Key Researchers
Professor Jerome Antoni (INSA-Lyon), with more than 20 years’ research experience in the field of vibrations and acoustics. His main interest is the development of physics-based signal processing methods, with applications to vibration-based condition monitoring and inverse problems in acoustics.
Associate Professor Pietro Borghesani (UNSW) has more than 10 years’ experience (Politecnico Milano, QUT, UNSW) in vibration-based condition monitoring of machine elements, and multiple projects conducted with Australian and international firms, in the sectors of power generation, renewables, rail transportation and aerospace.
Assistant Professor François Girardin (INSA-Lyon), with more than 10 years’ experience in condition monitoring. His main contributions relate to the monitoring of rotating machinery through vibration and angular velocity measurements, in the fields of manufacturing, transport, and aeronautics.
Associate Professor Quentin Leclere (INSA-Lyon), specialised in experimental vibration and acoustics. His main research interests concern the interpretation of measurements collected using multi-sensor devices, with applications to source/structure/material characterisation and condition monitoring.
Professor Zhongxiao Peng (UNSW) has more than 20 years’ research experience in the field of wear analysis and machine condition monitoring. Her main research interests include image-based quantitative analysis of wear in mechanical and bio-engineering systems, integration of multiple techniques for machine health monitoring, and development and application of artificial intelligence for prediction of the performance and remaining useful life of mechanical systems.
Em/Professor Robert (Bob) Randall (UNSW), a recognised world leader in machine condition monitoring with extensive industrial (17 years at Bruel&Kjaer) and academic (UNSW since 1988) experience. His work has shaped the current generation of industrial practice in the field of vibration-based condition monitoring. He has worked with players in a series of different industries.
Dr Wade Smith (UNSW) has more than 15 years’ research experience (UTS, UNSW), including 10 years with the UNSW Tribology and Machine Condition Monitoring group. His main research interests include gear and bearing diagnostics, including high- and variable-speed applications, development of digital twins for the tracking and prediction of machine degradation and the development of novel experimental approaches for condition monitoring research.
