Mgr. Ondřej Pokora, Ph.D.

Curriculum vitae

First name and surname, scientific degrees

• Mgr. Ondřej Pokora, Ph.D.
  born February 14, 1981 in Brno, Czech Republic

Department and address

• Masaryk University – Faculty of Science – Department of Mathematics and Statistics
  Kotlářská 267/2, Brno, 61137, Czech Republic – (building 08, Kotlářská campus)

Current position

• Lecturer

Education and academic qualifications

• 2009: Ph.D. (doctoral degree), Probability, statistics and mathematical modelling, Mathematical models in neurophysiology: models of olfactory neurons, Dept. of Mathematics and Statistics, Faculty of Science, Masaryk University, Brno, supervisor Petr Lánský
• 2005: Mgr. (master degree), Mathematical modelling and numerical methods, Distance measurement in microaxial tomography: some mathematical-statistical approaches (in Czech), Dept. of Mathematics and Statistics, Faculty of Science, Masaryk University
• 2003: Bc. (bachelor degree), Mathematics, Iterative methods for solving systems of linear equations (in Czech), Dept. of Mathematics, Faculty of Science, Masaryk University

Professional experience

• since 2018: Lecturer, Department of Mathematics and Statistics, Faculty of Science, Masaryk University, Brno, Czech Republic
• 2012–2018: Assistant professor, Department of Mathematics and Statistics, Faculty of Science, Masaryk University, Brno, Czech Republic
• 2011–2012: Researcher, Department of Computational Neuroscience, Institute of Physiology, Academy of Sciences of the Czech Republic, Praha, Czech Republic
• 2009–2011: Scientific research assistant, Jaroslav Hájek Center for theoretical and applied statistics, Department of Mathematics and Statistics, Faculty of Science, Masaryk University, Brno, Czech Republic
• 2005–2009: PhD student – researcher, Institute of Physiology, Academy of Sciences of the Czech Republic, Praha, Czech Republic

Teaching activities

• Stochastic analysis
• Bayesian methods
• Probability theory
• Statistics
• stochastic modeling

Research activities

• Researcher-ID B-7469-2012
• Stochastic modelling in neurophysiology
• Stochastic modelling in reliability
• Theory of estimation and information theory
• Functional data analysis

Internship and stays for the purpose of study or work

• 2008/03/03 – 2008/10/31: University of Torino, Torino, ITA
• 2006/11/20 – 2006/11/27: French National Institute for Agricultural Research, Paris, Other programs, FRA

Awards

• 2010: Prize for the doctoral thesis
• 2009: Prize of the dean of Faculty of Science
• 2006: Prize of Dept. of Mathematics

