Fedor Buzaev

Education

2023

Master's in Applied Mathematics and Information Science
HSE University

2020

Bachelor's in Power Engineering and Electrical Engineering
Moscow Power Engineering Institute

Professional Interests

Physics Informed Neural Networks computer vision

Postgraduate Studies

3rd year of study
Approved topic of thesis: Systematic Optimization of Architecture and Hyperparameters of Physics-Informed Neural Networks
Academic Supervisor: Fedor Ratnikov

Courses (2025/2026)

Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science, Economics; 3 year, 1, 2 module)Rus
Machine Learning 1 (Optional course (faculty); Faculty of Computer Science; 1, 2 module)Rus
Machine Learning 1 (Mago-Lego; Faculty of Computer Science)Rus
Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science, Economics; 2 year, 3, 4 module)Rus
Past Courses

Timetable for today

Full timetable

Employment history

December 2024 г. - present - Zvuk.com deep learning researcher

June 2023 - present - scientific and educational laboratory of big data analysis methods, junior research fellow

September 2022 - present - Huawei RRI, middle deep learning researcher

March 2021 - September 2022 - JuniStat, junior computer vision engineer

September 2020 - March 2021 - EdisonLab, junior computer vision engineer

14

May

2026

HSE FCS Researchers Showcase AI and Bioinformatics Breakthroughs at ICLR 2026

Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science, along with students from the AI360: Artificial Intelligence Engineering track of the Applied Mathematics and Information Science bachelor’s programme, took part in ICLR, one of the world’s most prestigious international conferences on machine learning and representation learning. This year’s event was held in Rio de Janeiro, Brazil.