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Alexey Nikolaevich Samoylov 

+7(863) 218-40-00 ext. 30010

Head of the department

Institute of Computer Technologies and Information Security

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Degree: Candidate of Sciences

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Research interests:

The field of my reaserch interests are methods of constructing problem-oriented automated and information systems, computer software and automated systems, modern Internet technologies, computer vision, e-learning technologies.

List of publications:

1. A. Samoylov, The method of constructing the structures of configurable automated system for measuring volume of roundwood. Information and Communication Technology for Education Volume I, - 2014. Published by WIT Press Ashurst Lodge, Ashurst, Southampton, SO40 7AA, UK (Scopus);

2.  S. Kucherov, A. Samoylov, A. Grishchenko, Flexible database for configurable information systems: The relational approach. 8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014; Astana; Kazakhstan; 15 October 2014 through 17 October 2014; Category number CFP1456H-PRT; Code 112596 (Scopus);

3. Samoylov Alexey, Tselykh Alexey, Sergeev Nikolay, Kucherova Margarita  Review and analysis of means and methods for automatic data extraction from heterogeneous sources. Proceedings of the iv international research conference information technologies in science, management, Social sphere and medicine (ITSMSSM 2017). Tomsk, RUSSIA. ISSN: 2352-538X; ISBN: 978-94-6252-432-3  (Web of Science);

4. Sergeev N., Samoylov A., Kucherova M.  The approach for obtaining indirect characteristics of interactions between actors from open data of social networks. International Multidisciplinary Scientific Geo Conference Surveying Geology and Mining Ecology Management, SGEM Volume 18, Issue 2.1, 2018, Pages 773-780 18th International Multidisciplinary Scientific Geoconference, SGEM 2018; Albena; Bulgaria; 2 July 2018 - 8 July 2018 (Scopus);

5. Samoylov A., Sergeev N., Kucherova M., Denisov B.  Methodology of big data integration from a priori unknown heterogeneous data sources. ACM International Conference Proceeding Series 8 December 2018, Pages 131-135 2nd International Conference on Computer Science and Artificial Intelligence, CSAI 2018; Shenzhen; China; 8 December 2018 - 10 December 2018. DOI: 10.1145/3297156.3297249 (Scopus);

6. Potapov V., Gushanskiy S., Samoylov A., Polenov M.  The quantum computer model structure and estimation of the quantum algorithms complexity. Advances in Intelligent Systems and Computing, Volume 859, 2019, Pages 307-315. DOI: 10.1007/978-3-030-00211-4_27 (Scopus);

7. Samoylov A.,  Gushanskiy S.,  Korobeynikova N. Studying the Schrödinger Equation, Implementation of Qubits and Visualization of Matrices Using Matlab. Advances in Intelligent Systems and Computing Volume 984, 2019, Pages 275-282. 8th Computer Science On-line Conference, CSOC 2019; Prague, Czech Republic  24 April 2019 - 27 April 2019. DOI: 10.1007/978-3-030-19807-7_27 (Scopus);

8. Samoylov A., Borodyansky Y., Kostyuk A., Polovko I. Mobile-cloud data processing system on digital images. IEEE International Conference on Industrial Informatics (INDIN). Volume 2019-July, July 2019, Paper number 8972161, Pages 1674-1678 17th IEEE International Conference on Industrial Informatics, INDIN 2019; Helsinki-Espoo; Finland. DOI: 10.1109/INDIN41052.2019.8972161 (Scopus);

9. Samoylov A., Kostyuk A., Potapov V., Borodyansky Y.  The methods for processing and storage of data in global navigation satellite systems for the task of perimeter protection. E3S Web of Conferences. Volume 224, 23 December 2020. DOI:10.1051/e3sconf/202022402032 (Scopus);

10. Samoylov A., Sergeev N., Polovko I., Voloshin A.  The ontology-based methodology for determining the objects' geometric parameters from pre-processed digital images for applied photogrammetry. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM Volume 2020-August, Issue 2.1, 2020, Albena; Bulgaria. Pages 381-388. DOI: 10.5593/sgem2020/2.1/s07.049 (Scopus);

11. Sergeev N., Samoylov A., Gushansky S., Polovko I. The system of metrics for assessing and predicting the interaction of a social network users. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM Volume 2020-August, Issue 2.1, 2020, Albena; Bulgaria. Pages 389-394. DOI: 10.5593/sgem2020/2.1/s07.050 (Scopus).

12. Gushanskiy S., Potapov V., Samoylov A. Research of Quantum Neural Networks and Development of a Single-qubit Model of Neuron.  ACM International Conference Proceeding Series. p. 381-385, 25th Pan-Hellenic Conference on Informatics, PCI 2021. DOI 10.1145/3503823.3503893 (Scopus).

Research projects:

1. Development and research of constructing principles for models of actors and group of actors interaction on the basis of indirect characteristics (grant executor), 2018-2020.;

2. Research and development of quantum algorithms for image detection and recognition in the environment of the hardware-software modular simulator of quantum computers (grant executor), 2019-2021.;

3. Development of a method for photogrammetric measurement of geometric parameters of objects that are invariant to a photo (scientific grant supervising), 2019-2021.;

4. Development of specialized methods for constructing digital analysis systems and data processing algorithms for perimeter security tasks (grant executor), 2020-2022.


  • Operating systems
    This discipline is intended for students to acquire knowledge in the field of organization and construction, modes of operation and functions, subsystems and interfaces, conceptual frameworks, architecture and internal mechanisms of operating systems (OS), as well as skills and skills of effective OS usage in professional activities.
  • Methodology of scientific activity
    The discipline will allow students to form knowledge about the methodological problems of science and methods of scientific research, methods of organizing and conducting research activities; to form knowledge in the field of modern problems of informatics, the development of the information society and artificial intelligence; to form students' skills in using scientometric systems to identify current scientific trends, conducting analytical reviews using databases of scientific publications and other results of intellectual activity, preparing reports on the results of research and search activities.

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