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Personal profile

Research interests

Evgeny Burnaev obtained his MSc in Applied Physics and Mathematics from the MIPT in 2006. After defending PhD thesis in Foundations of Computer Science at the Institute for Information Transmission Problem in 2008, Evgeny stayed with the Institute as a head of Data Analysis and Predictive Modeling Lab.

Since 2007 Evgeny Burnaev carried out a number of successful industrial projects with Airbus, SAFT, IHI, and Sahara Force India Formula 1 team among others. The corresponding data analysis algorithms, developed by Evgeny Burnaev and his  scientific group, formed a core of the algorithmic software library for metamodeling and optimization. Thanks to the developed functionality, engineers can construct fast mathematical approximations to long running computer codes (realizing physical models) based on available data and perform design space exploration for trade-off studies. The software library passed the final Technology Readiness Level 6 certification in Airbus. According to Airbus experts, application of the library “provides the reduction of up to 10% of lead time and cost in several areas of the aircraft design process”. Nowadays a spin-off company Datadvance develops a Software platform for Design Space Exploration with GUI based on this algorithmic core.

Academic Reputation and Societal Impact

Evgeny Burnaev manages ADASE group, which is one of few scientific teams capable not only to make ML research and write papers, but also have extensive industrial experience and experience of collaboration with big companies. 

Also, the list of ML topics on which the ADASE group is working covers significant number of modern ML engineering application in Industrial Predictive Analytics and related fields including medical applications.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


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