Research Interests

My aim is to develop computational models of the brain, particularly for low-level sensory systems.  In particular, I model low-level vision and audition, such as found in the midbrain, expanding my interests into multi-modal fusion (particularly in the superior colliculus and amygdala). From this, I hope that we can bridge the gap between large-scale computational neuroscience models of the cortex to real-world inputs and outputs. This involves working with other computer scientists, psychologists and biologists, as well as companies to exploit the computational principles of low-level sensory processing.  I have also retained my interest in multiple classifier theory, exploring the link between on-line learning, game theory and ensemble systems.

Research Collaborations

• Athanasios Pavlou on modelling low-level vision.
• Paul Sowden (Department of Psychology, University of Surrey) on modelling low-level vision.
• Bernadette Moore (Department of Nutrition and Metabolism, University of Surrey) and Adam McNamara (Department of Psychology, University of Surrey) on modelling obesity using neural networks.
• Richard Zanibbi (Department of Computer Science, Rochester Institute of Technology) on game theory applied to multiple classifiers.
• Alpha-Active Ltd for pattern recognition in EEG signals.
• Ellen Dowell for the "Einstein's Garden" project at the Green Man Festival.

PhD Students

• Brian Gardner: reinforcement learning and foraging behaviour.
• Kendi Muchungi: modelling sensory neurons.
• Panagiotis Ioannou: spiking models of working memory.
• Meisam Emamjome: biologically-inspired robotic navigation.  (Completed 2010.)
• Athanasios Pavlou: modelling visual fear conditioning.  (Completed 2009.)
• Fan Zhang: multiple classifiers for fingerprint classification.  (Completed 2009.)
• Craig Bennett: top-down attention.  (Completed 2008.)
• Yu Fu: ensembles for feature selection.  (Completed 2008.)
• Tugba Taskaya-Timizel: time series analysis using neural networks.  (Completed 2006.)

Projects

• Moore, J.B., Casey, M.C., Kilner, J.J.M., Hague, T.A., McNamara, A.A., Corney, D.P.A. (2011).  Predictive Modelling of the Social Networks Influencing Obesity.  MILES Feasibility Study.  Duration 12 months, value £7800.
• Casey, M., Barfoot, K. & Browne, A. (2010). Knowledge Transfer Account project with Alpha-Active Ltd. Duration 5 months, value £21,094.
• Casey, M. (2010). Overseas Travel Grant: IJCNN 2010. Royal Academy of Engineering International Travel Grants, £400.
• Casey, M.C. & Hickman, D. (2009). Knowledge Transfer Account with Waterfall Solutions Ltd. Duration 5 months, value £17,194.
• Casey, M. & Timotheou, A. (2009). Putting Computational Models in the Real-world. EPSRC Vacation Bursary. Duration 10 weeks, value £2,500.
• Casey, M. & Zanibbi, R. (2008). A Theoretical Framework for Recognition Strategies. URSF Pump Priming Application. Overseas visit grant, £1500.
• Casey, M. (2008). Overseas Travel Grant: IJCNN 2008. Royal Academy of Engineering International Travel Grants, £600.
• Casey, M. Browne, A., Sowden, P. & Yin, H., (2006). Workshop on Biologically Inspired Information Fusion. EPSRC Foresight Cognitive Systems Programme and University of Surrey, Institute of Advanced Studies 2006-2007 Seminar Competition, value £18,341.

Publications

Journal Papers

Casey, M.C., Pavlou, A. & 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. Pre-print. Software.

Casey, M.C. & Sowden, P.T. (2012).  Modeling Learned Categorical Perception in Human Vision.  Neural Networks, vol. 33, pp. 114-126, doi: 10.1016/j.neunet.2012.05.001.  Pre-print.

Shields, M. & Casey, M.C. (2008). A Theoretical Framework for Multiple Neural Network Systems. Neurocomputing, vol. 71(7-9), pp. 1462-1476, doi: 10.1016/j.neucom.2007.05.008. Pre-print.

Casey, M.C. & Ahmad, K. (2006). A Competitive Neural Model of Small Number Detection. Neural Networks, vol. 19(10), pp. 1475-1489, doi: 10.1016/j.neunet.2006.06.004. Pre-print.

Taskaya-Temizel, T. & 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. Pre-print.

Taskaya-Temizel, T., Casey, M.C. & Ahmad, K. (2005). Pre-processing Inputs for Optimally-configured Time-delay Neural Networks. IEE Electronics Letters, vol. 41(4), pp. 198-200, doi: 10.1049/el:20058016. Pre-print.

Ahmad, K., Casey, M.C. & Bale, T. (2002). Connectionist Simulation of Quantification Skills. Connection Science, vol. 14(3), pp. 165-201, doi: 10.1080/0954009021000039639. Pre-print.

