Personalities of MEPhI
NRNU MEPhI National Research Nuclear University MEPhI
  1. Faculty and Staff
  2. Zaeva M.A.
Zaeva M.A.

Zaeva Margarita A.

Degree: Candidate of Sciences (PhD) in Technology

Associate Professor

Department of Computer Systems and Technologies (12, ИИКС КАФ.12)
  • К-910
  • 9367
Send message Spring 2024. Schedule
Works at MEPhI since 1999
Work Experience: 25 years

About

In 2014, I was awarded the "Best Teacher of the NRNU MEPhI" badge.

Education

1999 — National Research Nuclear University MEPhI
2015 — National Research Nuclear University MEPhI
2019 — National Research Nuclear University MEPhI

Courses

1. Academic (Research) Practice:
2. Digital Signal Processing
3. Educational practice (design and technology)
4. Industry Workshop: research, methods and means of automated systems for information processing and management
5. Mathematical Principles of Complex Systems Theory
6. Principles of Digital Data Processing Application and Theory
7. Principles of Queuing theory
8. Project Workshop (Introduction To Profession)

Publication activity

2
h-index (Web of Science)
4
h-index (Scopus)
6
h-index (РИНЦ)

Showing publications for last 3 years

  1. Article
    Web of Science & Scopus
    Charging Electrical Capacitance Corresponding to the Minimum of Dissipative Losses // Journal of Engineering Physics and Thermophysics, 2024 doi
  2. Article CHARGING ELECTRICAL CAPACITANCE CORRESPONDING TO THE MINIMUM OF DISSIPATIVE LOSSES // Journal of Engineering Physics and Thermophysics, Springer Science+Business Media, LLC, 2024 Vol. 97, No. 1 pp. 257-261 doi
  3. Article
    Web of Science & Scopus
    Information Support of Decision-making Technology on the Safe Operation of Gas Cylinder Equipment // Procedia Computer Science, 2022 Vol. 213, No. C, Q2 pp. 217-222 doi
  4. Article
    Web of Science & Scopus
    The Control Algorithm of Compressor Equipment of Automobile Gas-Filling Compressor Stations with Fuzzy Logic Elements // Studies in Computational Intelligence, 2022 Vol. 1032 SCI, Q4 pp. 613-619 doi
  5. Article The Control Algorithm of Compressor Equipment of Automobile Gas-Filling Compressor Stations with Fuzzy Logic Elements // Biologically Inspired Cognitive Architectures 2021: Proceedings of the 12th Annual Meeting of the BICA Society. Studies in Computational Intelligence, Springer: Cham, Switzerland, 2022 Vol. 1032 pp. 613-620
  6. Article
    Web of Science & Scopus
    Alternative Inverse Perspective Mapping Homography Matrix Computation for ADAS Systems Using Camera Intrinsic and Extrinsic Calibration Parameters // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 695-700 doi
  7. Article
    Web of Science & Scopus
    Heat exchange systems with minimal irreversibility // Chemical Engineering Research and Design, 2021 Vol. 171, Q1 pp. 317-326 doi
  8. Article
    Web of Science & Scopus
    The Method of Planning the Process of Refueling Vehicles Using Artificial Intelligence and Fuzzy Logic Methods // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 252-255 doi
  9. Article
    Web of Science & Scopus
    Anthropogenic Spatial Systems: Transformation and Potential of Self-Organization // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 246-251 doi
  10. Article
    Web of Science & Scopus
    Method of Applying Fuzzy Situational Network to Assess the Risk of the Industrial Equipment Failure // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 241-245 doi
  11. Article
    Web of Science & Scopus
    Lightweight Surround View Algorithm for Embedded TDA3xx Platform // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 690-694 doi
  12. Article Heat exchange systems with minimal irreversibility // Chemical Engineering Research and Design, Elsevier, 2021 Vol. 171 pp. 317-326 doi

Showing conferences for last 3 years

  1. Сентябрь 2021 Biologically Inspired Cognitive Architectures 2021: BICA Workshop at 21-st ACM International Conference on Intelligent Virtual Agents” (Fukuchiyama, Japan, 2021) Report: The Control Algorithm of Compressor Equipment of Automobile Gas-Filling Compressor Stations with Fuzzy Logic Elements

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