I am a Associate Professor in Data Analytics at the Middlesex University, London
Epidemics (journal) This paper describes the collaborative efforts from the RAMPVIS consortium to help the epidemiologists modelling the various aspects of Covid19, including the spread of the disease and the impact of different isolation policies. Started as a voluntary effort, there are many challenges faced by the group of close to 20 visualisation experts, including […]
The Computer Graphics and Visual Computing (CGVC) conference is the annual conference organised by EuroGraphics UK chapter. It covers everything Visualisation related, including graphics, games, AR/VR, and data visualisation. This is the second year the conference is completely online because of the covid19. There is more information on the conference website.
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 […]
EPSRC, 2021-2022, £430,000 This is a collaborative efforts with many visualisation researchers across the UK to provide visual analytics support in the fight against Covid-19. It started as a volunteer effort, led by Prof. Min Chen from Oxford University. A team of 20 visualisation researchers from over 10 different universities worked closely with epidemiologists who […]
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 […]
Human-Machine Learning 
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