Daniel Johnston

I only joined the department as a member of the teaching team in September of 2023, but have been an undergraduate and then a PhD student here in MAE since 2015. Similarly to my teaching interests, my research has focused on engineering dynamics and control systems design. In particular, I am immensely interested in analytical methods and approximation techniques: with much of my undergraduate work (in years 4 and 5) focusing on Pade-type (rational) approximations and developing mathematical models for a range of interesting dynamical systems. In particular, I looked at applying these interests to contexts such as the Blasius boundary layer model, the classical Van der Pol (VdP) oscillator, a coupled system of VdP oscillators modelling vortex shedding, and a range of non-engineering mathematical models based on subjects such as sports performance and economic modelling. Since then, my PhD work has focused on developing a new approach for obtaining approximate analytical solutions to coupled nonlinear systems. This more recent work has focused on modelling and controlling the FutureForge manipulator developed in a project run by the AFRC/NMIS. All of this considered, I would be excited to supervise projects relating to mathematical modelling, approximation techniques, engineering dynamics and vibration, and control systems design. I have some scope to incorporate projects in these areas into ongoing industrial collaborations and would be keen to do so where appropriate. I am committed to supporting student wellbeing, and have qualifications relating to mental health first aid, so will always do my best to support you in your journey here.