Bibliography

I’m a second-year PhD student at the University of Geneva advised by Slava Voloshynovskiy. Previously, I graduated with distinction from Higher School of Economics in 2021 with a master’s degree in Data Science and did my undergrad at Saint Petersburg State University. Before joining Stochastic Information Processing group, I was part of JetBrains Research.
I’m supported by the Swiss National Science Foundation.

Research interests

I am interested in deep learning in general.
My current research focuses on the following topics:

  • Computer vision
  • Generative modelling
  • Machine learning for anti-counterfeiting and brand protection

and some of my previous research topics:

  • Black-box optimization
  • Reinforcement learning, simulation to reality transfer

Teaching

Teaching assistant for:

  • Data Science (14X026) — Fall 2023, 2022, 2021
  • Multimedia Security and Privacy (14x016) — Spring 2023, 2022

Awards and achievements

  • NeurIPS 2020 Competition Track challenges:
    • Third place in the Black box optimization challenge
    • Third place in the AI Driving Olympics (AI-DO) challenge
  • NeurIPS 2021 Competition Track challenges:
    • Fourth place in MineRL Diamond Competition
  • All-Russian Student Olympics “Ya — Professional”:
    • Silver medal in the category of “Programming and Information Technologies” (2021)
    • Winner in the category “Artificial Intelligence” (2021, 2020, 2019), “Software Engineering” (2021, 2019), “Business Informatics” (2021), “Big data” (2020, 2019), “Programming and Information Technologies” (2020), “Internet of Things” (2019)
  • Won eight hackathons

Publications

For a full list please see my Google Scholar profile.

Selected publications:

  • Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization [paper] [code]
    Proceedings of the NeurIPS 2020 Competition and Demonstration Track
  • MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned [paper]
    Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track
  • Digital twins of physical printing-imaging channel [paper] [code]
    IEEE International Workshop on Information Forensics and Security (WIFS) 2022
  • Authentication of Copy Detection Patterns under Machine Learning Attacks: A Supervised Approach [paper] [code]
    IEEE International Conference on Image Processing (ICIP) 2022