modeling of complex systems

nanotechnology

During his scientific activity he published more than 110 scientific papers, including 47 articles, a monograph, a patent of Ukraine for a utility model and more than 60 abstracts at international scientific conferences. In the publications included in the scientific-metric databases Web of Science, Scopus – 23 publications.

• Decision theory (126 Information systems and technologies)
• Pattern recognition (126 Information systems and technologies)
• Professional Python (126 Information systems and technologies)

1. Peculiarities of incommensurate modulation behavior during superstructure creation in case of potential symmetry n = 4 / S. Sveleba, I. Katerynchuk, I. Kuno, I. Karpa, O. Semotiuk // Mol. Cryst. Liq. Cryst. – 2023. – Vol. 752, No. 1. – P. 149-161. – DOI: 10.1080/15421406.2022.2091282.
2. Transition from order to chaos of an incommensurable superstructure described by the Lifshitz invariant at N = 5 / KI. Kuno, S. Sveleba. I. Katerynchuk, O. Semotyuk, Ya. Shmygelsky, V. Kuno  // Appl. Nanosci. – 2023. – DOI: 10.1007/s13204-023-02893-4.
3. Refractive index and optical dielectric function of CdTe0.9Se0.1 thin film produced by quasi-closed sublimation / A. Kashuba, H. Ilchuk, I. Semkiv, I. Kuno, N. Pokladok, N. Ukrainets // Funct. Mater. – 2023. – Vol. 30, No 3. – P. 332-337. – DOI: doi.org/10.15407/fm30.03.332.
4.  The Influence of the Input Array on the Learning Error of a Multilayer Neural Network / S. Sveleba, I. Katerynchuk, I. Kunyo, N. Sveleba, O. Semotіuk, V. Kotsun // 2023 IEEE 13th International Conference on Electronics and Information Technologies (ELIT) : Conference Proceedings. – 2023. – Lviv, Ukraine, September 26-28, 2023. – P. 47-50.
5. The Influence of Sampling Parameters on the Learning Error of a Multilayer Neural Network / S. Sveleba, I. Katerynchuk, I. Kunyo, N. Sveleba,  S. Velhosh, V. Kotsun // 2023 IEEE 13th International Conference on Electronics and Information Technologies (ELIT) : Conference Proceedings. – 2023. – Lviv, Ukraine, September 26-28, 2023. – P. 51-54.
6.  Dynamics of the Learning Process of a Multilayer Neural Network when using the AdaDelta Optimization Method / S. Sveleba, I. Katerynchuk, I. Kunyo, V. Brygilevych, V. Kotsun, Yu. Sidelnyk // 2023 24th International Conference on Computational Problems of Electrical Engineering (CPEE). – 2023. – September 10-13, 2023. – 23905159 – DOI: 10.1109/CPEE59623.2023.10285140.
7.  Алгоритм оптимізації AMSGrad і хаос в багатошарових нейронних мережах із стохастичним градієнтним спуском / С. Свелеба, І. Катеринчук, І. Куньо, О. Семотюк, Я. Шмигельський, С. Вельгош, А. Копач, В. Куньо // Електроніка та інформаційні технології. – 2023. – Вип. 21. – С. 64-80. – DOI: https://doi.org/10.30970/eli.21.7.
8. Свелеба С. Аналіз функції похибки за умови застосування алгоритму оптимізації AMSGrad / С. Свелеба, І. Катеринчук, І. Куньо, О. Семотюк, Я. Шмигельський, С. Вельгош, А. Копач, В. Стахура // Електроніка та інформаційні технології. – 2023. – Вип. 23. – С. 59-69. – DOI: https://doi.org/10.30970/eli.23.6
10. Gradient Methods for Teaching a Multilayer Neural Network to Recognize Printed Digits / S. Sveleba, I. Katerynchuk, I. Kunyo, O. Semotyjuk, N. Sveleba, M. Ozhha // 12th International Conference on Advanced Computer Information Technologies (ACIT). – 26-28 September 2022. – Ruzomberok, Slovakia. DOI: 10.1109/ACIT54803.2022.9913121
11. Convolutional Neural Networks – Deterministic Systems / Sveleba,V. Brygilevych, I. Kuno, I. Katerynchuk, O. Semotyjuk, Y. Shmyhelskyy // 23rd International Conference on Computational Problems of Electrical Engineering (CPEE) 2022. – 11-14 September 2022. – Zuberec, Slovakia. DOI: 10.1109/CPEE56060.2022.9919672
12. Peculiarities of incommensurate modulation behavior during superstructure creation in case of potential symmetry n = 4 / S. Sveleba, I. Katerynchuk, I. Kuno, I. Karpa, O. Semotiuk // Molecular Crystals and Liquid Crystals. – 2022. https://doi.org/10.1080/15421406.2022.2091282.
13. SPECIFICS OF THE LEARNING ERROR DEPENDENCE OF MULTILAYERED NEURAL NETWORKS FROM THE ACTIVATION FUNCTION DURING THE PROCESS OF PRINTED DIGITS IDENTIFICATION // Sveleba S., Katerynchuk I., Kuno I., Semotyuk O., Shmygelsky Ja., Sveleba N. // Electronics and Information Technologies. 2022. Issue 17. P. 36–53 Режим доступу