Publications

• KOLÁČEK, Jan, Ondřej POKORA, Daniela KURUCZOVÁ a Tzai-Wen CHIU. Benefits of functional PCA in the analysis of single-trial auditory evoked potentials. Computational Statistics. Germany: Springer, 2019, roč. 34, č. 2, s. 617-629. ISSN 0943-4062. Dostupné z: https://dx.doi.org/10.1007/s00180-018-0819-6. Full Text info
• VALIŠ, David, Ondřej POKORA a Jan KOLÁČEK. System failure estimation based on field data and semi-parametric modeling. Engineering Failure Analysis. Oxford: PERGAMON-ELSEVIER SCIENCE LTD, 2019, roč. 101, JUL 2019, s. 473-484. ISSN 1350-6307. Dostupné z: https://dx.doi.org/10.1016/j.engfailanal.2019.04.014. Full Text info
• VALIŠ, David, Libor ŽÁK a Ondřej POKORA. Perspective approach in using anti-oxidation and anti-wear particles from oil to estimate residual technical life of a system. Tribology International. 2018, roč. 118, February, s. 46-59. ISSN 0301-679X. Dostupné z: https://dx.doi.org/10.1016/j.triboint.2017.09.017. URL info
• TÓTH, Peter Gabriel, Petr MARŠÁLEK a Ondřej POKORA. Ergodicity and parameter estimates in auditory neural circuits. Biological Cybernetics. Springer, 2018, roč. 112, 1-2, s. 41-55. ISSN 0340-1200. Dostupné z: https://dx.doi.org/10.1007/s00422-017-0739-5. URL info
• POKORA, Ondřej, Jan KOLÁČEK, Tzai-Wen CHIU a Wei QIU. Functional data analysis of single-trial auditory evoked potentials recorded in the awake rat. BioSystems. Oxford: ELSEVIER SCI LTD, 2017, roč. 161, November, s. 67-75. ISSN 0303-2647. Dostupné z: https://dx.doi.org/10.1016/j.biosystems.2017.09.002. URL info
• VALIŠ, David, Libor ŽÁK a Ondřej POKORA. System Condition Estimation Based on Selected Tribodiagnostic Data. Quality and Reliability Engineering International. WILEY-BLACKWELL, 2016, roč. 32, č. 2, s. 635-645. ISSN 0748-8017. Dostupné z: https://dx.doi.org/10.1002/qre.1778. info
• VALIŠ, David, Libor ŽÁK, Ondřej POKORA a Petr LÁNSKÝ. Perspective analysis outcomes of selected tribodiagnostic data used as input for condition based maintenance. Reliability engineering & system safety. ELSEVIER SCI LTD, 2016, roč. 145, january, s. 231-242. ISSN 0951-8320. Dostupné z: https://dx.doi.org/10.1016/j.ress.2015.07.026. info
• VALIŠ, David, Libor ŽÁK a Ondřej POKORA. Contribution to system failure occurrence prediction and to system remaining useful life estimation based on oil field data. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. London: SAGE Publications Ltd, 2015, roč. 229, č. 1, s. 36-45. ISSN 1748-006X. Dostupné z: https://dx.doi.org/10.1177/1748006X14547789. URL info
• VALIŠ, David, Libor ŽÁK a Ondřej POKORA. Failure prediction of diesel engine based on occurrence of selected wear particles in oil. Engineering Failure Analysis. PERGAMON-ELSEVIER SCIENCE LTD, 2015, roč. 56, october, s. 501-511. ISSN 1350-6307. Dostupné z: https://dx.doi.org/10.1016/j.engfailanal.2014.11.020. info
• WAN, Ilynn, Ondřej POKORA, Tzaiwen CHIU, Petr LÁNSKÝ a Paul Waifung POON. Altered intensity coding in the salicylate-overdose animal model of tinnitus. BioSystems. ELSEVIER SCI LTD, 2015, roč. 136, october, s. 113-119. ISSN 0303-2647. Dostupné z: https://dx.doi.org/10.1016/j.biosystems.2015.06.010. info
• PILARSKI, Stevan a Ondřej POKORA. On the Cramér-Rao bound applicability and the role of Fisher information in computational neuroscience. BioSystems. ELSEVIER SCI LTD, 2015, roč. 136, october, s. 11-22. ISSN 0303-2647. Dostupné z: https://dx.doi.org/10.1016/j.biosystems.2015.07.009. URL info
• VALIŠ, David a Ondřej POKORA. Application of selected diffusion processes on system state assessment. In Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014. Wroclaw: CRC Press/Balkema, 2015, s. 911-916. ISBN 978-1-138-02681-0. info
• VALIŠ, David a Ondřej POKORA. Estimation of system residual useful life based on selected tribo data. In Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on. Selangor: IEEE Computer Society, 2015, s. 1171-1175. ISBN 978-1-4799-6410-9. Dostupné z: https://dx.doi.org/10.1109/IEEM.2014.7058823. info
