• Lukas Macha

  • Theme:Propulsion Electrification
  • Project:Automation of Verification and Validation Processes through Model-based Systems Engineering
  • Supervisor: Chris Brace ,Julian Padget ,Peter Wilson ,Chris Vagg
  • Industry Partner: AVL
  • The Gorgon's Head - Bath University Logo
  • Research journey


Lukas graduated from the University of Derby in 2020 with first-class BEng (Hons) in Motorsport Engineering. During his undergraduate studies he undertook an industrial placement at Jaguar Land Rover working in Prototype Manufacturing where he gained an insight into vehicle manufacturing learned how to apply Lean Manufacturing, assess feasibility of design and gained experience of technical analysis in a fast paced environment of Pilot Operations. He spent the summer of 2019 working in Race Engines and Quality Department at ŠKODA Motorsport where he gained an experience of working in a WRC 2 motorsport team. For his final year project he worked on Hybrid Powertrain Development for WRC 2 Application which mainly involved HEV modelling and simulation studies. He has a range of interests outside of University from training, motorsport, movies, PS4 and more.


  • One of my favourite things to do is to do nothing
  • I used to run a small food kiosk during football games in my home village
  • I once entered a chess tournament. That's about as much as there is worth to say about it
  • I once drove 1500km in a day
  • I wish I had a FAQ forum for my relatives every time I go back home for Christmas

Automation of Verification and Validation Processes through Model-based Systems Engineering

Lukas' PhD aims to use his expertise to accelerate the verification phase of the process, performing elements of the system verification in software that today are performed experimentally. Clearly not all of the system behaviours can be verified in this way, experiments will still be essential. Advanced experimental techniques developed by AVL will be used to allow a mix of physical and simulated components to be tested together in real time, bridging the gap between model based and experimental processes in a way that offers a highly robust and rapid verification process.

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