Personalities of MEPhI
NRNU MEPhI National Research Nuclear University MEPhI
  1. Faculty and Staff
  2. Zaytsev K.S.
Zaytsev K.S.

Zaytsev Konstantin S.

Degree: Doctor of Sciences in Technology

Professor

Кафедра информационной безопасности банковских систем (№44) научно-образовательного центра "безопасность интеллектуальных киберфизических систем (ноц "бикс") института интеллектуальных кибернетических систем НИЯУ МИФИ

Chief Research Fellow

"Bionanophotonics" Laboratory

Head of a Center

Center of Ancillary Professional Education Development
  • К-209
  • 9106
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Languages

english
Works at MEPhI since 1976
Work Experience: 50 years

About

All my conscious life is connected with MEPhI. Here I received my higher education and immediately after that I started working as an engineer. Here I completed my postgraduate studies and defended my Ph.D. thesis, then I defended my doctoral dissertation, and now I work as a professor.
Currently, the subject of my scientific and project interests is the creation of applications using machine learning on digital platforms in various areas of real-time monitoring and medicine.

Education

1976 — National Research Nuclear University MEPhI

Courses

1. Agile technologies
2. High-intensity data processing infrastructure
3. Modern information technologies in financial institutions
4. Neural networks and artificial intelligence. Machine deep learning.

Publication activity

Showing publications for last 3 years

  1. Article
    Web of Science & Scopus
    A Method for Forecasting Geomagnetic Storms Based on Deep Learning Neural Networks Using Time Series of Matrix Observations of the Uragan Muon Hodoscope // Geomagnetism and Aeronomy, 2024 Vol. 64, No. 5 pp. 701-716 doi
  2. Article
    Web of Science & Scopus
    DETECTION OF GEOMAGNETIC STORM SUDDEN COMMENCEMENTS WITH THE USE OF NEURAL NETWORK ARCHITECTURES // Journal of Theoretical and Applied Information Technology, 2024 Vol. 102, No. 13 pp. 5168-5181
  3. Article
    Web of Science & Scopus
    RECOGNITION OF GEOMAGNETIC STORMS FROM TIME SERIES OF MATRIX OBSERVATIONS WITH THE MUON HODOSCOPE URAGAN USING NEURAL NETWORKS OF DEEP LEARNING РАСПОЗНАВАНИЕ ГЕОМАГНИТНЫХ БУРЬ НА ОСНОВЕ МАТРИЧНЫХ ВРЕМЕННЫХ РЯДОВ НАБЛЮДЕНИИ МЮОННОГО ГОДОСКОПА УРАГАН С ИСПОЛЬЗОВАНИЕМ НЕИРОННЫХ СЕТЕИ ГЛУБОКОГО ОБУЧЕНИЯ // Solar-Terrestrial Physics, 2024 Vol. 10, No. 1, Q4 pp. 83-91 doi
  4. Article
    Web of Science & Scopus
    DEVELOPMENT OF NEURAL NETWORK MODELS FOR OBTAINING INFORMATION ABOUT NODULAR NEOPLASMS OF THE THYROID GLAND BASED ON ULTRASOUND IMAGES // Journal of Theoretical and Applied Information Technology, 2023 Vol. 101, No. 15, Q3 pp. 6076-6091
  5. Article
    Web of Science & Scopus
    GENERATION OF MATHEMATICAL MODELS OF LINEAR DYNAMIC SYSTEMS DESCRIBED BY BLOCK DIAGRAMS // Journal of Theoretical and Applied Information Technology, 2022 Vol. 100, No. 20, Q3 pp. 6185-6198
  6. Article
    Web of Science & Scopus
    ANOMALY DETECTION IN STREAM DATA PROCESSING IN REAL TIME // Journal of Theoretical and Applied Information Technology, 2022 Vol. 100, No. 10, Q3 pp. 3467-3477
  7. RSCI USING CONTAINER MANAGEMENT SYSTEMS FOR CREATING DISTRIBUTED CLOUD INFORMATION SYSTEMS WITH MICROSERVICE ARCHITECTURE // 2021 pp. 24-26

Showing conferences for last 3 years

Conferences not found

Повышение квалификации

May 19, 2020 — May 28, 2020 Digital literacy for the modern teacher (16 hours) NRNU MEPhI

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