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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

CFP: ICPSET 2023
The 2nd Intl Conference on Power Systems and Energy Technology will take place in 18-20 August 2023 in Changsha, China. Conference website : www.icpset.org.
Contributed paper accepted for IFAC World Congress 2023
The manuscript "A Lossless Soft-Switching Boost Converter with Passive Auxiliary Circuit" (Jianghu Wan, Fang Liu, Yong Li and Denis Sidorov) was accepted for IFAC World Congress 2023 in Yokohama, Japan.