Personalities of MEPhI
NRNU MEPhI National Research Nuclear University MEPhI
  1. Faculty and Staff
  2. Kudryavtsev K.Y.
Kudryavtsev K.Y.

Kudryavtsev Konstantin Y.

Degree: Candidate of Sciences (PhD) in Technology

Associate Professor

Department of Computer Systems and Technologies (12, ИИКС КАФ.12)
  • В-208
  • 8208
Send message Spring 2024. Schedule

Languages

english
Works at MEPhI since 1995
Work Experience: 28 years

Education

1981 — National Research Nuclear University MEPhI
2015 — National Research Nuclear University MEPhI

Courses

1. Academic (Research) Practice:
2. Computer Networks and Telecommunications
3. Computer Technologies in Science and Industry
4. Intelligent Systems
5. Theory of the Information Processes and Systems

Publication activity

3
h-index (Scopus)
4
h-index (РИНЦ)

Showing publications for last 3 years

  1. Article STUDY ON THE EFFECTIVENESS OF IMPLEMENTING A GENETIC ALGORITHM FOR SOLVING TRANSPORTATION LOGISTICS PROBLEMS // "Original Research" (ORIS), 2023 pp. 98-108
  2. Article
    Web of Science & Scopus
    The Research of Characteristic Frequencies for Gesture-based EMG Control Channels // Studies in Computational Intelligence, 2022 Vol. 1032 SCI, Q4 pp. 158-163 doi
  3. Article
    Web of Science & Scopus
    Algorithm for Multi-Channel Robotic Device Control Based on Minimizing Bayesian Risk // Procedia Computer Science, 2021 Vol. 190, Q2 pp. 803-807 doi
  4. Article Proof of normality of distribution of a subset of random variables based on the transformation of block matrices // Vestnik Natsional’nogo issledovatel’skogo yadernogo universiteta “MIFI”, MAIK Nauka/Interperiodica, MAIK Nauka/Interperiodica, 2021 Vol. 10, No. 1 pp. 58-64 doi
  5. Article
    Web of Science & Scopus
    Comparison Between Coordinated Control and Interpretation Methods for Multi-channel Control of a Mobile Robotic Device // Advances in Intelligent Systems and Computing, 2021 Vol. 1310, НЕТ pp. 558-564 doi

Showing conferences for last 3 years

  1. Февраль 2023 Physical and technical intelligent systems (FTIS-2023): Collection of abstracts of the II Scientific and Practical Conference, Moscow, February 07–09, 2023. Report: Automation of analytics processes in the processing of EEG and EMG signals in the framework of the implementation of human-machine interfaces /A. I. Petrova, T. I. Voznenko, E. V. Chepin, K. Ya. Kudryavtsev

Повышение квалификации

March 18, 2024 — March 30, 2024 Computer Vision for Industrial Inspection (16 hours) NVIDIA DEEP LEARNING INSTITUTE
November 23, 2023 — December 04, 2023 Enhancing Data Science Outcomes WithEfficient Workflow (16 hours) NVIDIA DEEP LEARNING INSTITUTE
October 27, 2023 — November 03, 2023 Fundamentals of Accelerated Computing with CUDA C/C++ (16 hours) NVIDIA DEEP LEARNING INSTITUTE
October 17, 2023 — October 28, 2023 Fundamentals of Deep Learning (16 hours) NVIDIA DEEP LEARNING INSTITUTE
October 16, 2023 — October 27, 2023 Accelerating Data Engineering Pipelines (16 hours) NVIDIA DEEP LEARNING INSTITUTE
October 02, 2023 — October 09, 2023 Fundamentals of Accelerated Computing with CUDA Python (16 hours) NVIDIA DEEP LEARNING INSTITUTE
June 14, 2022 — June 20, 2022 Fundamentals of programming in Python (20 hours) International Scientific and Methodological Center NRNU MEPhI
May 18, 2022 — June 07, 2022 Current foreign educational practices and research agenda in the field of artificial intelligence (20 hours) International Scientific and Methodological Center NRNU MEPhI
March 03, 2022 — April 03, 2022 Building Intelligent Recommender Systems (16 hours) NVIDIA DEEP LEARNING INSTITUTE
December 13, 2021 — December 18, 2021 GETTING STARTED WITH DEEP LEARNING (16 hours) NVIDIA DEEP LEARNING INSTITUTE
July 06, 2020 — July 16, 2020 Introduction to Nonlinear Mathematical Physics (16 hours) NRNU MEPhI
May 30, 2020 — June 10, 2020 Big Data Processing Technologies (16 hours) NRNU MEPhI
May 07, 2020 — May 21, 2020 Information security for the modern teacher (16 hours) NRNU MEPhI

Профессиональная переподготовка

April 27, 2020 — May 11, 2020 The Haskell 98 language and libraries (72 hours) National Open University INTUIT
November 16, 2019 — May 14, 2020 PYTHON programming language (72 hours) National Open University INTUIT
November 13, 2019 — June 29, 2020 Mathematical methods for pattern recognition (72 hours) National Open University INTUIT

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