• LÁNSKÝ, Petr a Ondřej POKORA. Vybrané kapitoly z matematického modelování. Online. In Holčík Jiří, Komenda Martin. Matematická biologie: e-learningová učebnice. 1. vyd. Brno, 2015. ISBN 978-80-210-8095-9. URL info
• LÁNSKÝ, Petr a Ondřej POKORA. Matematické modely v biologii. Online. In Holčík Jiří, Komenda Martin. Matematická biologie: e-learningová učebnice. 1. vyd. Brno, 2015. ISBN 978-80-210-8095-9. URL info
• VALIŠ, David, Libor ŽÁK a Ondřej POKORA. Engine residual technical life estimation based on tribo data. Eksploatacja i Niezawodnosc – Maintenance and Reliability. 2014, roč. 16, č. 2, s. 203-210. ISSN 1507-2711. info
• VALIŠ, David a Ondřej POKORA. Estimation of residual life based on vehicle tribo data. In IEEE International Conference on Industrial Engineering and Engineering Management. Bangkok: IEEE Computer Society, 2014, s. 1427-1431. ISBN 978-1-4799-0986-5. Dostupné z: https://dx.doi.org/10.1109/IEEM.2013.6962646. info
• KOŠŤÁL, Lubomír, Petr LÁNSKÝ a Ondřej POKORA. Measures of statistical dispersion based on Shannon and Fisher information concepts. INFORMATION SCIENCES. NEW YORK, NY 10010-1710 USA: ELSEVIER SCIENCE INC, 2013, roč. 235, JUN 20 2013, s. 214-223. ISSN 0020-0255. Dostupné z: https://dx.doi.org/10.1016/j.ins.2013.02.023. info
• POKORA, Ondřej. Hazard rate functions driven by finite-state and continuous-state stochastic processes. In Tomáš Pavlík, Ondřej Májek. Proceedings of the 9th Summer School on Computational Biology: Stochastic Modelling in Epidemiology. Brno: Masarykova univerzita, 2013, s. 57-66. ISBN 978-80-210-6305-1. URL info
• KOŠTÁL, Lubomír a Ondřej POKORA. Nonparametric estimation of information-based measures of statistical dispersion. Entropy. 2012, roč. 14, č. 7, s. 1221–1233. ISSN 1099-4300. Dostupné z: https://dx.doi.org/10.3390/e14071221. info
• POKORA, Ondřej a Petr LÁNSKÝ. Estimating individual firing frequencies in a multiple spike train record. Journal of Neuroscience Methods. 2012, roč. 211, č. 2, s. 191-202. ISSN 0165-0270. Dostupné z: https://dx.doi.org/10.1016/j.jneumeth.2012.09.010. info
• KOŠŤÁL, Lubomír, Petr LÁNSKÝ a Ondřej POKORA. How regular is neuronal activity. In ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, 2012, s. 495-500. ISBN 978-2-87419-049-0. info
• KOŠŤÁL, Lubomír, Petr LÁNSKÝ a Ondřej POKORA. Variability measures of positive random variables. PloS ONE. 2011, roč. 6, č. 7, s. e21998, 11 s. ISSN 1932-6203. Dostupné z: https://dx.doi.org/10.1371/journal.pone.0021998. info
• POKORA, Ondřej. Fisher information as the measure of signal optimality in olfactory neuronal neurons. In Acta Universitatis Matthiae Belii, Series mathematics, 16. Banska Bystrica, Slovakia: Matej Bel University, 2010, s. 53-63. ISBN 978-80-8083-955-0. info
• POKORA, Ondřej. Stochastic modelling of signal transduction in olfactory neurons. In 6th Summer School on Computational Biology. Brno: AKADEMICKÉ NAKLADATELSTVÍ CERM, s.r.o., 2010, s. 100-115, 15 s. ISBN 978-80-7204-698-0. URL info
• POKORA, Ondřej a Petr LÁNSKÝ. Statistical approach in search for optimal signal in simple olfactory neuronal models. Mathematical Biosciences. Amsterdam: Elsevier, 2008, Volume 214, Issues 1-2, s. 100-108. ISSN 0025-5564. doi:10.1016/j.mbs.2008.02.010 info
• LÁNSKÝ, Petr, Ondřej POKORA a Jean-Pierre ROSPARS. Classification of stimuli based on stimulus-response curves and their variability. Brain Research. Amsterdam: Elsevier, 2008, Volume 122, srpen 2008, s. 57-66. ISSN 0006-8993. doi:10.1016/j.brainres.2008.04.058 info
• POKORA, Ondřej a Petr LÁNSKÝ. Steady-State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons. In Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729. Berlin / Heidelberg: Springer, 2007, s. 360-367. ISBN 978-3-540-75554-8. doi:10.1007/978-3-540-75555-5_34 info
• LÁNSKÝ, Petr, Ondřej POKORA a Jean-Pierre ROSPARS. Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision. In Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729. Berlin / Heidelberg: Springer, 2007, s. 338-349. ISBN 978-3-540-75554-8. doi:10.1007/978-3-540-75555-5_32 info

2019/06/04