Adaptive signal and image processing systems based on neural networks.

Author of more than 50 scientific papers.

• Adaptive information processing systems (122 Computer Science)
• Data Mining (CS)
• Algorithmization and Programming (122 Computer Science)
• Algorithms and data structures (121 SE HPC)
• Electrical Engineering and Electronics (122 Computer Science)

1. Zinovij Liubun. Neural-network-based Gesture Detection for Capacitive Sensing. Zinovij Liubun, Vasyl Mandziy, Oleksandr  Karpin, Vasyl Rabyk // Proceedings of 16th International Conference on” Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering”.-2022/ P. 362 – 365. DOI: 10.1109/TCSET55632.2022. 9767083
2. Liubun Z. Hover Signal-Profile Detection / Liubun, V. Mandziy, H. Klein, O. Karpin, V. Rabyk // Proceedings of the XV International Scientific and Technical Conference “Computer Science and Information Technologies” – 2020. P. 7 – 10. (Scopus)
3. Tsmots I. Method and Means of Symmetric Real-time Neural Network Data Encryption Ivan Tsmots / I. Tsmots, V. Rabyk, Lyubun, O. Skorokhoda // Proceedings of the XV International Scientific and Technical Conference “Computer Science and Information Technologies” – 2020. P. 47 – 51. (Scopus)
4. Liubun Z. Hover Signal-Profile Detection / Liubun, V. Mandziy, H. Klein, O. Karpin, V. Rabyk // Proceedings of the XV International Scientific and Technical Conference “Computer Science and Information Technologies” – 2020. P. 7 – 10. (Scopus)
5. А. Цемко, Я. Берко, В. Бігдай, З. Любунь . Використання бібліотеки програм TENSORFLOW для реалізації нейромереж на мікроконтролерах фірми INFINEON TECHNOLOGIES AG. // Електроніка та інформаційні технології. – 2020. – Випуск 14. – С. 64–72.
6. Bihday V. Recognition of Handwritten Images Using Multilayer Neural Networks /  Bihday, V. Brygilevych, Yu. Hychka, Z. Liubun, N. Pelypets, V. Rabyk // Proceedings        of the XI^th International Scientific and Practical Conference “Electronics and Information    Technologies” (ELIT – 2019), September 16 – 18, 2019, Lviv, Ukraine. – Lviv: 2019. P.             59 – 62. Doi: 10.1109/ELIT.2019.8893381.
7. Karpin O. Method of Neural Network Training with Integer Weights / O. Karpin,  Mandziy, Z. Liubun, V. Rabyk // Proceedings of the XI^th International Scientific and             Practical Conference “Electronics and Information Technologies” (ELIT – 2019),           September 16 – 18, 2019, Lviv, Ukraine. P. 168 – 172. doi: 10.1109/ELIT.2019.8893349.
8. Neural-network-based Gesture Detection for Capacitive Sensing
9. Neural Network Technology for Protecting Cryptographic Data
10. Correlation-based Contactless Hand-Gesture Detection for Capacitive Sensing
11. Method and means of symmetric real-time neural network data encryption
12. Hover Signal-Profile Detection
13. Recognition of Handwritten Images Using Multilayer Neural Networks
14. Method of Neural Network Training with Integer Weights
15. IMPLEMENTATION OF DIGITAL FILTERS USING NEURAL NETWORKS WHEN THE OBJECT MOVEMENT DYNAMICS ARE NOT KNOWN

(4.II.1957, Berezhany, Ternopil region) – radiophysicist, Candidate of Technical Sciences.

Dissertation topic: “The use of piecewise linear approximation of the characteristics of nonlinear elements in the calculation of electronic circuits” (1986), Associate Professor (2002).

Graduated from the Faculty of Physics of Lviv University (1979). From 1979-87 engineer, 1987-97 assistant professor, since 1997 associate professor of the Department of Radiophysics and Computer Technologies.

1. Liubun Z., Mochulskyi Y. Fundamentals of radio electronics Part 1. Laboratory workshop. – Lviv: Ivan Franko National University of Lviv Publishing Center, 2003. 32 p.
2. Fundamentals of neural network theory. Text of lectures. Liubun Z.M. Lviv: Ivan Franko National University of Lviv Publishing Center, 2007, 142 p.
3. Intelligent data analysis: methodical instructions for performing laboratory work / compiled by I.D. Karbovnyk, Z.M. Liubun, V.G. Rabyk – Lviv: Ivan Franko National University of Lviv Publishing Center, 2015. 70 p.

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