Michał Panek

Michał Panek is a researcher at the Department of Computer Systems and Networks, Faculty of Computing, Wroclaw University of Science and Technology. He is a member of the Machine Learning Team (ZUM) and actively contributes to research in optimization and machine learning applications in networking.

His research interests include:

• Machine Learning in cellular networks
• Multi-criteria and many-objective optimization
• Evolutionary algorithms with gene-linkage techniques
• Application-aware multi-layer network optimization
• Classifier training using optimization methods

The research projects he is involved in focus on developing advanced general-purpose optimizers (Dark-Box Optimization), evolutionary methods for high-dimensional multi-criteria problems, and performance analysis for wireless network automation. These projects reflect a strong interdisciplinary trend combining computer science, optimization theory, and telecommunications engineering.

Michał Panek serves as a supervisor for diploma theses and is engaged in teaching activities. He is currently completing his doctoral studies, with a thesis titled "Machine Learning-based performance analysis to enhance the wireless network automation," supervised by Prof. Michał Woźniak and Prof. Ireneusz Jabłoński. The defense is scheduled for March 18, 2025.

He is involved in key research teams including:

• Machine Learning Team
• Teaching Team
• Computer Networks Team
• Advanced Data Analysis Methods Team
• Metaheuristics Team