I am a Associate Professor in Data Analytics at the Middlesex University, London
SPRITE+ is a research network funded by EPSRC, the UK research council on engineering and physical sciences. The focus of the research network is ‘Security, Privacy, Identity, Trust in the Digital Economy’. ‘Its academic Expert Fellows enable SPRITE+ to develop a multidisciplinary approach to realising its vision. Fellows provide intellectual leadership, take a leading role […]
Visual Analytics for Machine Learning
Extracting required information from documents is a common task in may research areas such as Human-Computer Interaction (HCI), Psychology, Sociology, Law, and Business. For example, in a study to understand the the decision making process in the England appeal court, the researchers need to analysis count documents like this. The needed information includes the name […]
The goal of this project is to understand how analysts make sense of data using data visualisation and/or machine learning. ‘Sensemaking’ is a bit broader than what is usually known as ‘data analysis’: as shown in the diagram (the ‘Pirolli-Card model’) it include: Searching for relevant data Extracting useful information Form of an understanding of […]
Hyperparameters are important to the performance of machine learning models. However, some models have many parameters and each parameter has many possible values, if not infinite. As a result, finding the best set of values for the hyperparameters can be time consuming. Currently people rely on previous experiences or methods such as ‘grid search’, but […]
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 […]
