Publications
Publications
Journal Papers
2018
Qian Fu and John M. Easton. “Prediction of Weather-Related Incidents on the Rail Network: Prototype Data Model for Wind-Related Delays in Great Britain.” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. doi:10.1061/AJRUA6.0000975 available “online first” 19/06/2018, final print version vol. 4, no. 3, June 2018.
Daniel Schober, Daniel Jacob, Michael Wilson, Joseph A. Cruz, Ana Marcu, Jason R. Grant, Annick Moing, Catherine Deborde, Luis F de Figueiredo, Kenneth Haug, Philippe Rocca- Serra, John M. Easton, Timothy M.D. Ebbels, Jie Hao, Christian Ludwig, Ulrich L. Günther, Antonio Rosato, Matthias S. Klein, Ian Lewis, Claudio Luchinat, Andrew R Jones, Arturas Grauslys, Martin Larralde, Masashi Yokochi, Naohiro Kobayashi, Andrea Porzel, Julian Griffin, Mark R. Viant, David S Wishart, Christoph Steinbeck, Reza M Salek, and Steffen Neumann. “nmrML: a community supported open data standard for the description, storage, and exchange of NMR data.” ACS Analytical Chemistry. dx.doi:10.1021/acs.analchem.7b02795 available “online first” 16/11/2017, final print version vol. 90, no. 1, pp. 649–656, 2018.
2017
Jonathan Tutcher, John M. Easton, and Clive Roberts. “Enabling Data Integration in the Rail Industry Using RDF and OWL - the RaCoOn Ontology.” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. doi:10.1061/AJRUA6.0000859 available “online first” 22/12/2015, final print version vol. 3, no. 2, June 2017.
2013
David Golightly, John M. Easton, Clive Roberts, and Sarah Sharples. “Applications, value and barriers of common data frameworks in the rail industry of Great Britain.” The Journal of Rail and Rapid Transit, vol. 227, no. 6, pp. 693–703, 2013.
2012
C. Ludwig§, J.M. Easton§, A. Lodi, S. Tiziani, S. Manzoor, A.D. Southam, J.J. Byrne, L.M. Bishop, S. He, T.N. Arvanitis, U.L. Günther and M.R. Viant. “Birmingham Metabolite Library: A publicaly accessible database of 1-D 1H and 2-D 1H J-resolved NMR spectra of authentic metabolite standards (BML-NMR).” Metabolomics, vol. 8, no. 1, pp. 8–18, 2012.
§ Joint first authors.
2011
Alexander Gibb, John Easton, Nigel Davies, Yu Sun, Lesley MacPherson, Kal Natarajan, Theodoros Arvanitis, and Andrew Peet. “The development of a graphical user interface, functional elements and classifiers for the non-invasive characterisation of childhood brain tumours using magnetic resonance spectroscopy.” The Knowledge Engineering Review, vol. 26, no. 3, pp. 353–363, 2011.
J.M. Easton, J.R. Davies, and C. Roberts. “Ontology engineering: The “what’s”, “why’s” and “how’s” of data exchange.” The International Journal of Decision Support System Technology, vol. 3, no. 1, pp. 40–53, 2011.
2010
J.M. Easton, L.M. Harris, M.R. Viant, A.C. Peet, and T.N. Arvanitis. “Linked Metabolites: A tool for the construction of directed metabolic graphs.” Computers in Biology and Medicine, vol. 40, no. 3, pp. 340–349, 2010.
2008
A.D. Southam, J.M. Easton, G.D. Stentiford, C. Ludwig, T.N. Arvanitis, and M.R. Viant. “Metabolic changes in flatfish hepatic tumours revealed by NMR-based metabolomics and metabolic correlation networks.” Journal of Proteome Research, vol. 7, no. 12, pp. 5277–5285, 2008.
2007
D.V. Rubtsov, H. Jenkins, C. Ludwig, J. Easton, M.R. Viant, U. Günther, J.L. Griffin, and N. Hardy. “Proposed reporting requirements for the description of NMR-based metabolomics experiments.” Metabolomics, vol. 3, no. 3, pp. 223–229, 2007.
Edited Books
2017
S. Kohli, A.V. Senthil Kumar, J.M. Easton, and C. Roberts (Eds.), “Innovative Applications of Big Data in the Railway Industry”. IGI Global. ISBN13: 9781522531760. 2017.
Book Chapters
2017
J.M. Easton. “Blockchains: A Distributed Data Ledger for the Rail Industry”. In S. Kohli, A.V. Senthil Kumar, J.M. Easton, and C. Roberts (Eds.), Innovative Applications of Big Data in the Railway Industry, pp. 27–39. IGI Global, Hershey, PA. 2017.
2013
J.M. Easton, J.R. Davies, and C. Roberts. Ontology engineering: The “What’s”, “Why’s”, and “How’s” of Data Exchange. In D. Power (Ed.), Engineering Effective Decision Support Technologies: New Models and Applications, pp. 72–86. IGI Global, Hershey, PA: Engineering Science Reference. 2013.
