| period | 2001-2005 |
| my role | the post-doc |
Research projects (PhD level)
Student: M.T. Ozudogru
| project | Cooperation between human and AI planners |
| part of | ROBUST-RAIL (Responsible Decision Support for Efficient and Dynamic Railway Systems) ICAI-lab |
| funding | NWO KIC-LTP programme |
| university | Utrecht University, NL; Department of Experimental Psychology |
| my roles | 'co-promotor' & co-applicant subproject |
Student: L. van Leeuwen
| project | Designing a rational process for hybrid probabilistic decision making |
| part of | Hybrid Intelligence: Augmenting Human Intellect |
| funding | NWO Zwaartekracht programme |
| university | University of Groningen, NL; Department of Artificial Intelligence |
| duration | 4 yrs; starting September 2022 |
| my roles | external supervisor & 'co-promotor' |
Student: A. Onnes
| project | Monitoring and constraining adaptive systems |
| part of | Hybrid Intelligence: Augmenting Human Intellect |
| funding | NWO Zwaartekracht programme |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| duration | 5 yrs (0.8 fte); starting September 2020 |
| my roles | daily supervisor & 'co-promotor' |
Student: C. Steging
| project | Aligning designed and learning systems for responsible HI |
| part of | Hybrid Intelligence: Augmenting Human Intellect |
| funding | NWO Zwaartekracht programme |
| university | University of Groningen, NL; Department of Artificial Intelligence |
| duration | 4 yrs; starting March 2020 |
| my roles | external supervisor & 'co-promotor' |
Student: G.H. Dal
Student: G.M. Wieten
| project | Probabilistic decision-making based on Arguments and Scenarios |
| thesis | Bridging the Gap Between Informal Sense-Making Tools and Formal Systems: Facilitating the Construction of Bayesian Networks and Argumentation Frameworks |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| duration | 4 yrs; started December 2016 |
| graduated | September 8, 2021 |
| my roles | co-applicant, daily supervisor & 'co-promotor' |
Student: E. de Souza da Silva
| thesis | Factorization models with relational and contextual information |
| university | Norwegian University of Science and Technology (NTNU), Norway: Department of Computer Science |
| graduated | September 7, 2021 |
| my role | Reading committee member and examiner at defense |
Student: M.L.P. Bueno
| thesis | Unraveling Temporal Processes using Probabilistic Graphical Models |
| university | Leiden University, NL: Leiden Institute of Advanced Computer Science |
| graduated | February 11, 2020 |
| my role | Reading committee member and examiner at defense |
Student: M. Bendtsen
| thesis | Gated Bayesian Networks |
| university | Linköping University, Sweden: Department of Computer and Information Science |
| graduated | September 6, 2017 |
| my role | Reading committee member and examiner at defense |
Student: S.T. Timmer
| project | Designing and Understanding Forensic Bayesian Networks with Arguments and Scenarios |
| thesis | Designing and Understanding Forensic Bayesian Networks using Argumentation |
| funding | NWO Forensic Science programme |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| duration | 4 yrs; started: July 2012 |
| graduated | February 1, 2017 |
| my roles | co-applicant, daily supervisor & 'co-promotor' |
Student: R.M. Fernández Ropero
| thesis | Hybrid Bayesian Networks: A Statistical Tool in Ecology and Environmental Sciences |
| university | University of Almeria, Spain: Department of Biology and Geology |
| graduated | December 15, 2016 |
| my role | foreign reviewer (to achieve International Mention) |
Student: C.S. Vlek
| project | Designing and Understanding Forensic Bayesian Networks with Arguments and Scenarios |
| thesis | When Stories and Numbers Meet in Court |
| funding | NWO Forensic Science programme |
| university | University of Groningen, NL; Department of Artificial Intelligence |
| duration | 4 yrs; started: June 2012 |
| graduated | October 28, 2016 |
| my roles | co-applicant, external supervisor & 'co-promotor' |
Student: G.A.M. Lappenschaar
| thesis | New network models for the analysis of disease interaction, with applications in multimorbidity |
| university | Radboud University Nijmegen, NL; Institute for computing and Information Sciences |
| graduated | June 2, 2014 |
| my role | defense examiner |
Student: T. Boneh
| thesis | Ontology and Bayesian Decision Networks for Supporting the Meteorological Forecasting Process |
| university | Monash University Melbourne, Australia; Clayton School of Information Technology |
| graduated | 2010 |
| my role | external examiner |
Student: J. Kwisthout
| thesis | The Computational Complexity of Probabilistic Networks |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| graduated | October 29, 2009 |
| my roles | reading committee member & defense examiner |
Student: J.H. Bolt
| thesis | Bayesian Networks: Aspects of Approximate Inference |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| graduated | April 21, 2008 |
