Фомін Олександр Олексійович

Доктор технічних наук, професор
fomin@op.edu.ua
+380487058394
ЄДЕБО ID: 
3906731
Наукометричні ідентифікатори
ORCID: 0000-0002-8816-0652
Web of Science ResearcherID: U-4829-2017
Індексація в наукометричних базах
Вища освіта 

Доктор наук - 05.13.06 Інформаційні технології

Кандидат наук - 05.13.06 Автоматизовані системи управління та прогресивні інформаційні технології

Магістр - 8.091401 Системи управління і автоматики

Вчений ступінь 

Доктор технічних наук

Кандидат технічних наук

Вчене звання 

Доцент

Професор

Основні наукові публікації 
Статті

Информационная технология диагностирования состояний электродвигателей на основе моделей Вольтерра / С. Н. Григоренко, С. В. Павленко, В. Д. Павленко, А. А. Фомин // Вост.-Европ. журн. передовых технологий. - 2014. - 4/11 ( 70 ). - С. 38-43.

Polozhaenko, S. A. A technique to solve the problem of parametric identification of mathematical models of anomalous fluids filtration processes in porous media / S. A. Polozhaenko, A. A. Fomin // Інформатика та мат. методи в моделюванні = Informatics and Mathematical Methods in Simulation. – Одеса, 2014. – Т. 4, № 3. – С. 219–224.

Филоненко, Е. М. Использование сверточных нейронных сетей для выделения информативных признаков влияющих на качество дистанционного обучения / Е. М. Филоненко, А. А. Фомин, А. Д. Рубан // Електротехн. та комп’ютер. системи. – 2018. – № 28 (104). – С. 268–274.

Identification of human eye-motor system base on Volterra model / V. Pavlenko, A. Fomin, A. Fedorova, M. Dombrovskyi // Вісн. Нац. техн. ун-ту "ХПІ". Серія Iнформатика i моделювання : зб. наук. пр. – Харків, 2016. – № 21. – С. 74–85.

Метод и информационная технология построения непараметрической динамической модели глазо-двигательного аппарата / А. А. Фомин, Масри Моханад, В. Д. Павленко, А. Н. Федорова // Вост.-Европ. журн. передовых технологий. – 2015. – 2/9 (74). – С. 64–69.

Fomin, O. Marketing processes modeling using integrated dynamic models / O. Fomin // Marketing and digital technologies. - 2018. - Vol. 2, N 1. - P. 74-82.

Fomin, O. Intelligent Technology of Nonlinear Dynamics Diagnostics using Volterra Kernels Moments / O. Fomin, Mohanad Masri, V. Pavlenko // International Journal of Mathematical Models and Methods in Applied Sciences. – 2016. – Vol. 10. – P. 158–165.

Fomin, O. O. Method for Construction the Diagnostic Features Space of Switched Reluctance Motors Based on Integral Dynamic Models / O. O. Fomin, O. D. Ruban, O. V. Rudkovskyi // Probleme energeticii regionale. - 2020. - N 4. - P. 35-44.

Control Optimization of the Swing Mechanism / E. Naidenko, O. Bondar, A. Boiko, O. Fomin, R. Turmanidze // Grabchenko’s International Conference on Advanced Manufacturing Processes (InterPartner 2021), 18 November 2021 : Advanced Manufacturing Processes III. - 2021. - P. 13-21.

Diagnostic features space construction using Volterra kernels wavelet transforms / A. Medvedev, O. Fomin, V. Pavlenko, V. Speranskyy // Technology and Applications (IDAACS’2017) : Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, Bucharest, Romania. 21-23 September 2017. - 2017. - Vol. 2. - P. 1077-1081. - [Scopus, Web of Science, IEEE Xplore]

Interpretation of Dynamic Models Based on Neural Networks in the Form of Integral-Power Series / O. Fomin, S. Polozhaenko, V. Krykun, A. Orlov, D. Lys // Lecture Notes in Networks and Systems. – 2023. – Vol. 536 : International conference on Smart Technologies in Urban Engineering, Kharkiv, 9–11 june 2022. – P. 258–265.

Fomin. O. O. Assessment of the quality of neural network models based on a multifactorial information criterion / O. O. Fomin, V. A. Krykun // Herald of Advanced Information Technology = Вісн. сучас. інформ. технологій. – Оdesa, 2024. – Vol. 7, N 1. – Р. 13–23.

Fomin, O. O. Modeling nonlinear dynamic objects using pre-trained time delay neural networks / O. O. Fomin, A. A. Orlov // Аpplied Aspects of Information Technology = Прикладні аспекти інформ. технологій. – Оdesa, 2024. – Vol. 7, N 1. – P. 24–33.

