Professor Alex Shenfield MEng, PhD, SMIEEE
Professor of Machine Learning
- Department of Engineering and Mathematics
- National Centre of Excellence for Food Engineering
- Industry and Innovation Ï㽶ÊÓƵ Institute
Summary
I am currently Professor of Machine Learning at Ï㽶ÊÓƵ. I joined Ï㽶ÊÓƵ in November 2013 from Manchester Metropolitan University and am a Senior Member of the IEEE (SMIEEE) and a Fellow of the Higher Education Academy (FHEA). I am also the Digital Connectivity research theme lead for the National Centre of Excellence for Food Engineering (NCEFE). My main research interests are in the field of machine learning and particularly in its application to real-world problems in image processing and pattern recognition, healthcare, and Industry 4.0.
About
I am an active researcher with research interests focused primarily in the field of machine learning and its application to real-world problems in image processing and pattern recognition, healthcare, and Industry 4.0 (particularly in it's application to food and drink manufacturing). I have published over thirty peer-reviewed journal and conference papers on the application of AI and ML to a variety of problems in engineering, security, and healthcare in a range of high-impact venues (with more than a dozen oral presentations at international conferences). According to Google Scholar, my publications have received approximately 1000 citations and I have a current H-Index of 13.
I am currently / have been principal investigator or co-investigator on several successfully funded external research and development projects investigating the application of ML techniques and software engineering principles to a variety of problem domains (including funding from BBSRC, MRC, ERDF, and Ï㽶ÊÓƵ England), with a total value to Ï㽶ÊÓƵ of over £3,500,000. As well as this, I have been principal investigator on several smaller grants (including support from Google and nVidia).
Teaching
Department of Engineering and Mathematics
College of Business, Technology and Engineering
Subject Area
Electronic Engineering
Courses
BEng/MEng (Hons) Electrical and Electronic Engineering
Modules
Level 6 – Embedded Computer Networks
Ï㽶ÊÓƵ
1) 2023-2024. AI-enhanced heritage building condition report analysis. Funded by Innovate UK. Total project value £50,000.
2) 2022-2024. Smart and Sustainable Manufacturing for Baking Industry (with Rakusen's). Funded by Innovate UK (Manufacturing Made Smarter). Total project value £1.2M.
3) 2022-2024. An intelligent Industry 4.0 control systems platform for the food manufacturing industry (with QSS Ltd.). Funded by Innovate UK. £182,500.
4) 2022-2024. Machine learning tools for archive analysis (with Microform Imaging Ltd.). Funded by Innovate UK. £182,500.
5) 2021. Mapping the surgical wound in infrared: Feasibility to develop automated AI-based segmentation of anatomical bounding boxes for incision and reference sites. Funded by GrowMedTech. £10,000.
6) 2019-2022. A stroke risk monitoring service. Funded by GrowMedTech. £34,000.
7) 2019-2021. Next generation rice milling. Funded by BBSRC. Total project value £1.1M.
8) 2019-2020. Machine learning in linguistic analysis for historical archives. Funded by ERDF. £90,000.
9) 2018-2019. Automatic face recognition in critical care (AFRICAA). Funded by MRC. £60,000.
Featured Projects
1) Smart and Sustainable Manufacturing for Baking Industry
2) Next Generation Rice Milling
Collaborators and Sponsors
Innovate UK; STFC; UKRI
Publications
Key Publications
Rashvand, M., Paterna, G., Laveglia, S., Zhang, H., Shenfield, A., Gioia, T., ... Genovese, F. (2025). . Journal of Food Composition and Analysis, 142.
Rashvand, M., Ren, Y., Sun, D.-.W., Senge, J., Krupitzer, C., Fadiji, T., ... Zhang, H. (2025). . Trends in Food Science & Technology, 159.
Popoola, O., Rodrigues, M., Marchang, J., Shenfield, A., Ikpehai, A., & Popoola, J. (2024). . Internet of Things; Engineering Cyber Physical Human Systems, 27.
Nikzadfar, M., Rashvand, M., Zhang, H., Shenfield, A., Genovese, F., Altieri, G., ... Di Renzo, G.C. (2024). . Applied Sciences, 14 (21).
Popoola, O., Rodrigues, M., Marchang, J., Shenfield, A., Ikpehai, A., & Popoola, J. (2024). . Blockchain: Ï㽶ÊÓƵ and Applications, 5 (2).
