Рюмин Дмитрий Александрович

Education and Degrees

2020

Candidate of Sciences* (PhD)

2016

Master's in Information Systems and Technologies
St Petersburg National Research University of Information Technology, Mechanics and Optics

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.

Professional Interests

speech technology audiovisual speech recognition sign language recognition pattern recognition computational linguistics affective computing assistive technologies interpreted data processing intelligent video analytics computer vision automatic machine learning multimedia systems multimodal interfaces

Supervisor of the following Doctoral theses

for a Candidate of Sciences degree

1
M. Zapolsky Big language models for mathematical reasoning
2
A. Egorova Models and multimodal affect recognition methods of human states for human-machine interaction

Courses (2025/2026)

Deep Learning Basics (Bachelor’s programme; School of Computer Science, Physics and Technology field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus
Deep Learning Basics (Bachelor’s programme; School of Computer Science, Physics and Technology field of study Applied Mathematics and Information Science; 3 year, 1-4 module)Rus
Deep Learning Basics (Bachelor’s programme; School of Computer Science, Physics and Technology field of study Applied Mathematics and Information Science; 2 year, 3, 4 module)Rus
Project Seminar (Bachelor’s programme; School of Computer Science, Physics and Technology field of study Applied Mathematics and Information Science; 1 year, 4 module)Rus
Project Seminar (Bachelor’s programme; School of Computer Science, Physics and Technology field of study Applied Mathematics and Information Science; 1 year, 1-4 module)Rus
Past Courses

Timetable for today

Full timetable

24

Nov

2025

Technological Breakthrough: Research by AI and Digital Science Institute Recognised at AI Journey 2025

Researchers from the AI and Digital Science Institute (part of the HSE Faculty of Computer Science) presented cutting-edge AI studies, noted for their scientific novelty and practical relevance, at the AI Journey 2025 International Conference. A research project by Maxim Rakhuba, Head of the Laboratory for Matrix and Tensor Methods in Machine Learning, received the AI Leaders 2025 award. Aibek Alanov, Head of the Centre of Deep Learning and Bayesian Methods, was among the finalists.

Dmitry Ryumin