Evgeny Osipov
Evgeny Osipov

Evgeny Osipov

Luleå tekniska universitet
Institutionen för system- och rymdteknik
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 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 StateTechnical University, Faculty of Computer Science, Krasnoyarsk, Russia.


Artikel i tidskrift

A Hyperdimensional Computing Framework for Analysis of Cardiorespiratory Synchronization during Paced Deep Breathing (2019)

Kleyko. D, Osipov. E, Wiklund. U
IEEE Access, Vol. 7, s. 34403-34415
Artikel i tidskrift

Guest Editorial (2019)

Special Section on Developments in Artificial Intelligence for Industrial Informatics
de Silva. D, Pang. Z, Osipov. E, Vyatkin. V
IEEE Transactions on Industrial Informatics, Vol. 15, nr. 6, s. 3690-3692
Artikel i tidskrift

Classification and Recall With Binary Hyperdimensional Computing (2018)

Tradeoffs in Choice of Density and Mapping Characteristics
Kleyko. D, Rahimi. A, Rachkovskij. D, Osipov. E, Rabaey. J
IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, nr. 12, s. 5880-5898
Artikel i tidskrift

Hyperdimensional computing in industrial systems (2018)

the use-case of distributed fault isolation in a power plant
Kleyko. D, Osipov. E, Papakonstantinou. N, Vyatkin. V
IEEE Access, Vol. 6, s. 30766-30777
Artikel i tidskrift

Machine learning to support social media empowered patients in cancer care and cancer treatment decisions (2018)

De Silva. D, Ranasinghe. W, Bandaragoda. T, Adikari. A, Mills. N, Iddamalgoda. L, et al.
PLoS ONE, Vol. 13, nr. 10