Open-Source Big Data Insight (2014-2015, £80k)

A project to build the Big Data infrastructure /Data Lake for the visual analysis of open-source intelligence data.


Provenance for Sensemaking Workshop at IEEE VIS 2014 (Paris, France)

I am co-chairing a workshop on Provenance and Sensemaking at the IEEE VIS conference week in Paris. The submission deadline has now passed, but you can still join the discussions at the workshop during the conference. Hope to see you there!


VAST Visual Analytics Challenge 2014 – Honorable Mention

This year, the Visual Analytics challenge organised by the IEEE VAST (Visual Analytics Science & Technology) conference again had a mini-challenge on Twitter data, and it is (near) real-time this time. The task is to monitor the Twitter feed and provide (near) real-time updates on important events that are happening and find information related to a suspected kidnapping.

Our entry won a ‘Honorable Mention for Effective Support for Analytic Sensemaking’, a step away from getting an award. You can see the system working in the demo video below (best in full screen with sound on).


Invited Talk at the Data Visualisation Workshop

The workshop is organised by the Creative Industry Knowledge Transfer Network and was held at the Nesta in London. The workshop had some excellent speakers and I am quite honoured to be invited. Below are the presentation slides.

TVCG/VAST 2013: An Extensible Framework for Provenance in Human Terrain Visual Analytics


The paper is accepted by the VAST 2013 conference and will appear in the IEEE Transactions on Visualization and Computer Graphics. It provides visualisation for different uncertainties in Human Terrain Analyisis and a way to construct narratives of the visual exploration discoveries. PDF

Visiting Daniel Keim’s Visual Analytics Group at University of Konstanz in Germany

With the support from the EU Erasmus funding, I spend a week at the Visual Analytics group led by Prof. Daniel Keim, who is the leading expert on this topic. Konstanz is a nice city in southern Germany, and very busy in summer because of its location and lake. I will definitely want to go back and spend a bit more time there. Below is the talk I gave there about the Data- Intensive Visual Analytics (DIVA) project.

2012-2013, Co-Investigator, Data Intensive Visual Analytics (DIVA), £220,000

This is jointly funded by the UK Research Council EPSRC (Engineering and Physical Sciences Research Council) and Defence Science and Technology Laboratory (dstl).


Besides the Middlesex University, there are three other partners in the research consortium: City University (principle investigator), Loughborough University, and Defence Science and Technology Laboratory (dstl).

The project aims to design and develop novel Visual Analytics techniques to address the data quality and uncertainty issues commonly encountered in Social Media analysis. Examples of such issues include the reliability of data source, errors and missing data, artefacts introduced by the analysis algorithms, and human bias in the decision making process. An important part to the solution will be the ‘provenance’, which is the detailed information of the entire decision making life cycle from data collection to reasoning and sense making. Provenance is expected to play a key role in identifying and tracking the data quality and uncertainty issues mentioned previously.

The initial application will be Human Terrain Analysis that provides Army troops with social insights into local population by integrative analysis of social media (e.g., Twitter) together with a range of other intelligence information (e.g., demographics). The results of Human Terrain Analysis will allow the ground troops to choose the appropriate engagement strategy with local communities and avoid any unnecessary confrontation and loss of life. The research outcomes are expected to later extend to other domains such cyber security, finance, and public health.