We are proud to share that our former MSc student, Róbert Magyar, recently represented HSDSLab at the IEEE/IFIP Network Operations and Management Symposium (NOMS) in Rome, where he gave a presentation at the international workshop on AI-driven network management and MLOps solutions (AIMLOps).

In his talk, Róbert presented research conducted together with his supervisors, Marcell Nagy and Dr. Roland Molontay, entitled "Interpretable Clustering of Anomalous Log Sequences using a SHAP-based Surrogate Framework." The research introduces an interpretable approach to clustering anomalous log sequences, in which a SHAP-based surrogate framework makes the results more transparent and easier to interpret for network operators.

The presentation sparked lively interest and discussion among the international audience, reflecting the relevance and quality of the research within the network management and artificial intelligence community.

Congratulations to Róbert and his co-authors on this outstanding achievement!