Viacheslav Osaulenko

Viacheslav Osaulenko

Ph.D.

Languages for professional communication:

English

Description of the field of scientific research:

Viacheslav is researching models of neuroplasticity in spiking neural networks and models of associative memory. He studies information encoding in neural networks and is also interested in computational principles of attention and environment modeling for control tasks.

List of duties:

Viacheslav is a researcher at the Institute for Applied System Analysis at Igor Sikorsky Kyiv Polytechnic Institute. This is a dual-subordination structure in conjunction with the Academy of Sciences. The main activity is related to understanding the brain's computational principles and using them to improve existing algorithms in computer vision, machine learning, and autonomous drone control.

Professional experience:

From 2009 to 2015, Viacheslav studied at the Department of Applied Physics at Igor Sikorsky Kyiv Polytechnic Institute. From 2015 until 2019, he was a graduate student in artificial intelligence.

At the same time, in 2017, he completed an internship at the LORIA Research Laboratory in the Department of Complex Systems, Artificial Intelligence, and Robotics. In 2018, he was a researcher at Kalamazoo College, Michigan, USA.

From 2020 to 2023, Viacheslav was a researcher at Igor Sikorsky Kyiv Polytechnic Institute, working in autonomous drone control.

In addition, in 2018-2019, Viacheslav was a member of the International Neural Networks Society (INNS) and the Ukrainian Society of Neuroscience. Also, from 2020 to 2023, Viacheslav was a member of the educational subgroup of the Artificial Intelligence Committee at the Ministry of Digital Transformation.

Keywords:

  • Science popularization

  • Information technologies

  • Artificial intelligence

  • Science communications

  • Commodity science

Basic scientific publications:

  • Increasing Capacity of Association Memory by Means of Synaptic Clustering

    Osaulenko, V., Girau, B., Makarenko, O., & Henaff, P. (2019). Increasing capacity of association memory by means of synaptic clustering. Neural Processing Letters, 50, 2717-2730.

    Role: Author

  • Expansion of Information in the Binary Autoencoder With Random Binary Weights

    Osaulenko, V. M. (2021). Expansion of Information in the Binary Autoencoder With Random Binary Weights. Neural Computation, 33(11), 3073-3101.

    Role: Author

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