Industrial Mathematics Lab
The Industrial Mathematics Laboratory has been in existence since 2020. Today the laboratory provides training the students for different areas: mathematical, statistical desciplines, as well as in the theoretical foundations of machine learning methods, image processing.
Key personnel
Denis Sidorov
Phone
+7 395-250-0646
Mail
contact.dns@ieee.org
Senior Researcher:
Industrial Mathematics Lab
Phone
Mail
Teaching staff
Research projects
- Theory and methods for solving inverse problems, integral and differential equations
- Development of mathematical methods for integrating renewable generation sources and energy storage into modern energy systems
- Theory and methods of machine learning
- Methods of non-destructive testing and processing of signals and images
New releases
Partners
rusal.ru/en/
RUSAL
RUSAL is a leading company in the global aluminum industry, the largest producer of aluminum with a low carbon footprint. For the production of more than 90% of the company's aluminum, electricity from renewable sources is used, and the introduction of innovative and energy-saving technologies allows reducing greenhouse gas emissions at all production stages. This allowed RUSAL to be one of the first in the world to start producing "green" metal, which the company released to the market under the ALLOW brand.
isem.irk.ru/en/
Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences
It is a research institute of scientific interest in theory of creation and management of energy systems, complexes and installations, scientific basis and mechanisms for implementation of energy policy of Russia and its regions, including ensuring reliability of fuel and energy supply and energy security.
idstu.irk.ru/en
Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences
Outstanding graduates
Nguyen Long
AI Lab of INRTU /
Assistant Professor