Machinery Advanced Diagnostics – MAD 2026

About

The summer school will feature a comprehensive set of lectures delivered by internationally recognized experts from academia and industry. The program will cover advanced topics including signal processing techniques, probabilistic and data-driven methods, machine learning applications for diagnostics, and modern approaches to predictive maintenance of complex mechanical systems.

The school will include:
• Theoretical lectures on traditional and innovative methods for machine diagnostics
• Thematic technical sessions focusing on real-world industrial applications
• Interactive discussions with speakers and participants
• Opportunities for networking and collaboration among attendees

The MAD Summer School is designed for PhD students, postdoctoral researchers, and professionals working in machinery diagnostics, structural health monitoring, and maintenance engineering. Participants will gain both theoretical insights and practical perspectives on the latest tools and methodologies used in advanced diagnostics.
Registration is now open. The early-bird registration rate is available until May 15th.
Key Information
Location: Genova, Italy
Dates: June 8–12, 2026
Target audience: PhD candidates, academic researchers, and industry professionals

Fee info