Skip to main content

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.

We collaborate with

Latest news

BRICS STI Project was supported
The joint China-India-Russia Project "Math Modeling and Control Methods for Cyber-Physical Systems in Multi-Energy Micro Grids" was selected by BRICS STI Framework Program. The project research consortium involves China South University, IIT-Roorkee, and Energy Systems Institute of SB RAS.
Aleksei Zhukov has successfully defended his PhD thesis
Research fellow of Industrial Maths Lab of Baikal Institute BRICS Aleksei Zhukov has successfully defended his PhD thesis "Methods of classification and regression based on decision trees with application to the problem of assessing the EPS reliability". Congrats! The thesis is publicly available here.