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

John Easton

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 麻豆精选
Edgbaston
Birmingham
B15 2TT
UK

Dr John Easton is a Lecturer working with the at the University 麻豆精选. 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 麻豆精选 (2009)
  • MEng (Hons) in Computer Systems Engineering with Management, University 麻豆精选 (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)

Biography

Initially working in the field of Metabolomics, where he developed data models for the exchange and analysis of NMR data, John moved to the Birmingham Centre for Railway Research and Education in 2009. Since then he鈥檚 worked on a range of data driven projects in rail, and currently leads the research activity on data integration, management and cyber security for the UK Rail Research and Innovation Network鈥檚 (UKRRIN) Centre of Excellence in Digital Systems. John is actively involved in hosting conferences in the area of transportation data, acting as the programme chair of the Institution of Engineering and Technology (IET) International Conference on Railway Engineering鈥檚 European events, and chairing an annual workshop at the IEEE鈥檚 Big Data conferences in the USA.

Alongside his academic duties, John sits on the GB rail industry鈥檚 Data and Information Systems Interface Committee (DISIC), is the immediate past chair of the IET's Railway Technical Network having previously chaired the group between 2018 and 2021, and has been a visiting Fellow of the Alan Turing Institute in 2022/23.

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.

Research

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

Article

Fu, Q, Easton, J & Burrow, M 2024, '', Transportation Research Record, vol. 2678, no. 6, pp. 1-13.

Preece, J, Morris, C & Easton, J 2024, '', IET Blockchain, vol. 4, no. 4, pp. 456-469.

Preece, J & Easton, J 2024, '', Telematics and Informatics Reports, vol. 13, 100115.

Preece, J, Dean, I & Easton, J 2023, '', Transportation Research Procedia, vol. 72, pp. 1201-1207.

Alzahrani, R, Herko, S & Easton, J 2021, '', Journal of the British Blockchain Association, vol. 4, no. 2, 3.

Ikpobe, O & Easton, J 2021, '', Journal of the British Blockchain Association, vol. 5, no. 1, 30993.

Conference contribution

Easton, J 2023, in 2022 IEEE International Conference on Big Data (Big Data). IEEE International Conference on Big Data, IEEE, pp. 3814-3820, 2022 IEEE International Conference on Big Data, Osaka, Japan, 17/12/22.

Preece, J & Easton, J 2023, . in World Congress on Railway Research. World Congress on Railway Research 2022, Birmingham, United Kingdom, 6/06/22.

Preece, J, Morris, C & Easton, J 2023, . in 2022 IEEE International Conference on Big Data (Big Data). IEEE International Conference on Big Data, IEEE, pp. 3838-3844, 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 17/12/22.

Preece, J, Samra, M, Thomas, RJ & Easton, J 2022, . in Y Chen, H Ludwig, Y Tu, U Fayyad, X Zhu, X Hu, S Byna, X Liu, J Zhang, S Pan, V Papalexakis, J Wang, A Cuzzocrea & C Ordonez (eds), 2021 IEEE International Conference on Big Data (Big Data)., 9671420, IEEE International Conference on Big Data, IEEE, pp. 2919-2924, 2021 IEEE International Conference on Big Data (Big Data), 15/12/21.

Alzahrani, R, Herko, S & Easton, J 2021, . in X Wu, C Jermaine, L Xiong, XT Hu, O Kotevska, S Lu, W Xu, S Aluru, C Zhai, E Al-Masri, Z Chen & J Saltz (eds), 2020 IEEE International Conference on Big Data (Big Data)., 9377895, IEEE International Conference on Big Data, pp. 2385-2394, 2020 IEEE International Conference on Big Data (Big Data), 10/12/20.

Preece, J & Easton, J 2020, . in 2019 IEEE International Conference on Big Data (Big Data)., 9006293, IEEE Xplore, pp. 3599-3606, 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, California, United States, 9/12/19.

Armstrong, J, Rempelos, G, Wei, J, Preston, J, Blainey, S, Easton, J & Roberts, C 2020, . in G Passerini, JM Mera & R Takagi (eds), Computers in Railways XVII: Proceedings of the 17th International Conference on Railway Engineering Design and Operation (COMPRAIL 2020). WIT Transactions on the Built Environment, vol. 199, WIT Press, pp. 127-138.

Paper

Thomas, RJ, Easton, J, Preece, J, Samra, M & Nonyelu, F 2022, '', Paper presented at World Congress on Railway Research 2022, Birmingham, United Kingdom, 6/06/22 - 10/06/22.

Review article

Fu, Q, Nicholson, G & Easton, J 2024, '', Journal of Industrial Information Integration, vol. 42, 100729.