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Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources
Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources
Sergey Nikolenko
Data Science

Sergey Nikolenko

Chief Research Officer, Neuromation Head of AI Lab, PDMI RAS

Faculty Profile

Sergey Nikolenko is a computer scientist with vast experience in machine learning and data analysis, algorithms design and analysis, theoretical computer science, and algebra. He graduated from St. Petersburg State University in 2005, majoring in algebra (Chevalley groups), and earned his Ph.D at the Steklov Mathematical Institute at St. Petersburg in 2009 in theoretical computer science (circuit complexity and theoretical cryptography). Since then, Sergey has been interested in machine learning and probabilistic modeling, producing theoretical results and working on practical projects for the industry.

Sergey Nikolenko is currently serving as the Chief Research Officer at Neuromation, leading the Artificial Intelligence Lab at the Steklov Mathematical Institute at St. Petersburg, and teaching at the St. Petersburg State University and Higher School of Economics. Dr. Nikolenko has published more than 170 research papers on machine learning (ICML, CVPR, ACL, SIGIR, WSDM...), analysis of algorithms (SIGCOMM, INFOCOM, ICNP…), and other fields, several books, including a bestselling “Deep Learning” book (in Russian), lecture courses in ML, DL, other fields of computer science (St. Petersburg State University, NRU Higher School of Economics...) and much more. He has extensive experience in managing research and industrial AI/ML projects.

Education

  • 2000 - 2005

    Ph.D.

    Steklov Mathematical Institute

  • 2009

    Master Degree

    St. Petersburg State University

  • 1999 - 2000

    Bachelor Degree

    Pskov Polytechnical Institute

Publications

  • vol. 58, no. 2, 2016, pp. 322-344

    K. Kogan, A. Lòpez-Ortiz, S.I. Nikolenko, A.V. Sirotkin. Online Scheduling FIFO Policies with Admission and Push-Out.

    Theory of Computing Systems

  • vol. 55, pp. 546–558, 2016

    D. Ignatov, S.I. Nikolenko, T. Abaev, J. Poelmans. Online Recommender System for Radio Station Hosting Based on Information Fusion and Adaptive Tag-Aware Profiling.

    Expert Systems with Applications

  • 2018

    P. Chuprikov, S.I. Nikolenko, K. Kogan, A.P. Davydow. Priority Queueing for Packets with Two Characteristics

    IEEE Transactions on Networking, vol. 26, no. 1, pp. 342–355

  • 2016

    K. Kogan, D. Menikkumbura, G. Petri, Y. Noh, S.I. Nikolenko, P. Eugster. BASEL (Buffering Architecture SpEcification Language).

    Proc. 12th ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS 2016)

  • 2016

    S.I. Nikolenko, K. Kogan, G. Retvari, E.R. Berczi-Kovacs, A. Shalimov. How to Represent IPv6 Forwarding Tables on IPv4 or MPLS Dataplanes.

    Proc. 2016 IEEE Conference on Computer Communications Workshop GI 2016: 9th IEEE Global Internet Symposium (IEEE GI 2016)

  • 2015

    K. Kogan, S.I. Nikolenko, O. Rottenstreich, W. Culhane, P. Eugster. Exploiting Order Independence for Scalable and Expressive Packet Classification.

    IEEE Transactions on Networking, published online ahead of print

  • 2015

    S.I. Nikolenko, O. Koltsova, S. Koltsov. Topic Modelling for Qualitative Studies.

    Published online ahead of print, Journal of Information Science

  • 2017

    P. Eugster, K. Kogan, S.I. Nikolenko, A.V. Sirotkin. Heterogeneous Packet Processing in Shared Memory Buffers

    Published online ahead of print, Journal of Parallel and Distributed Computing

  • 2016, pp. 1029–1032

    S.I. Nikolenko. Topic Quality Metrics Based on Distributed Word Representations.

    Proc. 39th International ACM SIGIR Conference on Research and Development in Information Retrieval ( SIGIR 2016)

  • vol. 14, 2017, pp. 57–60

    A. Palmer, P. Phapale, I. Chernyavsky, R. Lavigne, D. Fay, A. Tarasov, V. Kovalev, J. Fuchser, S.I. Nikolenko, C. Pineau, M. Becker, T. Alexandrov. FDR-controlled metabolite annotation for high-resolution imaging mass spectrometry

    Nature Methods

  • vol. 74, 2016, pp. 31–43

    K. Kogan, A. Lòpez-Ortiz, S.I. Nikolenko, G. Scalosub, M. Segal. Large profits or fast gains: A dilemma in maximizing throughput with applications to network processors.

    Journal of Network and Computer Applications

  • vol. 24, no. 2, 2016, pp. 1251–1264

    K. Kogan, S.I. Nikolenko, O. Rottenstreich, W. Culhane, P. Eugster. Exploiting Order Independence for Scalable and Expressive Packet Classification.

    IEEE Transactions on Networking

  • vol. 14, no. 9, 2017, pp. 3098–3104

    A. Kadurin, S.I. Nikolenko, K. Khrabrov, A. Aliper, A. Zhavoronkov. druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico

    Molecular Pharmaceutics

  • vol. 25, no. 6, 2017, pp. 3309–3322

    K. Kogan, S.I. Nikolenko, P. Eugster, A. Shalimov, O. Rottenstreich. Efficient FIB Representations on Distributed Platforms

    IEEE Transactions on Networking

Courses by Sergey

Data Science

Neural Networks and Computer Vision (2025)

08 June - 26 June 2026

Barcelona

Data Science

Neural Networks and Computer Vision (2025)

12 Jan - 30 Jan 2026

Bangkok

Data Science

Neural networks and Computer Vision (2024)

19 May - 06 June 2025

Barcelona

Data Science

Neural Networks and Computer Vision (2024)

13 Jan - 31 Jan 2025

Bangkok

Data Science

Neural networks and Computer Vision (2023)

20 May - 07 June 2024

Barcelona

Data Science

Neural Networks and Computer Vision (2023)

08 Jan - 26 Jan 2024

Bangkok

Data Science

Neural networks and Computer Vision (2022)

22 May - 09 June 2023

Barcelona

Data Science

Neural networks and Computer Vision (2021)

23 May - 10 June 2022

Barcelona

Data Science

Neural networks and Computer Vision (2020)

24 May - 11 June 2021

Online

Data Science

Neural networks and Computer Vision (2019)

18 May - 05 June 2020

Barcelona

Data Science

Neural Networks and Computer Vision (2018)

20 May - 07 June 2019

Barcelona

Data Science

Text Mining & Translation

08 Jan - 26 Jan 2018

Barcelona

Data Science

Combinatorics and Graphs

08 Jan - 26 Jan 2018

Barcelona

Data Science

Mathematical Foundations of Computing

06 Nov - 24 Nov 2017

Barcelona

Data Science

Neural Networks and Deep Learning

06 Nov - 24 Nov 2017

Barcelona

Data Science

Advanced Machine Learning

10 Apr - 21 Apr 2017

Barcelona

Data Science

Master's Machine Learning

13 Mar - 31 Mar 2017

Barcelona

Maths as a Second Language

Counting + Elementary Probability

13 Mar - 31 Mar 2017

Barcelona

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