Сафроненкова Ирина Борисовна

Степень: Кандидат технических наук

Кафедра вычислительной техники - Доцент

Научно-исследовательский институт робототехники и процессов управления - Старший научный сотрудник

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Персональная страница:

https://sfedu.ru/s7/person/ru/safronenkova

Персональная страница на английском:

https://sfedu.ru/s7/person/en/safronenkova

Область научных интересов: распределенные вычисления, онтологическое моделирование, когнитивное моделирование.

Основные публикации:

1. V. M. Kureychik and I. B. Safronenkova, "Ontology-based approach to design problem formalization," 2019 International Seminar on Electron Devices Design and Production (SED), Prague, Czech Republic, 2019, pp. 1-5, doi: 10.1109/SED.2019.8798464.

2. Klimenko, A., Safronenkova, I. (2019). An Ontology-Based Approach to the Workload Distribution Problem Solving in Fog-Computing Environment. In: Silhavy, R. (eds) Artificial Intelligence Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 985. Springer, Cham. https://doi.org/10.1007/978-3-030-19810-7_7

3. Kureychik V. M., Safronenkova I. B. Efficiency enhancement method for distributed CAD systems in fog-computing environments //Journal of Physics: Conference Series. – IOP Publishing, 2019. – Т. 1333. – №. 8. – С. 082006.

4. Klimenko A. B., Safronenkova I. B. The comparative estimation of workload relocation approaches in the fog-and edge-computing environments //Journal of Physics: Conference Series. – IOP Publishing, 2019. – Т. 1399. – №. 3. – С. 033036.

5. Ignatyev V. V. et al. Hybrid genetic‐paired‐permutation algorithm for improved VLSI placement //ETRI Journal. – 2021. – Т. 43. – №. 2. – С. 260-271.

6. Melnik, E., Klimenko, A., Safronenkova, I. (2020). An Estimation of Distributed Algorithms of the Fault-Tolerant Management in the Robot Groups. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2020. Lecture Notes in Computer Science(), vol 12336. Springer, Cham. https://doi.org/10.1007/978-3-030-60337-3_21

7. Gorelova, G.V., Melnik, E.V., Klimenko, A.B., Safronenkova, I.B. (2020). Cognitive Interaction of Robot Communities, Simulation Modeling. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Perspectives in Intelligent Systems. CoMeSySo 2020. Advances in Intelligent Systems and Computing, vol 1294. Springer, Cham. https://doi.org/10.1007/978-3-030-63322-6_44

8. Gorelova, G.V., Melnik, E.V., Klimenko, A.B., Safronenkova, I.B. (2020). Cognitive Interaction of Robot Communities, Simulation Modeling. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Perspectives in Intelligent Systems. CoMeSySo 2020. Advances in Intelligent Systems and Computing, vol 1294. Springer, Cham. https://doi.org/10.1007/978-3-030-63322-6_44

9. Korovin I. S. et al. An experience of the cognitive map-based classifier usage in astronaut's emotional state monitoring //Acta Astronautica. – 2021. – Т. 181. – С. 537-543.

10. Gorelova, G., Melnik, E., Safronenkova, I. (2021). The Problem Statement of Cognitive Modeling in Social Robotic Systems. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2021. Lecture Notes in Computer Science(), vol 12998. Springer, Cham. https://doi.org/10.1007/978-3-030-87725-5_6

11. Melnik, E., Safronenkova, I., Kapustyan, S. (2021). The Efficiency Improvement of Robots Group Operation by Means of Workload Relocation. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2021. Lecture Notes in Computer Science(), vol 12998. Springer, Cham. https://doi.org/10.1007/978-3-030-87725-5_11

12. Safronenkova, I.B., Melnik, Y.E. (2022). An Estimation of the Workload Relocation Techniques Application in Distributed CAD Systems Area. In: Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Fifth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’21). IITI 2021. Lecture Notes in Networks and Systems, vol 330. Springer, Cham. https://doi.org/10.1007/978-3-030-87178-9_56

13. Melnik, E.V., Safronenkova, I.B. (2023). An Ontological Model for Ensuring the Functioning of a Distributed Monitoring System with Mobile Components Based on a Distributed Ledger. In: Silhavy, R., Silhavy, P. (eds) Artificial Intelligence Application in Networks and Systems. CSOC 2023. Lecture Notes in Networks and Systems, vol 724. Springer, Cham. https://doi.org/10.1007/978-3-031-35314-7_31

14. E. Melnik and I. Safronenkova, "A Method Based on a Combination of Ontological Data Analysis and Cognitive Modeling Tools for Organizing the Computational Process in Peer-to-Peer Networks," 2024 International Russian Automation Conference (RusAutoCon), Sochi, Russian Federation, 2024, pp. 854-860, doi: 10.1109/RusAutoCon61949.2024.10694369.

15. Gudko, V., Tanwar, S., Minkina, T., … Sushkova, S. (2025). Analysis of drought dynamics using SPI and SARIMA models: A case study of the Rostov Region, Russia. Eurasian Journal of Soil Science, 14(3), 208-218. https://doi.org/10.18393/ejss.1682888

16. Melnik, E.V., Orda-Zhigulina, M.V., Safronenkova, I.B., Kapustyan, S.G., Rodina, A.A., Puha, I.S. (2025). Method for Integrating Intelligent Sensors into Distributed Monitoring Systems Using Distributed Ledger Technology. In: Silhavy, R., Silhavy, P. (eds) Research Perspectives on Software Engineering and Systems Design. CoMeSySo 2024. Lecture Notes in Networks and Systems, vol 1492. Springer, Cham. https://doi.org/10.1007/978-3-031-96775-7_43

17. Мельник Э. В., Сафроненкова И. Б., Таранов А. Ю. ОНТОЛОГИЧЕСКИЙ ПОДХОД К РЕШЕНИЮ ЗАДАЧИ ПЕРЕРАСПРЕДЕЛЕНИЯ ВЫЧИСЛИТЕЛЬНОЙ НАГРУЗКИ В РАСПРЕДЕЛЕННОЙ СИСТЕМЕ МОНИТОРИНГА С МОБИЛЬНЫМИ КОМПОНЕНТАМИ НА БАЗЕ РАСПРЕДЕЛЁННОГО РЕЕСТРА //Известия ЮФУ. Технические науки. – 2023. – №. 5.

18. Сафроненков А. П. Об использовании предметно-ориентированных онтологий для поддержки принятия решения в профессиональной деятельности преподавателя //ВЕСТНИК РГГУ. – 2023. – С. 8.

19. Voloshchuk, V.; Melnik, Y.; Safronenkova, I.; Lishchenko, E.; Kartashov, O.; Kozlovskiy, A. Hybrid Method of Organizing Information Search in Logistics Systems Based on Vector-Graph Structure and Large Language Models. Big Data Cogn. Comput. 2026, 10, 51. https://doi.org/10.3390/bdcc10020051