Professor Simeon Keates
Deputy Vice-Chancellor
About
Professor Simeon Keates’ responsibility as Deputy Vice-Chancellor (DVC) of the University of Chichester includes all aspects of research, innovation, commercialisation, degree apprenticeships and the Tech Park, as well as overall academic responsibility for a number of academic departments and institutes. He is also the UKVI Authority Officer and University lead for Prevent.
Simeon is known widely for his interests in artificial intelligence, human-computer interaction, and building robots, which led him to competing in the BBC show Robot Wars. He is the author and editor of numerous books covering a range of topics as diverse as countering design exclusion, finite element applications and brandjacking. Simeon is a Fellow of the IET and Senior Fellow of the HEA.
Prior to Chichester, Simeon was Dean of the School of Engineering and the Built Environment at Edinburgh Napier University and former Deputy Pro Vice-Chancellor of the Faculty of Engineering and Science at the University of Greenwich. He was previously Chair of HCI and Head of School of Engineering, Computing and Applied Mathematics at the University of Abertay Dundee and Associate Professor at the IT University of Copenhagen. He obtained his PhD from the University of Cambridge, where he also worked as an Industrial Research Fellow in the Engineering Design Centre.
After 12 years at Cambridge, he moved to the US and joined the Accessibility Research Group at the IBM TJ Watson Research Center before moving to Boston and working at ITA Software (now part of Google) designing airport systems for Air Canada. He joined the University of Chichester as DVC in July 2020.
Research Output
Articles
Ghani, A., Hodeify, R., See, C. H., Keates, S., Lee, D.-J. and Bouridane, A. (2022) Computer Vision-Based Kidney’s (HK-2) Damaged Cells Classification with Reconfigurable Hardware Accelerator (FPGA). Electronics, 11 (24). pp. 1-17. ISSN 2079-9292 10.3390/electronics11244234
Ghani, A., Aina, A., See, C. H., Yu, H. and Keates, S. (2022) Accelerated Diagnosis of Novel Coronavirus (COVID-19)—Computer Vision with Convolutional Neural Networks (CNNs). Electronics, 11 (7). ISSN 2079-9292 10.3390/electronics11071148
Barakat, B., Taha, A., Samson, R., Steponenaite, A., Ansari, S., Langdon, P. M., Wassell, I. J., Abbasi, Q. H., Imran, M. A. and Keates, S. (2021) 6G Opportunities Arising from Internet of Things Use Cases: A Review Paper. Future Internet, 13 (6). e159. ISSN 1999-5903 10.3390/fi13060159
Ma, Y., See, C. H., Pang, F., Wu, D., Liu, D., Abidin, Z. Z., Keates, S., Peng, B. and Abd-Alhameed, R. A. (2020) A 10:1 Bandwidth Cryogenic Quadruple-Ridged Flared Horn Design for Reflector Antennas in Radio Astronomy. IEEE Access, 8. pp. 81101-81115. ISSN 2169-3536 10.1109/ACCESS.2020.2991350
Keates, S. (2020) When universal access is not quite universal enough: case studies and lessons to be learned. Universal Access in the Information Society, 19 (1). pp. 133-144. ISSN 1615-5289 10.1007/s10209-018-0636-2
Barakat, B., Keates, S., Wassell, I. J. and Arshad, K. (2019) Modelling IoT devices communication employing representative operation modes to reveal traffic generation characteristics. International Journal of Parallel, Emergent and Distributed Systems. pp. 1-13. ISSN 1744-5760 10.1080/17445760.2019.1649402
Barakat, B., Keates, S., Wassell, I. J. and Arshad, K. (2019) Is the Zero-Wait Policy Always Optimum for Information Freshness (Peak Age) or Throughput? IEEE Communications Letters, 23 (6). pp. 987-990. ISSN 1089-7798 10.1109/LCOMM.2019.2907935
Sun, J., Zhou, A., Keates, S. and Liao, S. (2018) Simultaneous Bayesian Clustering and Feature Selection Through Student’s t Mixtures Model. IEEE Transactions on Neural Networks and Learning Systems, 29 (4). pp. 1187-1199. ISSN 2162-237X 10.1109/tnnls.2016.2619061
Keates, S. (2017) Measuring acceptable input: What is “good enough”? Universal Access in the Information Society, 16 (3). pp. 713-723. ISSN 1615-5289 10.1007/s10209-016-0498-4
Keates, S. (2015) A pedagogical example of teaching Universal Access. Universal Access in the Information Society, 14 (1). pp. 97-110. ISSN 1615-5289 10.1007/s10209-014-0398-4
Ma, X., Keates, S., Jiang, Y. and Kosinka, J. (2015) Subdivision surface fitting to a dense mesh using ridges and umbilics. Computer Aided Geometric Design, 32 (2015). pp. 5-21. ISSN 0167-8396 10.1016/j.cagd.2014.10.001
Book Sections
Packer, B., Keates, S. and Baker, G. (2021) The Creative Design-Engineer Divide: Modular Architecture and Workflow UX. In: HCI International 2021 - Late Breaking Posters. Communications in Computer and Information Science, 1498 (1498). Springer Nature, Cham, Switzerland, pp. 459-470. ISBN 9783030901752 10.1007/978-3-030-90176-9_59
Conference or Workshop Items
Eze, E. O., Keates, S., Pedram, K., Esfahani, A. and Odih, U. (2022) An event-based Intelligent Vehicle Rerouting for Efficient Traffic Management for Connected Vehicles. In: 2022 5th International Conference on Information and Communications Technology (ICOIACT), 24 -25 August 2022, Yogyakarta, Indonesia (also online). 10.1109/icoiact55506.2022.9972207
Eze, E. O., Keates, S., Pedram, K., Esfahani, A. and Odih, U. (2022) A Context-Based Decision-Making Trust Scheme for Malicious Detection in Connected and Autonomous Vehicles. In: 2022 International Conference on Computing, Electronics & Communications Engineering (iCCECE), 17-18 Aug 2022, Southend, United Kingdom. (In Press) 10.1109/iccece55162.2022.9875087
Packer, B. and Keates, S. (2022) Automated Interpretation: The Other, Better, Wiser AI. In: University of Chichester Research Conference, 11-12 July 2022, Bishop Otter Campus, University of Chichester, Chichester..
