Biography
Education:
Joel received his B.Eng. (Hons) in Mechatronic Engineering from the University of Newcastle, Australia, in 2013 and was awarded the Dean’s medal and University medal. He received his Ph.D. in Electrical Engineering from the same institution in 2018 for his thesis titled ‘Robust Control of Port-Hamiltonian Systems’.
Teaching:
Joel held a lecturing position at the University of Newcastle, Australia, from 2018 until 2024. During this time, he developed and taught courses on multi-domain system modelling, simulation, embedded systems, robotics and control. He has additionally supervised over 50 honours projects on a broad range of topics related to mechatronics.
Research:
Control theory is concerned with developing algorithms that enable sensing and automation. Examples include the mathematics that govern cruse control in cars or convert GPS signals into a location measurement. Joel’s research is focused on the development of nonlinear control methods that are applicable to physical systems. His research has covered topics such as robust methods for stabilising distributed power grids (eg. Including renewable energy sources) and the addition of integral action methods to systems described using the port-Hamiltonian formalism. Alongside his theoretical research, Joel has extensive consultation experience on industrial automation projects.