Dr. Phil Legg is a Senior Lecturer in Computer Science and Programme Leader for MSc Cyber Security at the 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 Cyber Security, Visual Analytics, and Machine Learning. Other related interest areas include Vision and 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.
May 2018 - I served as an assessment panel member for the 2018 UKRI Centre for Doctoral Training in Artificial Intelligence outline stage.
April 2018 - I am a Program Chair for the International Conference on Engineering Applications of Neural Networks (EANN 2018), that will be held at UWE Bristol in September. I am also a Session Chair for Collective, Distributed and Multi-Criteria Decision-Making Approaches for Supporting Cyber-Physical Security Analytics at the IEEE International Conference on Systems, Man and Cybernetics (SMC 2018) - The Making of a Human-Centered Cyber World.
March 2018 - I have been appointed as programme leader for the new MSc Cyber Security at UWE Bristol. We are currently looking to recruit talented and motivated students who are interested to gain skills for dealing with modern threats in cyber space, for our first intake of September 2018. Please visit the course page for futher detail and information on how to apply.
February 2018 - Research by our team in the AI group (Smith, Legg, Matovic) and the UWE psychology department (Kinsey) has been accepted for journal publication in ACM Transactions on Interactive Intelligent Systems (TiiS). The paper, entitled "Predicting User's Confidence during Visual Decision Making" will be included in an upcoming special issue on the topic of Human-Centered Machine Learning.
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 Defence and Security Accelerator (DASA) project, entitled "HASTE: Human-centric Active-learning for decision Support in Threat Exploration" will commence from February 2018.
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".
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 email@example.com.
Human-centric Active-learning for decision Support in Threat Exploration
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 the Defence and Security Accelerator (DASA), part of the Defence Science and Technology Laboratory
Human-Centric Machine Learning
How can machine learning help us to understand human decision making processes? How can we understand and cater for the confidence of both user and machine? Can understanding confidence and process result in building greater trust between user and machine?
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:I am the Programme Leader for MSc Cyber Security at UWE Bristol. We are currently looking to recruit talented and motivated students who are interested to gain skills for dealing with modern threats in cyber space, for our first intake of September 2018. Please visit the course page for futher detail and information on how to apply.
Details on previous teaching, and other useful teaching resources are available here.
For all enquiries, please e-mail firstname.lastname@example.org
Department of Computer Science and Creative Technologies
University of the West of England