Grzegorz Mzyk

Grzegorz Mzyk is a Professor at Wrocław University of Science and Technology, specializing in control systems and data analysis. His research focuses on developing advanced methodologies for nonlinear system identification and statistical learning, with particular expertise in Hammerstein-Wiener systems, kernel methods, and adaptive control techniques.

His core research interests span:

• System identification: Developing nonparametric methods for complex nonlinear systems
• Adaptive control: Creating robust algorithms for time-varying environments
• Statistical learning: Applying kernel methods and entropic metrics to data analysis
• Cyclostationary analysis: Innovating excitation techniques for dimensionality reduction

Recent publications demonstrate strong focus on:

• Advancing identification techniques for Wiener-Hammerstein systems
• Implementing adversarial training for secure system modeling
• Developing error detection methods for databases using machine learning
• Optimizing procurement strategies through demand forecasting

These works integrate control theory with contemporary machine learning approaches.