I graduated from KubSTU with MSc in cybersecurity. During my study, I was working on various computer vision tasks (for physical security access control systems) as well as on deep learning intrusion detection systems.
Since 2019, I am a developer at JetBrains, where I'm involved in multiple Computer Vision and NLP projects, including the Art Generator codenamed Limb [](https://code2art.jetbrains.com/), [](https://blog.jetbrains.com/blog/2020/09/29/intelligent-code-art/) and 10M Jupyter Notebooks research [](https://blog.jetbrains.com/datalore/2020/12/17/we-downloaded-10-000-000-jupyter-notebooks-from-github-this-is-what-we-learned/).
Using Modern Machine Learning Methods on KASCADE Data for Outreach and Education
V. Tokareva, D. Kostunin, I. Plokhikh and V. Sotnikov
Tunka-Rex Virtual Observatory
V. Lenok, D. Kostunin, O. Kopylova, P. Bezyazeekov, D. Wochele, F. Polgart, S. Golovachev, V. Sotnikov and E. Sotnikova for the Tunka-Rex Collaboration
Reconstruction of sub-threshold events of cosmic-ray radio detectors using an autoencoder
P. Bezyazeekov, D. Shipilov, D. Kostunin, I. Plokhikh, A. Mikhaylenko, P. Turishcheva, S. Golovachev, V. Sotnikov and E. Sotnikova for the Tunka-Rex Collaboration
New insights from old cosmic rays: A novel analysis of archival KASCADE data
D. Kostunin, I. Plokhikh, M. Ahlers, V. Tokareva, V. Lenok, P.A. Bezyazeekov, S. Golovachev, V. Sotnikov, R. Mullyadzhanov and E. Sotnikova