Ali Al Housseini — Papers on Cortexa

arxivcs.LGcs.NI2026-07-22

Explanation-Based Runtime Verification for Trustworthy ML-driven Optical Networks

Omran Ayoub, Carlos Natalino, Ali Al Housseini, Felix Foschum, Philipp Morger, Tiziano Leidi, et al.

Machine learning (ML) models are increasingly integrated into optical network automation frameworks to support tasks such as failure management, performance monitoring and resource allocation. In these environments, ML-driven predictions may be directly coupled with control-plane…

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arxivcs.NIcs.LG2026-07-22

Cross-Domain Generalization in Optical Networks via Joint Contrastive and Classification Learning

Ali Al Housseini, Carlos Natalino, Paolo Monti, Omran Ayoub

The robustness of machine learning techniques across heterogeneous network domains remains an open challenge in optical networks. Models trained on data from a specific topology or operational configuration often exhibit degraded performance when deployed in unseen networks. In t…

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