Personalities of MEPhI
NRNU MEPhI National Research Nuclear University MEPhI
  1. Faculty and Staff
  2. Leshchev S.V.
Leshchev S.V.

Leshchev Sergey V.

Degree: Doctor of Sciences in Philosophy
Other titles: Academician of industrial Academy of Sciences

Professor

Кафедра философии, онтологии и теории познания (№54) института фундаментальных проблем социо-гуманитарных наук НИЯУ МИФИ
  • Г-228
  • 90-92
Send message Autumn 2025. Schedule

Languages

english
german
spanish
Works at MEPhI since 2002
Work Experience: 27 years

Education

1997 — National Research Nuclear University MEPhI

Courses

1. History and methodology of science and technology in the field of biotechnical systems and technologies
2. History and Philosophy of Science
3. Methodology of Science
4. Philosophy
5. History and philosophy of science
6. Methodology of economics
7. Methodology of science
8. Methodology of scientific knowledge

Publication activity

1
h-index (Web of Science)
3
h-index (Scopus)
11
h-index (РИНЦ)

Showing publications for last 3 years

  1. Article NBICS-discourse of complexity // Russian Studies in Philosophy, Science, 2025
  2. Article
    Web of Science & Scopus
    Artificial Intelligence Limitations: Blockchain Trust and Communication Transparency // Studies in Computational Intelligence, 2022 Vol. 1032 SCI, Q4 pp. 249-254 doi
  3. Article Artificial Intelligence Limitations: Blockchain Trust and Communication Transparency // Klimov V.V., Kelley D.J. (Eds.). Biologically Inspired Cognitive Architectures 2021: Proceedings of the 12th Annual Meeting of the BICA Society. Studies in Computational Intelligence, Springer, 2022 Vol. 1032 pp. 249-255 doi
  4. Article Formal ontology and logical rules of Artificial Intelligence // Procedia Computer Science, Springer, 2022
  5. Article Artificial Sensoric Communication System // 2022
  6. Article Informational, Logical and Material Boundaries of Computer Intelligence // Procedia Computer Science, Springer, 2022
  7. Article Artificial General Intelligence: Agency , Identity, Communication // Communication, Springer, 2022

Showing conferences for last 3 years

Conferences not found

Повышение квалификации

June 01, 2019 — June 30, 2019 Convolutional neural networks (25 hours) COURSERA
June 01, 2019 — June 30, 2019 Natural-Language-Processing-sequence-model (25 hours) COURSERA
May 01, 2019 — May 30, 2019 Deep neural network (25 hours) COURSERA
May 01, 2019 — May 30, 2019 Neural networks and deep learning (25 hours) COURSERA
May 01, 2019 — May 30, 2019 Structuring machine learning projects (25 hours) COURSERA

Профессиональная переподготовка

May 01, 2019 — June 30, 2019 DEEP LEARNING (5 courses) (125 hours) COURSERA

Additional education

MBA.. Manchester University.

COUSERA: 5 courses specialization, neural networks (2019)

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