Interests

  • Artificial Intelligence and Intelligent Data Analysis
  • Probabilistic Graphical Models (Bayesian Networks, Conditional Random Fields)
  • Incorporation of domain knowledge in decision models (Monotonicity)
  • eHealth, mHealth, Personalised Healthcare
  • Intelligent Systems and Applications

Projects

  • Metis: Maritime Situation Awareness (funded by COMMIT, 2011—2015), poster
    Goal: Develop system-of-systems techniques to combine multiple sources of information, analyse them, provide risk factors and deliver the results to operators controlling maritime areas.
  • e-MomCare: Remote Monitoring in Pregnancy Care (funded by STITPRO, 2009—2013), video
    Goal: Develop a prototype of a smartphone-based decision-support system that can
    (i) collect and exchange information between the patient, measurement devices (e.g. blood pressure device), and the hospital information system
    (ii) predict the risk for developing a pregnancy disorder using an embedded probabilitic intelligent model.
  • B-Screen: Bayesian Decision Support in Medical Screening (funded by NWO, 2006—2009)
    Goal: Use of Bayesian networks and Bayesian classifiers to address the problem of mammographic interpretation failures by radiologists.

Activities

Invited talks & Presentations

Student supervision

  • Saskia Robben (Bachelor, Radboud University Nijmegen), 2010
    Thesis: Exploring discretization techniques for breast cancer detection with Bayesian networks
  • Niels Radstake (Master, Radboud University Nijmegen), 2010
    Thesis: Learning Bayesian models using mammographic features
  • Tomaž Bartolj (Master, Tilburg University), 2010
    Thesis: Testing monotonicity of variables
  • Steven Rekké (Master, Radboud University Nijmegen), 2012
    Thesis: Ahsum Nimity: exploring the possibilities of crowdsourcing Bayesian network structure learning through a video game
  • Alex Bijsterveld (Master, Radboud University Nijmegen), 2013, external examiner
    Thesis: The application of Bayesian networks in the domain of theft alarm analysis
  • Steffen Michels (PhD, Radboud University Nijmegen), ongoing (Metis project)

Affiliations

Ad-hoc Reviewing

  • IEEE Trans. on Systems, Man and Cybernetics-Part B / Neural Networks / Medical Imaging
  • Physics in Medicine and Biology
  • Information and Management
  • Foundations in Computing and Decision Sciences
  • Journal of Electronic Imaging
  • Conferences (AIME, UAI)
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