14. The Role of Sample Size in Multilayer Neural Networks // Sveleba S., Katerynchuk I., Kuno I., Semotyuk O., Sveleba N. // Proceedings – 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET 2022 Pages 767 – 770 (2022 ) 10.1109/TCSET55632.2022.9767025
15. Multilayer neural networks – as determined systems //Sveleba S., Brygilevych V., Katerynchuk I., Kuno I., Karpa I., Shmygelsky J., Semotyuk O., Sveleba N.//Computational Problems of Electrical Engineering Journal, vol.11, No 2 pp. 26 – 31 (2021) Режим доступу
16. Хаотичні стани багатошарової нейронної мережі // С. Свелеба,  І. Катеринчук, І. Куньо, І. Карпа, О. Семотюк, Я. Шмигельський, Н. Свелеба, В. Куньо// Електроніка та інформаційні технології, Вип. 16, ст. 20-35 (2021) https://doi.org/10.30970/eli.16.1
17. Branching diagrams for a dimensional incommensurate under different symmetry of thermodynamic potential //Sveleba S.A., Katerynchuk I.M., Kuno I.M., Karpa I.V., Velgosh A.S., Shmygelsky J.A., SemotyukO.V.Kuno .V.M. 9th International Conference “Nanotechnologies and Nanomaterials” NANO-2021 , 25 – 27 of August 2021, Lviv, P.451 Режим доступу
18. Analysis of mechanisms transition from order to chaos of superstructure described by the invariant of Lifshits with N=4 // Sveleba S.A., Katerynchuk I.M., Kuno I.M., Karpa I.V., Velgosh A.S., Shmygelsky J.A., Semotyuk O.V. Kuno V.M. 9th International Conference “Nanotechnologies and Nanomaterials” NANO-2021 , 25 – 27 of August 2021, Lviv, P.450 Режим доступу
19. The dependence of the fourier spectrum of oscillations of the amplitude function of the incommensurate superstructure on the magnitude of the anisotropic interaction interacting with dzialoszynski invariant / S . Sveleba, I. Katerynchuk, I. Kuno, I. Karpa, O. Semotyuk //Journal of Physical Studies 24(4), Article 4603 [8 pages] (2020) Режим доступу
20.  Calculation of Fourier Spectra of Amplitude Function of Incommensurate Superstructure Described by Two Components Parameter of Order (N=4) // Serhiy Sveleba, Ivan Karpa, Ivan Katerynchuk, OstapSemotyjuk, Ivan Kuno// 2021 IEEE XIIth International Conference on Electronics and Information Technologies (ELIT) P. 198-202. Режим доступу
21. Calculation of the phase state of the [N(CH₃)₄]₂CuCl₄ crystals//Sergii Sveleba, Ivan Katerynchuk, Ivan Kuno, Ivan Karpa, Ostap Semotiuk, Volodymyr Brygilevych / Computational problems of electrical engineerin/ Vol. 10, No. 2, 2020 P.28-32 Режим доступу
22. Sveleba, S., Katerynchuk, I., Kunyo, I., Shmygelsky, Y., & Karpa, I. (2019). The lyapunov’s exponents variation on system with incommensurate superstructure under surface energy field. Paper presented at the 2019 11th International Scientific and Practical Conference on Electronics and Information Technologies, ELIT 2019 – Proceedings, 113-116. режим доступу
23. Sveleba, S., Kunyo, I., Sveleba, N., Karpa, I., & Katerynchuk, I. (2019). The expert system ‘pharmacy’ for determination of availability and conditions of storage of medicinal products. Paper presented at the 2019 11th International Scientific and Practical Conference on Electronics and Information Technologies, ELIT 2019 – Proceedings, 63-66. Режим доступу
24. Sveleba, S., Katerynchuk, I., Kunyo, I., & Karpa, I. (2019). The modeling of the lyapunov’s exponents for incommensurate superstructures, which is a spontaneous deformation as a parameter of order. Paper presented at the 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering, UKRCON 2019 – Proceedings, 1139-1142. Режим доступу
25. Sveleba, S., Katerynchuk, I., Karpa, I., Kunyo, I., Ugryn, S., & Ugryn, V. (2019). The real time face recognition. Paper presented at the 2019 3rd International Conference on Advanced Information and Communications Technologies, AICT 2019 – Proceedings, 294-297. режим доступу
26. Kuno, I. M., Sveleba, S. A., Karpa, I. V., & Katerynchuk, I. M. (2018). Inhomogeneous states of thin-layer crystals with incommensurate superstructure.Journal of Nano- and Electronic Physics, 10(2) doi:10.21272/jnep.10(2).02026
27. Kunyo, I. M., Kashuba, A. I., Karpa, I. V., Stakhura, V. B., Sveleba, S. A., Katerynchuk, I. M., . . . Kovalenko, M. V. (2018). The band energy structure of (N(CH3)4)2ZnCl4 crystals.Journal of Physical Studies, 22(3), 3301-1-3301-5. doi:10.30970/jps.22.3301
28. С.Свелеба, І. Катеринчук, І. Куньо, З Любунь. Створення багатовимірного OLAP-куба послуг готельно-туристичного комплексу Прикарпаття. Електроніка та інформаційні технології. – 2017.– Вип.7 . – С. 72–79. Режим доступу