| my roles | defense examiner |
Student: S. Visscher
| thesis | Bayesian network models for the management of ventilator-associated pneumonia |
| university | University Medical Center Utrecht, NL; Internal Medicine and Infectious Diseases |
| graduated | September 30, 2008 |
| my roles | defense examiner |
Student: D. Sent
| thesis | Test-selection Strategies for Probabilistic Networks |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| graduated | October 17, 2005 |
| my roles | defense examiner |
Student: S. Renooij
| thesis | Qualitative approaches to quantifying probabilistic networks |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| duration | 4 yrs; started January 1997 |
| graduated | March 12, 2001 |
| my role | the phd student |
Research projects (MSc level)
Student: A. Pruijn
Student: A. van Gool
Student: S. van der Sman
Student: S. Jans
| thesis | Greedy causal structure learning of maximal arid graphs |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Artificial Intelligence |
| credits | 44 ects |
| graduated | February 2024 |
| my role | second examiner |
Student: S.J. Zuurmond
| thesis | Human-centred explanation of rule-based decision-making systems in the legal domain |
| external | de Belastingdienst |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Artificial Intelligence |
| credits | 44 ects |
| graduated | July 2023 |
| my role | second examiner |
Student: T. Wojcik
| thesis | What explains the difference between naive Bayesian classifiers and tree-augmented Bayesian network classifiers? |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computing Science |
| credits | 40 ects |
| graduated | May 2023 |
| my role | primary supervisor & first examiner |
Student: T. van ter Beek
| thesis | Abductive and Contrastive Explanations for Bayesian Networks and their Computational Complexity |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Double programme: Artificial Intelligence and Computing Science |
| credits | 60 ects |
| graduated | April 2023 |
| my roles | primary supervisor & first examiner |
Student: E. van den Hoogen
| thesis | Analyzing the Performance of the Linkage Tree Gene-pool Optimal Mixing Evolutionary Algorithm on Tree Decomposition Mk Landscapes using Local Optima Networks |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computing Science |
| credits | 40 ects |
| graduated | February 2023 |
| my role | second examiner |
Student: H. Kaemingk
| thesis | Sensitivity Analysis in Bayesian networks of the noisy-OR model and its generalisations |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Artificial Intelligence |
| credits | 44 ects |
| graduated | October 2021 |
| my roles | primary supervisor & first examiner |
Student: T. van Driessel
| thesis | Performance and effectiveness of Linkage Tree Gene-pool Optimal Mixing Evolutionary Algorithm on Tree Decomposition Mk Landscapes |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Game and Media Technology |
| credits | 40 ects |
| graduated | July 2021 |
| my roles | second examiner |
Student: S. Qian
| thesis | An Improved Algorithm Based on BBES for Learning Bayesian Network Structure from Data |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computing Science |
| credits | 40 ects |
| graduated | November 2020 |
| my roles | second examiner |
Student: T.A.M.P. de Leeuw
| thesis | Formatting guidelines for the manual construction of BN graphs in data-poor domains |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Artificial Intelligence |
| credits | 44 ects |
| graduated | September 2020 |
| my roles | co-supervisor & first examiner |
Student: T. Koopman
| thesis | Computing contrastive, counterfactual explanations for Bayesian networks |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Artificial Intelligence |
| credits | 44 ects |
| graduated | August 2020 |
| my roles | primary supervisor & first examiner |
Student: T. Janmaat
| thesis | Forest Inventory Modelling using Ontologies and Bayesian Networks |
| external | Land Life Company |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Business Informatics |
| credits | 40 ects |
| graduated | August 2020 |
| my roles | second examiner |
Student: L. Folkersma
| thesis | The Impact of Problem Features on NSGA-II and MOEA/D Performance |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Artificial Intelligence |
| credits | 44 ects |
| graduated | July 2020 |
| my roles | second examiner |
Student: M. van Tooren
| thesis | Large scope device recognition by power usage for crownstones: An investigation of existing methods and their limits |
| external | Almende |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Game and Media Technology |
| credits | 40 ects |
| my roles | second examiner |
Student: D. Knoope
| thesis | Learning Classification-DBNs from data |
| external | de Volksbank |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computing Science |
