English proficiency:
Research projects:
Current research grants:
— 2024-present. Research project «Study of Approaches to Creating Intelligent Multi-Agent Systems for Predictive and Prescriptive Analytics in Industry» (Ministry of Science and Higher Education of the Russian Federation, State Contract No. 075−03−2024−004, Subject Code FSEG-2024−0004, Registration Number 124 062 900 023−5).
— 2025-present. Research project «Application of a Multi-Agent Approach to Scheduling in Production Systems Taking into Account the Inconsistency of Agent Objective Functions» (Russian Science Foundation, Agreement No. 25−21−322 dated December 28, 2024, Registration Number 125 021 702 358−4).
— 2025-present. The «Multi-Agent Decision Support Systems in Industry and Construction» project (Ministry of Science and Higher Education, Agreement No. 075−15−2025−210 dated April 4, 2025, on the provision of federal budget grants in the form of a subsidy for the implementation of the «Priority 2030» strategic academic leadership program).
Current applied projects commissioned by companies (company names protected by NDA):
— 2025-present: R&D «Evolutionary Refinement of an Ensemble of Geological and Hydrodynamic Models (Evo Modeling)» (oil and gas industry).
— 2025-present: R&D «Development of Methodologies and Algorithms for Merging Digital Twin Ontologies» (oil and gas industry).Research topics:
1. Development of models and methods for intelligent decision support for managing complex organizational systems.
2. Development of hybrid decision support tools based on the integration of simulation modeling and artificial intelligence tools.
3. Development of methodological foundations for optimizing distributed computing models of oil and gas production fields using artificial intelligence tools.
4. Development of methodological foundations for the validation and verification of distributed computing models.
5. Development of methodological and toolkit tools for modeling complex organizational systems using a multi-agent approach.
6. Development of methodological and toolkit tools for assessing the sustainability of management scenarios for complex organizational systems.Field of study:
Research interests:
Research highlights:
20 results of intellectual activity: computer programs, databases.
Specific requirement:
— Knowledge of the fundamentals of systems analysis and cybernetics.
— Knowledge of mathematical analysis and applied mathematics.
— Skills in mathematical and computer modeling (native or in modeling environments).
— Knowledge of the fundamentals of probability theory and mathematical statistics.
— Skills in working with scientific information (searching for and analyzing sources).
— Scientific communication skills (preparing publications, presenting research results) — at least basic.Main publications:
1. Burlutskaya Z.V., Vatamaniuk I.V., Gintciak A.M., Ablavatskaia D.A., Pospelov K.N. On the Problem of Forming Sustainable Production Schedules in the Context of Conflicting Objective Functions of Management Agents // Sustainability. 2026. Vol. 18. P. 1655. doi.org/10.3390/su18031655.
2. 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. V. 17. P. 11 130. doi.org/10.3390/su172411130.
3. Sharko, P.A.; Burlutskaya, Z.V.; Zubkova, D.A.; Gintciak, A.M.; Pospelov, K.N. AI-Supported Decision Making in Multi-Agent Production Systems Using the Example of the Oil and Gas Industry. Appl. Sci. 2025, 15, 5366. doi.org/10.3390/app15105366.
4. Bolsunovskaya M., Gintciak A., Burlutskaya Z., Zubkova D., Petryaeva A., Fedyaevskaya D. Complex Method of the Consumer Value Estimation on the Way to Risk-Free and Sustainable Production // Sustainability. 2023. No. 15 (2). P. 1273. DOI:10.3390/su15021273.
5. Pospelov K.N., Burlutskaya Z.V., Gintciak A.M., Troshchenko K.D. Multiparametric optimization of complex system management scenarios based on simulation models // International Journal of Technology. 2023. V. 14 (8). P. 1748−1758. DOI: 10.14 716/ijtech.v14i8.6832. -
6. Bolsunovskaya M.V., Kudryavtseva T.Y., Rudskaya I.A., Gintciak A.M., Zhidkov D.O., Fedyaevskaya D.E., Burlutskaya Z.V. Digital Platform for Modeling the Development of Regional Innovation Systems of the Russian Federation // International Journal of Technology. 2023. V. 14 (8). P. 1779−1789. DOI: 10.14 716/ijtech.v14i8.6843. --- Scopus Q2 on SJR
7. Borovkov A.I., Nezamaeva O.B., Bolsunovskaya M.V., Elgina K.V., Gintciak A.M., Burlutskaya Zh.V. Decision-making support in the social sphere based on a digital model // Journal of Social Policy Studies. 2023. No. 21 (4). P. 677−692. DOI: 10.17 323/727−0634−2023−21−4-677−692.
8. Gintciak A., Bolsunovskaya M., Burlutskaya Z., Petryaeva A. High-level simulation model of tourism industry dynamics // Business Informatics. 2022. No. 3 (16). P. 53−67. DOI: 10.17 323/2587−814X.2022.3.53.67.
9. Zubkova D., Rakova V., Burlutskaya Z., Gintciak A. Automatic Calibration of Sociotechnical Systems Simulation Models on The Example of The Infection Spread Model // International Journal of Technology. 2022. No. 13 (7). P. 1452−1462. DOI:10.14 716/ijtech.v13i7.6180.
10. High-level simulation model of tourism industry dynamics / A. M. Gintciak, M. V. Bolsunovskaya, Zh. V. Burlutskaya, A. A. Petryaeva // Business Informatics. — 2022. — Vol. 16, No. 3. — P. 53−67. — DOI 10.17 323/2587−814X.2022.3.53.67. — EDN WPJTCF.Olympiad Profiles:
- Computer & Data Science