- Research Assistant, Postgraduate Student:Faculty of Computer Science / Laboratory of Methods for Big Data Analysis
- Nikita Kazeev has been at HSE since 2016.
Continuing education / Professional retraining / Internships / Study abroad experience
Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2017-2018)
2nd year of study
Approved topic of thesis: Machine Learning for particle identification in the LHCb detector
Academic Supervisor: Ustyuzhanin, Andrey
Student Term / Thesis Papers
D. Dubov «Learning Spacecraft Control with Reinforcement Learning». Faculty of Computer Science, 2018
L. Gremyachikh «Automation of Satellite Collision Avoidance Maneuvers with Deep Reinforcement Learning». Faculty of Computer Science, 2018
- Article Ratnikov F., Ustyuzhanin A., Derkach D., Гущин М. И., Баранов А. С., Kazeev N. Search for weakly decaying bb-flavored pentaquarks // Physical Review D - Particles, Fields, Gravitation and Cosmology. 2018. Vol. 97. P. 032010-1-032010-11. doi
On July 17-23 the Third Machine Learning summer school organized by Yandex School of Data Analysis, Laboratory of Methods for Big Data Analysis at the National Research University Higher School of Economics and Imperial College London was held in Reading, UK. 60 students, doctoral students and researchers from 18 countries and 47 universities took part in the event.