Rate My Professor Ilyas Mazhar

Mazhar's research encompasses fault detection in machinery such as rolling element bearings and centrifugal pumps, cavitation sensitivity parameters, torsional stiffness of gears, remanufacturing strategies for small and medium-sized enterprises, and remaining life estimation of used components using methods like Weibull analysis and artificial neural networks. His recent work focuses on microelectromechanical systems (MEMS), particularly vibrating ring gyroscopes designed for harsh environments and space applications, including starfish-shaped two-ring designs and those with worm-shaped support springs. Key publications include 'A vibration cavitation sensitivity parameter based on spectral and statistical methods' (2015, co-authored with McKee, Forbes, Entwistle, and Howard), 'Sustainable Manufacturing for Indonesian Small and Medium sized Enterprises (SMEs): the case of remanufactured tread rubber' (2013, with Fatimah, Biswas, and Islam), 'Lifetime prediction of components for reuse: An overview' (2007), 'Remaining life estimation of used components in consumer products: Life cycle data analysis by Weibull and artificial neural networks' (2005), and more recent papers such as 'Development of Starfish-Shaped Two-Ring Microelectromechanical Systems (MEMS) Vibratory Ring Gyroscope with C-Shaped Springs for Higher Sensitivity' (2022, with Gill, Howard, and McKee) and 'MEMS Vibrating Ring Gyroscope with Worm-Shaped Support Springs for Space Applications' (2022). His scholarly impact is demonstrated by over 1,900 citations on Google Scholar. Mazhar's verified professional email is I.Mazhar@curtin.edu.au.