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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

Prof Aliona Dreglea joined the Mathematics (Q1) Editorial Board
Prof Aliona Dreglea joined the Editorial Board of Mathematics Journal as Topical Advisory Panel Member.Mathematics is a scientific journal that undergoes peer review every two weeks and is open-access. It addresses all areas of pure and applied mathematics, featuring theoretical and experimental research articles, brief communications, and review p...Read more
The joint seminar with HIT and IM HAS was conducted
The joint seminar INRTU, HIT and Henan Academy of Sciences (China) was conducted. The talk "Application of FINN for modeling energy supply and demand dynamics" by PhD student Mr Vo Van Truong from INRTU was delivered.