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Tushkanova Olga Nickolaevna

E-mail: tushkanova[AT]comsec[DOT]spb[DOT]ru


Patents and Programms

Programs and databases


  1. Olga Tushkanova, Andrey Chechulin Component for the classification of social network posts. Certificate No. 2020666209. Registered in the Computer Program Registry 07.12.2020.


Main publications



  1. Maxim Kolomeets, Olga Tushkanova, Dmitry Levshun, Andrey Chechulin. Camouflaged bot detection using the friend list // Proceedings - 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2021 Virtual, Valladolid, 1012 2021 pp. 253-259 DOI: 10.1109/PDP52278.2021.00048 eLIBRARY ID: 46047553 (Scopus).


  1. Lidia Vitkova, Igor Kotenko, Maxim Kolomeets, Olga Tushkanova, Andrey Chechulin. Hybrid Approach for Bots Detection in Social Networks Based on Topological, Textual and Statistical Features // 4nd International Scientific Conference Intelligent information technologies for industry (IITI19), December 2-7, 2019, Ostrava-Prague, Czech Republic // Advances in Intelligent Systems and Computing, Springer. 2020. vol.1156 AISC . P.412-421 (WoS, Scopus). DOI:10.1007/978-3-030-50097-9_42 https://www.elibrary.ru/item.asp?id=45439091
  2. Lidia Vitkova, Igor Saenko, Olga Tushkanova. An Approach to Creating an Intelligent System for Detecting and Countering Inappropriate Information on the Internet // 13th International Symposium on Intelligent Distributed Computing (IDC 2019), Saint-Petersburg, Russia, 7-9 October 2019. // Studies in Computational Intelligence 2020. Vol. 868 pp. 244-254. https://doi.org/10.1007/978-3-030-32258-8_29. ISSN 1860-949X. (Scopus, WoS).
  3. Kotenko Igor, Vitkova Lidiya, Saenko Igor, Tushkanova Olga, Branitskiy Alexander. The intelligent system for detection and counteraction of malicious and inappropriate information on the Internet // AI Communications. 2020. vol. 33 . 1. pp. 13-25. DOI: 10.3233/AIC-200647 (WoS, Scopus)
  4. Vladimir Gorodetsky, Olga Tushkanova. Semantic Technologies for Semantic Applications. Part 2. Models of Comparative Text Semantics // Published: 1 December 2020 by Allerton Press in Scientific and Technical Information Processing Scientific and Technical Information Processing Vol. 47, pp 365-373; doi:10.3103/s0147688220060027 (WoS, Scopus)
  5. Soboleva A., Tushkanova O. The Methodology of Extraction and Analysis of Event Log Social Graph // Conference of Open Innovations Association, FRUCT. 2020. 26. P. 415-422.
  6. I. B. Paraschuk, V. A. Desnitsky, O. N. Tushkanova Model of the digital content parental control system on the Internet // XVII St. Petersburg International Conference " Regional Informatics (RI-2020)". St. Petersburg, October 28-30, 2020, part 1., pp. 168-170 http://www.spoisu.ru/files/ri/ri2020/ri2020_materials_1.pdf eLIBRARY ID: 46544109 (in Russian).


  1. Gorodetsky V., Tushkanova O. Semantic Technologies for Semantic Applications. Part 1. Basic Components of Semantic Technologies // Scientific and Technical Information Processing, Vol..46 5, .306-313 2019. eLIBRARY ID: 43267255
  2. Olga Tushkanova, Vladimir Samoylov. Knowledge Net: Model and System for Accumulation, Representation, and Use of Knowledge //IFAC-PapersOnLine // 9th IFAC Conference on Manufacturing Modelling, Management and Control (MIM 2019), Berlin, Germany, August 28-30, 2019, . 1150-1155. eLIBRARY ID: 43250613 DOI: 10.1016/j.ifacol.2019.11.351
  3. Vladimir Gorodetsky, Olga Tushkanova. Semantic technologies for semantic applications. Part 2. Models of comparative text semantics // Artificial Intelligence and Decision Making. 2019.No 1. C. 49-61. (VAK, RSCI, impact factor - 0.74). DOI 10.14357 / 20718594190105. eLIBRARY ID: 37179703 (in Russian).
  4. Dmitry Kudryavtsev, Alena Begler, Tatiana Gavrilova, Irina Leshcheva, Miroslav Kubelsky, Olga Tushkanova. Method for collaborative visual creation of a knowledge graph // Artificial Intelligence and Decision Making. 2019.No 1. S. 27-38. (VAK, RSCI, impact factor - 0.74). DOI 10.14357 / 20718594190103. eLIBRARY ID: 37179701 (in Russian).
  5. Olga Tushkanova, Vladimir Samoylov. Knowledge Net: model and system for accumulation, representation and use of knowledge and data. Ontology of designing. 2019; Vol. 9. 1 (31) P. 117-131. (VAK, RSCI). DOI: 10.18287/2223-9537-2019-9-1-117-131. eLIBRARY ID: 37627844 (in Russian).
  6. Igor Kotenko, Olga Tushkanova. A version of the system architecture for analyzing information objects on the Internet using parallel computing // VIII International Scientific-Technical and Scientific-Methodological Conference "Actual Problems of Information Telecommunications in Science and Education" (APINO 2019). 2019. vol. 1. pp. 577-580. eLIBRARY ID: 41383598 https://www.sut.ru/doci/nauka/1AEA/APINO/8-APINO%202019.%20.1.pdf (in Russian).
  7. Olga Tushkanova, Igor Saenko. The Technique of ensuring timeliness of multiclass classification of inappropriate information on the Internet using parallel computing // XI St. Petersburg Interregional Conference Information Security of Russian Regions, October 23-25, 2019, Russia, St. Petersburg. 2019. pp. 153-155. eLIBRARY ID: 45842703 http://www.spoisu.ru/files/ibrr/ibrr2019/ibrr2019_materials.pdf (in Russian).


RUSSIA, 199178, Saint-Petersburg, liniya 14-ya, 39, SPC RAS (metro station Vasileostrovskaya).
+7-(812)-328-7181, +7-(812)-328-2642, ivkote[AT]comsec[DOT]spb[DOT]ru

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