Dmitry S. Kulyabov

Dmitry S. Kulyabov

Professor of the Department of Applied Informatics and Probability Theory

Peoples' Friendship University of Russia (RUDN University)

Biography

Dmitry S. Kulyabov works as a professor at the Department of Applied Informatics and Probability Theory of Peoples’ Friendship University of Russia. His research interests are in the field of theoretical physics and mathematical modeling.

Interests
  • Relativity
  • Geometrization
  • Electrodynamics and optics
  • History of Physics
  • Philosophy of Physics
  • LaTeX
Education

  • Professor by specialty, 2022

    Peoples' Friendship University of Russia

  • Doctor of Sciences in Physics and Mathematics, 2017

    Peoples' Friendship University of Russia

  • Docent at the Department, 2005

    Peoples' Friendship University of Russia

  • Candidate of Sciences in Physics and Mathematics, 2000

    Peoples' Friendship University of Russia

  • Master of Science in Physics, 1995

    Peoples' Friendship University of Russia

  • Bachelor of Science in Physics, 1993

    Peoples' Friendship University of Russia

Skills

Linux

95%

LaTeX

95%

Physics

80%

Experience

 
 
 
 
 
Peoples' Friendship University of Russia
Full Professor
Peoples’ Friendship University of Russia
Feb 2019 – Present Moscow, Russian Federation
 
 
 
 
 
Joint Institute for Nuclear Research
Senior Researcher
Joint Institute for Nuclear Research
Sep 2013 – Present Dubna, Moscow region, Russian Federation
 
 
 
 
 
Peoples' Friendship University of Russia
Associate Professor
Peoples’ Friendship University of Russia
Jul 2001 – Jan 2019 Moscow, Russian Federation
 
 
 
 
 
NII Gazekonomika
Senior Researcher
NII Gazekonomika
May 1997 – Jun 2001 Moscow, Russian Federation

Recent Posts

Contributor Roles

Contributor Roles Taxonomy.

Last updated on 2024-01-24 2 min read Science
Emacs. Tabs

Show the tabline in the top of the frame.

Last updated on 2023-12-13 1 min read Computer-Science
Saratov Fall Meeting Conference 2023

Saratov Fall Meeting Conference 2023.

Last updated on 2023-08-25 4 min read Science
Tinkoff

Tinkoff.

Last updated on 2023-07-20 1 min read Life
SberBank

SberBank.

Last updated on 2023-07-20 1 min read Life
See all posts

Projects

*
All Science Programing Sysadmin
2020-04-03
Small utilities and scripts
Small utilities and scripts

Small utilities and scripts for computers and everyday life

2020-04-01
Geometrization
Geometrization

Theoretical geometric approach in electrodynamics

2020-04-01
LaTeX and environment
LaTeX and environment

Classes for LaTeX. Utilities for organizing work

2020-04-01
Machine learning
Machine learning

Machine learning in mathematical modeling problems

Recent & Upcoming Talks

Structural approach to the deep learning method
Talk on conference
2019-10-03
Project Slides
Structural approach to the deep learning method

Recent Publications

One-step Stochastization Methods for Open Systems
In this paper, two approaches (combinatorial and operatorial) to the stochastization of the one-step processes are discussed for the …
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A new algorithm used the Chebyshev pseudospectral method to solve the nonlinear second-order Lienard differential equations
This article presents a numerical method to determine the approximate solutions of the Lienard equations. It is assumed that the …
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Structural Approach to the Deep Learning Method
According to the modest opinion of the authors, data science, machine learning, neural networks are extremely relevant areas of …
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Constrained Hamiltonian approach to the Maxwell theory
The most common physical formalisms are the Lagrangian formalism and the Hamiltonian formalism. From the superficial point of view, …
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Essay on the study of the self-oscillating regime in the control system
The authors for a long time have investigated the phenomenon of global synchronization. Specifically, the occur- rence of a …
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See all publications

Popular Topics

Article Blogging CAS Dblp Emacs Fiction Geometrization Hamiltonian History Hybrilit Jcr-Q2 Jcr-Q4 Kink Latex Machine-Learning Maxima Misc-Utils Money Network Occasion Programming Project-Programing Project-Science Project-Sysadm RED Research Rfbr14-01-00628 Rfbr15-07-08795 Rfbr16-07-00556 Rfbr19-01-00645 Rinc Rinc-Core Rudn Rudn5-100 Science-Admin Scopus SDE Sjr-Q1 Sjr-Q2 Sjr-Q3 Sysadmin Tex Through-the-Window Vak Wos

Contact

  • kulyabov-ds@rudn.ru
  • 3 Ordzhonikidze, Moscow, Russian Federation 115419
  • Enter Building and take the stairs to Office 384 on Floor 3
  • Monday 09:00 to 16:00
    Tuesday 09:00 to 16:00
    Wednesday 09:00 to 16:00
    Thursday 09:00 to 16:00