Tenzer, M., Pistilli, G., Bransden, A., & Shenfield, A. (2024). . Internet Archaeology, (67).
Shiner, A., Kiss, A., Saednia, K., Jerzak, K.J., Gandhi, S., Lu, F.-.I., ... Tran, W.T. (2023). . Genes, 14 (9).
Childs, C., Nwaizu, H., Voloaca, O., & Shenfield, A. (2023). . Applied Sciences, 13 (6).
Lagree, A., Shiner, A., Alera, M.A., Fleshner, L., Law, E., Law, B., ... Tran, W.T. (2021). . Current Oncology, 28 (6), 4298-4316.
Lagree, A., Mohebpour, M., Meti, N., Saednia, K., Lu, F.-.I., Slodkowska, E., ... Tran, W. (2021). . Scientific Reports, 11 (1), 8025.
Shenfield, A., & Howarth, M. (2020). A Novel Deep Learning Model for the Detection and Identification of Rolling Element-Bearing Faults. Sensors, 20, 5112.
Faust, O., Barika, R., Shenfield, A., Ciaccio, E.J., & Acharya, U.R. (2020). . Knowledge-Based Systems, 106591.
Faust, O., Kareem, M., Shenfield, A., Ali, A., & Acharya, U.R. (2020). . Pattern Recognition Letters, 133, 55-61.
Liao, H., Milanovic, J.V., Rodrigues, M., & Shenfield, A. (2018). . IEEE Transactions on Power Delivery.
Faust, O., Shenfield, A., Kareem, M., San, T.R., Fujita, H., & Acharya, U.R. (2018). . Computers in Biology and Medicine.
Shenfield, A., Day, D., & Ayesh, A. (2018). . ICT Express.
Shenfield, A., & Rostami, S. (2015). . 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 1-8.
Rostami, S., O'Reilly, D., Shenfield, A., & Bowring, N. (2015). . Information Sciences, 295, 494-520.
Journal articles
Portsmouth, B., Shenfield, A., Zhang, H., Johnston, A., & Limb, J. (2024). . Food Science and Technology, 38 (4), 32-35.
Madrigal-Garcia, M.I., Archer, D., Singer, M., Rodrigues, M., Shenfield, A., & Moreno-Cuesta, J. (2020). . Critical Care Explorations, 2 (5), e0115.
Shenfield, A., & Wainwright, R. (2018). Human Activity Recognition Making Use of Long Short-Term Memory Techniques. .
Madrigal-Garcia, M., Rodrigues, M., Shenfield, A., Singer, M., & Moreno-Cuesta, J. (2018). . Critical Care Medicine.
Rostami, S., & Shenfield, A. (2016). . Soft Computing - A Fusion of Foundations, Methodologies and Applications, 21 (17), 4963-4979.
Shenfield, A., Rodrigues, M., Valentine, D., Liu, D., & Moreno-Cuesta, J. (2015). . Journal of the Intensive Care Society, 16 (4), 118.
Twigg, P., Sigurnjak, S., Southall, D., & Shenfield, A. (2014). . Measurement and Control, 47 (6), 185-190.
Shenfield, A., & Fleming, P. (2014). . Engineering Applications of Artificial Intelligence, 27, 17-27.
Shenfield, A., & Fleming, P.J. (2013). . International Journal of Computing and Network Technology, 1 (1), 1-17.
Shenfield, A., & Rodenburg, J. (2011). . Journal of Applied Physics, 109 (12), 124510.
Shenfield, A., Fleming, P., Kadirkamanathan, V., & Allan, J. (2010). . Annals of Operations Ï㽶ÊÓƵ, 180 (1), 213-231.
Shenfield, A., Fleming, P., & Alkarouri, M. (2007). . Engineering Applications of Artificial Intelligence, 20, 1047-1057.
Popoola, O., Rodrigues, M., Marchang, J., Shenfield, A., ikpehai, A., & Popoola, J. (n.d.). Hybrid Encryption for Smart Home Healthcare: Ensuring Data Confidentiality and Security. .
Conference papers
Lwele, E., & Shenfield, A. (2024). . 2024 IEEE Industrial Electronics and Applications Conference (IEACon), 89-94.
Haverson, K., Smith, R., Shenfield, A., Fortulan, R., Ćwiok, M., Dominik, W., ... Wheldon, C. (2024). . Il Nuovo Cimento, 48 (1).
