The PHM 2026 Conference invites tutorial proposals designed to provide a comprehensive learning experience tailored to beginners, researchers, practitioners, and decision-makers alike. These tutorials should offer an in-depth introduction to specific topics of interest, covering the full spectrum of the discipline from foundational principles to disruptive new technologies. For more information or to volunteer as a speaker, please contact Kai Goebel at tutorials@phmconference.org.

We seek proposals that address a wide range of PHM aspects, including but not limited to:

• Large Language Models (LLMs) and Generative AI for maintenance support
• Physics-Informed Machine Learning (PIML)
• Explainable AI (XAI) & Uncertainty Quantification (UQ)
• Edge AI and TinyML
• Federated Learning
• Synthetic Data & Digital Twin Simulation
• Tactical & Attritable System PHM
• Cyber-Physical Security in PHM

… and other advanced topics. For reference, tutorials from PHM 2025.