In conjunction with IEEE/IFIP Network Operations and Management Symposium – NOMS 2026 // May 18–22 2026 // Rome // Italy
Defining the Future of Autonomous Networks We are witnessing a paradigm shift. Artificial Intelligence is no longer just an optimization tool; it is becoming the central nervous system of the 6G and IoT era. But as we hand over control to Generative AI, Large Language Models, and Deep Reinforcement Learning, we face a dual challenge: How do we build systems that are truly autonomous, and equally importantly, how do we engineer the lifecycle of the AI itself? AIMLOps 2026 is the premier forum to explore this frontier. We are looking for the boldest ideas—from self-driving network architectures to robust MLOps pipelines—that will define the next decade of network management.
Monday, 18.5.2026
🟨 AIML1 – AI for Management: AI for Cybersecurity, Anomaly Detection, and Explainability
09:00-09:25
Opening
Marc-Oliver pahl (IMT Atlantique), Hanan Lutfiyya (University of Western Ontario), Stuart Clayman (University College London)
09:30 – 09:55
Enabling Latent-Space Alignment for Robust Multi-Class Attack Detection in IoT Environments
Jeffrey Adjei (Dalhousie University), Nur Zincir-Heywood, Malcolm Heywood (Dalhousie University), Biswajit Nandy (Carleton University), Nabil Seddigh (Solana Networks)
10:00 – 10:25
Interpretable Clustering of Anomalous Log Sequences using a SHAP-based Surrogate Framework
Robert Magyar, Marcell Nagy (Budapest University of Technology and Economics), Roland Molontay
☕ 10:30 – 11:00 | Coffee Break
🟦 AIML2 – Management for AI: MLOps / LLM-Ops (AI Lifecycle Management and Operational Platforms)
11:10 – 11:35
Systematic Evaluation and Production Deployment of LLM Inference Platforms: A Comparative Analysis with Operational Validation
Patrick Koss (STACKIT), Manuel Hoffmann (STACKIT), Hans Torben Löfflad (STACKIT)
11:35 – 12:00
Capto: End-to-End Assurance for LLM Training and Inference in Datacenters
Jit Gupta (Juniper Networks), Tarun Banka, Mithun Dharmaraj, Rahul Gupta
12:00 – 12:25
Closing the Loop in Embedded Security: Evolution of an AIOps Framework for Threat Hunting
Mohammed Mezaouli (IMT Atlantique), Yehya Nasser, Samir Saoudi, Marc-Oliver Pahl (IMT Atlantique)
🍽️ 12:30 – 14:00 | Lunch Break
🎤 14:00 – 15:00 | Keynote When Networks Think for Themselves: Who Is in-charge?, Deep Medhi
Abstract: We are approaching a tipping point: networks are no longer just managed—they are beginning to decide, adapt, and act. As Generative AI, foundation models, and reinforcement learning systems move into the control loop, the long-standing vision of autonomic and zero-touch networks is finally within reach. But this shift raises a deeper question—one that goes beyond scalability or efficiency: What does it mean to operate a network that we no longer fully understand? The traditional separation between control logic and management systems is dissolving, replaced by continuously learning, evolving, and potentially opaque decision-making entities. This keynote challenges the community to rethink the foundations of network and service management in an era where AI is not just an optimization layer, but the operational core.
About Deep Medhi
Deep Medhi currently serves as a Program Director at the National Science Foundation (NSF), USA where he helps shape strategic directions in networking, including AI-driven and autonomous systems, and in research infrastructures. His four decades of research spans network routing/design, operations and management. Prior to joining NSF in 2022, he was Curators’ Distinguished Professor at the University of Missouri–Kansas City, from where he retired with an Emeritus status. He has been involved with the NOMS community for a long time and served as a TPC co-chair for IEEE NOMS 2010.
15:00-15:30 | Live Interaction: Structuring the field
☕ 15:30 – 16:00 | Coffee Break
🟩 AIML3 – AI for Management: Generative AI and Foundation Models (LLMs for Network Management and Troubleshooting)
16:00 – 16:25
Gateway-X: LLM-based Autonomous Adaptive Semantic and Syntactic Protocol Translation
Christian Lübben (Technical University of Munich), Marc-Oliver Pahl (IMT Atlantique)
16:30 – 16:55
From Topology to Troubleshooting: Evaluating Multimodal Large Language Models on Network Management
Yongqing Zhu (SUSS)
17:00 – 17:25
Automatic Rule Generation for Network Intent Assurance Using Decision Trees
Michael Franklin Mbouopda (Huawei Technologies Co. Ltd.), Vincenzo Riccobene