About
Karol Puchała is a Researcher at the Department of Systems and Computer Networks, Faculty of Information and Communication Technology, Wrocław University of Science and Technology. He works on computer networks and machine learning, focusing on routing algorithms, concept drift detection, and software-defined networking.
His research interests include:
- Ensemble methods in machine learning
- Network protocol simulation
- Feature extraction for multitask recognition
- Multicast/unicast flow optimization
- Software-defined networking experimentation
His publications span 2006–2017 and demonstrate expertise at the intersection of network engineering and machine learning, with recurring themes in protocol analysis, adaptive systems, and algorithmic network design.
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