Dr. Pavel CHUPRIKOV

Fecha de graduación: Nov 2019
- BSc: Applied Mathematics and Informatics - ITMO University. St, Russia
- PhD: Computer Science - Universidad Carlos III de Madrid, España
- Tesis doctoral: Theoretical and Empirical Analysis of Fundamental Bottlenecks in Networking and Distributed Computing
- Fecha de doctorado: Noviembre 2019
- Supervisores de tesis: Dr. Kirill KOGAN, IMDEA Networks Institute, Spain | Dr. Sergey NIKOLENKO, Steklov Institute of Mathematics at St. Petersburg, Russia
Puesto anterior: Estudiante de doctorado. IMDEA Networks Institute. Madrid. España | Software Developer at JetBrains. St. Petersburg. Russia
Fecha de incorporación: Marzo 2016
Fecha de cese: Enero 2020

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PREDICAT: Efficient Packet Classification via Prefix Disjointness (Invited Paper)
Pavel Chuprikov, Vitalii Demianiuk, Sergey Gorinsky
ICCCN 2021. virtual. Julio 2021
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Towards declarative self-adapting buffer management
Pavel Chuprikov, Sergey Nikolenko, Kirill Kogan
ACM SIGCOMM Computer Communication Review. https://doi.org/10.1145/3411740.3411745. Volumen 50 , ACM. ISSN: 0146-4833. Julio 2020
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New Alternatives to Optimize Policy Classifiers
Vitalii Demianiuk, Sergey Nikolenko, Pavel Chuprikov, Kirill Kogan
IEEE/ACM Transactions on Networking. https://doi.org/10.1109/TNET.2020.2979400. Volumen 28 , Co-sponsored by the IEEE Communications Society, the IEEE Computer Society, and the ACM with its Special Interest Group on Data Communications (SIGCOMM). ISSN: 1063-6692. Junio 2020
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Theoretical and Empirical Analysis of Fundamental Bottlenecks in Networking and Distributed Computing (PhD)
Pavel Chuprikov
Noviembre 2019
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New Alternatives to Optimize Policy Classifiers
Vitalii Demianiuk, Sergey Nikolenko, Pavel Chuprikov, Kirill Kogan
The 26th IEEE International Conference on Network Protocols (ICNP 2018). Cambridge, UK. Septiembre 2018

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