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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 conference paper on SoC estimation for ZnBr flow batteries was published by IEEE
The collaborative conference paper "Accurate SOC Estimation for Zinc–Bromine Flow Batteries Under Sampling Mismatch Using an Improved Adaptive Extended Kalman Filter" by K. Peng, L. Wang, D. Sidorov and A. Dreglea was published in the proceedings of 6th International Conference on Clean Energy and Electric Power Engineering (IEEE ICCEPE, Yangzhou...Read more
The research is published in Computation Journal
The article "Numerical solution of locally loaded Volterra integral equations" by PhD student V.Byankin et al was published in Computation Journal. Congrats! Journal Rank: JCR - Q2 (Mathematics, Applications) / CiteScore - Q1 (Applied Mathematics)
Professors named among World’s Top 2% of Scientists
Professor of Russian Academy of Sciences Denis Sidorov and Professor of Henan Academy of Sciences (China) Samad Noeiaghdam have been recognized in the prestigious "World's Top 2% Scientists" list in fields of General Mathematics and Energy, compiled by Stanford University and published by Elsevier. Congrats!
The paper is accepted for ICEMS-2025
The manuscript "Impact of Greedy Energy Storage Operation on Power System Stability: A Prosumer-Centric Approach" by Beopsoo Kim, Nikita Rusetskii, Denis Sidorov, and Insu Kim is accepted for ICEMS-2025