Участие в научных конференциях

Моё участие в научных конференциях.

Содержание

1 Distributed Computer and Communication Networks (DCCN)

1.1 2020

1.1.1 Доклады

  • Shchetinin, Eugene Yurievich and Sevastianov, Leonid Antonovich and Kulyabov, Dmitry Sergeevich and Ayrjan, Edik Artashevich and Demidova, Anastasia Vyacheslavovna (2020). “Deep Neural Networks for Emotion Recognition”. In: Vishnevskiy, V. M. and Samouylov, K. E. and Kozyrev, D. V., “Distributed Computer and Communication Networks. DCCN 2020”. Springer Nature Switzerland AG. 365–379. 10.1007/978-3-030-66471-8_28. [1; 2]
  • Korolkova, Anna Vladislavovna and Kulyabov, Dmitry Sergeevich and Hnatič, Michal (2020). “Practical Application of the Multi-model Approach in the Study of Complex Systems”. In: Vishnevskiy, V. M. and Samouylov, K. E. and Kozyrev, D. V., “Distributed Computer and Communication Networks. DCCN 2020”. Springer Nature Switzerland AG. 526-537. 10.1007/978-3-030-66471-8_40. [3; 4]
  • Sevastianov, Leonid Antonovich and Lovetskiy, Konstantin Petrovich and Kulyabov, Dmitry Sergeevich (2020). “An Effective Stable Numerical Method for Integrating Highly Oscillating Functions with a Linear Phase”. In: Krzhizhanovskaya, V. V. and Zavodszky, G. and Lees, M. H. and Sloot, P. M. A. and Dongarra, J. J. and Brissos, S. and Teixeira, J., “Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)”. Springer International Publishing. 29-43. 10.1007/978-3-030-50417-5_3. [5]
  • Shchetinin, Eugene Yurievich and Sevastianov, Leonid Antonovich and Kulyabov, Dmitry Sergeevich and Ayryan, Edik Artashevich and Demidova, Anastasiya Vyacheslavovna (2020). “Melanoma Detection Computer System Development with Deep Neural Networks”. In: Vishnevskiy, V. M. and Samouylov, K. E. and Kozyrev, D. V., “Distributed Computer and Communication Networks: Control, Computation, Communications”. Springer. 422–434. 10.1007/978-3-030-66242-4_33. [6]

2 Information Technology, Telecommunications and Control Systems (ITTCS)

2.1 2020

  • Информация: http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=113444©ownerid=165188
  • Fedorov, Arseny Vitalievich and Masolova, Anna Olegovna and Korolkova, Anna Vladislavovna and Kulyabov, Dmitry Sergeevich (2020). “Application of a numerical-analytical approach in the process of modeling differential equations in the Julia language”. In: , “Information Technology, Telecommunications and Control Systems (ITTCS), 2020”. IOP Publishing. 012026.1-8. 10.1088/1742-6596/1694/1/012026. [7]
  • Kulyabov, Dmitry Sergeevich and Korolkova, Anna Vladislavovna and Gevorkyan, Migran Nelsonovich (2020). “Hyperbolic numbers as Einstein numbers”. Journal of Physics: Conference Series, 1557, 012027.1-5. 10.1088/1742-6596/1557/1/012027. [8]
  • Apreutesey, Anna Maria Yurievna and Korolkova, Anna Vladislavovna and Kulyabov, Dmitry Sergeevich (2020). “Hybrid modelling of the RED algorithm in the Julia language”. In: , “Information Technology, Telecommunications and Control Systems (ITTCS), 2020”. IOP Publishing. 012025.1-5. 10.1088/1742-6596/1694/1/012025. [9]

