Interests

• Artificial Intelligence and Intelligent Data Analysis
• Probabilistic Graphical Models (Bayesian Networks, Conditional Random Fields)
• Incorporation of domain knowledge in decision models (Monotonicity)
• 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), demo 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

• Chair of Emerging Smart Technologies for Individualised Healthcare, (Special track of CBMS'12/'13)
• Member of the Opposition Committee at the PhD defence of Maurice Samulski (December 2011, Radboud University Nijmegen)
  Thesis: Computer-aided detection as a decision aid in medical screening
• Member of Program Committee
  ProBioMed 2011, ICMLA 2011 (Session "Machine Learning in Medicine")
  PAIS 2012, ISCRAM'12/'13 (Track "Research methods")

Invited talks & Presentations

• Smart care-assistant in your pocket
  Poster presentation and demo at Health Valley Event, 2012
• Enabling personalised healthcare by using smart technologies
  EIT ICT Labs Health & Wellbeing Workshop, 2011
• Towards shared pregnancy care via the smartphone
  28e Medisch Informatica Congres (MIC), 2011
• Computer and radiologist: together against breast cancer
  KVO Borkel en Schaft, 2009

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
  Thesis: The application of Bayesian networks in the domain of theft alarm analysis
• Steffen Michels (PhD, Radboud University Nijmegen), ongoing (Metis project)

Affiliations

• ACM, IEEE
• SIKS (The Dutch Research School for Information and Knowledge Systems)

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)