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  4. Department of Information Technologies and Mathematical Modeling
  5. Laboratory of Intelligent Systems named after A. S. Kleshchev

Laboratory of Intelligent Systems named after A. S. Kleshchev

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Head –  Corresponding Member of RAS, D. Sc. (Engineering Sciences) Valeriya Gribova

Staff:

Total – 16 (researchers - 8)
D. Sc. – 2
Ph. D. – 8

E-mail: it@dvo.ru

The history of the Laboratory started with Artificial Intelligence System Laboratory founded in 1974 by Prof. F. Staros. For more than 30 years the Laboratory was headed by Prof. Alexander S. Kleschev, Honorary Scientist of the Russian Federation.


Areas of research

  • Knowledge bases and ontologies
  • Applied intelligent systems
  • Software development tools based on methods of artificial intelligence
  • Solving complex problems using massively parallel computing systems

Principal results

  • Platform which supports unified technological principles for design, implementation and use of applied and instrumental intelligent services
  • Models of ontologies and knowledge bases for a number of domains (medicine, laser-based additive manufacturing, mathematics, programming technology, information security, technical diagnostics, agriculture, etc.)
  • Software tools for development of interactive virtual environments
  • Software tools for multi-regional models of freight flows
  • Specialized shell for the creation of intelligent diagnostic medical systems
  • Portal of knowledge about technological operations of additive manufacturing of metal parts using laser technological equipment
  • Cloud service for collective interactive construction and verification of intuitive proofs of mathematical theorems

