• Dr Nic Zhang

  • Job Title:

Other key roles

  • Co-Theme Lead for Digital Systems, Optimisation and Integration
  • Lecturer in Data Science and Artificial Intelligence

Research Interests

  • Automated vehicle verification and validation
  • Intentions and interactions of road users
  • Machine learning for powertrain systems

Bio 

Nic is Lecturer in Data Science and Artificial Intelligence at University of Bath. He has a research background in the powertrain systems optimisation and statistical modelling and is leading the workstream of autonomous vehicle verification and validation with a focus on providing credible engineering research to support Connected Automated Vehicle regulations. Before returning to the academia, he worked in the industry for LuK (Schaeffler) in Shanghai, FEV in Aachen and Jaguar Land Rover in Coventry. Under the leadership of the European Automobile Manufacturers’ Association (ACEA), he has worked with OEMs across Europe to support the European Commission GhG regulations.

FunFacts

  • Having worked on a few engine and powertrains with rated power beyond 1 megawatts, I drive a car with 88HP (much lower than that when A/C is on).
  • My own summer project is a multi-sensor stress estimator built on a Raspberry Pi, but it is constantly maxed out during my marking season, which lasts 12 months.

What does being involved in AAPS mean for Nic?

Working with PhD students is the fun part of my daily job. I enjoy supporting young talents into the right careers for each individual and I receive the fresh ideas for my own research.

Key research projects

  • People-Led Digitalisation Centre

Career / Research Highlights and Achievements

Through working with engineers across Europe under ACEA, the calculation tool and technical case studies I created are used to account for incentives for low carbon technologies in the magnitude of billions of Euros every year.

© Copyright 2024 AAPS CDT, Centre for Doctoral Training in Advanced Automotive Propulsion Systems at the University of Bath