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  3. Vyacheslav Potekhin
Vyacheslav Potekhin
Vyacheslav Potekhin

Candidate of Technical Sciences

Director - Northwestern Interuniversity Regional Educational and Scientific Center "Polytech-Cyberphysics"

Associate Professor - Higher School of Management of Cyber-physical Systems"

Peter the Great St. Petersburg Polytechnic University

English proficiency:

Fluent

Research projects:

  • Intelligent control algorithms
  • Adaptive intelligent manufacturing control systems
  • Aspects of smart manufacturing via agent-based approach

Research topics:

  • Development of an adaptive deep learning controller for a PID process
  • Smart energy control of an isolated power grid
  • Development of an architecture for digital twins of control systems
  • Industrial IIoT networks, collection and processing/analysis of big data
  • Integration with information systems and development of software for controlling robots and complexes

Field of study:

Automated control systems

Research interest:

  • Development of cyberphysical systems, implying a tight interaction between humans and robots, is certainly modern trend.
  • Cyberphysical systems affect production processes to the extent that they are compared with the Indusry 4.0.
  • Basic research develops innovative technologies, software and hardware solutions for industrial automation and high-tech control systems

Specific requirement:

  • Industrial electronics
  • Mechatronic systems
  • Robotic systems
  • Industrial Internet of Things

Main publications:

  • MDFT-GAN: A Multi-Domain Feature Transformer GAN for Bearing Fault Diagnosis Under Limited and Imbalanced Data Conditions, C Guo, VV Potekhin, P Li, EA Kovalchuk, J Lian, Applied Sciences 15 (11), 6225, 2025.
  • The improved mountain gazelle optimizer for spatiotemporal support vector regression: a novel method for railway subgrade settlement prediction integrating multi-source information, G Chen, S Zhao, P Li, S Wang, X Zhou, V Potekhin, Applied Intelligence 55 (6), 1-20, 2025
  • Fault localization using sliding adaptive data segmentation and improved k-nearest neighbour with application to railway track circuits, S Zhao, G Chen, P Li, J Shi, V Potekhin, Computers and Electrical Engineering 122, 109929, 2025
  • POSSIBILITIES OF UTILIZING ARTIFICIAL INTELLIGENCE FOR CONTROLLING TECHNICAL PARAMETERS OF PRIMARY AND SECONDARY COOLING CIRCUITS OF VVER-1000 (1200) NUCLEAR REACTORS, VV Potekhin, A Bahrami, A Mishra, Annals of DAAAM & Proceedings 35, 2024