Key publications

  • Gribova V., Shalfeeva E. SMART Standards for Industry // Lecture Notes in Networks and Systems. 2024. Vol. 1209. Pp. 70-82. Springer, Cham. https://doi.org/10.1007/978-3-031-77688-5_8. 
  • Moskalenko Ph. M., Timchenko V. A. Development of Composite Intelligent Services Operating in a Heterogeneous Environment // Programmnaya Ingeneria. 2024. Vol. 15, no. 8. Pp. 411—424. (In Russian). DOI: 10.17587/prin.15.411-424.
  • Gribova V., Kharitonov D. Information and Computing Ecosystem’s Architecture for Monitoring and Forecasting Natural Disasters // Computers. 2024. Vol. 13, № 12. art. 334. https://doi.org/10.3390/computers13120334.
  • Gribova V.V., Kobrinskii B.A. Knowledge and Data in Artificial Intelligence Systems // Pattern Recognition and Image Analysis. 2024. Vol. 34, № 3. Pp. 429-433. DOI: 10.1134/S1054661824700160.
  • Gribova V.V., Shalfeyeva E.A. Ontological Patterns of Knowledge on the Diagnosis of Processes // Pattern Recognition and Image Analysis. 2024. Vol. 34, № 3. Pp. 456-463. DOI: 10.1134/S1054661824700202.
  • Moskalenko Ph.M. Implementation of Requests to Hierarchical Graph Knowledge and Databases on the Intelligent Applications, Control, and Platform As a Service // Pattern Recognition and Image Analysis. 2024. Vol. 34, № 3. Pp. 478-484. DOI: 10.1134/S1054661824700238.
  • Gribova V., Shalfeeva E. Cloud Technology, Infrastructure and Computing for Manufacturing Viable XAI Systems // 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), Novosibirsk, Russian Federation, 2024. Pp. 288-293. DOI: 10.1109/SIBIRCON63777.2024.10758468. 
  • Gribova V.V., Shestopalov E.Y., Lebedev S.V., et al. Optimizing performance of a multidisciplinary rehabilitation team in care delivery to stroke survivors using artificial intelligence methods // Social'nye aspekty zdorov'a naselenia [serial online]. 2024. 70(3):1. DOI: 10.21045/2071-5021-2024-70-3-1 (In Rus).
  • Gribova V.V., Kulchin Yu.N., Nikitin A.I., Timchenko V.A. An ensemble of ontological models for intelligent support of laser additive manufacturing processes // Ontology of designing. 2024; 14(2): 279-300. (In Russian). DOI:10.18287/2223-9537-2024-14-2-279-300.
  • Gribova V.V., Perevolotsky V.S. Knowledge Graph Formation Using LLM for Disease Treatment in Decision Support Systems // Programmnaya Ingeneria. 2024. Vol. 15, no. 6. Pp. 308—321. DOI: 10.17587/prin.15.308-321. (in Russian).
  • Borodulina E.A., Gribova V.V., Okun D.B., et al. A knowledge base generation for creation a medical decision support system for managing the treatment process //  Siberian Journal of Clinical and Experimental Medicine. 2024. Vol. 39, №2. Pp. 209–217. DOI: 10.29001/2073-8552-2024-39-2-209-217. (in Russian).
  • Gribova V.V., Moskalenko P.M., Timchenko V.A., Shalfeeva E.A. The IACPaaS Platform for Developing Systems Based on Ontologies: A Decade of Use // Scientific and Technical Information Processing. 2023. Vol. 50, No. 5. Pp. 406–413. DOI: 10.3103/S0147688223050064.
  • Moskalenko Ph.M., Timchenko V.A. Forming Knowledge Bases in Accordance with Ontological Agreements on an Intelligent Systems Development Platform // Pattern Recognition and Image Analysis. 2023. Vol. 33, No. 3. Pp. 432-445. DOI: 10.1134/S1054661823030331.
  • Gribova V.V., Strekalev V.O. Semantic Technologies for the Development of Immersive Virtual Environments with Biofeedback // Pattern Recognition and Image Analysis. 2023. Vol. 33, is. 3. Pp. 340-344. DOI: 10.1134/S1054661823030173. 
  • Gribova V.V., Kovalev R.I., Okun D.B. Intelligent System for Prescribing Personalized Treatment by Analogy // Pattern Recognition and Image Analysis. 2023. Vol. 33, No. 3. Pp. 334-339. DOI: 10.1134/S1054661823030161.
  • Gribova V.V., Shalfeeva E.A., Petryaeva M.V., et al. Cloud service for differential diagnosis and personalized treatment of inflammatory heart diseases // Program Systems: Theory and Applications. 2023. 14:4. Pp. 141–188. (In Russ., in Engl.). https://psta.psiras.ru/2023/4_141-188.
  • Kul’chin Y.N., Gribova V.V., Timchenko V.A. et al. Methodology for Designing a Laser-Based Additive Process for the Formation of a Lattice Periodic Structure on the Surface of an Aluminum Alloy Plate // Automation and Remote Control. 2022. Vol. 83, No. 1. Pp. 138–152. https://doi.org/10.1134/S0005117922010106.
  • Gribova V.V., Kul’chin Y.N., Petryaeva M.V., Okun D.B., Kovalev R.I., Shalfeeva E.A. An Intelligent System for Medical Decision Support in Differential Diagnosis and Treatment of COVID-19 // Herald of the Russian Academy of Sciences. 2022. Vol. 92. No. 4. Pp. 511-519. ISSN 1019-3316. DOI: 10.1134/S1019331622040128.
  • Gribova V.V., Strekalev V.O. Complex of ontologies for virtual simulators with biofeedback [In Russian]. Ontology of designing. 2022; 12(2): 172-185. DOI:10.18287/2223-9537-2022-12-2-172-185.
  • Gribova V.V., Parshkova S.V., Fedorishchev L.A. Ontologies for the development and generation of adaptive user interfaces for knowledge base editors // Ontology of design. 2022. Vol. 12, No. 2(44). Pp. 200-217. DOI 10.18287/2223-9537-2022-12-2-200-217. (In Rus).
  • Gribova V., Shalfeeva E. Ontology of anomalous processes diagnosis // International Journal of Intelligent Systems. 2021. Vol. 36. Is. 1. P. 291-312. https://doi.org/10.1002/int.22300. Q1
  • Gribova V., Moskalenko Ph., Shalfeeva E., Timchenko V. Control graph based problem solvers for knowledge based systems // IEEE Xplore. 2021. Pp. 1-6. ISBN:978-1-6654-3218-4 DOI: 10.1109/ITNT52450.2021.9649130 https://ieeexplore.ieee.org/document/9685030
  • Gribova V.V. Research  on  artificial  intelligence  in  the  Far  Eastern  Branch  of  the  Russian  Academy  of  Sciences // Vestnik of the Far East Branch of the Russian Academy of Sciences. 2021. No. 4. Pp. 119-128. https://doi.org/10.37102/0869-7698_2021_218_04_13. (In Russian).
  • Gribova V.V., Kovalev R.I., Okun D.B. A Spezialized Shell for Intelligent Systems of Prescribing Medication // Scientific and Technical Information Processing. 2021. Vol. 48, № 5. Pp. 1-11. ISSN 0147-6882.
  • Blagosklonov N., Gribova V., Kobrinskii B., Shalfeeva E. Knowledge-Based Diagnostic System With a Precedent Library // Lecture Notes in Computer Science. Vol. 12948. 2021. Pp. 289-302. https://doi.org/10.1007/978-3-030-86855-0_20.
  • Kulchin Yu., Gribova V., Yatsko D., et al. Cloud infrastructure for intelligent decision support in titanium carbide laser cladding // IEEE 15th International conference of Actual Problems of Electronic Instrument Engineering (APEIE). 2021. С. 716-721. https://doi.org/10.1109/APEIE52976.2021.9647510.