Horizon 2020 Marie Skłodowska-Curie Innovative Training Network

Dr. Rasa Remenyte-Prescott

BSc, MSc, PhD, MSaRS
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Dr. Rasa Remenyte-Prescott 2017-09-24T08:13:02+00:00


LRF Lecturer in Risk and Reliability Engineering, Faculty of Engineering                               University of Nottingham (UNOTT)

Role in TRUSS: Leader of WP5 on Rail and Road Infrastructure and Main Supervisor (ESR9)

Area of Expertise:

System reliability; Asset management; Fault diagnostics; Healthcare modelling


Rasa Remenyte-Prescott is The Lloyd’s Register Foundation Lecturer in Risk and Reliability Engineering at the University of Nottingham. Rasa gained BSc and MSc degrees with honour in mathematics from Kaunas University of Technology in Lithuania. Following this Rasa undertook her Doctorate research at Loughborough University on systems reliability modelling of non-coherent systems using the Binary Decision Diagram technique. Rasa’s current research interests involve fault diagnostics techniques and infrastructure asset management methods for railways and highways. She is a member of Safety and Reliability Group at IMechE.

At the time of start of the TRUSS project, Dr. Remenyte-Prescott had completed supervision of 3 PhDs, published 1 book, 14 journal and 24 conference papers.

Selected Research Outputs:

  • Vileiniskis, M., Remenyte-Prescott, R. and Rama, D. (2015), “Fault Detection of Railway Point Systems”, Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, published online 9 February 2015. [DOI]
  • Remenyte-Prescott, R., Andrews, J.D. and Chung, P.W.H. (2010), “An Efficient Phased Mission Reliability Analysis for Autonomous Vehicles”, Reliability Engineering & System Safety, 95(3):226-235. [DOI]
  • Remenyte-Prescott, R. and Andrews, J.D. (2008),“Analysis of Non-coherent Fault Trees Using Ternary Decision Diagrams”, Proceedings of the IMechE, Part O, Journal of Risk and Reliability, 222(2):127-138. [DOI]

In TRUSS, Dr. Remenyte-Prescott supervises “ESR9 – Railway bridge condition monitoring and fault diagnostics”.

Publications in TRUSS (ESR9)