| credits | 40 ects |
| graduated | August 2019 |
| my roles | second supervisor & examiner |
Student: S. Both
| thesis | Deep learning model for clustering heterogeneous data: Case study of recognizing booking behavior for a major airline |
| external | KLM |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computing Science |
| credits | 40 ects |
| graduated | July 2019 |
| my roles | second examiner |
Student: J. van Dulst
| thesis | Discretisation in the context of (non)-monotonicity. |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Artificial Intelligence |
| credits | 45 ects |
| graduated | February 2019 |
| my roles | primary supervisor & first examiner |
Student: R.H. Wuijts
| thesis | Investigation of the Traveling Thief Problem |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computing Science |
| credits | 40 ects |
| graduated | June 2018 |
| my roles | second examiner |
Student: M. de Wachter
| thesis | On the errors introduced by the naive Bayes independence assumption |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Artificial Intelligence |
| credits | 45 ects |
| graduated | June 2018 |
| my roles | primary supervisor & first examiner |
Student: P. Geels
| thesis | Reuse of Bayesian Networks: A Case-study in Classical and African Swine Fever |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computing Science |
| credits | 40 ects |
| graduated | April 2018 |
| my roles | second examiner |
Student: T. Koppenberg
| thesis | Sensitivity analysis in hybrid Bayesian networks |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Artificial Intelligence |
| credits | 45 ects |
| graduated | November 2017 |
| my roles | primary supervisor & first examiner |
Student: R. van Rooij
| thesis | Gaining insight in the solution space of the MPE problem when changing evidence or parameter values |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computing Science |
| credits | 40 ects |
| graduated | November 2015 |
| my roles | primary supervisor & first examiner |
Student: J. van Leersum
| thesis | Explaining the reasoning of Bayesian networks with intermediate nodes and clusters |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Technical Artificial Intelligence |
| credits | 45 ects |
| graduated | June 2015 |
| my roles | primary supervisor & first examiner |
Student: M. van de Burgwal
| thesis | Treecost-based preprocessing algorithm for probabilistic networks |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Technical Artificial Intelligence |
| credits | 45 ects |
| graduated | March 2015 |
| my roles | second examiner |
Student: V. Doshi
| thesis | Validation of Bayesian networks with a case study on fingerprint general patterns |
| external | Netherlands Forensic Institute |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computing Science |
| credits | 40 ects |
| graduated | October 2013 |
| my roles | primary supervisor & first examiner |
Student: M. Meekes
| thesis | Sensitivity to evidence in probabilistic networks |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computing Science |
| credits | 40 ects |
| graduated | October 2013 |
| my roles | co-supervisor & first examiner |
Student: A. Melchior
| thesis | Data enrichment of spatial databases using ontologies and Bayesian networks |
| external | Geographical Information Sciences, University of Edinburgh, UK |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | (Applied) Computing Science |
| credits | 45 ects |
| graduated | August 2013 |
| my roles | co-supervisor & second examiner |
Student: R. Bertens
| thesis | Discretization of continuous-valued feature variables in naive Bayesian networks |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | (Applied) Computing Science |
| credits | 45 ects |
| graduated | July 2011 |
| my roles | co-supervisor & examiner |
Student: M.T. Rietbergen
| thesis | Restoring monotonicity in Bayesian networks |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Applied Computing Science |
| credits | 45 ects |
| graduated | 2010 |
| my role | second examiner |
Student: G. Ouwehand
| thesis | Supporting computer-aided decision making by improving alignment between human experts and probability elicitation instruments |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Content and Knowledge Engineering |
| credits | 45 ects |
| graduated | 2010 |
| my roles | co-supervisor & examiner |
Student: M. Hermsen
| thesis | Patronen voor de uitbreiding van een Bayesiaans netwerk voor de diagnose van klassieke varkenspest naar stapelniveau |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computer Science (5 year 'doctorandus' programme) |
| credits | 30 ects |
| graduated | 2007 |
| my roles | co-supervisor & examiner |
Student: T. Jellema
| thesis | Parameter tuning |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Agents and Computational Intelligence |
| credits | 45 ects |
