Matej Kloska

Research areas: machine learning, anomaly detection

Position: Research Engineer

Matej is a research engineer focused on anomaly detection using statistical approach with emphasis on model explainability and human-in-the-loop. He worked on multiple projects in the energy domain and is interested in developing environmentally friendly solutions for the future.

Matej holds a master’s degree in Intelligent Software Systems from the Faculty of Informatics and Information Technologies STU. After graduating, he worked in two international companies where he applied his knowledge in data engineering and further strengthened his industry knowledge on data engineering management. He works on his PhD thesis in the field of Knowledge-based anomaly detection.