Conference and Workshop Papers

Muchungi, K. & Casey, M.C. (2012). Simulating Light Adaptation in the Retina with Rod-Cone Coupling. In Villa, A.E.P., Duch, W., Érdi, P., Masulli, F. & Palm, G. (Eds), Proceedings of the 22nd International Conference on Artificial Neural Networks, Lecture Notes in Computer Science 7552, Part I, pp. 339-346.  Heidelberg: Springer-Verlag.

Ioannou, P., Casey, M.C. & Grüning, A. (2012). Evaluating the Effect of Spiking Network Parameters on Polychronization. In Villa, A.E.P., Duch, W., Érdi, P., Masulli, F. & Palm, G. (Eds), Proceedings of the 22nd International Conference on Artificial Neural Networks, Lecture Notes in Computer Science 7552, Part I, pp. 255-263.  Heidelberg: Springer-Verlag.

Barfoot, K.M., Casey, M.C. & 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. Abstract.

Casey, M.C., Yau, C.Y., Barfoot, K.M. & 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. Abstract.

Casey, M.C., Hickman, D.L., Pavlou, A. & 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. Pre-print. Presentation.

Qadir, G. Zhao, X., Ho, A.T.S. & Casey, M.C. (2011).  Image Forensic of Glare Feature for Improving Image Retrieval Using Benford's Law.  Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS 2011), Rio de Janeiro, 15-18 May 2011. Pre-print.

Casey, M.C., Pavlou, A. & Timotheou, A. (2010). Mind the (Computational) Gap.  Proceedings of the UK Workshop on Computational Intelligence (UKCI 2010), Essex, 8-10 September. Pre-print. Presentation. Software.

Pavlou, A. & Casey, M.C. (2010). Simulating the Effects of Cortical Feedback in the Superior Colliculus with Topographic Maps. Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2010, Barcelona, 18-23 July. Pre-print. Presentation.

Alsudani, F. & 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. Pre-print.

Pavlou, A. & 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. Pre-print. Presentation.

Pavlou, A. & Casey, M.C. (2009). Identifying Emotions Using Topographic Conditioning Maps. In Koeppen, M., Kasabov, N. & Coghill, G. (Eds), Advances in Neuro-Information Processing: Proceedings of the 15th International Conference on Neuro-Information Processing, Lecture Notes in Computer Science 5506, 5507, pp. 40-47. Heidelberg: © Springer-Verlag. Pre-print. Presentation.

Casey, M.C. & Pavlou, A. (2008). A Behavioral Model of Sensory Alignment in the Superficial and Deep Layers of the Superior Colliculus. Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2008, Hong Kong: IEEE. Pre-print. Presentation.

Taskaya-Temizel, T. & Casey, M.C. (2005). Configuration of Neural Networks for the Analysis of Seasonal Time Series. In Singh, S., Singh, M., Apte, C. & Perner, P. (Eds), Proceedings of the 3rd International Conference on Advances in Pattern Recognition (ICAPR 2005), Lecture Notes in Computer Science 3686, vol. 1, pp. 297-304. Heidelberg: © Springer-Verlag. Poster.

Casey, M.C. & Ahmad, K. (2004). In-situ Learning in Multi-net Systems. In Yang, Z.R., Everson, R. & Yin, H. (Eds), Proceedings of the 5th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2004), Lecture Notes in Computer Science 3177, pp. 752-757. Heidelberg: © Springer-Verlag. Presentation.

Ahmad, K., Casey, M.C., Vrusias, B. & Saragiotis, P. (2003). Combining Multiple Modes of Information using Unsupervised Neural Classifiers. In Windeatt, T. & Roli, F. (Eds), Proceedings of the 4th International Workshop on Multiple Classifier Systems (MCS 2003), Lecture Notes in Computer Science 2709, pp. 236-245. Heidelberg: © Springer-Verlag. Presentation.

Ahmad, K., Oliveira, P.C.F. de, Manomaisupat, P., Casey, M. & Taskaya, T. (2002). Description of Events: An Analysis of Keywords and Indexical Names. Proceedings of the Third International Conference on Language Resources and Evaluation, LREC 2002: Workshop on Event Modelling for Multilingual Document Linking, pp. 29-35.

Gillam, L., Ahmad, K., Ahmad, S., Casey, M., Cheng, D., Taskaya, T., Oliveira, P.C.F. de & Manomaisupat, P. (2002). Economic News and Stock Market Correlation: A Study of the UK Market. International Conference on Terminology and Knowledge Engineering, TKE 2002: Workshop on Making Money in the Financial Services Industry.

Edited Journals

Thesis

Casey, M.C. (2004). Integrated Learning in Multi-net Systems. Unpublished doctoral thesis. Guildford, UK: University of Surrey. Presentation.

Invited Talks

Smith, M. & Casey, M.C. (2012). Solving the Big Data Problem – Smart Ways to Work Together. Big Data: Turning Big Challenges into Big Opportunities, IET Seminar, 05/12/12. Presentation.

