Рахуба Максим Владимирович

Education and Degrees

2017

Candidate of Sciences* (PhD)

2014

Master's
Moscow Institute of Physics and Technology

2012

Bachelor's
Moscow Institute of Physics and Technology

* 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.

Continuing education / Professional retraining / Internships / Study abroad experience

Postdoc at ETH Zurich, 2018-2020

Professional Interests

artificial intelligence tensor methods matrix analysis deep learning numerical mathematics

Awards and Accomplishments

Best Teacher — 2021–2024
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Lecturers" (2021–2022)

Courses (2024/2025)

Foundations of Tensor Computations (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
Foundations of Tensor Computations (Bachelor’s programme; Faculty of Computer Science; 4 year, 1, 2 module)Rus
Foundations of Tensor Computations (Mago-Lego; 1, 2 module)Rus
Past Courses

Timetable for today

Full timetable

Grants

2021 - present: PI for the grant 21-71-00119 (Russian Science Foundation), “Adaptive tensor methods for partial differential equations”.

2016 - 2017: PI for the grant 16-31-00372 (Russian Fund for Basic Research), “Fast tensor approach to electronic structure calculation”.

11

Jan

2024

The Secret to Success: How Recommender Systems Are Changing Industry

A scientific conference dedicated to the young and actively developing field of recommender systems was held at HSE University. Representatives of the scientific community and industry gathered at the site to exchange cutting-edge ideas and best practices, as well as discuss opportunities to implement new technologies in real-life business scenarios.

27

Sep

2023

New Labs to Open at Faculty of Computer Science

Based on the results of a project competition, two new laboratories are opening at HSE University’s Faculty of Computer Science. The Laboratory for Matrix and Tensor Methods in Machine Learning will be headed by Maxim Rakhuba, Associate Professor at the Big Data and Information Retrieval School. The Laboratory for Cloud and Mobile Technologies will be headed by Dmitry Alexandrov, Professor at the School of Software Engineering.

10

Nov

2022

17 Articles by Researchers of HSE Faculty of Computer Science Accepted at NeurIPS

In 2022, 17 articles by the researchers of HSE Faculty of Computer Science were accepted at the NeurIPS (Conference and Workshop on Neural Information Processing Systems), one of the world’s most prestigious events in the field of machine learning and artificial intelligence. The 36th conference will be held in a hybrid format from November 28th to December 9th in New Orleans (USA).

10

Jun

2022

HSE Faculty of Computer Science and Skoltech Hold Math of Machine Learning Olympiad 2022

HSE's Faculty of Computer Science and the Skolkovo Institute of Science and Technology have held the Mathematics of Machine Learning Olympiad for the fifth time. The participants competed for prizes and the opportunity to matriculate at two universities without exams by enrolling in the HSE and Skoltech joint master's programme in Math of Machine Learning.

Maxim Rakhuba