New discoveries tend to generate hype. It has become a common habit to worry about excessive use of technology and succumb to the fear that it may disturb our lives. And the image processing technology seems to be the talk of the town…
Evgeny Burnaev, an associate professor at Skoltech, will go online to discuss machine learning and related topics. He will talk about algorithms underlying deep neural networks and how they can be used to process 2D images and 3D scans captured by unmanned vehicles’ lidars, smartphone cameras and medical scanners.
Evgeny Burnaev is an associate professor at the Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE). Evgeny holds a PhD degree in Physics and Mathematics and a Master’s degree in applied physics and mathematics from the Moscow Institute of Physics and Technology (MIPT). Before joining Skoltech, he directed the Laboratory of Data Mining and Predictive Modeling at the Institute for Information Transmission Problems of RAS (IITP RAS).
Evgeny participated in a variety of projects with Airbus, SAFT, IHI, Sahara Force India Formula 1 team and more. Currently, he leads the scientific group on Advanced Data Analytics in Science and Engineering at Skoltech. His research interests include the development of deep neural network training models and methods for predictive analytics and 3D computer vision tasks, including the processing of medical images.
Burnaev is the winner of the Moscow Government Award for Young Scientists in the “Data transfer, storage, processing and protection” category within the topic “Development of predictive analytics methods in the processing of industrial, biomedical and economic data”.