Research work - Central Campus IUK
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Academic Departments Department of Computer Information Systems Research work

Research work

The department’s research work focuses on the following areas:

 “Using Neural Network Technologies to Create Intelligent Systems in Education and Medicine”

  • “Development and research of Adaptive Control Algorithms for Dynamic Systems with Delay.”

Six monographs have been published:

  • Nezhinskikh S.S., Volkovich O.V., Savchenko E.Yu., Mirkin E.L. “Development and Use of Algorithms for Synthesizing Self-Organizing Neural Networks for Information Processing Tasks” — “NeoPrint”, Bishkek 2020, 96 pages.
  • Volkovich O.V., Mirkin E.L. “Using Neural Networks for Predicting Laryngoscopy.” — Saarbrucken, Germany: LAP LAMBERT Academic Publishing 2016, 103 pages.
  • Mirkin E.L., Savchenko E.Yu. “Synthesis of Neural Network Algorithms for Adaptive Testing.” — Saarbrucken, Germany: LAP LAMBERT Academic Publishing, 2015, 97 pages.
  • Mirkin E.L., Musakulova Zh.A. “Artificial Neural Networks in EEG Classification Problems.” – Saarbrucken, Germany: LAP LAMBERT Academic Publishing 2015, 104 p.
  • Mirkin E., Sharshenaliev J. “Adaptive Control Systems for Complex Objects.” LAP LAMBERT Academic Publishing (Germany), 2012.
  • Mirkin E. L. “Adaptive Control of Dynamic Systems with Delay.” Bishkek: KRSU, 2010.

 

The department’s faculty publishes research results in top-ranked journals registered in library databases (Scopus, Russian Science Citation Index).

 Main publications:

  •  CONFIGURING THE INTERVAL TARGET IN A MULTILAYER FEEDFORWARD NEURAL NETWORK ON THE EXAMPLE OF THE PROBLEM OF MEDICAL DIAGNOSTICS, Mirkin E., Savchenko E. In: Springer Proceedings in Physics. Series: “International Youth Conference on Electronics, Telecommunications and Information Technologies — Proceedings of the YETI 2020,” 2021. pp. 463-475.
  • USE OF THE METHOD OF CONFIGURING THE INTERVAL TARGET IN THE PROBLEM OF SYNTHESIS OF THE NEURAL NETWORK CLASSIFIER FOR DIAGNOSING CARDIOVASCULAR DISEASES, Mirkin E., Savchenko E. In: Proceedings of the 2020 IEEE International Conference on Electrical Engineering and Photonics, EExPolytech 2020. 2020. pp. 140-144.
  • USE OF A PATIENT’S FACE IMAGE FOR NEURAL NETWORK PREDICTION OF THE RISK OF DIFFICULT TRACHEAL INTUBATION, A. A. Aidaraliev, O. V. Volkovich, E. L. Mirkin, S. S. Nezhinskikh. Bulletin of the North-Western State Medical University named after I. I. Mechnikov. 2019. Vol. 11. No. 3. Pp. 23-32.
  • SYNTHESIS OF THE BACKPROPAGATION ERROR ALGORITHM FOR A MULTILAYER NEURAL NETWORK WITH NONLINEAR SYNAPTIC INPUTS, Musakulova Z., Mirkin E., Savchenko E. In: 2018 IEEE International Conference on Electrical Engineering and Photonics, EExPolytech 2018. Proceedings. 2018. Pp. 131-135. 10
  • INTELLIGENT DECISION SUPPORT SYSTEM FOR PREDICTING THE RISK OF DIFFICULT TRACHEAL INTUBATION, Aidaraliev A.A., Volkovich O.V., Mirkin E.L., Nezhinskikh S.S., Moldobaeva N.T. Doctor and information technology. 2018. No. 1. P. 59-67.

