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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 Noeiaghdam delivers the keynote speech of the CAMMIC, Shanghai, China
Professor Samad H. Noeiaghdam delivers the keynote speech "Dynamical Model of Supply and Demand of Energy for Solar Farms" 5th Intl Conference on Applied Mathematics, Modelling & Intelligent Computing, Shanghai, China, organised by Shanghai University, March 21-23, 2025. More details on the conference program: www.cammic.org. Congrats!
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 article of the postgrad Ming Dao accepted for publication
The article of Mr. Ming Dao "Kolmogorov-Arnold Neural Networks Technique for the State of Charge Estimation for Li-Ion Batteries" was accepted and published in Series «Mathematical Modelling, Programming & Computer Software» of the South Ural State University Bulletin. Congrats!