Previous Research Projects:

Human-Centric Machine Learning

How do humans explore and interact with machine learning processes? How do we incorporate human knowledge with machine learning?

Interactive Deep Learning for Event Prediction and Explanation

How can we learn about the current state of the world using interactive forms of machine learning?
PhD Student: Emmanuel Smith
Co-Supervised with Professor Jim Smith

Selected Publications
  • E. Smith, J. Smith, P. Legg and S. Francis. ``Predicting the Occurrence of World News Events using Recurrent Neural Networks and Auto-Regressive Moving Average Models'' Advances in Computational Intelligence Systems (To be presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK)

RicherPicture

How can we better understand, and better protect, our organisational situation awareness through business and threat-led machine learning?
Collaboration with University of Oxford
Funded by Defence Science and Technology Laboratory

Selected Publications
  • ``RicherPicture: Semi-automated cyber defence using context-aware data analytics'' International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA) 2017, London, UK [In Press].
Resources

Enhanced Personal Situational Awareness

How can we enhance our understanding and control of what information our devices are sharing out, and to whom they may be sharing?
Funded by Vice Chancellor's Early Career Researcher Award

Selected Publications
Resources

Corporate Insider Threat Detection

Machine learning and visual analytics for enhanced insider threat detection capabilities. (University of Oxford 2013-2015)

Selected Publications
  • ``Automated Insider Threat Detection System using User and Role-based Profile Assessment'' IEEE Systems Journal, 2015.
  • ``Caught in the Act of an Insider Attack: Detection and Assessment of Insider Threat'' IEEE Symposium on Technologies for Homeland Security, 2015.
  • ``Understanding insider threat: A framework for characterising attacks'' IEEE Security and Privacy Workshops, 2014.

Sports Video Visualization

Visual analytics and computer vision applications for making sense of player performance data, and improving sports coaching. (Swansea University 2010-2013)

Selected Publications
  • ``MatchPad: Interactive Glyph-Based Visualization for Real-Time Sports Performance Analysis'' Computer Graphics Forum, 2012.
  • ``Transformation of an uncertain video search pipeline to a sketch-based visual analytics loop'' IEEE Transactions on Visualization and Computer Graphics, 2013.
  • ``Hierarchical event selection for video storyboards with a case study on snooker video visualization'' IEEE Transactions on Visualization and Computer Graphics, 2011.

Mobile GeoCaption

Android mobile application development for generating automated captions for photographs using geographic, spatial, and temporal information. (Cardiff University 2010)

Medical Image Analysis

Automated multi-modal image registration for improving medical diagnosis and treatment of glaucoma disease. (Cardiff University 2006-2010)

Selected Publications
  • ``Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging'' Pattern Recognition, 2014.
  • ``Improving accuracy and efficiency of mutual information for multi-modal retinal image registration using adaptive probability density estimation'' Computerized Medical Imaging and Graphics, 2013.
  • ``A robust solution to multi-modal image registration by combining mutual information with multi-scale derivatives'' Medical Image Computing and Computer-Assisted Intervention, 2009.

Research Applicants

I am keen to support students who have potential research ideas that align with my interests - be it as a side-project or as a complete postgraduate research proposal. If this is something that interests you, please e-mail me and arrange a meeting to discuss your ideas further. Links for the UWE Graduate School resources, and relevant research groups, are available below.