Senior Research, Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Artificial Intelligence Research Institute, Moscow.

• A method for cluster analysis based on the modified Kohonen neural network with a set of metrics and approaches of clusters initial placement is proposed. The method allows to solve traveling salesman problem, as well as the problem of semi-structured information classification.
• A method allowing to allocate rationally the specified number of points (objects) in a ball, which ensures their uniform (or pseudo-uniform) distribution in a limited space is proposed and nessesary theorems are proved.
• The statements are given and solutions are offered for the basic problems: motion along a given route, formation flight, pursuit of the dynamic target by a group of unmanned aerial vehicles under wind disturbances. For solving the problems we propose the following methods: geometric methods; methods of artificial intelligence (strategies realized by sets of rules, forecasting, behaviour planning) and computer modeling of control processes.
• A set of methods and approaches designed to solve the problems of navigation and control is proposed for its implementation directly in UAV onboard systems. Methods and integer algorithms for fast affine transformations designed to control aircraft drives and video cameras are proposed.

An expert of the National Technical Committee for Standardization "Information Technologies" (TK-22) – a subcommittee on artificial intelligence (TK-164).

The scientific achievements are methods, algorithms and software developed as part of completed and ongoing research projects. The results are presented in the author's publications in highly rated peer-reviewed journals.

Has over 90 scientific publications, including 22 publications indexed by Scopus or Web of Science; 70 publications indexed in RSCI.