IKBFU Scientists took part in an International Symposium in China

IKBFU researchers Alexander Khramov and Andrey Andreev delivered lectures on IUTAM’2023 Symposium on Data-Driven Nonlinear and Stochastic Dynamics with the Control. The event was held in June at Northwestern Polytechnic University in Xian, China. The forum brought together over two hundred participants from 20 countries in Southeast Asia and Europe. Experts discussed the application of artificial intelligence and big data analysis methods, nonlinear and stochastic dynamics theory, and complex network theory to the development of new data-driven mathematical approaches for engineering, biomedical, computer science, and energy problems.

The lecture by Andrey Andreev was devoted to the application of reservoir computing methods for prediction and recovery of latent variable dynamics of complex network structures, which is important for studying a wide range of nonlinear systems — from neural networks of the brain to financial markets. Alexander Khramov gave an overview of the research on enhancing interpretability of machine learning methods as applied to the analysis and classification of graph-oriented methods, conducted at the Baltic Center for Neurotechnology and AI.