Short Academic Bio

Research interests

Education

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 published partly published in the Machine Learning journal:

2012: PhD. in Applied Informatics. Faculty of Informatics and Statistics, VSE Praha

Thesis: "UNSUPERVISED ENTITY CLASSIFICATION". Results partly published in two articles in the Journal of Web Semantics:

Membership in professional societies

DBpedia association, Czech society for cybernetics and Informatics (Artificial Intelligence working group), Gesellschaft für Klassifikation (Data Science Society)