Head of the Artificial Intelligence and Data science MSc Programme at the Faculty of Informatics and Statistics, VŠE Prague
Head of the Information science and web enbineering BSc Programme at Faculty of Informatics and Statistics, VŠE Prague
explainable machine learning (rule learning)
psychology in machine learning (cognitive biases)
natural language processing (entity recognition, knowledge graphs)
preference learning, utility theory
2025: Professor of Applied Informatics. VSE Praha
2019: docent (Associate professor) - Applied Informatics. VSE Praha.
2017: PhD. Research in Electronic Engineering. School of Computer Science and Electronic Engineering, Queen Mary University London. Degree recognized in the Czech Republic as Ph.D. in Artificial Intelligence and Biocybernetics.
Thesis: "EFFECT OF COGNITIVE BIASES ON HUMAN UNDERSTANDING OF RULE-BASED MACHINE LEARNING MODELS". Results partly published in:
Tomáš Kliegr, Štěpán Bahník, Johannes Fürnkranz. "A review of possible effects of cognitive biases on the interpretation of rule-based machine learning models". Artificial Intelligence. In print.
Fürnkranz, Johannes, Tomáš Kliegr, and Heiko Paulheim. "On cognitive preferences and the plausibility of rule-based models." Machine Learning 109.4 (2020): 853-898.
Kliegr, Tomáš, Ebroul Izquierdo. "QCBA: improving rule classifiers learned from quantitative data by recovering information lost by discretisation" Applied Intelligence. Springer. 2023. Alsoin CRAN package qCBA.
2012: PhD. in Applied Informatics. Faculty of Informatics and Statistics, VSE Praha
Thesis: "UNSUPERVISED ENTITY CLASSIFICATION WITH WIKIPEDIA AND WORDNET". Results partly published in two articles in the Journal of Web Semantics:
Kliegr, Tomáš. "Linked hypernyms: Enriching DBpedia with targeted hypernym discovery." Journal of Web Semantics 31 (2015): 59-69.
Kliegr, Tomáš, and Ondřej Zamazal. "LHD 2.0: A text mining approach to typing entities in knowledge graphs." Journal of Web Semantics 39 (2016): 47-61.
Fellow of AI Czechia, Czech Society for Cybernetics and Informatics (Artificial Intelligence working group), Gesellschaft für Klassifikation (Data Science Society), DBpedia association