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      Dr Kai Xu

      BEng, PhD
      ROLE: Associate Professor in Data Analytics
      SCHOOL: Science & Technology
      DEPARTMENT: Computer Science
      TELEPHONE: +44 (0)20 8411 5510
      EMAIL: K.Xu@mdx.ac.uk
      1. Biography &
        Qualifications
      2. Learning &
        Teaching Interests
      3. Research Outputs &
        Interests
      4. Funded Research &
        Knowledge Exchange Projects
      5. Engagement &
        Impact

      • Biography &
        Qualifications

        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/

         


        Languages Spoken

        Chinese (Mandarin)

        English

      • Learning &
        Teaching Interests

        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)

      • Research Outputs &
        Interests

        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.

        Awards

        1. Honourable mention for Effective Support for Analytic Sensemaking, IEEE Visual Analytics Science and Technology (VAST) Challenge 2014
        2. Middlesex University Contribution Pay Scheme reward (for outstanding performance) 2013 & 2014
        3. Subject Matter Expert’s Award, IEEE Visual Analytics Science and Technology (VAST) Challenge 2012
        4. Winner, International Graph Drawing Contest (History of the World Cup category) 2006
        5. Siemens Prize for Commercialisation Potential, University of Sydney Research Conversazione 2005

        Selected Publications

        1. Nguyen, P. H., Xu, K., Wheat, A., Wong, B. W., Attfield, S., and Fields, B. Sensepath: Understanding sensemaking process through analytic provenance. IEEE Transactions on Visualization and Computer Graphics, vol. 22, no. 1, pp. 41-50, 2015.
        2. Nguyen, P. H., Xu, K., Walker, R., and Wong, B. W. Timesets: Timeline visualization with set relations. Information Visualization to appear (2016).
        3. Xu, S. Attfield, T.J. Jankun-Kelly, A. Wheat, P. H. Nguyen, and N. Selvaraj, “Analytic Provenance for Sensemaking: A Research Agenda”, IEEE Computer Graphics and Applications, 35, 03 (2015), 56-64.
        4. Choudhury, N. Kodagoda, P. Nguyen, C. Rooney, S. Attfield, K. Xu, Y. Zheng, B.L.W. Wong, R. Chen, G. Mapp, L. Slabbert, M. Aiash, and A. Lasebae, “Concern Level Assessment: Building Domain Knowledge into a Visual System to Support Network Security Situation Awareness,” Information Visualization, vol. 13 no. 4 pp. 346-360, 2014.
        5. Walker, A. Slingsby, J. Dykes, K. Xu, J. Wood, P. H. Nguyen, D. Stephens, B. L. W. Wong, and Y. Zheng, “An Extensible Framework for Provenance in Human Terrain Visual Analytics,” IEEE Transactions on Visualization and Computer Graphics, vol. 19, no. 12, pp. 2139–2148, 2013.
        6. Xu, C. Rooney, P. Passmore, D.-H. Ham, and P. H. Nguyen, “A User Study on Curved Edges in Graph Visualization,” IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 12, pp. 2449 –2456, 2012.

        Publication Feed

        Uncertainty of visualizations for SenseMaking in criminal intelligence analysis

        Islam, Junayed and Xu, Kai and Wong, B. L. William (2018) Uncertainty of visualizations for SenseMaking in criminal intelligence analysis. In: EuroRV3: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (2018), 04-08 June 2018, Brno, Czech Republic.

        Analytic provenance as constructs of behavioural markers for externalizing thinking processes in criminal intelligence analysis

        Islam, Junayed and Wong, B. L. William and Xu, Kai (2018) Analytic provenance as constructs of behavioural markers for externalizing thinking processes in criminal intelligence analysis. In: Community-Oriented Policing and Technological Innovations. Leventakis, Georgios and Haberfeld, M. R. , eds. SpringerBriefs in Criminology . Springer, pp. 95-105. ISBN 9783319892931

        Analytic provenance for criminal intelligence analysis

        Islam, Junayed and Xu, Kai and Wong, B. L. William (2018) Analytic provenance for criminal intelligence analysis. Chinese Journal of Network and Information Security, 4 (2). pp. 18-33. ISSN 2096-109X

        Evaluating interactive visualization of multidimensional data projection with feature transformation

        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

        Addressing VAST 2016 mini challenge 2 with POLAR kermode, classifier, excel on a power wall and data timelines

        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.

        View more publications

      • Funded Research &
        Knowledge Exchange Projects

        1. Co-investigator, €13,115,906, “VALCRI - Visual AnaLytics for sense-making in CRiminal Intelligence analysis”, EU FP7 project, 2014-2018 (http://valcri.org/)
        2. Principle investigator, £100,000, “TimeSets: Timeline visualisation for provenance-based big data sensemaking”, Defence Science and Technology Laboratory (dstl), 2016
        3. Co-investigator, £120,000, “Patterns of Life Visualisation Experimentation Pt. II”, funded by Defence Science and Technology Laboratory (dstl), 2014-2015
        4. Co-investigator, £195,000, “Multiple Source Information Assimilation to Support Decision Making”, Defence Science and Technology Laboratory (dstl), 2013-2015
        5. Principle investigator, £50,000, “Open-Source Big Data Insight”, Defence Science and Technology Laboratory (dstl), 2015
        6. Principle investigator, £20,000, “High-Dimensional Visualisation for Big Data”, funded by CGI Group (http://www.cgi-group.co.uk/), 2014-2015
        7. Co-investigator, £89,000, “Pattern of Life Visualisation Experimentation”, Defence Science and Technology Laboratory (dstl), 2014
        8. Co-investigator, £215,000, “Data Intensive Visual Analytics”, Engineering and Physical Sciences Research Council (ERSRC), 2012 ― 2013
        9. Co-investigator, £870,000, “UK Visual Analytics Consortium Joint Research Project”, Department of Homeland Security, US and Ministry of Defence, UK. 2011 ― 2013

      • Engagement &
        Impact

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