3 International Conference Information and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems (ITTMM)

3.1 2020

3.1.1 Доклады

  • Apreutesey, Anna Maria Yurievna and Korolkova, Anna Vladislavovna and Kulyabov, Dmitry Sergeevich (2020). “Languages for modeling the RED active queue management algorithms: Modelica vs. Julia”. In: Kulyabov, Dmitry S and Samouylov, Konstantin E and Sevastianov, Leonid A, “Workshop on information technology and scientific computing in the framework of the X International Conference Information and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems (ITTMM-2020)”. 130-140. [10]
  • Gevorkyan, Migran Nelsonovich and Korolkova, Anna Vladislavovna and Kulyabov, Dmitry Sergeevich (2020). “Approaches to the implementation of generalized complex numbers in the Julia language”. In: Kulyabov, Dmitry S and Samouylov, Konstantin E and Sevastianov, Leonid A, “Workshop on information technology and scientific computing in the framework of the X International Conference Information and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems (ITTMM-2020)”. 141-157. [11]
  • Demidova, Anastasiya Vyacheslavovna and Kulyabov, Dmitry Sergeevich and Shchetinin, Eugeny Yurievich (2020). “Skin cancer classification computer system development with deep learning”. In: Kulyabov, Dmitry S and Samouylov, Konstantin E and Sevastianov, Leonid A, “Workshop on information technology and scientific computing in the framework of the X International Conference Information and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems (ITTMM-2020)”. 57-69. [12]

3.2 2021

3.2.1 Computer simulation of the stochastic RED algorithm

  • Доклад: Computer simulation of the stochastic RED algorithm [13].
  • Выступление: Апреутесей А. М. Ю.

4 Курышкинские чтения

5 Saratov Fall Meeting (SFM)

5.1 2023

6 Информационные технологии и нанотехнологии (ИТНТ) [International Conference on Information Technology and Nanotechnology (ITNT)]

6.1 2022

  • VIII International Conference on Information Technology and Nanotechnology (ITNT)
  • May 23–27, 2022
  • Samara, Russia
  • Доклад: Multistage collocation pseudo-spectral method for the solution of the first order linear ODE [14].
  • Выступление: Ловецкий К. П.

7 Компьютерная алгебра [Computer Algebra]

7.1 2021

  • Gevorkyan, Migran Nelsonovich and Kulyabov, Dmitry Sergeevich and Korolkova, Anna Vladislavovna and Demidova, Anastasia Vyacheslavovna and Velieva, Tatiana Refatovna (2021). “Symbolic implementation of multivector algebra in Julia language”. In: , “Computer algebra: 4th International Conference Materials”. LCC MAKS Press. 57-60. [15]
    • Выступал Геворкян М. Н.