Method of reference models for synthesis of intellectual systems of nonlinear dynamic objects identification / O. O. Fomin, V. O. Speranskyy, A. A. Orlov, O. V. Tataryn, D. V. Kushchevyi // Herald of Advanced Information Technology = Вісн. сучас. інформ. технологій. – Оdesa, 2024. – Vol. 7, N 3. – Р. 262–274.

Fomin O., Polozhaenko S., Prokofiev A., Tataryn O., Savieliev A. Automated Synthesis of Neural Network Models of Nonlinear Dynamics Based on the “Factory” Design Pattern // Sensors, Devices and Systems. SDaS 2025, first online 01 april 2026. 2026. P. 384–392. [Lecture Notes in Electrical Engineering, vol. 1570. Springer, Cham].

Монографії

Fomin O., Polozhaenko S., Savieliev A., Tataryn O. Modeling of nonlinear dynamics using the support model method // Системи контролю інформації та інтелект. технології. Досягнення та застосування : монографія. Львів ; Торунь, 2025. Section 2. Intelligent systems and data analysis. С. 138-152. Текст англ.

Конференції

Fomin, O. Technology of intelligent diagnostics based on Volterra kernels moments / О. Fomin, A. Medvedev, V. Pavlenko // IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Warsaw, Poland, 24–26 Sept. 2015. – 2015. – Р. 796–801.

Fomin, O. Construction of diagnostic features space using Volterra kernels moments / O. Fomin, V. Pavlenko // 20th International Conference on Methods and Models in Automation and Robotics (MMAR), Miedzyzdroje, Poland, 24–27 Aug. 2015. – 2015. – Р. 1022–1027.

Pavlenko, V. Technology for data acquisition in diagnosis processes by means of the identification using Volterra models / V. Pavlenko, O. Fomin, V. Ilyin // IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Rende, Italy, 21–23 Sept. 2009. – 2009. – Р. 327–332.

Influence of horizontal inertial loads on the operation of overhead crane girders / A. Tkachev, A. Tkachev, O. Fomin, O. Bondar, E. Naidenko // Advances in Design, Simulation and Manufacturing V : proceedings of the 5th International conference on design, simulation, manufacturing : the innovation exchange, DSMIE-2022, Poznan, Poland, June 7–10, 2022, – 2022. – Vol. 2 : Mechanical and chemical engineering. – P 47–54.

Interpretation Method for Dynamic States Neural Network Models / S. Polozhaenko, O. Fomin, A. Orlov, V. Krykun, D. Lys // EEE 3rd International Conference on System Analysis and Intelligent Computing, SAIC 2022 : рroceedings, Odesa, Ukraine, оctober 4–6 2022. – 2022. – P. 1–5.

A Combined Approach for Determining Tool Cutting Part States Using Machine Learning Models / O. Derevianchenko, O. Fomin, N. Volkova, O. Tataryn, I. Karabegovich // Advanced Manufacturing Processes (InterPartner-2024) : selected papers from the 6th Grabchenko’s International conference, Odesa, Ukraine, september 10–13 2024. – 2024. – P. 154–165. – [Lecture Notes in Mechanical Engineering (LNME)].

Improving measurements accuracy in weight-in-motion systems using dynamic neural networks / O. Fomin, S. Polozhaenko, P. Bidyuk, O. Tataryn, A. Prokofiev // ICST-2024: Information Control Systems & Technologies, Odesa, Ukraine, september 23–25 2024. – 2024. – P. 483–493. – [CEUR – Workshop Proceedings, Vl. 3790].

Improvement of the Quality of Wear Zones for Cutting Tools Textures Classes Recognition Based on Convolutional Models / O. Fomin, O. Derevianchenko, N. Volkova, N. Skrypnyk // Advances in Design, Simulation and Manufacturing VI : proceedings of the 6th International conference, High Tatras, Slovak Republic, june 6–9 2023. – 2023. – Vol. 1 : Manufacturing Engineering. – P. 216–225. - [Lecture Notes in Mechanical Engineering (LNME)].

Derevianchenko, О. Improvement of the Quality for Cutting Tool Monitoring by Optimizing the Features of the State Space / О. Derevianchenko, О. Fomin, N. Skrypnyk // Selected Papers from the 2nd Grabchenko’s International Conference on Advanced Manufacturing Processes (InterPartner-2021). - 2021. - P. 502-512. - [Advanced Manufacturing Processes II : Lecture Notes in Mechanical Engineering].

Use of Dynamic Neural Networks for Modeling Nonlinear Objects with Significant Nonlinearity / O. Fomin, S. Polozhaenko, V. Krykun, A. Orlov, A. Prokofiev // Communication Papers of the 18th Conference on Computer Science and Intelligence Systems. – 2023. – Р. 97–102. – [Annals of Computer Science and Information Systems, Vol. 37].