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  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 – 17 (researchers - 8)
D. Sc. – 2
Ph. D. – 9

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.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., Okun D.B., Fedorishchev L.A., Kovalev R.I. 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., 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.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., Dudko O., Imshinetskiy I., Timchenko V. 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.
  • Gribova V., Shalfeeva E. The Model of Knowledge Base Quality Control with Assessment // IEEE Xplory. 2020. Pp. 0872-0877. DOI: 10.1109/SIBIRCON48586.2019.8958297. https://ieeexplore.ieee.org/document/8958297.
  • Velichko A.S., Gribova V.V., Fedorishchev L.A. Cloud Service for Interactive Simulation of Interregional Trade Flows // Automatic Control and Computer Science. 2019. Vol. 53, No. 7, P.811–820. https://doi.org/10.3103/S0146411619070289.
  • Gribova V., Shalfeeva E., Petryaeva M. Cloud Infrastructure for Creation of Interpretable Diagnostic Knowledge Bases of Diseases Regardless their Etiology // Atlantis Highlights in Computer Sciences. 2019. Vol. 3. Р. 79-82.
  • Gribova V., Moskalenko Ph., Petryaeva M., Okun D. Cloud environment for development and use of software systems for clinical medicine and education // Advances in Intelligent Systems Research. 2019. Vol. 166. Pp. 225-229. ISSN 1951-6851. DOI https://doi.org/10.2991/itids-19.2019.40.