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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

        • MSc by Research in Visual Analytics (program leader)
        • MSc by Research in Data Science (program co-leader)
        • CSD2500 Web Development (module leader)
        • CSD3335 Social Network Analysis and Visual Analytics
        • CSD4060 Visual Data Analysis (module 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. Project of the Year Award, Middlesex University, 2018
        2. Honourable mention for Effective Support for Analytic Sensemaking, IEEE Visual Analytics Science and Technology (VAST) Challenge 2014
        3. Middlesex University Contribution Pay Scheme reward (for outstanding performance) 2013 & 2014
        4. Subject Matter Expert’s Award, IEEE Visual Analytics Science and Technology (VAST) Challenge 2012
        5. Winner, International Graph Drawing Contest (History of the World Cup category) 2006
        6. Siemens Prize for Commercialisation Potential, University of Sydney Research Conversazione 2005

        Selected Publications

        1. Islam, Junayed and Wong, B. L. William and Xu, Kai, “Analytic provenance as constructs of behavioural markers for externalizing thinking processes in criminal intelligence analysis”, in “Community-Oriented Policing and Technological Innovations”, Springer, pp. 95-105, 2018.
        2. Kai Xu, Leishi Zhang, Daniel Pérez, Phong H. Nguyen, Adam Ogilvie-Smith, ‘Evaluating interactive visualization of multidimensional data projection with feature transformation’, Multimodal Technologies and Interaction, Special Issue on Coupling Computation and Human Cognition through Interaction Design, vol. 1, no. 3, 2017.
        3. Phong Nguyen, Kai Xu, Andy Bardill, Betul Salman, Kate Herd, William Wong, ‘SenseMap: Supporting Browser-based Online Sensemaking through Analytic Provenance’. IEEE Conference on Visual Analytics Science and Technology (IEEE VAST), 2016
        4. 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, 2016.
        5. Nguyen, P. H., Xu, K., Walker, R., and Wong, B. W. ‘Timesets: Timeline visualization with set relations’. Information Visualization, vol. 15, no. 3, 253-269,
        6. 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, vol. 35, no. 3, pp, 56-64, 2015.
        7. 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.
        8. 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.
        9. 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.
        10. Wong, R. Chen, N. Kodagoda, C. Rooney, and K. Xu, “INVISQUE: Intuitive Information Exploration through Interactive Visualization,” in Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems (CHI), 2011, pp. 311–316.
        11. S. Li, K. Xu, and M. R. Wilkins, “Visualisation and Analysis of the Complexome Network of Saccharomyces Cerevisiae,” Journal of Proteome Research (Impact Factor 5.46), vol. 10, no. 10, pp. 4744–4756, 2011.
        12. Deng, X. Zhou, H. T. Shen, Q. Liu, K. Xu, and X. Lin, “A multi-Resolution Surface Distance Model for k-NN Query Processing,” The International Journal on Very Large Data Bases (Impact Factor 6.80), vol. 17, no. 5, pp. 1101–1119, 2008.
        13. Xu, X. Zhou, X. Lin, H. T. Shen, and K. Deng, “A Multiresolution Terrain Model for Efficient Visualization Query Processing,” IEEE Transaction on Knowledge and Data Engineering (Impact Factor 2.29), vol. 18, no. 10, pp. 1382–1396, 2006.

        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

        Interaction log and provenance for sensemaking

        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.

        View more publications

      • Funded Research &
        Knowledge Exchange Projects

        1. Principle investigator, US$20,000, “Data Science – Combining Data Visualization with Machine Learning to Make Sense of Large Social Media Data”, Microsoft Azure Research Award, 2018-2019
        2. Co-investigator, £50,000, “The Connected Vehicles”, funded by Department for Transport and City of York Council,
        3. Co-investigator, €13,115,906, “VALCRI - Visual AnaLytics for sense-making in CRiminal Intelligence analysis”, EU FP7 project, 2014-2018 (http://valcri.org/)
        4. Principle investigator, £100,000, “TimeSets: Timeline visualisation for provenance-based big data sensemaking”, Defence Science and Technology Laboratory (dstl), 2016
        5. Co-investigator, £120,000, “Patterns of Life Visualisation Experimentation Pt. II”, funded by Defence Science and Technology Laboratory (dstl), 2014-2015
        6. Co-investigator, £195,000, “Multiple Source Information Assimilation to Support Decision Making”, Defence Science and Technology Laboratory (dstl), 2013-2015
        7. Principle investigator, £50,000, “Open-Source Big Data Insight”, Defence Science and Technology Laboratory (dstl), 2015
        8. Principle investigator, £20,000, “High-Dimensional Visualisation for Big Data”, funded by CGI Group (http://www.cgi-group.co.uk/), 2014-2015
        9. Co-investigator, £89,000, “Pattern of Life Visualisation Experimentation”, Defence Science and Technology Laboratory (dstl), 2014
        10. Co-investigator, £215,000, “Data Intensive Visual Analytics”, Engineering and Physical Sciences Research Council (ERSRC), 2012 ― 2013
        11. 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

        1. Organiser of the Dagstuhl Seminar on “Provenance and Logging for Sense Making”, 2018.
        2. Member of the EPSRC Peer Review Associate College
        3. Program Committee member, The IEEE VGTC Eurographics Conference on Visualisation (Eurovis) 2015, 2017
        4. Co-chair, “Provenance for Sensemaking” Workshop at IEEE VIS 2014, November 2014, Paris, France.
        5. Co-chair, “International Workshop on Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics” (VISUAL2014), November 2014, Linköping, Sweden.

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