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The Australian National University
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Ms Dinusha VATSALAN

Position:PhD student
Email:JavaScript must be enabled to display this email address.
Personal website:http://scholar.google.com.au/citations?user=gQhiZhcAAAAJ&hl=en
Phone:57060
Building:CSIT (108)
Room:N323
Groups:CS, Human
Staff category:Student

Research interests:

Data mining, Record linkage, Privacy-preserving record linkage, and Health informatics.

Bio:

I'm a PhD student in the Research School of Computer Science at the Australian National University (ANU). I'm currently working on privacy-preserving record linkage techniques (PPRL). 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 those records. A viable solution for PPRL that is well-applicable to real-world conditions needs to address the major aspect of scalability of linking large databases while achieving high linkage quality and providing sufficient privacy guarantees. The main goal of my research study is to develop scalable techniques for efficient private indexing, approximate private matching, and effective private classification in PPRL. My supervisors are Peter Christen, Vassilios S. Verykios, and Lexing Xie.


Education:

  • BSc. (Hons) Information and Communication Technology with first class from University of Colombo School of Computing (2009)

Work Experience:

Publications:

  • A taxonomy of privacy-preserving record linkage techniques. Dinusha Vatsalan, Peter Christen, and Vassilios S. Verykios. In 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.
  • Sorted Nearest Neighborhood Clustering for Efficient Private Blocking. Dinusha Vatsalan and Peter Christen. Proceedings of the Seventeenth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'13), Gold Coast, Australia, April 2013. Article available online from Springer Link.
  • An Iterative Two-Party Protocol for Scalable Privacy-Preserving Record Linkage. Dinusha Vatsalan and Peter Christen. Proceedings of the Tenth Australasian Data Mining Conference (AusDM'12), Sydney, December 2012. Paper, (pdf, 279 KB)
  • An Efficient Two-Party Protocol for Approximate Matching in Private Record Linkage. Dinusha Vatsalan, Peter Christen and Vassilios Verykios. Proceedings of the Ninth Australasian Data Mining Conference (AusDM'11), Ballarat, December 2011. Paper (pdf, 880 KB) available online from Conferences in Research and Practice in Information Technology (CRPIT), vol. 121.
  • Mobile technologies for enhancing eHealth solutions in developing countries. Dinusha Vatsalan, Shiromi Arunatileka, Keith Chapman, Gihan Senaviratne, Saatviga Sudahar, Dulindra Wijetileka, Yvonne Wickramasinghe. In the proceedings of IEEE Xplore in conjunction with the Second International Conference on eHealth, Telemedicine and Social Medicine (eTelemed 2010), Sint Maarten, Netherlands Antilles. Paper (pdf, 571 KB)

Awards & Scholarships:

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