Dr Alan Cannon
Research Fellow
Dr Alan Cannon is a Research Fellow at Edinburgh Napier University’s Institute for Informatics and Digital Innovation specializing in software evaluation, information visualization, interaction design and web technologies.
He is currently involved in the research and development of interactive web and intranet services. Previously he has been employed as usability engineer and evaluation expert on the 3 year MATSE visualization project as well as working on other research projects including Taxvis, Companions, Reorient and UK Timber Research Web Portal.
Areas of Expertise 
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Data and information are key assets for modern business. Large complex and incomplete datasets are common in industry. Exploiting that data successfully can give a major competitive advantage while, if it is not managed successfully, its value is often lost.
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Expressive interaction describes the range of new forms of human-computer interaction that are made available through technologies based on speech, touch and gesture. The opportunities presented by these developments promise to be far-reaching, enabling new forms of interaction with information...
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Information visualisation is the use of enhanced Graphical User Interfaces (GUIs) to communicate and interact with complex data sets such as social networks, multiattribute tables, and financial data. Pages of text and numbers are not the most effective way to communicate or understand information.
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The technologies that help us to organise and share information on the internet are changing the way we live and work. This information society or knowledge economy people affects is in all kinds of new ways – as individuals, groups and organisations.
Contact
a.cannon@napier.ac.uk
+44 (0)131 455 2437
Room C51
Merchiston Campus
10 Colinton Road
Edinburgh
EH10 5DT
Edinburgh
EH10 5DT
Recent Projects
The project involves the collaboration between Edinburgh Napier University and IIS Ltd. Its main focus is to design, develop and test software code for the creation of a novel cloud-based disk analysis product.
VDS holds data of varying quality on volunteering opportunities, volunteer involving organisations, research, services and learning using a variety of different systems. The aim of this project is to help develop an integrated, future-proof solution.
Recent Publications
Craig, P., Cannon, A., Kukla, R., Kennedy, J. (2013). MaTSE: the gene expression time-series explorer. BMC Bioinformatics.
Craig, P., Cannon, A., Kukla, R., Kennedy, J. (2012). MaTSE: The Microarray Time-Series Explorer. In: Roerdink, J., Hibbs, M. (Eds.) Proceedings of IEEE Symposium on Biological Data Visualization (BioVis), 2012 . (pp. 41-48). IEEE.
Craig, P., Kennedy, J., Kukla, R., Cannon, A. (2010). Pattern Browsing and Query Adjustment for the Exploratory Analysis and Cooperative Visualisation of Microarray Time-course Data. In: Luo, Y. (Ed.) Proceedings of the 7th International Conference on Cooperative Design, Visualisation and Engineering, 6240/2010. (pp. 199-206). Mallorca, Spain: Lecture Notes in Computer Science.
See all publications