Education: Skolkovo Institute of Science and Technology (Data Science, MSc), Higher School of Economics (Mathematics, BSc);
Research Group: Applied Information Theory group, CDISE;
Research interests: Information theory, Coding theory, Statistics, Algebra;
Thesis title: Design, Analysis and Decoding of Polar Codes for Single- and Multi-Users Channels.
Marshakov E., Balitskiy G., Andrew K., Frolov A. A Polar Code Based Unsourced Random Access for the Gaussian MAC // In Proc. 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), September 22-25, Honolulu, Hawaii, USA, pp. 1-5.
Design and Decoding of Polar Codes for the Gaussian Multiple Access Channel // 2019 European School of Information Theory (ESIT).
Head of Research Group on Signal Processing