I am a Associate Professor in Data Analytics at the Middlesex University, London
Background This project closely relates to the Visual Analytics for Sensemaking project. Please check that project webpage for the introduction on sensemaking. A published paper describing the idea and a link to a online demo are available on this page. The goal of this project is to understand how users make sense of data by […]
IEEE Transaction on Visualisation and Computer Graphics (TVCG) Understanding user behavior patterns and visual analysis strategies is a long-standing challenge. Existing approaches rely largely on time-consuming manual processes such as interviews and the analysis of observational data. While it is technically possible to capture a history of user interactions and application states, it remains difficult […]
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
Background 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 […]
Background The goal of this project is to understand how users (general public or domain experts) make sense of data using data visualisation and/or machine learning, and build tools to support them. ‘Sensemaking’ is a bit broader than what is usually known as ‘data analysis’, as shown in the diagram below (the ‘Pirolli-Card model’): Searching […]
Background While there are some efforts to automate the process of build machine learning model (commonly known as ‘AutoML’), there are many tasks in the different stages of a data science pipeline (see the diagram below) cannot be fully automated. For example, for ‘Data Wrangling’ a decision has to be made which dataset to get. […]
Human-Machine Learning 
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