Casey,M.C. (2010). How Key Structures in the Brain Combine Sensory Modalities. Hot topic talk at the 5^th Summer School for Biomedical Engineering, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, and the Institute of Biomedical Engineering and Informatics of the Technical University, Ilmenau (2010), 19/08/10. Presentation.

Casey,M.C. (2010). Applied Hierarchical Pre-cortical Processing: Making Sense of (Sensory) Data. Seminar at the Natural Computing Applications Forum Meeting, University of Surrey, 12/07/10. Presentation.

Casey,M.C. (2009). Modelling the Sensory Hierarchy: From Gaze Shifts to Emotions. Seminar at the School of Computer Science, University of Birmingham, 09/02/09. Presentation.

Casey,M.C. (2009). Modelling the Sensory Hierarchy: From Gaze Shifts to Emotions. Seminar at the Natural Computing Applications Forum Meeting, University of Sunderland, 21/01/09. Presentation.

Casey,M.C. (2007). Making Sense from Models: Modelling the Senses with Multi-net Systems. Seminar at the Rochester Institute of Technology, Department of Computer Science on 27/11/07. Presentation.

Casey,M.C. (2006). You wanted to know what the Matrix is? Seminar at the University of Surrey, Department of Computing on 24/04/06. Presentation. Released via the IET.tv Research Channel.

Casey,M.C. (2005). Can We Count on Neural Networks? Modelling the 'Action of the Brain'. Seminar at the University of Birmingham, School of Computer Science on 21/11/05. Presentation.

Casey, M.C. (2004). Multi-net Systems. Seminar at the University of Manchester Institute of Science and Technology, Department of Electrical Engineering and Electronics on 21/04/04. Presentation.

Magazine Articles

Casey, M.C. (2007). Sensible Machines. Financial Sector Technology, vol. 13(3), pp. 25. Pre-print.

Ahmad, K., Taskaya-Temizel, T., Cheng, D., Manomaisupat, P., Ahmad, S., Gillam, L., Trablousi, H. & Casey, M.C. (2004). Fundamental Data to SATISFI the Chartist. The Technical Analyst, vol. 1(3), pp. 36-39.

Technical Reports

Kroustis, C. A. & Casey, M.C. (2008). Combining Heuristics and Q-learning in an Adaptive Light Seeking Robot. Computing Sciences Report CS-08-01. Guildford, UK: University of Surrey.

Shields, M. & Casey, M.C. (2006). A Theoretical Framework for Multiple Neural Network Systems. Computing Sciences Report CS-06-03. Guildford, UK: University of Surrey.

Miscellaneous

Casey, M.C. (2008). Routine Podcasting for Revision and Consolidation: Enhancing Native and Non-native English Speakers' Learning. Teaching with New Technologies Award Scheme. Final report.

Gillam, L., Casey, M.C. & Dear, G. (2007). Taking Computing Back to School. Proceedings of the 8th Annual Conference of the Higher Education Academy for Information and Computer Sciences.

Casey, M.C., Sowden, P., Yin, H. & Browne, A. (Eds) (2006). Proceedings of the Workshop on Biologically Inspired Information Fusion 2006. Guildford, UK: University of Surrey.

Burden, P., Lee, A., Casey, M.C., Marriott, J. & Moore, C. (2006). Personal Development Planning: Is it Working in Practice? University of Surrey Learning and Teaching Symposium 2006: Improving Student Learning through Teaching, Guildford, UK: University of Surrey.

Thomas, J., Casey, M.C. & Houston, S. (2006). Peer Mentoring: A Support Strategy Moulded by Students for Students. University of Surrey Learning and Teaching Symposium 2006: Improving Student Learning through Teaching, Guildford, UK: University of Surrey.

Teaching

I teach on the following modules:

• COM1027 Programming Fundamentals
• COM3007 Managing Information Systems

Projects

• Casey, M., Kirkby, K. & Hartley, N. (2008). Evaluating Researcher Development: Putting the Researchers in Control. Fund for Researcher Development 2008-9. Duration 1 year, value £24,600.
• Casey, M., Macfarlane, F., Brooks, R., Plant, N., Julier, T., Blair, F., Hughes, M., Regan, P., Morris, H., Lock, D. (2007). University of Surrey Festival of Research. Duration 10 months, value £12,000.
• Casey, M. (2007). Routine Podcasting for Revision and Consolidation: Enhancing Native and Non-native English Speakers’ Learning. University of Surrey Teaching with New Technologies Award Scheme. Duration 6 months, value £500.
• Gillam, L., Casey, M., Dear, G., Treharne, H., Carreon, M., Martin, A. & Holl, L. (2006). Taking Computing Back to School. HEA-ICS Development Fund and University of Surrey Widening Participation Local Initiative Fund. Duration 7 months, value £5,975.

Departmental Duties

I am the Faculty representative on the University's Senate.

Affiliations

• Fellow of the Higher Education Academy (FHEA)
• Chartered Engineer (CEng): Engineering Council
• Chartered Information Technology Professional (CITP): British Computer Society
• Professional Member (MBCS): British Computer Society: