Experimentation Projects and MSc Thesis Projects ---- Bayesian network (BN) related

In the Department's AI division, different people are working on topics related to Bayesian networks in one way or another. If you are interested in doing an experimentation project (7.5 ects or 15 ects) or an MSc thesis project on a BN related topic, you can contact one of the persons below, depending on your specific interests. General Bayesian network expertise can be found in the Decision Support Systems group; expertise on subtopics can be found in the Algorithmic Data Analysis group (learning and classification) and in the Algorithms & Complexity group (graph algorithms and complexity).

To give you an impression of the possibilities, you can have a look at some of the predefined projects, or completed projects (only first link is all Bayesian network related):

Typically, however, we like to tailor the project to your specific interests. So if you're interested, contact Silja Renooij or one of the people below.

Contacts:
Linda van der Gaag
(head of DSS group)

Expertise: both theoretical and applied projects in topics such as Bayesian networks in general, probabilistic inference, applications (mostly in life sciences), sensitivity analysis, independence relations...
Silja Renooij
(member of DSS group)

Expertise: mostly theoretical projects in topics such as Bayesian networks in general, sensitivity analysis, probability elicitation, qualitative abstractions...
Janneke Bolt
(member of DSS group)

Expertise: mostly theoretical projects in topics such as Bayesian networks in general, loopy propagation, multi-dimensional classifiers...
Hans Bodleander
(head of AC group)

Expertise: mostly theoretical projects in topics such as graph algorithms, complexity, treewidth...
Ad Feelders
(member of ADA group)

Expertise: both theoretical and applied projects (also in industry) in topics such as statistical models, learning...