Results of intellectual activity (copyright certificates):

 

  • “DILEUS”. Software and algorithmic tools for diagnosing intestinal obstruction: application 20160003.6 of the Kyrgyz Republic, KYRGYZPATENT; applicants and patent holders Mirkin E.L., Nezhinskikh S.S., Akramov E.Kh., Volkovich O.V., Saliev A.T. – No. 400, filed 10.02.16; No. 02/576, published 26.02.16, certificate No. 397
  • “DATILEUS”. Database of software and algorithmic tools for diagnosing intestinal obstruction: application 20160002.7 of the Kyrgyz Republic, KYRGYZPATENT; Applicants and patent holders Mirkin E.L., Nezhinskikh S.S., Akramov E.Kh., Volkovich O.V., Saliev A.T. – No. 29, declared 10.02.16; No. 02/575, published 26.02.16, certificate No. 28
  • “INTUBATION”. Software and algorithmic means for diagnosing difficult tracheal intubation: application 20160005.6 Kyrgyz Republic, KYRGYZPATENT; applicants and patent holders Mirkin E.L., Nezhinskikh S.S., Akramov E.Kh., Volkovich O.V., Moldobaeva N.T., Mamatov A.N. – No. 402, declared 17.02.16; No. 02/578, published 26.02.16, certificate No. 399
  • Database of software and algorithmic tools for diagnosing difficult tracheal intubation: application 20160003.7, Kyrgyz Republic, KYRGYZPATENT; applicants and patent holders E.L. Mirkin, S.S. Nezhinskikh, E.Kh. Akramov, O.V. Volkovich, N.T. Moldobaeva, and A.N. Mamatov. – No. 30, filed 17.02.16; No. 02/574, published 26.02.16, certificate No. 29
  • SEISMIC INTENSITY Database. Certificate No. 25, June 17, 2015. Authors: V.V. Grebennikova, E.L. Mirkin.
  • Computer program: “SEISMIC INTENSITY.” Software and algorithmic tools for the rapid determination of seismic intensity. Certificate No. 369, June 17, 2015. Authors: E.L. Mirkin, V.V. Grebennikova.

Participation in the implementation of R&D results into production:

  • Automatic control system for a unit. Redmet-30. for growing monocrystalline silicon using the Czochralski method. KHMZ-Astra LLC (Orlovka Mining and Metallurgical Plant, Kyrgyzstan) (2008). Mirkin, E.L.
  • Automated system for classifying electroencephalogram data. Bishkek Medical Center for Functional Diagnostics (2013). Mirkin, E.L., Musakulova, Z.A.
  • Software program: “SEISMIC INTENSITY”. Software and algorithmic tools for the rapid determination of seismic tremor intensity. Computing Center of the Institute of Seismology, National Academy of Sciences of the Kyrgyz Republic (2015). Mirkin, E.L.
  • Software program: “DILEUS”. Software and algorithmic tools for the diagnosis of intestinal obstruction. Scientific Center for Reconstructive Surgery under the Ministry of Health of the Kyrgyz Republic, Bishkek (2016) Mirkin E.L., Volkovich O.V., Nezhinskikh S.S.
  • Computer program: “INTUBATION.” Software and algorithmic tools for diagnosing difficult tracheal intubation. Scientific Center for Reconstructive Surgery under the Ministry of Health of the Kyrgyz Republic, Bishkek (2016) Mirkin E.L., Volkovich O.V., Nezhinskikh S.S.

Participation in research projects funded by the Ministry of Education and Science of the Kyrgyz Republic (project supervisor E.L. Mirkin):

 

  • “Development of Intelligent Decision-Making Methods Based on Neural Network Technologies in Applied Problems” 2012, MUK; Budget, MES KR; completed
  • “Development of Neural Network Intelligent Decision-Making Methods in Applied Problems of Computer-Aided Medical Diagnostics and in the Creation of Innovative Methods of Computer-Aided Knowledge Testing in Education” 2013, MUK; Budget, MES KR; completed
  • “Synthesis of Intelligent Data Clustering Algorithms in Problems of Medical Diagnostics and Pattern Recognition in Video Streams Based on Neural Network Technologies” 2014, MUK; Budget, MES KR; completed
  • “Development of Self-Organization Algorithms for Neural Networks and Their Use in Applied Problems of Medical Diagnostics” 2015-2016, MUK; Budget, MES KR; Completed
  • “Development of Methods for Self-Organization of Neural Networks and Their Use in Applied Problems of Medical Cybernetics” 2017-2021, MUK; Budget, MES KR; Under development