Saraa Ali

Responsibilities

Разработка и применение методов машинного и глубокого обучения для решения естественнонаучных задач, в частности задач, связанных с экспериментами в физике частиц.
Исследовательская деятельность включает разработку генеративных моделей, обработку и анализ данных современных экспериментальных установок, калибровку отклика детекторов на основе данных, а также объединение физических моделей с подходами машинного обучения.
Участие в исследовательской деятельности лаборатории, подготовка научных публикаций и представление результатов исследований на конференциях.

Education

2021

Master's
Moscow State Technological University ‘Stankin’

2018

Bachelor's
Tishreen University

Professional Interests

Machine Learning Competitive programming С++Deep Learning GAN

Postgraduate Studies

3rd year of study
Approved topic of thesis: Efficient parameterizations for training and finetuning GANs in the domain of image and audio
Academic Supervisor: Denis Derkach

Courses (2025/2026)

Deep Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Eng
Generative Models in Machine Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 3 module)Rus
Generative Models in Machine Learning (Optional course (faculty); Faculty of Computer Science; 3 module)Rus
Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Eng
Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 3, 4 module)Eng
Past Courses

Conferences

2026
2026 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) (Yekaterinburg). Presentation: Parameter Search for MCSA-Guided Synthetic Fault Injection in Induction Motor Diagnostics
2026 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) (Yekaterinburg). Presentation: Performance Modeling of Data Storage Systems using Diffusion Models

2025
2025 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) (Yekaterinburg). Presentation: Hybrid Fault Detection in Three-Phase Induction Motors
The 25th International Conference on Computational Science and Its Applications (ICCSA 2025) (Istanbul). Presentation: Unsupervised Learning for Calorimeter Response Correction: A WGAN-Based Method

2024
The 8th International Conference on Deep Learning in Computational Physics (Москва). Presentation: Calibrating for the Future: Enhancing Calorimeter Longevity with Deep Learning

2021
ЗАПИСЬ И ВОСПРОИЗВЕДЕНИЕ ОБЪЁМНЫХ ИЗОБРАЖЕНИЙ В КИНЕМАТОГРАФЕ, НАУКЕ, ОБРАЗОВАНИИ И В ДРУГИХ ОБЛАСТЯХ (Москва). Presentation: ПРОБЛЕМЫ МНОЖЕСТВЕННЫХ ВИДЕОПОТОКОВ ПРИ МОНИТОРИНГЕ И УПРАВЛЕНИИ РОБОТОТЕХНИЧЕСКИХ СИСТЕМ УЧЕБНОГО И СЕРВИСНОГО НАЗНАЧЕНИЯ

Employment history

2021 - Research assistant at the International Laboratory of Intelligent Systems and Structural Analysis.

04.2022 — 09.2022 - Research assistant: - Institute of Information Transmission Problems, Moscow.

09.2020 — 09.2021 - Teacher assistant: - Moscow State Technological University 'Stankin', Moscow.

03.2020 — 04.2020 - Robotics Engineer: - Evolvector company Educational solutions in the field of electronics and robotics.

02.2014 — 10.2018 - Coach, lecturer, and a Judge: - ACM-ICPC International Collegiate Programming Contest, https://icpc.global/ICPCID/E8HPGHUMH5ZS .

02.2018 — 04.2018 - Trainer in Annual Robot Competition (ARC): Syrian Computer Society (SCS).

25

May

2026

HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors

Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.

20

Apr

2026

HSE University Presents Research Results at AI Conference in Oman

In April 2026, the International Conference on Intelligent Systems and Artificial Intelligence Applications (ISAA 2026) was held at the University of Nizwa in the Sultanate of Oman. The event was co-organised by HSE University, the University of Nizwa, and the University of Technology and Applied Sciences–Ibri. Researchers from HSE University were among the key speakers at the conference.

5

Jul

2022

I Believe That at HSE University, You Can Grow Bigger

Tharaa Ali, 1st-year PhD student, told us about her life in Russia, IT education, and her research