Nowadays, Evgeny’s research interests encompass the areas of regression based on Gaussian processes for multi-fidelity surrogate modeling and optimization, Deep Learning for 3D Data Analysis and manifold learning, on-line learning for prediction and anomaly detection. The main aim is development of new machine learning methods and their use for solution of applied engineering problems.
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, based on available data and perform design space exploration for trade-off studies.