Dr Dinusha Vatsalan

Honorary Lecturer (Level B)
Research Area:

CSIRO

Dinusha Vatsalan is a 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 and dynamic and temporal PPRL for creating the social genome as part of Australian Research Council (ARC) Discovery Projects DP130101801 and DP160101934. 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. Further, developing efficient masking and matching techniques for dynamic and temporal data is challenging as the techniques need to be able to adapt to new data characteristics.The aim of this research is to develop efficient and scalable algorithms for linking dynamic and temporal 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:

  • Research Fellow (Level B) - 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:

  • Privacy-Preserving Record Linkage for Big Data: Current Approaches and Research Challenges. Dinusha Vatsalan, Ziad Sehili, Peter Christen, and Erhard Rahm. Book chapter in Big Data Handbook, Springer, 2016.
  • Scalable privacy-preserving linking of multiple databases using counting Bloom filters. Dinusha Vatsalan, Peter Christen, and Erhard Rahm. Proceedings of the ICDMW on Privacy and Discrimination in Data Mining (PDDM), Barcelona, Spain, December 2016. An extended version of the article is available in arXiv proceedings.
  • Regression classification for improved temporal record linkage. Yichen Hu, Qing Wang, Dinusha Vatsalan, and Peter Christen. Proceedings of the AusDM, Canberra, December 2016.
  • Scalable Block Scheduling for Efficient Multi-Database Record Linkage. Thilina Ranbaduge, Dinusha Vatsalan, and Peter Christen. Proceedings of the IEEE International Conference on Data Mining (ICDM'16), Barcelona, Spain, December 2016.
  • Evaluation of advanced techniques for multi-party privacy-preserving record linkage on real-world health databases. Thilina Ranbaduge, Dinusha Vatsalan, Sean Randall, and Peter Christen. Proceedings of the International Population Data Linkage Conference, Swansea, Wales, August 2016. Abstract available online at http://www.ipdlnconference2016.org/Programme/Abstract/89
  • Efficient Record Linkage Using a Compact Hamming Space. Dimitrios Karapiperis, Dinusha Vatsalan, Vassilios Verykios, and Peter Christen. Proceedings of the 19th International Conference on Extending Database Technology (EDBT'16), Bordeaux, France, March 2016. Paper (pdf, 1.9MB) available online in Open Proceedings.
  • Hashing-based Distributed Multi-party Blocking for Privacy-preserving Record Linkage. Thilina Ranbaduge, Dinusha Vatsalan, Peter Christen, and Vassilios Verykios. Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'16), Auckland, New Zealand, April 2016. Paper (pdf, 532 KB) available online from Springer Link.
  • Automatic Discovery of Abnormal Values in Large Textual Databases. Peter Christen, Ross Gayler, Khoi-Nguyen Tran, Jeffrey Fisher and Dinusha Vatsalan. Journal of Data and Information Quality (ACM), volume 7, issue 1-2, April 2016. Article available online at dx.doi.org/10.1145/2889311
  • Privacy-preserving matching of similar patients. Dinusha Vatsalan and Peter Christen. Journal of Biomedical Informatics (Elsevier), volume 59, February 2016, Pages 285-298. Article available online at doi:10.1016/j.jbi.2015.12.004.
  • 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 Addaptive 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. Invited book chapter in Population Reconstruction. Gerrit Bloothooft, Peter Christen, Kees Mandemakers, and Marijn Schraagen (editors). Springer, August 2015.
  • 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 Link.
  • 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 Link.
  • 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 Link.
  • 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 Link. An extended version of the article is available in arXiv proceedings.
  • 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. (One of the most cited Information Systems articles - http://www.journals.elsevier.com/information-systems/most-cited-articles)
  • 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 Link.
  • 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 Link.
  • 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 Link.
  • 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 Link.
  • 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:

  • Advanced Techniques for Privacy-Preserving Linking of Multiple Large Databases. Dinusha Vatsalan. Presentation at the Data Linkage and Anonymization Programme by the Isaac Newton Institute for Mathematical Sciences, University of Cambridge, September 2016. Slides (pdf, 2.7MB).
  • A Tutorial on Population Informatics using Big Data. Peter Christen, Hye-Chung Kum, Qing Wang, and Dinusha Vatsalan. Tutorial at the Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Auckland, New Zealand, April 2016. Slides (pdf, 15MB).
  • 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:

