Sergey Nikolenko
Data science

Sergey Nikolenko

Current position
PhD, Chief Research Officer at Neuromation, Laboratory Head at Steklov Mathematical Institute, Associate Professor at St. Petersburg State University
Skills
Machine Learning
Algorithms for Networking
Bioinformatics
Mathematical Modeling
Theoretical Computer Science

Personal web
http://logic.pdmi.ras.ru/~sergey/
Social

THE COURSES

About

Sergey Nikolenko is a computer scientist with wide experience in machine learning and data analysis, algorithms design and analysis, theoretical computer science, and algebra. He graduated from the 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, Dr. Nikolenko has been interested in machine learning and probabilistic modeling, producing theoretical results and working on practical projects for the industry.

He 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 150 research papers, including top computer science journals and conferences and several books, including a bestselling "Deep Learning" book (in Russian).

Experience

Chief Research Officer
Neuromation
2017 – Present

Senior Researcher
National Research University Higher School of Economics
2013 – Present | St. Petersburg, Russian Federation

Researcher
Steklov Mathematical Institute
2008 – Present | St. Petersburg, Russian Federation

Adjunct Professor
Academic University
2008 – Present | St. Petersburg, Russian Federation

Senior Data Scientist
Deloitte Analytics Institute, Deloitte
2015 – 2016 | Moscow, Russian Federation

Research Director
Surfingbird
2011 – 2014 | Moscow, Russian Federation

Senior Researcher
Algorithmic Biology Lab, Academic University
2011 – 2012 | St. Petersburg, Russian Federation

Senior Researcher
Speech Technology Center
2008 – 2010 | St. Petersburg, Russian Federation

Assistant Professor
SPSU IFMO
2006 – 2010 | St. Petersburg, Russian Federation

Engineering intern
Google Inc
2006 – 2007

Education

Steklov Mathematical Institute
Ph.D
2000-2005

St. Petersburg State University
Master Degree
2009

Pskov Polytechnical Institute
Bachelor Degree
1999-2000

Books

  • S.I. Nikolenko, A. Kadurin, E. Arkhangelskaya. Deep Learning. St.-Petersburg, 2017
  • A. L. Tulupyev, S. I. Nikolenko, A. V. Sirotkin. Bayesian Networks: A Probabilistic Logic Approach. St.-Petersburg, Nauka, 2006 (in Russian).
  • A. L. Tulupyev, S. I. Nikolenko, A. V. Sirotkin. Bayesian Belief Networks: Logical-Probabilistic Inference in Acyclic Directed Graphs. St.-Petersburg State University Publishing, 2009 (in Russian).
  • A. L. Tulupyev, S. I. Nikolenko. Learning Systems. Moscow, MCCME Press, 2009 (in Russian).
  • S. I. Nikolenko. Provably Secure Constructions in Cryptography. Lambert Academic Publishing, 2011.
  • S.I. Nikolenko. Mechanism design theory. Moscow, INTUIT, 2009 (in Russian).

SELECTED Publications

  • 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. 58, no. 2, 2016, pp. 322-344.
  • 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, vol. 55, pp. 546–558, 2016.
  • 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, 2018, pp. 342–355
  • 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), 2016.
  • 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, 2015.
  • 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, 2017
  • 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), 2016, pp. 1029–1032
  • 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. 14, 2017, pp. 57–60.
  • 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. 74, 2016, pp. 31–43
  • 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. 24, no. 2, 2016, pp. 1251–1264
  • 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. 14, no. 9, 2017, pp. 3098–3104
  • K. Kogan, S.I. Nikolenko, P. Eugster, A. Shalimov, O. Rottenstreich. Efficient FIB Representations on Distributed Platforms. IEEE Transactions on Networking, vol. 25, no. 6, 2017, pp. 3309–3322

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