Selected Magazine Articles
2017
John Easton, and Shruti Kohli. “Challenges and Opportunities for Big Data in the Digital Railway”. Railway Technology Magazine, ISSN:1471-0668, December / January Issue, p. 38, 2017.
2016
Susanne Wunsch, Martin Lehnert, Jürgen Krimmling, and John Easton. “Datenformate, Datenmodelle und Datenkonzepte für den Eisenbahnbetrieb”. EI – Der Eisenbahningenieur (The Railway Engineer), Eurail Press, Issue 11 (November), pp. 8–14, 2016.
J. Easton. “Prioritising the cyber threats to ICS in rail”. Railway Technology Magazine, ISSN:1471-0668, February / March Issue, p. 98, 2016.
Selected Industry Reports
2015
Chris Baker, Hassan Hemida, John Easton, Dominic Flynn, and Michael Jesson. “Review of the rules for the operation of trains through flood water”. Produced with funding from the UK Rail Safety and Standards Board as Project T1052.
2014
J. Tutcher, J. Easton, R. Myall, M. Hargreaves, C. Tiller and C. Roberts. “Ontology-based data management
for the GB rail industry”. Produced with funding from the FuTRO Universal Data Challenge.
John Easton, David Jaroszweski, Andrew Quinn, Lee Chapman and Chris Baker. “The assessment of anemometer-based wind alert systems for implementation in GB: Operational context and requirements”. Produced with funding from the UK Rail Safety and Standards Board as Project T1020.
2013
J.M. Easton, and C. Roberts. “RSSB Cross-industry Railway Information Systems Workshop - Summary Report” Produced for the Rail Safety and Standards Board (RSSB).
2011
C. Roberts, J.M. Easton, R. Davies, S. Sharples, and D. Golightly. “The Specification of a System-wide Data Framework for the Railway Industry - Final Report.” Produced as part of the Rail Research UK Association (RRUK-A) “Factor 20” Feasibility Studies Project with Funding from EPSRC (EP/H024743/1).
Selected Conference Papers
2018
J.D. Preece, and J.M. Easton. “Towards Encrypting Industrial Data on Public Distributed Networks” in Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), ISBN: 978-1-78561-846-8, Seattle, WA, USA. December 10th – 13th, 2018.
Q. Fu, D.J. Jaroszweski, and J.M. Easton. “A prototype model for understanding heat-related rail incidents: a case study on the Anglia area in Great Britain” in Proceedings of the 8th International Conference on Railway Engineering (ICRE 2018), ISBN: 978-1-78561-846-8, London, UK. May 16th – 17th, 2018.
2017
Qian Fu, and John M. Easton. “Understanding Data Quality: Ensuring Data Quality by Design in the Rail Industry” in Proceedings of the IEEE Conference on Big Data (IEEE BigData 2017), ISBN: 978-1-5386-2715-0/17, pp. 3792–3799, Boston, MA, USA, December 11th – 14th, 2017.
2016
Rhianne Evans, John Easton, and Clive Roberts. “SCEPTICS: A Systematic Evaluation Process for Threats to Industrial Control Systems” in Proceedings of 11th World Congress on Railway Research (WCRR), Milan, Italy, May 29th – June 2nd 2016.
Christopher Morris, John Easton, and Clive Roberts. “From Data to Information: Provision of Railway Data to Passengers in the Information Age” in Proceedings of 11th World Congress on Railway Research (WCRR), Milan, Italy, May 29th – June 2nd 2016.
Q. Fu, and J.M. Easton. “How does existing data improve decision making? A case study of wind-related incidents on rail network” in Proceedings of the International Conference on Railway Engineering (ICRE 2016), Brussels, Belgium, May 12th – 13th, 2016.
2010
J.M. Easton, J.R. Davies, and C. Roberts. “Railway Modelling: The case for ontologies in the rail industry.” In Proceedings of the International Conference on Knowledge Engineering and Ontology Development (KEOD), pp. 257–262, Valencia, Spain, October 25th – 28th, 2010.
Ph.D. Thesis
J.M. Easton. “Optimised analysis and visualisation of metabolic data using graph theoretical approaches.” Ph.D. thesis, University of Birmingham, 2009.
Industry Awards
2012
National Rail Awards: Stephenson Award for Engineering Innovation. Awarded for the TRIME third rail measurement system (consortium consisting of the University of Birmingham, Southern & Network Rail).
University web page: https://www.birmingham.ac.uk/staff/profiles/eese/easton-john.aspx
Email: J.M.Easton@bham.ac.uk
Tel: +44 (0)121 4144315
ORCID: https://orcid.org/0000-0001-8745-6753
School of Engineering (EESE)
University of Birmingham
Edgbaston
Birmingham
B15 2TT