Biography
Paweł Kasprowski, Ph.D., Professor at the Silesian University of Technology, has been working for many years on problems related to data processing and analysis. He has extensive practical experience in issues concerning the collection and storage of various types of data, as well as their advanced analysis using statistical and artificial intelligence methods.
The primary focus of his research is on analyzing the eye movement signal. At the Silesian University of Technology, he serves as the deputy head of the Department of Applied Informatics. He is also the University coordinator of the Priority Research Area of Artificial Intelligence and Data Processing.
Keynote Abstract
The ability to uncover characteristics based on empirical measurements is an important step in understanding the underlying systems that produce the observed time series. This is especially important for biological signals, whose characteristics result from the dynamics of physiological processes. Chaotic behavior is one of the most important characteristics of biological time series. This term describes irregular and, over long periods, unpredictable types of dynamics occurring in a deterministic system. It manifests in the system's extreme sensitivity to initial conditions.
Biological signals exhibiting chaotic behavior are considered to ensure flexibility, so measured chaos is typically viewed as a positive symptom. The topic of the speech will be an overview of potential applications of chaos detection and methods of chaos estimation, taking into account recent findings.
