Main Areas of Research

Development and analysis of algorithms for constructing optimal experiment designs for convex functionals of information matrices with unknown parameters of static and dynamic models of multi-factor systems.

Development of theoretical principles of the finite element method for solving three-dimensional problems of electromagnetism and heat transfer. Elaboration and study of algorithms for the analysis and design of experiments for distributed systems described by partial differential equations.

Elaboration of criteria for the analysis of local and global identifiability of parameters of models presented in the form of systems of ordinary differential and difference equations.

Development of the theory of stable detection., estimation and filtration of signals.

Development of artificial intelligence systems for the investigation of complex multi-factor systems by means of active experiment methods.

The members of the school collaborate with researchers of leading higher educational institutions in Russia (e.g. Moscow State University (MSU), the Institute of Mechanics in MSU, St. Petersburg State University, Moscow Power Engineering Institute, etc.) as well as with scientists from foreign universities (e.g. Vienna Technical University, Hemnitz-Zwikau Technical University, etc.).