Dr. Phil Legg is a Senior Lecturer in Computer Science at University of the West of England (UWE Bristol), UK. His research interests cover a variety of topics within Computer Science, most notably in the areas of Visual Analytics, Cyber Security and Machine Learning. Other interest areas include Computer Vision, Computer Graphics, Data Visualisation, and Human-Computer Interaction. He has been delivering academic research and teaching for over 10 years, and has worked on a variety of collaborative projects across medical, sport, and cyber-security domains.
At UWE Bristol, he is an active researcher within the Artificial Intelligence Research Group and the Cyber Security Research Unit, both within the Department of Computer Science and Creative Technologies. Before joining UWE Bristol, previous positions had been held at Cardiff University, Swansea University, and the University of Oxford.
ResearchMany of the research projects I am involved with sit at the intersection of data visualisation, visual analytics, machine learning, and cyber security. I am keen to establish new multi-disciplinary collaborations so that my expertise can provide practical real-world solutions for others. I can also offer business consultancy to help transform research ideas into practical development of software tools. If you would like to discuss potential opportunities further then please e-mail me at firstname.lastname@example.org.
January 2018 - Our team (Legg, Smith, Preen) have been awarded funding by the Defence Science and Technology Laboratory (DSTL) in order to conduct research on human-machine collaboration. The Accelerator project, entitled "HASTE: Human-centric Active-learning for decision Support in Threat Exploration" will commence from February 2018.
December 2017 - I gave a guest lecture to the HCI research group at the University of Bristol, on ``Visual Analytics and Human-Machine Collaboration for Insider Threat Detection''. I was also invited to be a guest judge at the Techmodal Raspberry Pi developer contest.
November 2017 - I served on the National Cyber Security Centre (part of GCHQ) assessment panel for the Academic Centres of Excellence in Cyber Security Research Doctoral Studentships Programme.
October 2017 - Professor Min Chen (University of Oxford) presents our recent work at IEEE VIS in Phoenix, Arizona USA, on how communication theory can inform design separability in glyph visualisation, with a use case of visualising collaborative employee activity across complex shared file servers.
September 2017 - Emmanuel Smith presents our recent work on time-series event prediction using Long Short-Term Memory networks at the UK Workshop on Computational Intelligence in Cardiff.
August 2017 - I was invited to Adarga to give a talk on "Human-Machine Collaboration in Active Machine Learning".
July 2017 - Alexander Downing (1st Year Undergraduate at UWE Bristol) joins the AI research group on a 10-week Summer Internship scheme, working with Dr. Legg to develop visual analytic tools for interacting with machine learning processes.
June 2017 - Dr Arnau Erola (University of Oxford) presents our recent work for the DSTL-funded RicherPicture project, on context-aware data analytics for improving organisational cyber security at the International Conference of Cyber Situational Awareness, Data Analytics and Assessment (CyberSA) in London.
May 2017 - I was interviewed by the Bristol Post to advise on how to stay safe online, following the recent WannaCry global cyber attack.
January 2017 - My book chapter on developing human-machine decision support systems for insider threat detection has been accepted for the upcoming Springer edited book, "Data Analytics and Decision Support in Cybersecurity".
Human-Centric Machine Learning
How can machine learning help us to understand human decision making processes? How do we incorporate human knowledge with machine learning? How do humans explore and interact with machine learning processes?
Funded by Faculty of Environment and Technology HEFCE QR
- J. Smith, P. Legg, M. Matovic and K. Kinsey. Predicting User's Confidence during Visual Decision Making. ACM Transactions on Interactive Intelligent Systems (TiiS), 2018. [Accepted - In Press]
Creating Machine Intelligence with Intelligent Interactive Visualisation
How can we predict global news occurrences using deep learning techniques? How can we reason about the predictions of such a complex system using interactive visualisation techniques?
PhD Student: Emmanuel Smith
Co-Supervised with Professor Jim Smith
Funded by UWE 50-50 PhD Studentship Scheme in collaboration with Montvieux
- E. M. Smith, J. Smith, P. A. 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 (UK Workshop on Computational Intelligence), pp. 191-202, 2017. [pdf]
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
- A. Erola, I. Agrafiotis, J. Happa, M. Goldsmith, S. Creese and P. A. Legg. RicherPicture: Semi-automated cyber defence using context-aware data analytics. International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA), 2017. [pdf]
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
- P.A. Legg. Visual Analytics for Non-Expert Users in Cyber Situation Awareness. International Journal on Cyber Situational Awareness, 1(1), 2016, pp.54-73. [pdf]
- P.A. Legg. Enhancing Cyber Situation Awareness for Non-Expert Users using Visual Analytics. International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA) [CyberSA Best Paper], 2016. [pdf]
Visualizing the Insider Threat
How can visual analytics support and relay human intution back into machine learning detection tools?
Funded by Faculty of Environment and Technology HEFCE QR
- P.A. Legg. Visualizing the insider threat: challenges and tools for identifying malicious user activity. IEEE International Symposium on Visualization for Cyber Security (VizSec), 2015. [pdf]
During the 2017-2018 academic year, I am involved with the following modules:
Details on previous teaching, and other useful teaching resources are available here.
For all enquiries, please e-mail email@example.com
Department of Computer Science and Creative Technologies
University of the West of England