UCM
Research/art/teacher profile of a person
Name and surname:
 doc. Ing. Michal Čerňanský, PhD.
Email:
 michal.cernansky@ucm.sk
Homepage:
 http:\\
Fakulta/Univerzita:
FPV UCM - Faculty of Natural Sciences
Pracovisko:
UPTI - Ústav počítačových technológií a informatiky

I. - Basic information

I.1 - Surname
Čerňanský
I.2 - Name
Michal
I.3 - Degrees
Assoc. prof., Ing. PhD.
I.4 - Year of birth
1976
I.5 - Name of the workplace
Institute of Computer Technologies and Informatics, University of SS. Cyril and Methodius in Trnava
I.6 - Address of the workplace
Nám. J. Herdu 2, 917 01 Trnava
I.7 - Position
associate professor
I.8 - E-mail address
michal.cernansky@ucm.sk
I.9 - Hyperlink to the entry of a person in the Register of university staff
https://www.portalvs.sk/regzam/detail/13245
I.10 - Name of the study field in which a person works at the university
18 Informatics
I.11 - ORCID iD
0000-0001-5011-5293

II. - Higher education and further qualification growth

II.1 - First degree of higher education
II.a - Name of the university or institution
Faculty of Electrical Engineering and Information Technology, SUT Bratislava
II.b - Year
1999
II.c - Study field and programme
Informatics
II.2 - Second degree of higher education
II.a - Name of the university or institution
Faculty of Electrical Engineering and Information Technology, SUT Bratislava
II.b - Year
2001
II.c - Study field and programme
Informatics
II.3 - Third degree of higher education
II.a - Name of the university or institution
Faculty of Informatics and Information Technologies, SUT Bratislava
II.b - Year
2007
II.c - Study field and programme
Applied Informatics
II.4 - Associate professor
II.a - Name of the university or institution
Faculty of Informatics and Information Technologies, SUT Bratislava
II.b - Year
2011
II.c - Study field and programme
Applied Informatics
II.5 - Professor
II.6 - Doctor of Science (DrSc.)

III. - Current and previous employment

III.a - Occupation-position III.b - Institution III.c - Duration
Associate Professor Department of Computer Technologies and Informatics (formerly Department of Applied Informatics), Faculty of Natural Sciences, UCM 2012 - present
Associate Professor Faculty of Informatics and Information Technologies, SUT Bratislava 2004 - present

IV. - Development of pedagogical, professional, language, digital and other skills

IV.a - Activity description, course name, other IV.b - Name of the institution IV.c - Year
Research stay University of Birmingham, UK University of Birmingham, UK 2007
International Summer School on Machine Learning, Exeter, UK University of Exeter, UK 2004

V. - Overview of activities within the teaching career at the university

V.1 - Overview of the profile courses taught in the current academic year according to study programmes
V.1.a - Name of the profile course V.1.b - Study programme V.1.c - Degree V.1.d - Field of study
Programming I applied informatics I. Computer Science
Programming II applied informatics I. Computer Science
Modern Programming Languages applied informatics I. Computer Science
Internet Technologies applied informatics I. Computer Science
Advanced Internet Technologies applied informatics I. Computer Science
Mobile Technologies applied informatics I. Computer Science
Parallel and Distributed Systems applied informatics II. Computer Science
Web Design and Technologies applied informatics II. Computer Science
V.2 - Overview of the responsibility for the delivery, development and quality assurance of the study programme or its part at the university in the current academic year
V.3 - Overview of the responsibility for the development and quality of the field of habilitation procedure and inaugural procedure in the current academic year
V.4 - Overview of supervised final theses
V.4.1 - Number of currently supervised theses
V.4.a - Bachelor's (first degree)
4
V.4.b - Diploma (second degree)
0
V.4.c - Dissertation (third degree)
0
V.4.2 - Number of defended theses
V.4.a - Bachelor's (first degree)
89
V.4.b - Diploma (second degree)
32
V.4.c - Dissertation (third degree)
0
V.5 - Overview of other courses taught in the current academic year according to study programmes
V.5.a - Name of the course V.5.b - Study programme V.5.c - Degree V.5.d - Field of study
Parallel and Distributed Systems applied informatics II. Computer Science
Multimedia Systems applied informatics II. Computer Science

VI. - Overview of the research/artistic/other outputs

VI.1 - Overview of the research/artistic/other outputs and the corresponding citations
VI.1.1 - Number of the research/artistic/other outputs
VI.1.a - Overall
40
VI.1.b - Over the last six years
6
VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases
VI.1.a - Overall
16
VI.1.b - Over the last six years
3
VI.1.3 - Number of citations corresponding to the research/artistic/other outputs
VI.1.a - Overall
249
VI.1.b - Over the last six years
53
VI.1.4 - Number of citations registered in the Web of Science or Scopus databases
VI.1.a - Overall
244
VI.1.b - Over the last six years
51
VI.1.5 - Number of invited lectures at the international, national level
VI.1.a - Overall
VI.1.b - Over the last six years
VI.2 - The most significant research/artistic/other outputs

Čerňanský, M., Luptáková, I. D.: Multi-reservoir Echo State Networks with Encoders, CSOC 2022

Čerňanský, M., Huraj, L. Šimon, M.: Controlled DDoS attack on IPv4/IPv6 network using distributed computing infrastructure, Journal of Information and Organizational Sciences, vol. 44, no. 2 (2020): 297-316.

Tino, P., Cernansky, M., & Benuskova, L. (2004). Markovian architectural bias of recurrent neural networks. IEEE Transactions on Neural Networks, 15(1), 6-15.

Cernansky, M., & Benuskova, L. (2003). Simple recurrent network trained by RTRL and extended Kalman filter algorithms. Neural Network World, 13(3), 223-234.

 Čerňanský, M., & Tiňo, P. (2008, September). Predictive modeling with echo state networks. In International Conference on Artificial Neural Networks (pp. 778-787). Springer, Berlin, Heidelberg.

VI.3 - The most significant research/artistic/other outputs over the last six years

Čerňanský, M., Luptáková, I.D. (2022). Multi-reservoir Echo State Networks with Encoders. In: Silhavy, R. (eds) Artificial Intelligence Trends in Systems. CSOC 2022. 

Čerňanský, M., Jurinová, J. (2022) Using BBC Micro:bit in University Environment. IN: International Conference on Emerging eLearning Technologies and Applications. ICETA 2022.

Čerňanský, M., Huraj, L. Šimon, M.: Controlled DDoS attack on IPv4/IPv6 network using distributed computing infrastructure, Journal of Information and Organizational Sciences, vol. 44, no. 2 (2020): 297-316.

Čerňanský, M., Gabriška, D.: Improving public transit trip planning using cartographic data. In: Applied Natural Sciences 2019, Conference Proceedings of the 7th Biennial International Scientific Conference, 2019.

Čerňanský, M.: Teaching Synchronization in Parallel Computing. IN: International Conference on Emerging eLearning Technologies and Applications. ICETA 2023.

VI.4 - The most significant citations corresponding to the research/artistic/other outputs

Čerňanský, M., Makula, M. Feed-forward echo state networks. (2005) In: Proceedings of the International Joint Conference on Neural Networks, 3, art. no. 1556094, pp. 1479-1482.:

- Lukoševičius M., Jaeger H.: Reservoir computing approaches to recurrent neural network training (2009) Computer Science Review, 3 (3), pp. 127 - 149. The citing work is cited 2089 times.

Tino, P., Cernansky, M., & Benuskova, L. (2004). Markovian architectural bias of recurrent neural networks. IEEE Transactions on Neural Networks, 15(1), 6-15.

- Zhang H., Wang Y. Stability analysis of Markovian jumping stochastic Cohen-Grossberg neural networks with mixed time delays (2008) IEEE Transactions on Neural Networks, 19 (2), pp. 366 - 370, Cited 274 times.

Čerňanský M., Makula M., Beňušková Ľ. Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures (2007) Neural Networks, 20 (2), pp. 236 - 244

- Hu C., Youn B.D., Wang P., Taek Yoon J. Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life (2012) Reliability Engineering and System Safety, 103, pp. 120 - 135

Čerňanský M., Tiňo P. Predictive modeling with echo state networks (2008) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5163 LNCS (PART 1), pp. 778 - 787

- Gallicchio C., Micheli A. Architectural and Markovian factors of echo state networks (2011) Neural Networks, 24 (5), pp. 440 - 456

Čerňanský M. Training recurrent neural network using multistream extended kalman filter on multicore processor and cuda enabled graphic processor unit (2009) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5768 LNCS (PART 1), pp. 381 - 390

- Weninger F., Bergmann J., Schuller B. Introducing CURRENNT: The Munich open-source CUDA RecurREnt neural network toolkit (2015) Journal of Machine Learning Research, 16, pp. 547 - 551. The citing work is cited 169 times.

VI.5 - Participation in conducting (leading) the most important research projects or art projects over the last six years

Erasmus+ Cooperation Partnerships (KA220-HED): 2022-1-PL01-KA220-HED-000088359, FAAI: The Future is in Applied Artificial Intelligence. 2022 - 2024.

KEGA 017UCM-4/2022 - KEGA - Vývoj interaktívneho e-kurzu s využitím „SMART“ technológií na rozvoj algoritmického myslenia a programátorských zručností.

2016 – 2019, OPVaI-VA/DP/2018/1.1.3-09 313011W258 Sieťová bezpečnosť s podporou výpočtovej inteligencie a IoT/2016 – 2019, OPVaI-VA/DP/2018/1.1.3-09 313011W258 Network security supported by computational intelligence and IoT.

VII. - Overview of organizational experience related to higher education and research/artistic/other activities

VIII. - Overview of international mobilities and visits oriented on education and research/artistic/other activities in the given field of study

VIII.a - Name of the institution VIII.b - Address of the institution VIII.c - Duration (indicate the duration of stay) VIII.d - Mobility scheme, employment contract, other (describe)
Oulu University of Applied Sciences Finland 9 - 13. 4. 2018 Erasmus+
Vytautas Magnus University, Kaunas Lithuania 21 - 25. 5. 2018 Erasmus+
Univerzita J. E. Purkyně, Ústí nad Labem Czech Republic 20 - 24. 5. 2019 Erasmus+

IX. - Other relevant facts

IX.a - If relevant, other activities related to higher education or research/artistic/other activities are mentioned

Reviews: 

RNDr. theses minimové PhD. theses

international conferences

journals: „Computing and Informatics“, „Neurocomputing“, „Neural Processing Letters“


Stundents prices: 

Cena dekana FIIT STU - DEAN'S AWARD IIT.SRC 2008

  Cena Werner von Siemens Excellence Award 2004 za diplomovú prácu

Date of last update
2024-02-08