dr Zbigniew Gomółka

 

image001.jpg [10.79 KB]

Contact:

room: 337 B1/A0

e-mail: gomulka.png [1.42 KB]

tel: (17) 851 87 55

address: ul. Pigonia 1, 35-310 Rzeszów

Workplace:

  • Department of Computer Science, College of Natural Sciences, University of Rzeszów

Scientific and research activity:

  • artificial intelligence, neural networks with derivatives of fractional order,
  • computer graphics and digital image processing,
  • 3D scenery restitution with coherent and textured light,
  • eytracking methods,
  • biometric identity identification algorithms,
  • ALMM technology in optimization of discrete production processes.

Publications

The current list of publications is available on the websites:ORCID, Scopus and PBN.

(selectedpublications)

  1. Gomolka, Z., Kordos, D., Zeslawska, E.;The application of flexible areas of interest to pilot mobile eye tracking (2020) Sensors (Switzerland), 20 (4), art. no. 986, DOI: 10.3390/s20040986.
  2. Gomolka, Z., Twarog, B., Zeslawska, E., Kordos, D.;Registration and Analysis of a Pilot’s Attention Using a Mobile Eyetracking System (2020) Advances in Intelligent Systems and Computing, 987, pp. 215-224. DOI: 10.1007/978-3-030-19501-4_21
  3. Dudek-Dyduch, E., Gomolka, Z., Twarog, B., Zeslawska, E.; The Concept of the ALMM Solver Knowledge Base Retrieval Using Protégé Environment (2020) Advances in Intelligent Systems and Computing, 987, pp. 177-185. DOI: 10.1007/978-3-030-19501-4_17
  4. Krutys, P., Gomolka, Z., Twarog, B., Zeslawska, E.; Synchronization of the vector state estimation methods with unmeasurable coordinates for intelligent water quality monitoring systems in the river (2019) Journal of Hydrology, 572, pp. 352-363. DOI: 10.1016/j.jhydrol.2019.02.038
  5. Gomolka, Z.; Neurons’ transfer function modeling with the use of fractional derivative (2019) Advances in Intelligent Systems and Computing, 761, pp. 218-227. DOI: 10.1007/978-3-319-91446-6_21
  6. Gomolka, Z., Twarog, B., Zeslawska, E.; The implementation of an intelligent algorithm hybrid biometric identification for the exemplary hardware platforms (2019) Advances in Intelligent Systems and Computing, 761, pp. 228-237. DOI: 10.1007/978-3-319-91446-6_22
  7. Kozlov, O., Kondratenko, G., Gomolka, Z., Kondratenko, Y.; Synthesis and optimization of green fuzzy controllers for the reactors of the specialized pyrolysis plants (2019) Studies in Systems, Decision and Control, 171, pp. 373-396. DOI: 10.1007/978-3-030-00253-4_16
  8. Twaróg, B., Gomółka, Z., Żesławska, E.; Time analysis of data exchange in distributed control systems based on wireless network model (2018) Lecture Notes in Electrical Engineering, 452, pp. 333-342. DOI: 10.1007/978-3-319-63949-9_21
  9. Twaróg, B., Gomółka, Z., Żesławska, E., Lewicki, A.; Non-invasive thermal methods for the research and diagnosis of electromechanical objects (2018) Lecture Notes in Electrical Engineering, 452, pp. 343-354. DOI: 10.1007/978-3-319-63949-9_22
  10. Gomolka, Z., Twarog, B., Zeslawska, E., Lewicki, A., Kwater, T.; Using artificial neural networks to solve the problem represented by BOD and DO indicators (2017) Water (Switzerland), 10 (1), art. no. 4, DOI: 10.3390/w10010004
  11. Gomolka, Z., Twarog, B., Zeslawska, E.; Cognitive investigation on pilot attention during take-offs and landings using flight simulator (2017) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, pp. 432-443. DOI: 10.1007/978-3-319-59060-8_39
  12. Gomolka, Z., Dudek-Dyduch, E., Kondratenko, Y.P.; From homogeneous network to neural nets with fractional derivative mechanism (2017) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, pp. 52-63. DOI: 10.1007/978-3-319-59063-9_5
  13. Gomółka, Z., Twaróg, B., Krutys, P.; Predictionmechanism for the face trackingalgorithm [Algorytm śledzenia twarzy z wykorzystaniem mechanizmu predykcji] (2013) Przeglad Elektrotechniczny, 89 (7), pp. 202-205.
  14. Kwiatkowski, B., Pekala, R., Gomółka, Z.; Mathematical model describing the influence of power-drivenstreamsemerging in the spacesbetweencontacts on the disintegration of electromagnetic field [Zastosowanie metod numerycznych do opisu rozkładu pola elektromagnetycznego w wyłącznikowych komorach próżniowych] (2013) Przeglad Elektrotechniczny, 89 (8), pp. 191-194.
  15. Gomolka, Z., Twarog, B., Bartman, J.; Improvement of image processing by using homogeneous neural networks with fractional derivatives theorem (2011) Discrete and Continuous Dynamical Systems- Series A, (SUPPL.), pp. 505-514.
  16. Gomółka, Z., Kwiatkowski, B., Pekala, R.; Noninvasive diagnosis of magnetising coil using artificial neural networks [Bezinwazyjnadiagnostykauzwojeńmagnesującychprzyużyciusztucznychsiecineuronowych] (2011) PrzegladElektrotechniczny, 87 (8), pp. 66-69.
  17. Twarog, B., Gomolka, Z.; The neural network as the inductive engines states analyser (2009) 4th International Conference on Electrical and Control Technologies, ECT 2009, pp. 211-214.
  18. Gomolka, Z., Lewandowski, T.; The biometric signals processing (2007) Advances in Soft Computing, 45, pp. 637-644. DOI: 10.1007/978-3-540-75175-5_80
  19. Twarog, B., Pekala, R., Bartman, J., Gomolka, Z.; The changes of air gap in inductive engines as vibration indicator aided by mathematical model and artificial neural network (2007) Discrete and Continuous Dynamical Systems- Series A, (SUPPL.), pp. 1005-1012.