prof. RNDr. Ing. Jiří Šťastný, CSc.

E-mail:   stastny@fme.vutbr.cz 
Dept.:   Institute of Automation and Computer Science
Dept. of Applied Computer Science
Position:   Professor
Room:   A1/0623

Education and academic qualification

  • 1978, Ing. (MSc.), Faculty of Mechanical Engineering, Brno University of Technology, branch Instrumentation, Regulation and Automation Technique
  • 1984, CSc. (Ph.D.), Faculty of Mechanical Engineering, Brno University of Technology, branch Structure of Production Machines and Facilities
  • 1986, Mgr. (MSc.), Faculty of Sciences, Masaryk University in Brno, branch Mathematical Computer Science
  • 1987, RNDr., Faculty of Sciences, Masaryk University in Brno, branch Mathematical Computer Science
  • 2006, Doc. (Assoc. Prof.), Faculty of Mechanical Engineering, Brno University of Technology, branch Structural and Process Engineering
  • 2012. Prof., Faculty of Business and Economics, Mendel University in Brno, branch Managerial Computer Science

Career overview

  • 1978-1979, technical staff, Department of Machinery and Automation of Building Industry, Faculty of Civil Engineering, Brno University of Technology
  • 1979-1982, postgraduate (research education) Faculty of Mechanical Engineering, Brno University of Technology
  • 1982-1994, senior lecturer, Department of Instrumentation and Automation Technique, Faculty of Mechanical Engineering, Brno University of Technology
  • 1989-1991, research worker, Department of Technology Research, VUVL Brno
  • 1994-2006, senior lecturer, Institute of Automation and Computer Science, Faculty of Mechanical Engineering, Brno University of Technology
  • 2006-2012, assoc. prof., Institute of Automation and Computer Science, Faculty of Mechanical Engineering, Brno University of Technology
  • 2006-2012, assoc. prof., Department of Informatics, Faculty of Business and Economics, Mendel University in Brno
  • 2012-present, professor, Institute of Automation and Computer Science, Faculty of Mechanical Engineering, Brno University of Technology
  • 2012-present, professor, Department of Informatics, Faculty of Business and Economics, Mendel University in Brno

Pedagogic activities

  • BSC study programme: methods and software of system simulation
  • MSC study programme: methods and algorithms of system simulation, MSC Thesis seminars and projects
  • Ph.D. study programme: artificial intelligence methods in simulation and optimization
  • MSC Thesis supervised in applied informatics
  • Ph.D. Thesis supervised for applied informatics

Scientific activities

  • Image processing algorithms in real time
  • Artificial intelligence methods in modelling, simulation and optimization
  • Neural neworks and evolutionary algorithms for data classification and prediction

Academic internships abroad

  • 1987, Magdeburg University of Technology (Germany)
  • 1995, Graz University of Technology (Austria)

Non-University activities

  • 2006-present: Member of the System Engineering and Informatics PhD Study Academic Council at Mendel University in Brno
  • 2006-present: Member of the Systemove inzenyrstvi a informatika PhD Study Academic Council at Mendel University in Brno
  • 2011-present: Member of expert consultative body of MEYS CR for research, development and innovation
  • 2014-2018: Member of the Scientific board of the FBE, Mendel University in Brno
  • 2007-2019: Member of the Academic Senate at MENDELU in Brno
  • 2019-present: Member of the Automation of Control and Informatics PhD Study Academic Council at Mendel University in Brno

Projects

  • 1996-1997, Active Elements of High-Speed ATM Network and their Using in Academic Network, Education and Research. Research project FR470626
  • 1998-2004, Research of Communication Systems and Technologies. Research design MSM 262200011
  • 2002-2004, Non-Traditional Methods for Investigating Complex and Vague Systems. Research design MSM 261100009
  • 2003-2006, Limits for Broad-Band Signal Transmission on the Twisted Pairs and Other System Co-Existence. Research project GACR 102/03/0434
  • 2003-2006, New Methods for Location and Verification of Compliance of Quality of Service in New Generation Networks. Research project GACR 102/03/0560
  • 2007-2009, Advanced Optimisation of Communications Systems Design by Means of Neural Networks. Research project GACR 102/07/1503
  • 2007-2011, Intelligent systems in automation. Research design MSM 0021630529
  • 2009-2012, The research of energy saving equipment for achievement of interior environment comfort. Research project GACR 101/09/H050 

Sum of citations (without self-citations) indexed within SCOPUS

552

Sum of citations (without self-citations) indexed within ISI Web of Knowledge

451

Supervised courses:

Publications:

  • BRÁZDA, V.; KOLOMAZNÍK, J.; MERGNY, J.; ŠŤASTNÝ, J.:
    G4Killer web application: a tool to design G-quadruplex mutations
    journal article in Web of Science
  • BRÁZDA, V.; KOLOMAZNÍK, J.; LÝSEK, J.; BARTAS, M.; FOJTA, M.; ŠŤASTNÝ, J.; MERGNY, J.-L.:
    G4Hunter web application: a web server for G-quadruplex prediction
    journal article in Web of Science
  • LÝSEK, J.; ŠŤASTNÝ, J.:
    GRAMMATICAL EVOLUTION FOR CLASSIFICATION INTO MULTIPLE CLASSES,
    Recent Advances in Soft Computing, pp.192-210, ISBN 978-3-319-97887-1, (2019)
    book chapter
  • ŠŤASTNÝ, J.; MUNK, M.; JURÁNEK, L.:
    Automatic bird species recognition based on birds vocalization, Springer Nature
    journal article in Web of Science
  • STASTNY, J; SKORPIL, V:
    Object Recognition by Means of Early Parser Effective Implementation,
    Proc. 40th. Int. Conf. Telecommunications and Signal Processing, pp.271-274, ISBN 978-1-5090-3981-4, (2017)
    conference paper
    akce: 2017 40th International Conference on Telecommunications and Signal Processing (TSP), Barcelona, 05.07.2017-07.07.2017
  • ŠŤASTNÝ, J.; RICHTER, J.:
    Adaptation of Genetic Algorithm to Determine Air Jet Shape of Flow Visualized by Helium Bubbles, ASCE-AMER SOC CIVIL ENGINEERS, 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400, USA
    journal article in Web of Science

List of publications at Portal BUT

Abstracts of most important papers:

  • BRÁZDA, V.; KOLOMAZNÍK, J.; MERGNY, J.; ŠŤASTNÝ, J.:
    G4Killer web application: a tool to design G-quadruplex mutations
    journal article in Web of Science

    G-quadruplexes (G4) are important regulatory non-B DNA structures with therapeutic potential. A tool for rational design of mutations leading to decreased propensity for G4 formation should be useful in studying G4 functions. Although tools exist for G4 prediction, no easily accessible tool for the rational design of G4 mutations has been available. RESULTS: We developed a web-based tool termed G4Killer that is based on the G4Hunter algorithm. This new tool is a platform-independent and user-friendly application to design mutations crippling G4 propensity in a parsimonious way (i.e., keeping the primary sequence as close as possible to the original one). The tool is integrated into our DNA analyzer server and allows for generating mutated DNA sequences having the desired lowered G4Hunter score with minimal mutation steps. AVAILABILITY AND IMPLEMENTATION: The G4Killer web tool can be accessed at: http://bioinformatics.ibp.cz. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. © The Author(s) 2020. Published by Oxford University Press.
  • BRÁZDA, V.; KOLOMAZNÍK, J.; LÝSEK, J.; BARTAS, M.; FOJTA, M.; ŠŤASTNÝ, J.; MERGNY, J.-L.:
    G4Hunter web application: a web server for G-quadruplex prediction
    journal article in Web of Science

    Motivation: Expanding research highlights the importance of guanine quadruplex structures. Therefore, easy-accessible tools for quadruplex analyses in DNA and RNA molecules are important for the scientific community. Results: We developed a web version of the G4Hunter application. This new web-based server is a platform-independent and user-friendly application for quadruplex analyses. It allows retrieval of gene/nucleotide sequence entries from NCBI databases and provides complete characterization of localization and quadruplex propensity of quadruplex-forming sequences. The G4Hunter web application includes an interactive graphical data representation with many useful options including visualization, sorting, data storage and export. Availability and implementation: G4Hunter web application can be accessed at: http://bioinformat ics.ibp.cz.
  • LÝSEK, J.; ŠŤASTNÝ, J.:
    GRAMMATICAL EVOLUTION FOR CLASSIFICATION INTO MULTIPLE CLASSES,
    Recent Advances in Soft Computing, pp.192-210, ISBN 978-3-319-97887-1, (2019)
    book chapter

    In this contribution the authors deal with classification problems using an approach based on gram￾matical evolution. The named method is used to create short executable structures which are evolved to classify given input into multiple classes. Resulting structures are usable as computer programs for embedded devices with low computational resources. An universal formula for fitness value calculation of the evolved individual is introduced and an example of planar graphical objects classification in generated image dataset is presented. The presented approach is still applicable for general multi-class classification problems. The results of the proposed method are discussed and examined.
  • ŠŤASTNÝ, J.; MUNK, M.; JURÁNEK, L.:
    Automatic bird species recognition based on birds vocalization, Springer Nature
    journal article in Web of Science

    This paper deals with a project of Automatic Bird Species Recognition Based on Bird Vocalization. Eighteen bird species of 6 different families were analyzed. At first, human factor cepstral coefficients representing the given signal were calculated from particular recordings. In the next phase, using the voice activity detection system, segments of bird vocalizations were detected from which a likelihood rate, with which the given code value corresponds to the given model, was calculated using individual hidden Markov models. For each bird species, just one respective hidden Markov model was trained. The interspecific success of 81.2% has been reached. For classification into families, the success has reached 90.45%.
  • ŠŤASTNÝ, J.; RICHTER, J.:
    Adaptation of Genetic Algorithm to Determine Air Jet Shape of Flow Visualized by Helium Bubbles, ASCE-AMER SOC CIVIL ENGINEERS, 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400, USA
    journal article in Web of Science

    During the development of ventilation and air conditioning systems, it is important to verify the functionality of the devised system, especially the method by which air fills the space. In this case, an optical visualization method of introducing helium bubbles into the airflow can be used for this function. A special generator produces small bubbles filled with helium. These bubbles are visible particles of airflow, making it possible to determine the shape of such a flow. This article describes the evaluation of flow images visualized by helium bubbles. Bubbles are detected by comparing intensities and subsequently cleaning faulty bubbles. For a convex airflow shape, exact geometric methods are used, and for a more precisely nonconvex shape of airflow, a genetic algorithm is used, in which a sophisticated algorithm of arranging a boundary line from selected points is applied. The algorithm also includes a specific approach of representing individuals in population inclusive of determining their fitness values. Read More: http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29AS.1943-5525.0000650