About

Pervasive Intelligence was created in 2013 to provide services in the development, evaluation and commercialisation of emerging digital technologies. Our team has over 25 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 turn digital innovation into commercial services.

People

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.

Selected Recommendations

Dr David Williams

Lecture in Secure Systems, University of Surrey

10/01/2018

Matthew has been instrumental to the technical success of our project to evaluate whether location-based technologies can be used to automatically detect what carriages and facilities go to make up a train service. I'll seek to partner with Pervasive Intelligence again on future projects for technical expertise and utmost professionalism.

Annabelle Filer

Owner, SCIN

02/06/2017

Matthew stepped in at a moment of great urgency and managed to find those extra few hours to help us . He understood our vision and helped us to write with greater clarity and focus for our Innovate application. Great guy.

Dr Aaron Mason

Director, ManagePlaces Limited

14/07/2016

Working with Matthew has been an extremely positive experience. Pervasive Intelligence has demonstrated the qualities of the ideal project partner: proactive, reliable, trustworthy, communicative, supportive and highly enjoyable to work with. The problem solving and technical work delivered has always been on time and above expectations.

David Arscott

Director, PyTerra Ltd

18/01/2016

Matthew is a great facilitator when it comes to driving forward complex multi-party projects. He is interested in all technical and people aspects of projects and contributes a tremendous enthusiasm and positive attitude. He is very generous with his advice and support and will use his extensive technical experience to help other team members to advance their own work.

Professor Steve Schneider

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

16/01/2016

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.

Dr Clive Cheong Took

Lecturer, University of Surrey

03/12/2015

Pervasive intelligence is a technological facilitator. In other words PI bridges the gap between research development and business which is perfect for me. That meant that I could focus on the mathematical modelling (which I enjoy as an academic). PI not only provided me technological support in terms of computer simulations but also helped me to better understand the problem at hand through brain storming sessions. The problem was on optimising water networks. Moreover PI provided the resource to complete all the paperwork required for this project which I tend to avoid. Matthew was always happy to answer my queries over the phone even if that meant that he was about to go to another meeting. PI has been an invaluable component of our successful project. In short if you need help simply ask PI.

Selected Publications, Talks and Videos

  1. Transport Planning Professional (2019). Improving Platform Information with Better Data. CIHT Transportation Professional: article describing the Using Real-time Train Data to Influence Passenger Behaviour project..
  2. Whitefield, J., Casey, M.C, Chen, L., Giannetsos, T., Newton, C., Sasse, R., Treharne, H., Schneider, S., Wesemeyer, S. (2019). Direct Anonymous Attestation in the Wild. Real World Crypto Symposium 2019 contributed talk.
  3. Casey, M.C. & Wesemeyer, S. (2018). Benchmarking ETicketing System. Source code for evaluating NFC e-ticketing protocols.
  4. Al-Khalili, J., Smith, A. & Sen, P. (2017). Gravity and Me: the Force that Shapes our Lives. BBC 4 science programme supported by Pervasive Intelligence and using Pervasive Location™ in an iOS and Android app to measure local relativity effects.
  5. Treharne, H., Casey, M.C., Schneider, S., Wesemeyer, S., Ross, T., May, A., Blainey, S., Pritchard, J. (2016). Integrating Data Sources to Enhance the Experience for Passengers with Special Needs and/or Disabilities through Privacy Aware Mobile Applications. Data to Improve the Customer Experience, RRUKA, 20/09/2016.
  6. 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.
  7. 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.
  8. 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.
  9. Casey, M.C. and Treharne, H.E. (2015). Let's Explore Research+. Nesta, 13/02/2015.
  10. Scott, M. and Casey, M.C. (2013). Back to Reality with visit-AR. Rethinking Museum Display, National Museum Bahrain, 14/12/2013.
  11. Treharne, H.E., Tromans, N., Scarles, C., Scott, M., Casey, M.C. and Culnane, C. (2013). Transforming the Visitor Experience with Augmented Reality. YouTube.
  12. 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.
  13. Scarles, C. and Casey, M.C. (2013). Augmented Reality at Watts Gallery. YouTube.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. Casey, M.C. (2007). Sensible Machines. Financial Sector Technology, vol. 13(3), pp. 25.
  23. 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.