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Welcome to Machine Learning, Computer Vision, and Dynamic Systems Group

Contributing to Future Energy using AI & Advanced Mathematics to make Affordable and Sustainable Energy

About Group

Our team has many years of experience in international (FP6, FP7, etc.), domestic (FTP, RFBR, RSF, etc.) scientific projects, as well as in a number of commercial R&D projects related to the processing and analysis of multidimensional data set. Group leader is Professor, DSc (Physics & Math) Denis N. Sidorov. Machine learning, computer vision and the theory of dynamical systems are closely related to the theory and methods of solving inverse and ill-posed problems, irregular integral and differential equations and constitute the main areas of scientific interests of our research group.

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Latest news

The paper was submitted to ICEMS-2025
The paper "Impact of greedy energy storage operation on power system stability: a prosumer-centric approach" (B. Kim, N. Rusetskii, D. Sidorov and I. Kim) was submitted to ICEMS-2025 (IEEE International conference on electrical machines and systems), Nov. 16-19 2025, Busan, South Korea.
Two works are accepted for publication in 12th FAFEE 2025
Two works are accepted for publication in 12th Frontier Academic Forum of Electrical Engineering(FAFEE 2025), Xiamen, May 23-25, 2025: Yu Luo, Bichen Chen, Liguo Wang, Denis Sidorov,Aliona Dreglea and Alexey Iskakov. Research on DC Bus Voltage Control Based on Backstepping Control. The 12th Frontier Academic Forum of Electrical Engineering; Jir...Read more