On September 19, 2025, MLSysOps was invited to participate in the Workshop on AI Edge Cloud Computing Continuum organized by the European Health and Digital Executive Agency (HaDEA). The event brought together experts from EU-funded Horizon projects to discuss challenges and opportunities in deploying Artificial Intelligence across the cloud–edge continuum, with a particular focus on sustainability, efficiency, and future research directions.

Nikos Bellas of UTH represented MLSysOps and gave a five-minute presentation on the use of Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum. The talk described the project’s vision, ongoing research, and outcomes on ML-based resource optimization and application deployment/execution in heterogeneous Edge-Cloud environments.  He also participated in a panel of experts on Energy Efficiency & Sustainability, which explored ways to balance performance scalability with energy efficiency in AI-driven and data-intensive infrastructures, exploiting the synergy between hardware innovation and software optimization.