Róbert works as a senior researcher focusing on user modeling, personalization and machine learning. Lately, he has been researching how to characterize, detect and mitigate misinformation. In 2017, he obtained a Doctoral degree in Intelligent Software Systems from the Slovak University of Technology in Bratislava, where he also worked as an Assistant Professor from 2017 to 2020, teaching Intelligent Data Analysis. While at the university, he was a member of the PeWe (Personalized Web) research group led by Prof. Bieliková and worked at the User Experience and Interaction Research Center.
Róbert has co-operated in several international research projects with the University of Lugano, University of British Columbia, and Bar-Ilan University. He has worked in more than 10 national and international research projects and has been involved in multiple industry projects.
Conferences and Workshops: UMAP (Conference on User Modeling, Adaptation and Personalization), ETRA (ACM Symposium on Eye Tracking Research and Applications), IJCAI (International Joint Conference on Artificial Intelligence)
Journals: Journal of Web Engineering, Journal of Eye Movement Research
Professional Societies: ACM (Professional member), ACM Slovakia Chapter (Secretary), Slovak.AI (Supporter)
Misinformation Detection in Healthcare Domain
Automated Recognition of Antisocial Behaviour in Online Communities
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes
Quantitative and qualitative analysis of linking patterns of mainstream and partisan online news media in Central Europe
Selected Student Supervising
- Hucko Andrej – Explainable Fake News Detection Method. Defended 2020
- Kuchár Vladimír – Automatic text comprehension detection. Defended 2019
- Mokrý Martin – Identification of the user skill on the Web based on patterns in eye tracking data. Defended 2018