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Welcome to Machine Learning, Computer Vision, and Dynamic Systems Group

Welcome to Machine Learning, Computer Vision, and Dynamic Systems Group

Contributing to Future Energy using AI & Advanced Mathematics to make Affordable and Sustainable Energy

Learn about us!

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

Irkutsk National Research Technical University
Irkutsk State University
Hunan University
Central South University
Hohai University
Inha University
Huawei
Islamic Azad University
Institute of Control Sciences RAS
ITMO University
Melentiev Energy Systems Institute
Institute of Information Theory and Automation
University College Cork

Latest news

The project was supported by RSF
The project "State-of-the-art methods for non-linear crisp and fuzzy dynamic models: theory and applications" was supported by RSF
Prof. Denis Sidorov is in the top 2% most-cited researchers
Elsevier, jointly with Stanford University recently released list that represents the top 2% of the most-cited scientists in the world in various disciplines. It was created to provide updated analyses and a publicly available database of top scientists. Updated databases are freely available in Mendeley (https://dx.doi.org/10.17632/btchxktzyw...Read more
The invited talk “Control of Community Microgrids with Flexible Multi-energy Sources” was delivered on the 5th IEEE PES Conference on Energy Internet
Prof. Denis Sidorov delivered the invited talk "Control of Community Microgrids with Flexible Multi-energy Sources" (authors: N. Tomin, V. Shakirov, A. Kozlov, V. Kurbatsky, C. Rehtanz and E. E. S. Lora) on The 5th IEEE PES Conference on Energy Internet and Energy System Integration (22-25 Oct. 2021, Taiyuan, China)