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TrackIQ voestelpine

Adam Bevan

Head of Enterprise

Institute of Railway Research

After graduating with a first class degree in Mechanical Engineering at Manchester Metropolitan University, Adam undertook a PhD research programme investigating the fatigue and durability performance of components using a combination of in-field testing and computer simulation. Following the completion of his PhD in 2004, Adam joined the Rail Technology Unit at Manchester Metropolitan University. During his time at the Rail Technology Unit, Adam built up a wide range of expertise and knowledge in the field of wheel-rail interface engineering, vehicle dynamics simulation and vehicle-track interaction.


This specialist knowledge has been applied to a large number of research projects for key industry stakeholders into the causes, prediction and mitigation of rail and wheel damage. This research has resulted in improved understanding of the vehicle-track characteristics which promote rolling contact fatigue and techniques to reduce its formation.


Adam joined the University of Huddersfield in July 2012 where he is Professor of Railway Systems Engineering at the Institute of Railway Research. Over the last few years he has further extended his research interests into a number of emerging areas including: Asset Management, Smart Maintenance and New Materials.


Adam is a Chartered Mechanical Engineering and a member of the Institution of Mechanical Engineers.

adam bevan
RSM17 Group Discount


Day One

  • Operators case studies on realising the benefits of on-board data to deliver improved maintenance and operational outcomes
  • Examine the business case for implementing artificial intelligence predict faults & improve on-board system reliability
  • Evaluate the future roadmap on retrofitting legacy rolling stock for advanced strategies on retrofitting ageing rolling stock
  • Cost effective integration of IT Systems and databases including identifying and selecting the optimal back end IT & Database

Day Two

  • Strategies on up-skilling fleet maintenance workforce to deliver on investment in new data-driven technologies
  • Managing human factor in the depot and minimise incidents of maintenance and prevent costly errors
  • Examine solutions for addressing obsolescence to efficiently service component and deliver spare parts on time
  • Best practice on planning & optimising the depot and maintenance activities, including integration of new technologies and maintenance practice innovations


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