Machine Learning and Explainable AI for Malware Detection
Funder: ESPRC Network Plus SPRITE+ Date: 2020 – 2021 Funding: £50,000 Partner: Birmingham City University, King’s College London, Cardiff University, University of Exeter, Trilateral Research Ltd. In this project we investigate the possibility of modelling the impact of AI or Machine Learning system on human dignity. This is within the research field of human-centred machine […]
The workshop is part of the Provenance Week, which is the leading international conference on anything provenance related (theory, application, practice, etc.). As the name indicates, the workshop aims to bring together the provenance and visualisation community. The workshop was initially scheduled for 2020, but rescheduled to 2021 because of covid19. More details on the […]
Funder: Defence Science and Technology Laboratory (Dstl), UK Date: 2019 Funding: £80,000 Partner: MASS Ltd In this project, we use the human-machine teaming approach to design a new visual analytics system that supports kill chain elicitation: The system allows user to mark up text in intelligence reports that may form part of a kill chain; […]
EuroVis/Computer Graphics Forum 2020 There is fast-growing literature on provenance-related research, covering aspects such as its theoretical framework, use cases, and techniques for capturing, visualizing, and analyzing provenance data. As a result, there is an increasing need to identify and taxonomize the existing scholarship. Such an organization of the research landscape will provide a complete […]
IEEE Computer Graphics and Applications (CG&A) 2020 TimeSets is a temporal data visualization technique designed to reveal insights into event sets, such as all the events linked to one person or organization. In this paper we describe two TimeSets-based visual analytics tools for intelligence analysis. In the first case, TimeSets is integrated with other visual […]
IEEE Computer Graphics and Applications (CG&A) 2020 Interactive data exploration and analysis is an inherently personal process. One’s background, experience, interests, cognitive style, personality, and other sociotechnical factors often shape such a process, as well as the provenance of exploring, analyzing, and interpreting data. This viewpoint posits both what personal information and how such personal […]
I am elected a Director for the UK Chapter of the EuroGraphics Association (EGUK), which is the leading UK professional organisation for everything Computer Graphics-related, including game, AR/VR, and data visualisation.
I am co-chairing the Machine Learning from User Interactions for Visualization and Analytics (MLUI) workshop this year. It is part of VisWeek 2020, which is the leading international conference on Visualisation (computer graphics, data visualisation, and visual analytics). The workshop is completely online this year, and you can find all the information on its website.
The Computer Graphics and Visual Computing conference is the UK conference on everything Visualisation related, including graphics, games, AR/VR, and data visualisation. This year’s conference is completely online because of the covid19. There is more information on the conference website.