1. Publication: 'In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems' (CCS '23)
2. Publication: 'PINOT: Programmable Infrastructure for Networking' (ANRW 23)
3. Publication: 'AI/ML and Network Security: The Emperor has no Clothes' (CCS '22)
4. Award: UCSB CS Department Summer Fellowship Award, 2023
Research Experience
1. On-Device ML Model Researcher at Huawei Russia (Mar. 2020 - Sep. 2021)
2. Junior Reinforcement Learning Researcher at JetBrains Research (Oct. 2019 - Jun. 2020)
3. Python tutor at Higher School of Engineering (Sep. 2018 - Sep. 2020)
Education
1. Ph.D. in Computer Science – University of California, Santa Barbara, 2021 - now, with Prof. Arpit Gupta
2. M.S. in Computer Science – Peter the Great Saint-Petersburg Polytechnical University, Thesis: applying natural gradient descent to reinforcement learning algorithm
3. B.S. in Computer Science – Peter the Great Saint-Petersburg Polytechnical University, Thesis: creating music with generative adversarial networks
Background
Ph.D. student at the University of California, Santa Barbara, working under the supervision of Prof. Arpit Gupta. Current research lies at the intersection of networking, security, and machine learning, focusing on developing credible ML-based artifacts for different networking and security problems, and democratizing network research by creating public measurement infrastructures and tools.
Miscellany
Hobby research interests: Deep Space Network and extra-terrestrial issues in networking