Date of birth: March 4, 1983

Education: higher (2000–2005, Ivan Franko National University of Lviv, Faculty of Electronics)

Postgraduate Studies: 2005–2008, specialty 01.04.10 – Physics of Semiconductors and Dielectrics (Postgraduate Student, Department of Nonlinear Optics, Ivan Franko National University of Lviv)

dissertation topic: Dynamics of modulated structure in dielectric crystals N(CH₃)₄]₂MeCl₄ (Me=Cu; Zn; Mn), Cs₂HgCl₄, Cs₂HgBr₄ i Cs₂CdBr₄, in conditions of strong pinning

where the defense took place: BI Verkin Institute of Physics and Technology of Low Temperatures, National Academy of Sciences of Ukraine

year of protection: 2009

Project manager:

Topic СО-66Нр “Micro- and nanoscale ferroelectric crystals for multifunctional electronics”, scientific work of young scientists, implementation period – 10.2017 – 09.2020

– Executant:

Topic НТ-44Нр “New nanomaterials based on ZnO for optoelectronic and sensor devices”, scientific work of young scientists, the period of implementation 08.2016 – 07.07.2018

Grant ПН-010115 “Basic Research in the Field of Natural Sciences”, grantor Company “Materials Phase Data System” (Switzerland), implementation period 2015 – 2016

Grant DAAD DIES “Partnership of Universities of Ukraine and Germany on technology transfer”, grantor German Academic Exchange Service DAAD (Germany), implementation period 2019 – 2022

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