Václav Gerla Department of Cybernetics Faculty of Electrical Engineering Czech Technical University Technická 2, 166 27 Prague 6, Czech Republic Tel.:   +420 224 357 609 Fax:   E-mail:   gerlav@feld.cvut.cz       current position      Research Fellow member of group      BioMedical Data Processing Group research interests      Vaclav Gerla works as the research fellow in the EEG data processing group at the Gerstner Laboratory. His research focuses on biomedical signal processing and analysis. The main domain is long-term EEG signals processing and automated identification and classification of biomedical data. He deals mainly with sleep and newborns EEG signals. education      Vaclav Gerla finished the M.A. in Biomedical engineering at the Faculty of Electrical Engineering of the Czech Technical University in Prague 2005. In 2012, he received the Ph.D. degree in Artificial Intelligence and Biocybernetics. projects      2005 - 2009: member of research team solving project num. 1ET101210512 "Intelligent methods for evaluation of long-term EEG recordings". 2007 - 2008: project IG CTU, CTU0712513 "Recognition and automated classification of significant areas in EEG signal". 2009 - 2011: member of research team solving project num. MSM 6840770012, "Transdisciplinary Biomedical Engineering Research II". teaching      A0B33BMI - Introduction to Biomedical Engineering and Informatics thesis      http://bio.felk.cvut.cz/psglab/disertace/disertace-2012-02-29.pdf publications      Related publication in journals: V. Gerla, K. Paul, L. Lhotska, and V. Krajca. Multivariate analysis of full-term neonatal polysomnographic data. IEEE Transactions on Information Technology in Biomedicine, 13(1):104-110, January 2009. M. Vavrecka, V. Gerla, L. Lhotska, M. Brunovsky. Frames of reference and their neural correlates within navigation in a 3D environment, Visual Neuroscience, pages 183-191, 2012. V. Gerla, M. Bursa, L. Lhotska, K. Paul, and V. Krajca. Newborn sleep stage classification using hybrid evolutionary approach. International Journal of Bioelectromagnetism-Special Issue on Recent Trends in Bioelectromagnetism, 9(1):28-29, 2007. V. Djordjevic, V. Gerla, M. Huptych, L. Lhotska, and V. Krajca. The development of modules for the support of education in the field of biomedical engineering. Elektronika ir Elektrotechnika, 102(6):47-50, 2010. Related publication in proceedings: V. Gerla, V. D. Radisavljevic, L. Lhotska, and V. Krajca. Feature Selection for Adults Sleep and Neonatal Polysomnographic Data. In IFMBE Proceedings: World Congress on Medical Physics and Biomedical Engineering. Heidelberg: Springer, vol. 39, pages 538-541, 2012. V. Gerla, V. Djordjevic, L. Lhotska, and V. Krajča. PSGlab Matlab toolbox for polysomnographic data processing: development and practical application. In 10th International Conference on Information Technology and Applications in Biomedicine, Crete, 2010. IEEE Control Syst Soc. V. Gerla, V. Djordjevic, M. Vavrecka, L. Lhotska, and V. Krajca. Application of clustering for increasing the evaluation objectivity of electroencephalographic recordings. In Proceedings of Biosignal 2010: Analysis of Biomedical Signals and Images, pages 398-404, Brno, 2010. Brno University of Technology. V. Gerla, V. Djordjevic, L. Lhotska, and V. Krajca. System approach to complex signal processing task. In Computer Aided Systems Theory - Revised Selected Papers, pages 579-586, Heidelberg, 2009. Springer. V. Gerla, V. Djordjevic, L. Lhotska, and V. Krajca. Visualization methods used for evaluation of neonatal polysomnographic data. In Proceedings of 9th Intrenational Conference on Information Technology and Applications in Biomedicine, Piscataway, 2009. IEEE. V. Gerla, M. Macas, L. Lhotska, V. Djordjevic, V. Krajca, and K. Paul. Ward's clustering method for distinction between neonatal sleep stages. In World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, pages 786-789, Berlin, 2009. Springer Science+Business Media. V. Gerla, M. BurĹĄa, L. Lhotska, P. Kordik, K. Paul, and V. Krajca. Inductive modeling in newborn sleep stage recognition. In IWIM 2007 - International Workshop on Inductive Modelling, pages 312-317, Prague, 2007. Czech Technical University in Prague. V. Gerla, L. Lhotska, V. Krajca, and K. Paul. Multichannel analysis of the newborn EEG data. In International Special Topics Conference on Information Technology in Biomedicine, Piscataway, 2006. IEEE. Authorized software: V. Gerla, V. D. Radisavljevic, and L. Lhotska. Polysomnographic Data Processing Toolbox for Matlab, 2011. other links      Biodat - Biomedical Data and Signal Processing Group PSGlab - Polysomnographic Data Processing Matlab Toolbox MIPS - Microscopy Image Processing Software           About UsAbout Us   PeoplePeople   faculty membersfaculty members   managementmanagement   researchersresearchers   PhD studentsPhD students   administrationadministration   visitorsvisitors   ResearchResearch   EventsEvents   TeachingTeaching   Job offers/VacancyJob offers/Vacancy   ContactContact (c)2002 The Gerstner Laboratory All Rights Reserved   last modified:, webmaster home   site map                                                                                                                                                                                                                     Search