Dr Kai Xu is an Associate Professor in Data Analytics at the Middlesex University. He has over 15 year experience in data visualisation and analytics research in both the academic and industry context. He has extensive experience working with the UK government departments and leading defence companies in data analytics projects and received over £12 million in total research funding. His work has won a few international data visualisation awards. More details here: https://kaixu.me/
CSD2500 Web Development (Module leader)
CSD3335 Social Network Analysis and Visual Analytics
CSD4030 Interaction and Visualisation
MSc by Research in Visual Analytics (program leader)
MSc by Research in Data Science (program co-leader)
Dr Kai Xu's research focuses on Visual Analytics, which integrates data visualisation with analytic techniques (such as Machine Learning and Natural Language Processing) to make sense of large and complex data (such as Big Data). By combining the strength of human cognition and computational analysis, this approach allows analysts to gain insight from Big Data faster and deeper than what was previously possible.
Xu, Kai and Zhang, Leishi and Pérez, Daniel and Nguyen, Phong H. and Ogilvie-Smith, Adam (2017) Evaluating interactive visualization of multidimensional data projection with feature transformation. Multimodal Technologies and Interaction, 1 (3). ISSN 2414-4088
Attfield, Simon and Hewitt, Daniel and Xu, Kai and Passmore, Peter J. and Wagstaff, Adrian and Phillips, Graham and Windridge, David and Dash, Greg and Chapman, Richard and Mason, Lee (2016) Addressing VAST 2016 mini challenge 2 with POLAR kermode, classifier, excel on a power wall and data timelines. In: IEEE VAST Challenge 2016, 23 Oct 2016, Baltimore, MD, USA.
Nguyen, Phong H. and Xu, Kai and Wong, B. L. William (2016) Interaction log and provenance for sensemaking. In: LIVVIL: Logging Interactive Visualizations & Visualizing Interaction Logs, 23 Oct 2016, Baltimore, MD, USA.
Salisu, Saminu and Xu, Kai and Wagstaff, Adrian and Biggs, Mike and Phillips, Graham (2016) TimeSets for uncertainty visualisation. In: EG UK Computer Graphics & Visual Computing 2016, 15-16 Sept 2016, Bournemouth, United Kingdom.
Nguyen, Phong H. and Xu, Kai and Bardill, Andy and Salman, Betul and Herd, Kate and Wong, B. L. William (2016) SenseMap: supporting browser-based online sensemaking through analytic provenance. In: VIS 2016: IEEE Visualization Conference, 23-28 Oct 2016, Baltimore, Maryland, USA.