| graduated | August 2006 |
| my roles | co-supervisor & examiner |
Student: M.P.J.J. Bouw
| thesis | DE KANSEN GEKEERD Een onderzoek naar de complexiteit van Bayesiaanse Belief Netwerken |
| external | TNO Defense and Security |
| university | University of Twente, NL; Faculty of Engineering Technology |
| programme | Civil Engineering |
| graduated | 2006 |
| my roles | external advisor & examiner |
Student: F.A. van Kouwen
| thesis | Kwalitatieve modellen voor interactieve milieubeleidsadvisering |
| external | RIVM |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computer Science (5 year 'doctorandus' programme) |
| credits | 30 ects |
| graduated | 2003 |
| my roles | co-supervisor & examiner |
Student: T. Boneh
| thesis | Support for Graphical Modelling in Bayesian Network Knowledge Engineering: A Visual Tool for Domain Experts |
| university | The University of Melbourne, Australia; Department of Computer Science and Software Engineering |
| programme | Computer Science |
| graduated | 2003 |
| my roles | external examiner |
Student: J.H. Bolt
| thesis | Kwalitatieve probabilistische netwerken: verhoging van de informativiteit bij non-monotonie |
| university | Utrecht University, NL; Faculty of Humanities |
| programme | Cognitive Artificial Intelligence |
| graduated | 2002 |
| my roles | external supervisor & examiner |
Student: P. Pardieck
| thesis | Kappa networks: combining kappa calculus with a graphical representation |
| university | Utrecht University, NL; Faculty of Humanities |
| programme | Cognitive Artificial Intelligence |
| graduated | 2001 |
| my roles | external supervisor & examiner |
Student: M. Tas
| thesis | Vergelijking van κ-waarde-georiënteerde theorieën met het formalisme van de probabilistische netwerken |
| university | Utrecht University, NL; Faculty of Humanities |
| programme | Cognitive Artificial Intelligence |
| graduated | 1998 |
| my roles | external examiner |
Student: S. Renooij
| thesis | Qualitative probabilistic networks: the binary case |
| university | Utrecht University, NL; Department of Computer Science |
| programme | Computer Science (4 year 'doctorandus' programme) |
| credits | 21 sp (1 year = 42 sp) |
| graduated | August 1996 |
| my roles | the MSc student |
Experimentation projects (MSc level)
Student: D. Knoope
| project | Exploring when continuous models outperform discretized variants in a naive Bayes classifier |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computing Science |
| credits | 7.5 ects |
| period | Spring 2018 |
| my roles | primary supervisor & examiner |
Student: R. van der Neut
| project | Using discretization in Bayesian networks |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Computing Science |
| credits | 7.5 ects |
| period | Fall 2013 |
| my roles | primary supervisor & examiner |
Student: S. Lopatatzidis
| project | Parameter tuning: refinements and experiments |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Agent Technology |
| credits | 7.5 ects |
| period | 2011-2012 |
| my roles | primary supervisor & examiner |
Research projects (BSc level)
Student: S. Kaufmann
Student: S. van Hus
| thesis | Artificial Neural Networks for playing Spades |
| university | Utrecht University, NL; Faculty of Humanities |
| programme | Artificial Intelligence |
| credits | 7.5 ects |
| graduated | 2020 |
| my roles | primary supervisor & first examiner |
Student: B. van de Sand
| thesis | Model for human killer sudoku solving |
| university | Utrecht University, NL; Faculty of Humanities |
| programme | Artificial Intelligence |
| credits | 7.5 ects |
| graduated | 2018 |
| my roles | second examiner |
Student: T. Koopman
| thesis | Van mind map naar Hypothesis Management Framework |
| university | Utrecht University, NL; Faculty of Humanities |
| programme | Artificial Intelligence |
| credits | 7.5 ects |
| graduated | July 2018 |
| my roles | primary supervisor & first examiner |
Student: I. Majoor
| thesis | Naive Bayes classifier: normally distributed continuous attributes versus the discretized version of those attributes |
| university | Utrecht University, NL; Faculty of Humanities |
| programme | Artificial Intelligence |
| credits | 7.5 ects |
| graduated | July 2017 |
| my roles | primary supervisor & first examiner |
Student: M. van Rijthoven
| thesis | Toepasbaarheid van Bayesiaanse netwerken voor cellulaire signaal transductie |
| university | Utrecht University, NL; Faculty of Humanities |
| programme | Artificial Intelligence |
| credits | 7.5 ects |
| graduated | July 2016 |
| my roles | primary supervisor & first examiner |
Student: A. Super
| thesis | Usability testing and design of a corporate website |
| ex/internal | ITPreneurs |
| university | Utrecht University, NL; Department of Information and Computing Sciences |
| programme | Information Science |
| credits | 15 ects |
| graduated | April 2013 |
| my roles | primary supervisor & first examiner |