Tigran Ramazyan
- Research Assistant:Faculty of Computer Science / AI and Digital Science Institute / Laboratory of Methods for Big Data Analysis
- Tigran Ramazyan has been at HSE University since 2019.
Continuing education / Professional retraining / Internships / Study abroad experience
- CERN Openlab Summer Student Programme - ‘The ATLAS detector as a muon fixed-target experiment: using generative models to simulate muonic force carriers’
- MLHEP 2020 Summer School
Courses (2023/2024)
- Deep Learning (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Eng
- Fundamentals of Statistical Learning (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
- Generative Models in Machine Learning (Bachelor’s programme; Faculty of Computer Science; 4 year, 3 module)Eng
- Research Seminar "Data Analysis in the Natural Sciences" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
- Research Seminar "Methodology of Project Work" (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 1, 2 module)Rus
- Past Courses
Courses (2022/2023)
Research Seminar "Data Analysis in the Natural Sciences" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
Publications1
Article Ramazyan T., Kiss O., Grossi M., Kajomovitz E., Vallecorsa S. Generating muonic force carriers events with classical and quantum neural networks // Journal of Physics: Conference Series. 2023. No. 2438. Article 012089. doi
Conferences
2021
20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (Тэджон). Presentation: Generating muonic forces carriers with classical and quantum neural networksAt Sarov Technopark, Researchers from HSE Faculty of Computer Science Discussed AI for Data Analysis in Physics
The Laboratory of Methods for Data Analysis of the HSE Faculty of Computer Science, in collaboration with the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF, Sarov) and the National Centre for Physics and Mathematics, recently held the Second All-Russian School-Seminar on High Energy Physics and Accelerator Technology.
"My Model Will Be Used to Analyse Data from the ATLAS Detector Collected During the New Collider Launch in 2022"
Tigran Ramazyan, a fourth-year student of the Data Science and Business Analytics double-degree programme, has talked about his studies at the Faculty and internship at CERN openlab.