English proficiency:
Research projects:
Current Research Grants:
— 2024-present: Research project «Study of Approaches to the Development of Intelligent Multi-Agent Systems for Predictive and Prescriptive Analytics in Industry» (Ministry of Science and Higher Education of the Russian Federation, State Assignment No. 075−03−2024−004, project code FSEG-2024−0004, registration number 124 062 900 023−5).
— 2025-present: Project «Multi-Agent Decision Support Systems in Industry and Construction» (Ministry of Science and Higher Education, agreement No. 075−15−2025−210 dated
— 2025-present: Project «Development of Methodological Foundations and Tools for Hybrid Modeling Combining Machine Learning and Simulation Methods» (Ministry of Science and Higher Education, agreement No. 075−15−2025−210 dated
Applied Projects Commissioned by Companies (Company Names Protected by NDA):
— 2024-present: R&D project «Development of a Mathematical Model for Dynamic Simulation of Traffic Flows» (transport sector).
— 2024-present: R&D project «Development and Integration of a Comprehensive Digital Model of Airline X’s Operations into the Airline's Infrastructure» (air transport sector).Research topics:
1. Multi-agent modeling of resource allocation in complex organizational systems
2. Development of intelligent decision support systems for production system management
3. Methods and algorithms for intelligent management of enterprise logistics processes
4. Methods for synthesizing hybrid models for enterprise management
5. A digital platform for analyzing organizational system data using hybrid artificial intelligence
6. Development of methodological foundations for integrating simulation and optimization modeling in the study of organizational systems.
7. Development of methods and algorithms for multiparameter optimization of complex organizational systems with distributed decision centers.Field of study:
Research interests:
Research highlights:
Specific requirement:
— Basic programming skills (Python, R, or similar) or a willingness to learn them during research.
— Mathematical and computer modeling skills (native or in modeling environments).
— Basic knowledge of systems and mathematical analysis, and cybernetics.
— Skills in working with scientific information (searching for and analyzing sources).
— Scientific communication skills (preparing publications, presenting research results) — at least basic.Main publications:
Over the past 5 years — 46 publications, 8 of which are in the Scopus/Web of Science/RSCI databases.
The most significant:
1. Sharko P.A., Burlutskaya Z.V., Gintciak A.M., Beketov S.M., Lundaeva K.A. The Influence of Communication Strategies of Intelligent Agents in Production Systems on the Shift of Sustainable Solutions. Sustainability. 2025; 17(24):11 130. doi.org/10.3390/su172411130.
2. Beketov S.M., Dergachev M.V., Gintciak, A.M., Nigmatulin, A.D., Dybulin, V.M. Multi-objective optimization of labor allocation in surface field development projects. International Journal of Technology, 2026. 17 (3), 772−785.
3. Beketov S.M., Dergachev M.V., Gintciak A.M., Redko S.G. Team Formation in Software Projects: Multi-criteria Pareto Optimization. Programmnaya Ingeneria. 2025. Vol. 16, No. 2. P. 92−99. DOI 10.17 587/prin.16.92−99.
4. Beketov S.M., Pospelov K.N., Redko S.G. A human capital simulation model in innovation projects. Control Sciences. 2024. No. 3. P. 16−25. DOI 10.25 728/cs.2024.3.2.
5. Beketov S.M., Gintciak A.M., Dergachev M.V. Algorithm for estimating the convergence of stochastic Pareto optimization. Information technology and computing systems. 2024. № 4. С. 91−99. DOI 10.14 357/20718632240409.
6. Beketov S.M., Zubkova D.A., Gintciak A.M., Burlutskaya Z.V., Redko S.G. Modern optimization methods and their application features. Russian technological journal. 2025. Т. 13, № 4. С. 78−94. DOI 10.32 362/2500−316X-2025−13−4-78−94.Olympiad Profiles:
- Computer & Data Science