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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

PhD Student Vo Van Truong delivered the talk on IEEE ICECET 2026
Mr Vo Van Truong delivered the talk "Numerical solution of differential algebraic and integral algebraic equations for a DC/DC Boost converters by the LSM" on the 6th International Conference on Electrical, Computer and Energy Technologies (ICECET).
The manuscript is accepted for Nature’s Scientific Reports.
The manuscript "Magnetically insulated diode: existence of solutions and complex bifurcation. I" by D.N. Sidorov, A.V. Sinitsyn, O.D. Toledo Leguizamon and L. Wang was accepted for publication by Nature's Scientific Reports.
The manuscript is accepted for publication in Mathematics
The manuscript "An Iterative Method for Solving the Inverse Problem for an Integral Dynamic Model with a Discontinuous Kernel"  (A. Tynda, D. Sidorov, N. Sidorov and A. Dreglea ) is accepted for publication in Mathematics . Congrats!