Kasturi, S., Shenfield, A., & Roast, C. (2024). . Proceedings of the 2024 International Conference on Advanced Visual Interfaces.
Kasturi, S., Shenfield, A., Roast, C., Le Page, D., & Broome, A. (2024). . In Naik, N., Jenkins, P., Grace, P., Yang, L., & Prajapat, S. (Eds.) The 22nd UK Workshop on Computational Intelligence, 6 September 2023 - 8 September 2023 (pp. 170-181). Cham: Springer:
Reji, A., Pranggono, B., Marchang, J., & Shenfield, A. (2023). . In IEEE International Conference on Communications - 5th International Workshop on IoT Enabling Technologies in Healthcare (IoT-Health 2023), Rome, Italy, 28 May 2023 - 1 June 2023 (pp. 1944-1949). IEEE:
Wainwright, R., & Shenfield, A. (2023). . In 20th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, Eindhoven, The Netherlands, 29 August 2023 - 2023. IEEE:
Shenfield, A., Kasturi, S., & Tran, W. (2022). . In 19th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, Ottawa, ON, Canada, 15 August 2022 - 17 August 2022. IEEE:
Barika, R., Shenfield, A., Razaghi, H., & Faust, O. (2021). . 17th International Conference on Condition Monitoring and Asset Management, CM 2021.
Tran, W., Lu, F., Tabbarah, S., Lagree, A., Dodington, D., Jerzak, K., ... Shenfield, A. (2020). . Radiotherapy & Oncology, 152 (S1), S277-S278.
Shenfield, A., Khan, Z., & Ahmadi, H. (2020). . In IEEE 91st Vehicular Technology Conference: VTC2020-Spring, 25 May 2020 - 28 May 2020. IEEE:
Shenfield, A., & Rostami, S. (2017). . IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology.
Shenfield, A., Rodrigues, M., Moreno-Cuesta, J., & Nooreldeen, H. (2017). . IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology.
Rostami, S., Shenfield, A., Sigurnjak, S., & Fakorede, O. (2015). . Proceeding of PPIG 2015 - 26th Annual Workshop.
Rostami, S., & Shenfield, A. (2012). . 12th UK Workshop on Computational Intelligence (UKCI), 2012, 1-8.
Delves, P., Manning, W., & Shenfield, A. (2012). . Proceedings of AVEC 2012.
Shenfield, A., & Fleming, P. (2011). . Proceedings of the 18th IFAC World Congress, 2011, 18/1 (18/1), 14711-14716.
Shenfield, A., Fleming, P., Kadirkamanathan, V., & Allan, J. (2007). . In IEEE Symposium Series on Computational Intelligence (SSCI) 2007, Honolulu, Hawaii, 1 April 2007 - 5 April 2007.
Shenfield, A., & Fleming, P. (2005). . Advances in Grid Computing - EGC 2005 Lecture Notes in Computer Science, 3470 (3470).
Theses / Dissertations
Popoola, O.J. (2025). . (Doctoral thesis). Supervised by Shenfield, A., Marchang, J., Ikpehai, A., & Rodrigues, M.
Wainwright, R. (2023). . (Doctoral thesis). Supervised by Shenfield, A.
Musameh, M.F.K.H. (2020). . (Doctoral thesis). Supervised by Shenfield, A.
Posters
Moreno-Cuesta, J., Madrigal, M., Shenfield, A., & Rodrigues, M. (2016). . Presented at: ICSSOA-2016 Intensive Care Society State of Art Meeting, London, 2016
Other activities
Member of the EPSRC Peer Review College
Associate Editor for Network: Computation in Neural Systems
Postgraduate supervision
Current students:
- Richard Wainwright (as Director of Studies)
- Olusogo Popoola (as Co-supervisor)
- Ryan Lewis (as Co-supervisor)
- Zeena Al-Tekreeti (as Co-supervisor)
- Ragab Barika (as Co-supervisor)
Past students:
- Surapong Kokkrathoke. Nonlinear optimal control and it's application to a two-wheeled robot (2022)
- Mohammad Musameh. Smart grid for the leisure vehicle industry (2020)
- Fayad Abdulah. Comparative Modelling and Shade Analysis of Renewable Photovoltaic Systems (2016)
- Peter Delves. Simulation Study Investigating the Novel use of Drive Torque Vectoring for Dynamic Post-Impact Vehicle Dynamic Control (2015)
- Shahin Rostami. Preference Focussed Many-Objective Evolutionary Computation (2014)