Institute of Information Theory and Automation

Artificial Intelligence is a transformative field focused on developing algorithms and models that enable machines to perform tasks typically requiring human intelligence. We integrate AI into all research areas pursued within the Institute, specializing in machine learning, natural language processing, knowledge representation, econometrics, and computer vision.

Signal and Image Processing is a field that focuses on the analysis, transformation, and interpretation of signals and images to extract meaningful information. We are engaged namely in texture analysis, image restoration, blind deconvolution, superresolution, and video tracking, and we also transfer the developed algorithms to embedded devices.

Systems Science is an interdisciplinary field that studies complex, dynamic and adaptive systems, their behavior, and the principles governing their structure, functioning, and evolution. It provides a holistic framework for understanding how different components within a system interact to produce the system's overall behavior.

Applied Mathematics is a huge field where mathematical methods are applied in various areas of human activity. We are involved namely in probability theory, applied statistics, data and analysis, calculus of variations, optimization theory, continuum mechanics, and econometrics.