School of Mechanical, Electrical and Manufacturing Engineering


Dr Nabilah Farhat BEng PhD

Photo of Dr Nabilah Farhat

Research Associate in Control Systems

Nabilah Farhat is a research associate in control systems engineering at the Wolfson School of Mechanical, Electrical and Manufacturing Engineering. She undertook a PhD on the use of mechatronic rail vehicles on railway track switches to reduce wheel-rail wear and damage. The research, which was based at Loughborough University, was able to show a reduction in track switch wear using mechatronic vehicles ranging from 27 % to 78 % compared to that using conventional vehicles.

She then worked on a project to develop Kalman filters to estimate the required feedback signals for a rail vehicle with motor-driven independently rotating wheelsets. Her other projects include investigating the use of multi-three phase motors on electric vehicles to introduce redundancy and fault tolerance in power electronics.

Currently she is working on a project in collaboration with Ford where she is conducting tests on a dyno rig and developing a high-fidelity model of the motor and drives of an electric vehicle.

Key Awards:

  • Received EU Horizon 2020 funding for my PhD research in addition to a Loughborough University studentship.
  • Awarded runner-up in the best PhD presentation in the UKACC conference.


  • Control applications in electric/ hybrid vehicles
  • High performance control of converters and motor drives
  • Virtual prototyping of power electronics
  • Mechatronic rail vehicles
  • N. Farhat, C.P. Ward, R. Dixon, R.M. Goodall, Benefits of mechatronically-guided vehicles on railway track switches, IMechE Part F Journal of Rail and Rapid Transit, August 2018.
  • N. Farhat, C.P. Ward, R.M. Goodall, R. Dixon, The benefits of mechatronically-guided railway vehicles: a multi-body physics simulation study, IFAC Journal of Mechatronics, Vol. 51, May 2018, pg 115-126.
  • P.D. Hubbard, N. Farhat, C.P. Ward, G.A. Amarantidis, Contact force estimation in the wheel/ rail interface for curving scenarios through regions of reduced adhesion'', IFAC Journal of Mechatronics, Aug 2017.

External Collaborators:

  • Ford
  • Nottingham University
  • Stored Energy Technology (SET), Derby
  • Network Rail