Skip to content
Evgeny Osipov
Evgeny Osipov

Evgeny Osipov

Luleå University of Technology
Computer Science
Department of Computer Science, Electrical and Space Engineering
+46 (0)920 491578
A3313 Luleå

General Information

Dr. Evgeny Osipov is a full professor in Dependable Communication and Computation Systems. For more detailed information about professional activities please refer to his personal public web-page.

Research Interests

His main research interests are within the area of wireless networking, bio-inspired approach to machine-to-machine communications and cognitive computing and communicating systems in general.


  • (2005) PhD in Computer Science (predicate “Cum Laude”). University of Basel, Department of Computer Science, Basel, Switzerland.
  • (2003) Licentiate of Technology in Telecommunications. KTH, Royal Institute of Technology, Department of Microelectronics and Information Technology, Stockholm, Sweden.
  • (1999) Pre-doctoral school in Communication Systems. EPFL, Swiss Federal Institute of Technology,  Pre-doctoral school, Lausanne, Switzerland.
  • (1998) Engineer (degree with Honors). KGTU, Krasnoyarsk State Technical University, Faculty of Computer Science, Krasnoyarsk, Russia.


Article in journal

Vector Semiotic Model for Visual Question Answering (2022)

Kovalev. A, Shaban. M, Osipov. E, Panov. A
Cognitive Systems Research, Vol. 71, s. 52-63
Conference paper

Compressed Superposition of Neural Networks for Deep Learning in Edge Computing (2021)

Zeman. M, Osipov. E, Bosnić. Z
Part of: 2021 International Joint Conference on Neural Networks (IJCNN) Proceedings, IEEE, 2021
Article in journal

Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks (2021)

Kleyko. D, Kheffache. M, Frady. E, Wiklund. U, Osipov. E
IEEE Transactions on Neural Networks and Learning Systems, Vol. 32, nr. 8, s. 3777-3783
Conference paper

HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing Enabled Embedding of n-gram Statistics (2021)

Alonso. P, Shridhar. K, Kleyko. D, Osipov. E, Liwicki. M
Part of: 2021 International Joint Conference on Neural Networks (IJCNN) Proceedings, IEEE, 2021
Conference paper

Learning Rule Optimization and Comparative Evaluation of Accelerated Self-Organizing Maps for Industrial Applications (2021)

Gayathri. M, Ariyaratne. A, Kahawala. S, Silva. D, Alahakoon. D, Nanayakkara. V, et al.
Part of: IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 2021