Maxim Beketov
- Junior Research Fellow: Faculty of Computer Science / AI and Digital Science Institute / International Laboratory of Stochastic Algorithms and High-Dimensional Inference
- Maxim Beketov has been at HSE University since 2020.
- Language Proficiency
- English
- French
- Contacts
- Phone:
+7 (495) 772-95-90
27361 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room T926
- Math-Net.ru
- SPIN-RSCI: 8265-4665
- ORCID: 0000-0001-5394-5508
- ResearcherID: AAD-6855-2022
- Scopus AuthorID: 57015098400
- Google Scholar
- Office hours
- Friday, 18:00-20:00
- Blogs
- ResearchGate
- Supervisor
- A. Naumov
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Education
Moscow Institute of Physics and Technology
Moscow Institute of Physics and Technology
Awards and Accomplishments
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2025)
Courses (2023/2024)
- Introduction to Discrete Differential Geometry (Optional course (faculty); Faculty of Computer Science; 2 module)Rus
- Past Courses
Courses (2022/2023)
- Introduction to Discrete Differential Geometry (Optional course (faculty); Faculty of Computer Science; 1, 2 module)Rus
Courses (2021/2022)
- Calculus 1 (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 1, 2 module)Rus
Conferences
- 2024
ICDM 2024: IEEE International Conference on Data Mining (Абу-Даби). Presentation: VIA AI: Reliable Deep Reinforcement Learning for Traffic Signal Control
- 2023
4th Workshop on Topological Methods in Data Analysis (Heidelberg). Presentation: Topologically Autoencoding Cognitive Maps
Топология, комбинаторика и анализ данных (Воронеж). Presentation: Когомологии пучков и графовые нейросети (Sheaf cohomology and graph neural networks (GNNs), in Russian)
Алгебраическая топология, гиперболическая геометрия и компьютерный анализ данных (Томск). Presentation: Симметричные гиперболические вложения данных в машинном обучении (Symmetric hyperbolic embeddings of data in Machine Learning, in Russian)
- 2022
The interdisciplinary world of tangling conference (Потсдам). Presentation: Reconstructing knots from point clouds with persistent homology
Международная школа «Торическая топология, комбинаторика и анализ данных» (Санкт-Петербург). Presentation: Топологические дескрипторы и их применения в анализе данных (Topological descriptors and their usage in data analysis, in Russian)
Employment history
Scientific translator (Russian-English) – Pleiades Publishing, October 2017 - June 2018
International Baccalaureate Mathematics & Computer Science (Diploma Programme) teacher – The Romanov School, January 2018 - May 2020
Data Scientist (recommender systems, etc.) – App In The Air, June 2018 - February 2019
Python developer (computational geometry) – Archeads, September 2019 - June 2020
‘I Like to Think that the Solutions We Find Can Help People in the Future’
Innopolis University has announced the results of Global Al Challenge, an international AI industry online hackathon in which teams of developers compete to create new materials using artificial intelligence. The DrugANNs team, which included students from the HSE University Faculty of Computer Science, took third place.