Pietro Borghesani

Associate Professor Pietro Borghesani is affiliated with the School of Engineering and the Department of Mechanical and Manufacturing Engineering at the University of New South Wales (UNSW). He holds an Associate Professor rank and focuses on asset health monitoring, vibration sensing, signal processing, and machine learning applications in mechanical systems. His research spans aerospace and rail industries, emphasizing condition-based maintenance optimization and fault diagnostics.

Education: PhD in Mechanical Engineering (2013, Politecnico di Milano), postdoctoral work at Politecnico di Milano, and prior experience at McKinsey & Co. as a business analyst consultant.

Research interests include:

• Health monitoring of rotating machinery
• Signal processing for diagnostics
• Machine learning in condition assessment
• Wear mechanisms in gears and bearings
• Integration of physics-based models with AI

Publications highlight advancements in neural network explainability, vibration-based diagnostics, and cepstral analysis. His work bridges signal processing with tribology and mechanical systems.

Grants include projects on railway track geometry monitoring (LP200100382), sugar industry maintenance (LP150100545), and aero-engine bearing health (LP180101161). He is an Editorial Board Member for Mechanical Systems and Signal Processing and a member of the International Society for Engineering Asset Management (ISEAM).

Labs/Teams: Collaborations with Australian/international companies in aerospace and rail sectors; involvement in experimental setups for vibration and acoustic emission studies.