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Dr Dinusha VATSALAN

Position:Honorary Lecturer (Level B)
Email:JavaScript must be enabled to display this email address.
Personal website:http://scholar.google.com.au/citations?user=gQhiZhcAAAAJ&hl=en
Building:Off Campus
Groups:CS, Human, DMM
Staff category:Visitor

Research interests:

Data mining, record linkage, privacy-preserving record linkage, and health informatics.

Bio:

Dinusha Vatsalan is a Post-Doctoral Research Fellow in the Research School of Computer Science at the Australian National University (ANU). Dinusha is currently working on privacy-preserving record linkage (PPRL) of multiple databases as part of an Australian Research Council (ARC) Discovery Project grant. PPRL is the problem of identifying matching records from different databases that correspond to the same real-world entities without compromising privacy of the entities represented by the records. PPRL of multiple databases involves three key challenges: scalability, linkage quality, and privacy. The aim of this research is to develop efficient and scalable algorithms for linking databases from multiple parties (organizations) that achieve high linkage quality in the presence of data errors and provide sufficient privacy guarantees such that no sensitive information about the entities that can be used to infer their private data is revealed among the parties or to any external party.


Education:

Work Experience:

  • Post-Doctoral Research Fellow - Research School of Computer Science, Australian National University, Canberra, Australia, Oct 2014 - present.
  • Research Assistant - Research School of Computer Science, Australian National University, Canberra, Australia, Feb 2012 - May 2012; and Sep 2013 - Nov 2013.
  • Tutor - Research School of Computer Science, Australian National University, Canberra, Australia, Feb 2013 - Jun 2013.
  • Instructor - School of Computing, University of Colombo, Sri Lanka, Nov 2009 - Nov 2010.
  • Trainee Software Engineer - Aeturnum (Pvt) Ltd, Sri Lanka, Feb 2008 - Aug 2008.

Publications:

  • MERLIN - A Tool for Multi-Party Privacy-Preserving Record Linkage. Thilina Ranbaduge, Dinusha Vatsalan, and Peter Christen. Proceedings of the IEEE International Conference on Data Mining (ICDM'15), Atlantic City, November 2015 (Demo paper).
  • Efficient Entity Resolution with Adaptive and Interactive Training Data Selection. Peter Christen, Dinusha Vatsalan, and Qing Wang. Proceedings of the IEEE International Conference on Data Mining (ICDM'15), Atlantic City, November 2015 (Short paper).
  • Advanced Record Linkage Methods and Privacy Aspects for Population Reconstruction - A Survey and Case Studies. Peter Christen, Dinusha Vatsalan, and Zhichun Fu. Population Reconstruction. G. Bloothoooft, P. Christen, K. Mandemakers, and M. Schraagen (editors), Springer, 2015. Chapter available online from Springer.
  • Efficient Interactive Training Selection for Large-scale Entity Resolution. Qing Wang, Dinusha Vatsalan, and Peter Christen. Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'15), Ho Chi Minh City, Vietnam, May 2015 (Full paper). Paper (pdf, 471 KB) available online from Springer.
  • Clustering-based Scalable Indexing for Multi-party Privacy-preserving Record Linkage. Thilina Ranbaduge, Dinusha Vatsalan, and Peter Christen. Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'15), Ho Chi Minh City, Vietnam, May 2015 (Full paper). Paper (pdf, 382 KB) available online from Springer.
  • Large-Scale Multi-party Counting Set Intersection Using a Space Efficient Global Synopsis. Dimitrios Karapiperis, Dinusha Vatsalan, Vassilios S. Verykios, and Peter Christen. Proceedings of the 20th International Conference on Database Systems for Advanced Applications (DASFAA'13), Hanoi, Vietnam, April 2015 (Full Paper). Paper available online from Springer.
  • Scalable and Approximate Privacy-Preserving Record Linkage. Dinusha Vatsalan. PhD Thesis, Research School of Computer Science, College of Engineering and Computer Science, The Australian National University, October 2014. Thesis available online at ANU Digital Theses.
  • Scalable Privacy-Preserving Record Linkage for Multiple Databases. Dinusha Vatsalan and Peter Christen. Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM'13), Shanghai, China, November 2014 (Poster paper). Paper (pdf, 460 KB) available online from ACM Digital Library.
  • Tree Based Scalable Indexing for Multi-Party Privacy-Preserving Record Linkage. Thilina Ranbaduge, Peter Christen, Dinusha Vatsalan. Proceedings of the 12th Australasian Data Mining Conference, Brisbane, Australia, November 2014 (Full paper). Paper (pdf, 754 KB) available online.
  • An evaluation framework for privacy-preserving record linkage. Dinusha Vatsalan, Peter Christen, Christine M. O'Keefe, and Vassilios S. Verykios. In Journal of Privacy and Confidentiality (CMU), volume 6, issue 1, 2014, Pages 35-75. Article available online at http://repository.cmu.edu/jpc/vol6/iss1/3.
  • Challenges for privacy preservation in data integration. Peter Christen, Dinusha Vatsalan, and Vassilios S. Verykios. Journal of Data and Information Quality (ACM), volume 5, issue 1-2, September 2014. Article available online at http://dl.acm.org/citation.cfm?id=2629604.
  • A taxonomy of privacy-preserving record linkage techniques. Dinusha Vatsalan, Peter Christen, and Vassilios S. Verykios. In Journal of Information Systems (Elsevier), volume 38, issue 6, September 2013, Pages 946-969. Article available online at http://dx.doi.org/10.1016/j.is.2012.11.005.
  • Efficient two-party private blocking based on sorted nearest neighborhood clustering. Dinusha Vatsalan, Peter Christen, and Vassilios S. Verykios. Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM'13), San Francisco, United States, October 2013 (Full paper). Paper (pdf, 5.5 MB) available online from ACM Digital Library.
  • Flexible and extensible generation and corruption of personal data. Peter Christen and Dinusha Vatsalan. Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM'13), San Francisco, United States, October 2013 (Poster paper). Paper (pdf, 394 KB) available online from ACM Digital Library.
  • GeCo: an online personal data generator and corruptor. Khoi-Nguyen Tran, Dinusha Vatsalan, and Peter Christen. Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM'13), San Francisco, United States, October 2013 (Demo paper). Paper (pdf, 592 KB) available online from ACM Digital Library.
  • Sorted Nearest Neighborhood Clustering for Efficient Private Blocking. Dinusha Vatsalan and Peter Christen. Proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'13), Gold Coast, Australia, April 2013 (Full paper). Paper (pdf, 456 KB) available online from Springer.
  • An Iterative Two-Party Protocol for Scalable Privacy-Preserving Record Linkage. Dinusha Vatsalan and Peter Christen. Proceedings of the 10th Australasian Data Mining Conference (AusDM'12), Sydney, December 2012 (Full paper). Paper (pdf, 682 KB) available online from Conferences in Research and Practice in Information Technology (CRPIT), vol. 134.
  • An Efficient Two-Party Protocol for Approximate Matching in Private Record Linkage. Dinusha Vatsalan, Peter Christen and Vassilios Verykios. Proceedings of the 9th Australasian Data Mining Conference (AusDM'11), Ballarat, December 2011 (Full paper). Paper (pdf, 880 KB) available online from Conferences in Research and Practice in Information Technology (CRPIT), vol. 121.
  • eClinics Integration Techniques for Clinical Information Systems Moving in to a National Network. Dinusha Vatsalan, Shiromi Arunatilake, Keith Chapman, Saatviga Sudhahar, Chamal Abeywardhana. In Sri Lanka Journal of Bio-Medical Informatics, volume 2, issue 4, June 2012, Pages 130-143. Article available online at http://dx.doi.org/10.4038/sljbmi.v2i4.2257.
  • Mobile technologies for enhancing eHealth solutions in developing countries. Dinusha Vatsalan, Shiromi Arunatileka, Keith Chapman, Gihan Senaviratne, Saatviga Sudahar, Dulindra Wijetileka, Yvonne Wickramasinghe. Proceedings of the 2nd International Conference on eHealth, Telemedicine and Social Medicine (eTelemed 2010), Sint Maarten, Netherlands Antilles (Full paper). Paper (pdf, 571 KB) available online from IEEE Xplore.
  • Enhancing e-Health using m-Communication in Developing Countries. Dinusha Vatsalan, Shiromi Arunatileka, Keith Chapman, Gihan Senaviratne, Saatviga Sudahar, Dulindra Wijetileka, Yvonne Wickramasinghe. Proceedings of the 5th eIndia Conference 2009, Hyderabad, India (Full paper). Paper available online from elets online.