8 Библиография

Литература

1. Shchetinin, E.Y. Deep Neural Networks for Emotion Recognition / E.Y. Shchetinin, L.A. Sevastianov, D.S. Kulyabov и др. // Distributed Computer and Communication Networks. DCCN 2020 : Lecture Notes в Computer Science / V.M. Vishnevskiy и др. ред. . – Cham : Springer Nature Switzerland AG, 2020. – Т. 12563. – Сс. 365–379.
2. Shchetinin, E.Y. Paralinguistic model for emotions recognition with deep neural networks / E.Y. Shchetinin, L.A. Sevastianov, D.S. Kulyabov и др. // Распределенные компьютерные и телекоммуникационные сети: управление, вычисление, связь (DCCN-2020) / В.М. Вишневский, К.Е. Самуйлов ред. . – Москва : Институт проблем управления им. В.А. Трапезникова РАН, 2020. – Сс. 42–50.
3. Korolkova, A.V. Practical Application of the Multi-model Approach in the Study of Complex Systems / A.V. Korolkova, D.S. Kulyabov, M. Hnatič // Distributed Computer and Communication Networks. DCCN 2020 : Lecture Notes в Computer Science / V.M. Vishnevskiy и др. ред. . – Cham : Springer Nature Switzerland AG, 2020. – Т. 12563. – Сс. 526–537.
4. Korolkova, A.V. The multi-model approach to the study of complex systems using the example of the RED active queue management algorithm / A.V. Korolkova, D.S. Kulyabov, M. Hnatič // Распределенные компьютерные и телекоммуникационные сети: управление, вычисление, связь (DCCN-2020) / В.М. Вишневский, К.Е. Самуйлов ред. . – Москва : Институт проблем управления им. В.А. Трапезникова РАН, 2020. – Сс. 418–425.
5. Sevastianov, L.A. An Effective Stable Numerical Method for Integrating Highly Oscillating Functions with a Linear Phase / L.A. Sevastianov, K.P. Lovetskiy, D.S. Kulyabov // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) : Lecture Notes в Computer Science (including subseries Lecture Notes в Artificial Intelligence и Lecture Notes в Bioinformatics) / V.V. Krzhizhanovskaya и др. ред. . – Cham : Springer International Publishing, 2020. – Т. 12138. – Сс. 29–43.
6. Shchetinin, E.Y. Melanoma Detection Computer System Development with Deep Neural Networks / E.Y. Shchetinin, L.A. Sevastianov, D.S. Kulyabov и др. // Distributed Computer and Communication Networks: Control, Computation, Communications : Communications в Computer и Information Science / V.M. Vishnevskiy и др. ред. . – Cham : Springer, 2020. – Т. 1337. – Сс. 422–434.
7. Fedorov, A.V. Application of a numerical-analytical approach in the process of modeling differential equations in the Julia language / A.V. Fedorov, A.O. Masolova, A.V. Korolkova, D.S. Kulyabov // Information Technology, Telecommunications and Control Systems (ITTCS), 2020 : Journal of Physics: Conference Series. – Innopolis : IOP Publishing, 2020. – Т. 1694. – Сс. 012026.1–8.
8. Kulyabov, D.S. Hyperbolic numbers as Einstein numbers / D.S. Kulyabov, A.V. Korolkova, M.N. Gevorkyan // Journal of Physics: Conference Series. – 2020. – Т. 1557. – Сс. 012027.1–5. DOI: 10.1088/1742-6596/1557/1/012027.
9. Apreutesey, A.M.Y. Hybrid modelling of the RED algorithm in the Julia language / A.M.Y. Apreutesey, A.V. Korolkova, D.S. Kulyabov // Information Technology, Telecommunications and Control Systems (ITTCS), 2020 : Journal of Physics: Conference Series. – Innopolis : IOP Publishing, 2020. – Т. 1694. – Сс. 012025.1–5.
10. Apreutesey, A.M.Y. Languages for modeling the RED active queue management algorithms: Modelica vs. Julia / A.M.Y. Apreutesey, A.V. Korolkova, D.S. Kulyabov // Workshop on information technology and scientific computing in the framework of the X International Conference Information and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems (ITTMM-2020) : CEUR Workshop Proceedings / D.S. Kulyabov и др. ред. . – Aachen, 2020. – Т. 2639. – Languages for modeling the RED active queue management algorithms. – Сс. 130–140.
11. Gevorkyan, M.N. Approaches to the implementation of generalized complex numbers in the Julia language / M.N. Gevorkyan, A.V. Korolkova, D.S. Kulyabov // Workshop on information technology and scientific computing in the framework of the X International Conference Information and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems (ITTMM-2020) : CEUR Workshop Proceedings / D.S. Kulyabov и др. ред. . – Aachen, 2020. – Т. 2639. – Сс. 141–157.
12. Demidova, A.V. Skin cancer classification computer system development with deep learning / A.V. Demidova, D.S. Kulyabov, E.Y. Shchetinin // Workshop on information technology and scientific computing in the framework of the X International Conference Information and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems (ITTMM-2020) : CEUR Workshop Proceedings / D.S. Kulyabov и др. ред. . – Aachen, 2020. – Т. 2639. – Сс. 57–69.
13. Apreutesey, A.M.Y. Computer simulation of the stochastic RED algorithm / A.M.Y. Apreutesey, A.V. Korolkova, D.S. Kulyabov // Workshop on information technology and scientific computing in the framework of the XI International Conference Information and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems (ITTMM-2021) : CEUR Workshop Proceedings / D.S. Kulyabov и др. ред. . – Moscow, 2021. – Т. 2946. – Сс. 45–53.
14. Sevastianov, L.A. Multistage collocation pseudo-spectral method for the solution of the first order linear ODE / L.A. Sevastianov, K.P. Lovetskiy, D.S. Kulyabov // 2022 VIII International Conference on Information Technology and Nanotechnology (ITNT). – Samara, Russian Federation : Institute of Electrical; Electronics Engineers Inc., 2022. – Сс. 1–6.
15. Gevorkyan, M.N. Symbolic implementation of multivector algebra in Julia language / M.N. Gevorkyan, D.S. Kulyabov, A.V. Korolkova и др. // Computer algebra: 4th International Conference Materials. – LCC MAKS Press, 2021. – Сс. 57–60.

Дмитрий Сергеевич Кулябов
Дмитрий Сергеевич Кулябов
Профессор кафедры прикладной информатики и теории вероятностей

Мои научные интересы включают физику, администрирование Unix и сетей.

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