Dr John Easton MEng, PhD, MCMI, MIET, MIEEE

Department of Electronic, Electrical and Systems Engineering
Lecturer

Contact details

Telephone: +44 (0) 121 414 4315
Email: j.m.easton@bham.ac.uk

Address: School of Electronic, Electrical and Systems Engineering
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr John Easton is a Lecturer working with the Birmingham Centre for Railway Research and Education at the University of Birmingham. His research interests centre on methods for the storage, processing and display of railway related datasets – in particular data representation and exchange via ontologies, manipulation and integration of data relevant to the multimodal transport system, and cyber security in industrial control systems.

Qualifications

PhD in “Optimised analysis and visualisation of metabolic data using graph theoretical approaches”, University of Birmingham (2009)
MEng (Hons) in Computer Systems Engineering with Management, University of Birmingham (2004)
Member of the Institute of Electrical and Electronics Engineers (IEEE)
Member of the Institute of Engineering and Technology (IET)
Member of the Chartered Management Institute (CMI)

Postgraduate supervision

John Easton's research interests centre on methods for the storage, processing and display of railway related datasets - in particular data representation and exchange via ontologies, manipulation and integration of data relevant to the multimodal transport system, and cyber security in industrial control systems.

Other activities

Member of the IET Railway Technical and Professional Network (TPN) Executive Team – January 2015 to present.

Publications

Recent publications

Book

Kohli, S, Senthil Kumar, AV, Easton, J & Roberts, C (eds) 2017, Innovative Applications of Big Data in the Railway Industry. IGI Global. https://doi.org/10.4018/978-1-5225-3176-0

Article

Fu, Q & Easton, J 2018, '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, vol. 4, no. 3, 04018027. https://doi.org/10.1061/AJRUA6.0000975

Schober, D, Jacob, D, Wilson, M, Cruz, JA, Marcu, A, Grant, JR, Moing, A, Deborde, C, De Figueiredo, LF, Haug, K, Rocca-Serra, P, Easton, J, Ebbels, TMD, Hao, J, Ludwig, C, Günther, UL, Rosato, A, Klein, MS, Lewis, IA, Luchinat, C, Jones, AR, Grauslys, A, Larralde, M, Yokochi, M, Kobayashi, N, Porzel, A, Griffin, JL, Viant, MR, Wishart, DS, Steinbeck, C, Salek, RM & Neumann, S 2018, 'nmrML: A Community Supported Open Data Standard for the Description, Storage, and Exchange of NMR Data' Analytical Chemistry, vol. 90, no. 1, pp. 649-656. https://doi.org/10.1021/acs.analchem.7b02795

Tutcher, J, Easton, J & Roberts, C 2017, '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, vol. 3, no. 2. https://doi.org/10.1061/AJRUA6.0000859

Easton, J & Kohli, S 2017, 'Challenges and opportunities for big data in the digital railway' Rail Technology Magazine, pp. 38.

Wunsch, S, Lehnert, M, Krimmling, J & Easton, J 2016, 'Datenformate, Datenmodelle und Datenkonzepte für den Eisenbahnbetrieb' Der Eisenbahningenieur, vol. 11, pp. 8-14.

Chapter

Easton, J 2017, Blockchains: A Distributed Data Ledger for the Rail Industry. in S Kohli, AV Senthil Kumar, J Easton & C Roberts (eds), Innovative Applications of Big Data in the Railway Industry. IGI Global, pp. 27-39. https://doi.org/10.4018/978-1-5225-3176-0.ch002

Fu, Q & Easton, J 2016, 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). Institution of Engineering and Technology, pp. 35-41, International Conference on Railway Engineering, Brussels, Belgium, 12/05/16. https://doi.org/10.1049/cp.2016.0515

Conference contribution

Preece, J & Easton, J 2019, Towards encrypting industrial data on public distributed networks. in 2018 IEEE International Conference on Big Data (Big Data). IEEE Press / Wiley, pp. 4540-4544, 2018 IEEE International Conference on Big Data (Big Data), Seattle, United States, 10/12/18. https://doi.org/10.1109/BigData.2018.8622246

Morris, C & Easton, J 2018, Use of ontology for data integration in a degraded mode signalling system. in G Passerini, J M. Mera, N Tomii & P Tzieropoulos (eds), Computers in Railways XVI. WIT Transactions on The Built Environment, vol. 181, WIT Press, pp. 215-223, 16th International Conference on Railway Engineering Design & Operation (COMPRAIL 2018)
, Lisbon, Portugal, 2/07/18. https://doi.org/10.2495/CR180191

Fu, Q, Jaroszweski, D & Easton, J 2018, 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). Institution of Engineering and Technology, 8th International Conference on Railway Engineering (ICRE 2018), London, United Kingdom, 16/05/18. https://doi.org/10.1049/cp.2018.0071

Fu, Q & Easton, J 2018, Understanding Data Quality: Ensuring Data Quality by Design in the Rail Industry. in Proceedings of the 2017 IEEE International Conference on Big Data (BIGDATA). IEEE Xplore, pp. 3792-3799, 2017 IEEE International Conference on Big Data, Boston, United States, 11/12/17. https://doi.org/10.1109/BigData.2017.8258380

Paper

Fu, Q & Easton, J 2018, 'A data model for prediction of weather-related rail incidents: a case-study example of wind-related incidents on the rail network in Great Britain' Paper presented at 50th Annual Conference of the Universities’ Transport Study Group, London, United Kingdom, 3/01/18 - 5/01/18, .

Morris, C, Easton, J & Roberts, C 2016, 'From Data to Information: Provision of Railway Data to Passengers in the Information Age' Paper presented at 11th World Congress on Railway Research, Milan, Italy, 29/05/16 - 2/07/16, .

Evans, R, Easton, J & Roberts, C 2016, 'SCEPTICS: A Systematic Evaluation Process for Threats to Industrial Control Systems' Paper presented at 11th World Congress on Railway Research, Milan, Italy, 29/05/16 - 2/07/16, .

View all publications in research portal