Grigorios Loukides

Dept of Biomedical Informatics

Vanderbilt University

2525 West End Ave, Suite 800

Nashville, TN 37203

tel: +1 615 343 9172

I am a postdoctoral research fellow in the Department of Biomedical Informatics of Vanderbilt University working with Dr. Bradley Malin. I hold a PhD in Computer Science from Cardiff University and a BSc in Computer Science from University of Crete, Greece. My research interests lie broadly in the fields
of  security, privacy and trust in data management and emerging database applications. This involves identifying privacy threats, and exploiting the strengths
of database, statistics, and optimisation fields to develop methods that enable effective data analysis while protecting data subjects. I am also interested in
tackling practical and challenging privacy problems in health-data related environments, including electronic medical record and healthcare systems.

Publications

  1. G. Loukides, J. C. Denny and B. Malin. Do Clinical Profiles Constitute Privacy Risks for Research Participants?
    To appear in the Proc. of the American Medical Informatics Association (AMIA) Symposium, 2009
  2. G. Loukides, A. Tziatzios and J. Shao. Towards Preference-Constrained k-Anonymisation                                                                                          pdf
    To appear in the Proc. of the DASFAA International Workshop on Privacy-Preserving Data Analysis (PPDA), 2009.
  3. G. Loukides and J. Shao. An Empirical Study of Utility Measures for k-Anonymisation.                                                                                                pdf
    In the Proc. of the 25th British National Conference on Databases (BNCOD), 2008.
  4. G. Loukides and J. Shao. Data Utility and Privacy Protection Trade-off in k-Anonymisation.                                                                                         pdf
    In the Proc. of the First International EDBT Workshop on Privacy and Anonymity in the Information Society (PAIS), 2008.
  5. G. Loukides and J. Shao. An efficient clustering algorithm for k-Anonymisation.                                                                                                            pdf
    Journal of Computer Science and Technology, Vol. 23(2), 2008.
  6. G. Loukides and J. Shao. Greedy Clustering with Sample-Based Heuristics for k-Anonymisation.                                                                                 pdf
    In the Proc. of the First IEEE International Symposium on Data, Privacy, and E-Commerce (ISDPE), 2007.
    (Selected as one of the best four papers)
  7.  G. Loukides and J. Shao. Clustering-Based k-Anonymisation algorithms.                                                                                                                     pdf
    In the Proc. of the 18th International Conference on Database and Expert Systems Applications (DEXA), 2007.
  8. G. Loukides and J. Shao. Speeding up Clustering-Based k-Anonymisation Algorithms with Pre-partitioning.                                                                  pdf
    In the Proc. of the 24th British National Conference on Databases (BNCOD), 2007.
  9. G. Loukides and J. Shao. Capturing Data Usefulness and Privacy Protection in k-Anonymisation.                                                                                  pdf
    In the Proc. of the 22nd ACM Symposium on Applied Computing (SAC), 2007.
  10. G. Loukides and J. Shao. Towards Balancing Data Usefulness and Privacy Protection in k-Anonymisation.                                                                    pdf
    In the Proc. of the Sixth IEEE International Conference on Computer and Information Technology (CIT), 2006.
    (Excellent paper award)
  11. G. Loukides and J. Shao. Query-driven Data Anonymisation.                                                                                                                                        pdf
    In the Proc. of the 23rd British National Conference on Databases (BNCOD) PhD Forum, 2006.

           Reviewer

                    Data and Knowledge Engineering (DKE) Journal
                    International Conference on Data Mining (ICDM), 2009
                    Chapter for Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques, Ed. F. Bonchi and E. Ferrari, CRC Press, 2008
                    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2009
                    Privacy Enhancing Technologies Symposium (PETS), 2009
                    DASFAA International Workshop on Privacy-Preserving Data Analysis (PPDA), 2009               
                    EDBT Workshop on Privacy and Anonymity in the Information Society (PAIS), 2009
                    British National Conference on Databases (BNCOD), 2007, 2008