Anna Wilbik is an Assistant Professor in the Information Systems Group of the School of Industrial Engineering at Eindhoven University of Technology (TU/e). Her areas of expertise include artificial intelligence, neural networks, expert systems, information systems and databases, business intelligence, data mining, machine learning and predictive modeling. Anna’s research interests are focused on linguistic summaries, data analysis, machine learning, and computational intelligence. She is especially interested in application of these areas in healthcare and is part of the TU/e BMT Institute for Biomedical technology.
Anna Wilbik received her PhD in Computer Science from the Systems Research Institute, Polish Academy of Science, Warsaw, Poland, in 2010. She also holds an MSc in Computer Science (with honors) from Warsaw University of Technology. Anna is an alumnus of the Stanford University TOP500 Innovators: Science - Management - Commercialization Program. In 2011, she was a Post-doctoral Fellow with the Department of Electrical and Computer Engineering, University of Missouri, Columbia, USA.
Anna has previously held positions at the Faculty of Mathematics and Information Science at Warsaw University of Technology and at the Warsaw School of Information Technology and translated several academic books for PWN Polish Scientific Publishers. She has published over 50 papers in international journals and conferences and was part of organization of a few conferences in the area of IT and computational intelligence. Anna is also chair of the IEEE CIS task force on Linguistic Summaries and Description of Data.
On fuzzy compliance for clinical protocols17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018) (2018)
A model based simulation toolkit for evaluating renal replacement policies2017 Winter Simulation Conference (WSC 2017) (2018)
On the interaction between feature selection and parameter determination in fuzzy modelling17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018) (2018)
An enhanced approach to rule base simplification of first-order takagi-sugeno fuzzy inference systems4th Annual Symposium on Combinatorial Pattern Matching (CPM1993), June 2-4, 1993, Padova, Italy (2018)
Finding the optimal number of features based on mutual information10th Conference of the European Society for Fuzzy Logic and Technology, (EUSFLAT 2017) and 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2017, 11-15 September 2017, Warsaw, Poland (2018)
- Business Intelligence
- Business information systems management
- Business Modeling
No ancillary activities