Toby Williams

PhD, MEng (Hons) DIS, AMIMechE

  • Doctoral Fellow
Publications
Headshot of Toby, looking and smiling directly into the camera.

Background

Toby is a Doctoral Fellow conducting research in mechatronic systems. His current research includes the development of a solar powered agricultural system for deep bed tilling in sub-Saharan Africa - Aftrak project.

He previously held a Research Associate position at º¬Ðß²ÝÊÓƵ since 2020 over multiple research projects, including the industrialisation of novel fabric dying processes, the analysis of train carriage cleanliness, the system architecture of the wireless charging of electric vehicles, the simulation of and testing of novel detection methods of compartment syndrome in calf muscles, and the development of automated assembly systems for textile manufacturing components.

Qualifications

  • PhD in Mechatronics in Medicine, º¬Ðß²ÝÊÓƵ, 2022: Thesis topic: ‘Detection and location of sub-cranial haematomas using multifrequency electrical impedance tomography’.
  • Mechanical Engineering MEng (Hons) 1st Class, º¬Ðß²ÝÊÓƵ, 2017.

Key awards

  • Milken-Motsepe Prize in Green Energy Global Winner 2023.
  • 1st place abstract competition: Wolfson School’s Doctoral Research Conference 2018.

Research interests

  • Mechatronics in Medicine
  • Mechatronics in Agriculture
  • Machine Vision
  • Medical Imaging

Grants and contracts

  • 2023 – 2024 Innovate UK: AfTrak: Micro solar electric tractor – Named RA.
  • 2021 EPSRC: Simulation and detection of compartment syndrome in leg muscles – Named RA.

Current teaching responsibilities

  • WSC900 – Computer Control and Instrumentation
  • WSC911 – Industrial Machine Vision
  • WSD912 – Mechatronics and Machine Control
  • WSD911 – Industrial Machine Vision with AI

Collaborators

  • Milken Institute
  • Harper Adams University 
  • Tiyeni 
  • Consortium for Battery Innovation (CBI) 
  • Laser Optical Engineering (LOE) 
  • Stretchline 
  • Sprint Power
  • University of Warwick
  • Royal Derby Hospital: The Pulvertaft Hand Centre
  • University of Oxford: Nuffield Department of Clinical Neurosciences 

Selected publications

  • Williams, T., Bouazza-Marouf, K., Zecca, M., & Green, A. L. (2021). ‘Analysis of the validity of the mathematical assumptions of electrical impedance tomography for human head tissues.’ Biomedical Physics & Engineering Express, IOP, 7(2). 
  • Lavin, J., Robus, J., Williams, T., Long, E., Tyrer, J., Spencer, J., Dodds, J., & Jones, L. (2023). ‘Reducing environmental risks in laser cutting: A study of low-pressure gas dynamics.’ Journal of Laser Applications, LIA, 35(4).