Basic Information

Rošťáková, Zuzana Mgr., PhD.

Phone: +421-2-591045 36

Contact Address:

Mgr. Zuzana Rošťáková, PhD.
Institute of Measurement Science
Slovak Academy of Sciences
Dúbravská cesta 9
841 04 Bratislava, Slovakia

More Information


  • 09/2016 – 02/2017 Section for Artificial Intelligence and Decision Support, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna (Ernst Mach Stipendium, Action Austria-Slovakia)
  • 2015 – 2018 Institute of Measurement Science, SAS and Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, doctoral study, study programme: Measurement Technology
  • 2013 – 2015 Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, master study, study programme: Probability and Mathematical Statistics
  • 2010 – 2013 Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, bachelor study, study programme: Mathematics


  • functional data analysis (time synchronisation of curves, cluster analysis, multilevel functional principal component analysis)
  • generalisation of the principal component analysis for tensors and multidimensional data – the Parallel Factor Analysis, Tucker model
  • multichannel EEG data analysis
  • analysis of sleep structure in patients after ischemic stroke, probabilistic sleep model

Selected Publications:

  • ROŠŤÁKOVÁ, Zuzana – ROSIPAL, Roman. Profiling continuous sleep representations for better understanding of the dynamic character of normal sleep. In Artificial Intelligence in Medicine, 2019, vol. 97, p. 152-167. ISSN 0933-3657.
  • ROŠŤÁKOVÁ, Z. – ROSIPAL, R. Time alignment as a necessary step in the analysis of sleep probabilistic curves. In Measurement Science Review, 2018, vol. 18, no. 1, p. 1-6. ISSN 1335-8871.
  • ROŠŤÁKOVÁ, Z. – DORFFNER, G. – AYDEMIR, Ö. – ROSIPAL, R. Estimation of sleep quality by using microstructure profiles. In Lecture Notes in Computer Science : 16th Conference on Artificial Intelligence in Medicine, AIME 2017, 2017, vol. 10259 LNAI, p. 105-115. ISSN 0302-9743.
  • ROŠŤÁKOVÁ, Z. – ROSIPAL, R. Multilevel functional principal component analysis for unbalanced data. In 20th European Young Statisticians Meeting. – Uppsala, Sweden : Uppsala University, 2017, p. 51-57.
  • ŠKOVIERA, R. – ROŠŤÁKOVÁ, Z. – KRAKOVSKÁ, A. – ROSIPAL, R. Spectral and complexity characteristics of sleep EEG following ischemic stroke. In YBERC 2014 : Proceedings of the 6th International Young Biomedical Engineers and Researchers Conference. Editors E. Cocherová, J. Púčik. – Bratislava : FEI STU, 2014, p. 108-114. ISBN 978-80-971697-0-1.