Will is a Senior Lecturer in Mechatronics and Robotics in the School of Mechanical and Manufacturing Engineering, Faculty of Engineering, UNSW Sydney. He received his PhD from Cambridge University, then went on to work for Mitsubishi Heavy Industries in Japan before returning to academia to work at Loughborough University and now working at UNSW Sydney.
Will is interested in using control engineering to help reduce emissions from transport. This has spanned work on modelling and building hydraulic hybrid heavy goods vehicles, using advanced control techniques to reduce the emissions of rail vehicles, optimising the fuel used by plug-in hybrid road vehicles, applying optimisation techniques to determine the best way to electrify railways and using resonant control to reduce the torque ripple produced by permanent magnet synchronous machines (PMSMs - electric motors).
He has also worked on several applications of machine learning (ML) and artificial intelligence (AI) to real-world engineering problems: using machine learning to deduce parameters of vehicles while in motion; developing neural networks to determine a vehicle's speed using machine vision; determining the properties of the road surface ahead of a vehicle using machine learning and machine vision.
For more details, visit his website: willmidgley.com or email him.
If you would like to do a PhD with Will, please get in touch with him.
My Research Supervision
Mohammad Otoofi (Loughborough University, UK) - Computer vision for road surface identification