Selected Presentations:

  • Techniques for Scalable Privacy-preserving Record Linkage. Peter Christen, Vassilios S. Verykios, and Dinusha Vatsalan. Tutorial at the 22nd ACM International Conference on Information and Knowledge Management (CIKM'13), San Francisco, United States, October 2013. Slides (pdf, 2.6 MB).
  • Scalable Privacy-preserving Record Linkage. Dinusha Vatsalan and Peter Christen. Invited presentation at the Australian Bureau of Statistics, Canberra, Australia, June 2013. Slides (pdf, 3 MB).
  • An Iterative Two-Party Protocol for Privacy-Preserving Record Linkage using Bloom Filters. Dinusha Vatsalan and Peter Christen. Invited presentation at the SAX Institute, Sydney, Australia and NICTA, Sydney, Australia, December 2012. Slides (pdf, 2.4 MB).

Awards & Scholarships:

  • Endeavour Postgraduate Research Award - Awarded by the Australian Government, DEEWR, 2011.
  • Recognition of Women in Data Mining Citation - Awarded by AusDM 2011 Conference, 2011.
  • NBQSA Silver Award - National Best Quality Software Awards, ViduSuwa Project, eHealth Track, 2010.
  • Manthan Award South Asia - South Asia’s Best e-Content Award, ViduSuwa Project, eHealth Track, 2009.
  • eSwabhimani Award - National Best e-Content Award, ViduSuwa Project, eHealth and Environment Category, 2009.
  • eIndia 2009 Speaker Award - Awarded by the eIndia Conferece, eHealth Track, 2009.

Professional Services:

  • Reviewer - Transactions on Knowledge and Data Engineering (TKDE) 2015; Journal of Knowledge and Information Systems (KAIS) 2015; Journal of BioMed Central (BMC) Medical Research Methodology 2015; Algorithms Journal 2015; IEEE International Conference on Data Mining Workshops on Data Integration and Applications (DINA) 2014 and 2015; and AusDM Conferences 2014 and 2015.
  • External Reviewer - IEEE ICDM 2015, Springer PAKDD 2014, 2015; ACM Knowledge Discovery and Data mining (KDD) 2015; and Journal of Privacy and Confidentiality (CMU) 2015.
  • Co-organizer - First International Workshop on Population Informatics for Big Data (PopInfo) 2015.
  • Program Committee Member - IEEE International Conference on Data Mining (ICDM) Workshops on Data Integration and Applications (DINA) 2014 and 2015; and AusDM Conferences 2014 and 2015.

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