Pervasive Intelligence was created in 2013 to provide services in the development, evaluation and commercialisation of emerging digital technologies.

Despite being a new company, our team has over 20 years' experience in professional software development, consultancy, project management, research and commercialisation. All this combined with extensive knowledge of complex algorithms, systematic evaluation, and a critical understanding of how to bridge the gap between the academic and commercial worlds.


Dr Matthew Casey BSc PhD CEng MBCS CITP FHEA

Managing Director
Matthew Casey

Matthew spent 10 years in industry working as a software engineer, project manager and consultant for companies such as IBM before studying for a PhD part-time at the University of Surrey, which resulted in a change of career.

As a senior lecturer at the University of Surrey, Matthew was responsible for a range of activities, including looking after the training of over 600 PhD students, running the Computer Science degree programmes and conducting research into the computational properties of the brain. After being frustrated with how difficult it was to take leading-edge research into the real world, he decided it was time to make a difference.

Matthew is a Chartered Engineer (CEng), Chartered Information Technology Professional (CITP), Professional Member of the British Computer Society (MBCS) and a Fellow of the Higher Education Academy (FHEA). He has published over 30 articles on a range of subjects in international journals, conferences and workshops, details of which you can find on Google Scholar, and run commercialisation projects both from within and outside university.


Professor Steve Schneider

Director of the Surrey Centre for Cyber Security, University of Surrey

16 January 2016

Matthew did an excellent job as project manager on our development of the secure electronic voting system (vVote) for the Victorian State Election that ran in November 2014. He provided all of our project planning, technical documentation, coordination and also contributed to the testing. He is highly experienced and professional, and his contribution was absolutely critical in our delivery of the system on time and within budget. I would recommend him without hesitation.

Selected Publications and Talks

  1. ManagePlaces Limited, Pervasive Intelligence Ltd, University of Surrey, London Underground, Monkey Mischief Ltd, iGeolise Limited (2016). Travel Guardian. The new way to get personalised train travel information.
  2. Arscott, D., Venturini, B., Cheong Took, C., Templeton, M., Babatunde, A. and Casey, M.C. (2016). Delivering Water Security for All During Shale Gas Production. A report co-funded by Innovate UK, DECC and NERC and undertaken by the PyTerra Research Consortium.
  3. Ioannou, P., Casey, M.C. and Grüning, A. (2015). Spike-Timing Neuronal Modelling of Forgetting in Immediate Serial Recall. Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2015. Killarney, Ireland: IEEE.
  4. Casey, M.C. and Treharne, H.E. (2015). Let's Explore Research+. Nesta, 13/02/2015.
  5. Scott, M. and Casey, M.C. (2013). Back to Reality with visit-AR. Rethinking Museum Display, National Museum Bahrain, 14/12/2013.
  6. Casey, M.C., Treharne, H.E. and Scott, M. (2013). Back to Reality with visit-AR. Museums Association’s Museum Practice Seminar – All in Hand: Mobile Technology and Museums, British Museum, 28/11/2013.
  7. Treharne, H.E., Tromans, N., Scarles, C., Scott, M., Casey, M.C. and Culnane, C. (2013). Transforming the Visitor Experience with Augmented Reality. YouTube.
  8. Scarles, C. and Casey, M.C. (2013). Augmented Reality at Watts Gallery. YouTube.
  9. Smith, M. and Casey, M.C. (2012). Solving the Big Data Problem – Smart Ways to Work Together. Big Data: Turning Big Challenges into Big Opportunities, IET Seminar, 05/12/2012.
  10. Casey, M.C., Pavlou, A. and Timotheou, A. (2012). Audio-Visual Localization with Hierarchical Topographic Maps: Modeling the Superior Colliculus. Neurocomputing, vol. 97, pp. 344-356, doi: 10.1016/j.neucom.2012.05.015.
  11. Barfoot, K.M., Casey, M.C. and Callaway, A.J. (2012). Combined EEG and Eye-tracking in Sports Skills Training and Performance Analysis. World Congress of Performance Analysis of Sport IX. Worcester, 25-28 July 2012.
  12. Casey, M.C., Yau, C.Y., Barfoot, K.M. and Callaway, A.J. (2012). Data Mining of Portable EEG Brain Wave Signals for Sports Performance Analysis: An Archery Case Study. International Convention on Science, Education and Medicine in Sport (ICSEMIS 2012). Glasgow, 19-24 July 2012.
  13. Casey, M.C., Hickman, D.L., Pavlou, A. and Sadler, J.R.E. (2011). Small-scale Anomaly Detection in Panoramic Imaging using Neural Models of Low-level Vision. Proceedings of SPIE Defense, Security, and Sensing Conference 2011 on Enhanced and Synthetic Vision, volume 8042B. SPIE, Florida, 25-29 April 2011.
  14. Casey, M.C., Pavlou, A. and Timotheou, A. (2010). Mind the (Computational) Gap. Proceedings of the UK Workshop on Computational Intelligence (UKCI 2010), Essex, 8-10 September.
  15. Alsudani, F. and Casey, M.C. (2009). The Effect of Aesthetics on Web Credibility. Proceedings of the 23rd BCS conference on Human Computer Interaction (HCI 2009). Cambridge, UK.
  16. Pavlou, A. and Casey, M.C. (2009). A Computational Platform for Visual Fear Conditioning. Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2009. Atlanta, Georgia: IEEE.
  17. Casey, M.C. (2007). Sensible Machines. Financial Sector Technology, vol. 13(3), pp. 25.
  18. Taskaya-Temizel, T. and Casey, M.C. (2005). A Comparative Study of Autoregressive Neural Network Hybrids. Neural Networks, vol. 18(5-6), pp. 781-789, doi: 10.1016/j.neunet.2005.06.003.