• 55 Citations
  • 5 h-Index

Research output per year

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Personal profile

Google Scholar h-Index

6 Last checked 30 June 2020


After gaining a degree in Mechanical Engineering from Manchester Metropolitan University, my early career was spent in the automotive industry, initially in testing and homologation of specialist vehicles and then as a design engineer developing steering and suspension for commercial vehicles. During this period I worked for an engineering consultancy and gained experience working with major clients such as Volvo and on secondment at Leyland DAF Trucks.

In 1998 I moved to Manchester Metropolitan University to become the first member of staff at the newly formed Rail Technology Unit. I have subsequently built up a wide range of skills and experience in the field of railway vehicle rigid multi-body dynamics and wheel-rail interface engineering. I have led a range of industrial R&D projects in these specialised areas for the rail industry on-behalf of clients in the UK and worldwide.

Through involvement in a number of research projects I have developed specialist knowledge of rail rolling contact fatigue (RCF) and have led several projects for the Rail Safety and Standards Board researching the fundamental causes of RCF and the application of a range of control measures to be adopted by the industry.

I joined the University of Huddersfield in July 2012 where I am Assistant Director of the Institute of Railway Research.

Research Expertise and Interests

  • Wheel and rail wear, defects and rolling contact fatigue
  • Railway asset management
  • Improving rail vehicle dynamic performance, including active suspensions
  • Wheel-rail interface condition monitoring and inspection
  • Use of big data to improve railway operations and safety (SPADs and driver competence)

Research Degree Supervision

Click Here to see all postgraduate research opportunities with Dr Julian Stow

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Research Output

  • 55 Citations
  • 5 h-Index
  • 11 Article
  • 5 Conference contribution
  • 1 Chapter

Controlling a Rail Vehicle with Independently-Rotating Wheels

Farhat, N., Ward, C., Shaebi, O., Crosbee, D., Stow, J., Wang, R., Goodall, R. & Whitley, M., 14 Feb 2020, Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden. Klomp, M., Bruzelius, F., Nielsen, J. & Hillemyr, A. (eds.). Springer, p. 31-39 9 p. (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Improved Modelling of Trains Braking Under Low Adhesion Conditions

    Alturbeh, H., Lewis, R., Six, K., Trummer, G. & Stow, J., 2 Jul 2020, In : Tribology - Materials, Surfaces and Interfaces. 14, 3, p. 131-141 11 p.

    Research output: Contribution to journalArticle

  • Open Access
  • 2 Citations (Scopus)
    3 Citations (Scopus)

    A method for classifying red signal approaches using train operational data

    Zhao, Y., Stow, J. & Harrison, C., 1 Dec 2018, In : Safety Science. 110, Part B, p. 67-74

    Research output: Contribution to journalArticle

    Open Access
  • 1 Citation (Scopus)


    • 1 Oral presentation

    Wheel Wear and Rail Damage Prediction for Wheels Turned with Thin Flanges

    Yousif Muhamedsalih (Speaker), Adam Bevan (Speaker) & Julian Stow (Speaker)

    29 May 2016

    Activity: Talk or presentation typesOral presentation

    Press / Media

    Red Signal Faults Could Be Reduced Further Thanks to Big Data Software

    Yunshi Zhao & Julian Stow


    2 items of Media coverage

    Press/Media: Expert Comment