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Звание: Доцент
Degree: Кандидат педагогических наук
Institute of Computer Technologies and Information Security - Associate Professor
Research interests:
Computer Science and Information Systems
Among the latest works:
1. Ginis L.A. Modeling and the analysis of complex systems on the basis of fuzzy graphs models / A.V. Bozhenyuk, L.A. Ginis // Life Sciences Journal – 2014. – Vol. 11, N 7s – pp.187–191. ISSN: 1097-8135 (Scopus).
2. Ginis L.A. The use of fuzzy cognitive maps for the analysis of structure of social and economic system for the purpose of its sustainable development / L.A. Ginis // Mediterranean Journal of Social Sciences, 2015. – Vol 6, No 3, S5 – pp. 113-118; p-ISSN: 2039-9340 / e-ISSN: 2039-2117 (Scopus).
3. Ginis L.A. Cognitive and simulation modeling of development of regional economy system / L.A. Ginis, G.V. Gorelova, A.E. Kolodenkova // International Journal of Economics and Financial Issues. – 2016. – Vol 6, No 5S, pp. 97-103. ISSN: 2146-4138 (Scopus).
4. Ginis L.A. Analysis of problem oriented systems structure with uncertainty based on fuzzy graphs / A.V. Bozhenyuk, L.A. Ginis // Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016). – 2016. – Vol. 51 – pp. 542-545 (WoS).
5. L.A. Ginis. Modeling of Achievement of the Reference Situation in the Conditions of Uncertainty / L.A. Ginis, S. P. Vovk // Proceedings of 2016 13TH International Scientific-technical Conference on actual problems of electronic instrument engineering (APEIE-2016). In 12 Volumes. Vol. 1 Part 2. Novosibirsk. 2016. pp. 230-232. IEEE Catalog Number: CFP16471-PRT. ISBN: 978-5-7782-2992-5 (т. 1). (WoS)
6. Ginis, L.A. Modeling of Development Scenarios of Critically Important Objects for Support of Adoption of Scientifically Based Decisions / L.A. Ginis, A.E. Kolodenkova // ACSR - Advances in Computer Science Research (Proc. ser. of ITSMSSM 2017). – 2017. – Vol. 72 – pp.114-118 (WoS).
7. Ginis, L.A. Cognitive and Simulation Modeling of Socioeconomic Systems / L.A. Ginis, G.V. Gorelova, A.E. Kolodenkova // ACSR - Advances in Computer Science Research (Proc. ser. of ITSMSSM 2017). – 2017. – Vol. 72 – pp.50-54 (WoS).
8. Ginis, L.A. The development of geoinformation system elements for solving application tasks in an AutoCad Map 3D environment / L.A. Ginis, L.V. Gordienko // ACSR - Advances in Computer Science Research (Proc. ser. of ITSMSSM 2017). – 2017. – Vol. 72 – pp. 359-362 (WoS).
9. Ginis, L.A. The Development of Geographic Information System Model for Information Flows Monitoring of Complex Objects / L.V. Gordienko, S.V. Levoniuk // IEEE Conference 2017 Dynamics of Systems, Mechanisms and Machines (Omsk, 2017). 2017. pp.1–4 (WoS, Scopus).
10. Ginis, L.A. Optimum Nominal Method for the Best Scenario Choice / L.A. Ginis, A.E. Kolodenkova // Proceedings of 2018 14TH International Scientific-technical Conference on actual problems of electronic instrument engineering (APEIE-2018). In 8 Volumes. Vol. 1 Part 4. Novosibirsk. 2018. pp. 132-134. (IEEE)
11. Ginis, L.A. Expert Estimates Processing and Decision-Making Taking Into Account Non-factors / L.A. Ginis, L.V. Gordienko // Proceedings of 2018 14TH International Scientific-technical Conference on actual problems of electronic instrument engineering (APEIE-2018). In 8 Volumes. Vol. 1 Part 4. Novosibirsk. 2018. pp. 84-87. (IEEE)
12. Ginis, L.A. Decision-making under the conditions of fuzziness and multicriteria on the example of urban planning / L.A. Ginis, L.V. Gordienko, A.E. Kolodenkova // Materials Science Forum, – 2018 Vol. 931. – pp. 840-844 (Scopus)
13. Ginis, L.A. Aircraft & Space Interfaces Testing with National Instruments Equipment / L.A. Ginis, L.V. Gordienko, S.V. Levoniuk // Proceedings of 2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC 2018), Vladivostok, 2018. (IEEE, Scopus)
14. Ginis, L.A. Objects Selection and Recognition During Remote Sensing Images Digital Processing by Means of LabVIEW / S.V. Levoniuk, L.A. Ginis // IOP Conference Series: Materials Science and Engineering, ; 2019, Vol. 698 (Scopus) DOI: 10.1088/1757-899X/698/4/044015
15. Ginis, L.A. Acquisition and Reducing of Redundancy of Measuring Information on the basis of National Instruments Reconfigurable Input-output Modules in Technical System Diagnosis / L.A. Ginis, L.V. Gordienko, S.V. Levoniuk // Proceedings of International Russian Automation Conference (RusAutoCon-2019), 8-14 Sept. 2019, Sochi, Russia (IEEE, Scopus) DOI: 10.1109/RUSAUTOCON.2019.8867805
16. Ginis L.A. Methodological basis of simulation and cognitive modelling technology of socio-economic systems / L.A. Ginis // Journal of Physics: Conference Series, ; 2020, Vol. 1661, doi:10.1088/1742-6596/1661/1/012035 (Scopus, WoS)
17. Ginis L.A. Geoinformation Project as Complex Object Forecasting and Decision Making Tool in Intelligent Information and Management Systems / L.A. Ginis, L.V. Gordienko // Proceedings of International Russian Automation Conference (RusAutoCon-2020), 6-12 Sept. 2020, Sochi, Russia (IEEE, Scopus)
18. Ginis L.A., Gordienko L.V., Kudryakhin V.V. Development of a Geoinformation Project as a Tool for Support Decision Making in the Subject Area // Proc. of 2021 International Russian Automation Conference (RusAutoCon 2021), pp. 579-584 DOI: 10.1109/RusAutoCon52004.2021.9537509 (IEEE, Scopus
Research projects:
Project «Methods and means of decision making on base of dynamic geographic information models» (Project part, State task 2.918.2017/4.6), Ministry of Education and Science of the Russian Federation;
Project N 19-01-00412А "Development of models and algorithms of cognitive and neuroevolutionary modeling to support decision - making in intelligent information management systems", Russian Foundation for Basic Research.
Project N 19-07-00570А "Bioinspired models of problem-oriented systems and their application methods for classification, clustering, recognition and optimization problems, including big data", Russian Foundation for Basic Research.
Project N 16-07-00335 «Hierarchical organization of neuroevolutionary calculations», Russian Foundation for Basic Research.
Project N 16-07-00336 «The development of theories and the application of metaheuristic models, methods and algorithms for the computational tasks of acceptance of optimal solutions», Russian Foundation for Basic Research
Scientometric indicators:
Web of Science ResearcherID: J-8846-2012
Scopus Author ID: 56177449700
http://orcid.org/0000-0002-2623-9605
SPIN (elibrary.ru): 5664-4886, AuthorID: 297468
GoogleАкадемия https://scholar.google.ru/citations?user=TtVqcNoAAAAJ&hl=ru
h-index: (Scopus) =3
h-index: (elibrary.ru) =10