  • Early Career Researcher Travel Award - Funded by the Australian National University, 2016.
  • Data Linkage and Anonymisation Programme participant -  Funded by the Isaac Newton Institute for Mathematical Sciences, Cambridge, UK, 2016.
  • Investigator and mentor for the project Privacy-preserving medical data linkage - Awarded by Google Summer of Code 2016.
  • Co-investigator for the project Advancing data integration: Privacy and semantics for record linkage - Awarded by the Australia-Germany Joint Research Cooperation Scheme, 2015-2016.
  • Endeavour Postgraduate Research Award - Awarded by the Australian Government, DEEWR, 2011.
  • Recognition of Women in Data Mining Citation - Awarded by AusDM 2011 Conference, 2011.
  • Overall Batch Top - Ranked first in BSc (Hons) in Information and Communication Technology, University of Colombo, Sri Lanka, 2005-2009.
  • NBQSA Silver Award - National Best Quality Software Awards, ViduSuwa eHealth Project, eHealth Track, 2010.
  • Manthan Award South Asia - South Asia's Best e-Content Award, ViduSuwa eHealth Project, eHealth Track, 2009.
  • eSwabhimani Award - National Best e-Content Award, ViduSuwa eHealth Project, eHealth and Environment Category, 2009.
  • eIndia 2009 Speaker Award - Awarded by the eIndia Conferece, eHealth Track, 2009.

Professional Services:

  • Reviewer - Journal of Information Systems (JIS) 2016; Transactions on Knowledge and Data Engineering (TKDE) 2015, 2016; Journal of Knowledge and Information Systems 2015, 2016; Journal of BioMed Central (BMC) Medical Research Methodology 2015; Journal of Algorithms 2015; IEEE International Conference on Data Mining Workshop on Data Integration and Applications (DINA) 2014 - 2016; and AusDM Conferences 2014 - 2016.
  • 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.
  • Program Committee Member - Asia-Pacific Symposium on Intelligent and Evolutionary Systems (IES 2016); IEEE International Conference on Data Mining (ICDM) Workshop on Data Integration and Applications (DINA) 2014 - 2016; and AusDM Conferences 2014 - 2016.

 

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

 

  • Privacy-Preserving Record Linkage for Big Data: Current Approaches and Research Challenges. Dinusha Vatsalan, Ziad Sehili, Peter Christen, and Erhard Rahm. Book chapter in Big Data Handbook, Springer, 2016.
  • Scalable privacy-preserving linking of multiple databases using counting Bloom filters. Dinusha Vatsalan, Peter Christen, and Erhard Rahm. Proceedings of the ICDMW on Privacy and Discrimination in Data Mining (PDDM), Barcelona, Spain, December 2016.
  • Regression classification for improved temporal record linkage. Yichen Hu, Qing Wang, Dinusha Vatsalan, and Peter Christen. Proceedings of the AusDM, Canberra, December 2016.
  • Scalable Block Scheduling for Efficient Multi-Database Record Linkage. Thilina Ranbaduge, Dinusha Vatsalan, and Peter Christen. Proceedings of the IEEE International Conference on Data Mining (ICDM'16), Barcelona, Spain, December 2016.
  • Evaluation of advanced techniques for multi-party privacy-preserving record linkage on real-world health databases. Thilina Ranbaduge, Dinusha Vatsalan, Sean Randall, and Peter Christen. Proceedings of the International Population Data Linkage Conference, Swansea, Wales, August 2016. Abstract available online at http://www.ipdlnconference2016.org/Programme/Abstract/89
  • Efficient Record Linkage Using a Compact Hamming Space. Dimitrios Karapiperis, Dinusha Vatsalan, Vassilios Verykios, and Peter Christen. Proceedings of the 19th International Conference on Extending Database Technology (EDBT'16), Bordeaux, France, March 2016. Paper (pdf, 1.9MB) available online in Open Proceedings.
  • Hashing-based Distributed Multi-party Blocking for Privacy-preserving Record Linkage. Thilina Ranbaduge, Dinusha Vatsalan, Peter Christen, and Vassilios Verykios. Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'16), Auckland, New Zealand, April 2016. Paper (pdf, 532 KB) available online from Springer Link.
  • Automatic Discovery of Abnormal Values in Large Textual Databases. Peter Christen, Ross Gayler, Khoi-Nguyen Tran, Jeffrey Fisher and Dinusha Vatsalan. Journal of Data and Information Quality (ACM), volume 7, issue 1-2, April 2016. Article available online at dx.doi.org/10.1145/2889311
  • Privacy-preserving matching of similar patients. Dinusha Vatsalan and Peter Christen. Journal of Biomedical Informatics (Elsevier), volume 59, February 2016, Pages 285-298. Article available online at doi:10.1016/j.jbi.2015.12.004.
  • 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 Addaptive 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. Invited book chapter in Population Reconstruction. Gerrit Bloothooft, Peter Christen, Kees Mandemakers, and Marijn Schraagen (editors). Springer, August 2015.
  • 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 Link.
  • 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 Link.
  • 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 Link.
  • 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 Link.
  • 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. (One of the most cited Information Systems articles - http://www.journals.elsevier.com/information-systems/most-cited-articles)
  • 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 Link.
  • 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 Link.
  • 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 Link.
  • 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 Link.
  • 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.

Updated:  8 September 2015/Responsible Officer:  Head of School/Page Contact:  CECS Marketing