I'm a postdoctoral fellow in the Research School of Computer Science at the Australian National University (ANU). I'm currently working on temporal privacy-preserving record linkage techniques (PPRL) for multiple parties. 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. In my PHD research study I developed scalable techniques for efficient and effective indexing mechanisms in PPRL for multiple parties. 

A live demo of our Multi-party PPRL work can be accessed from here.
 

Education:

• PhD in Computer Science, Australian National University, Australia (2018)
• PG Dip in Computer Science, University of Moratuwa, Sri Lanka (2013)
• BSc. (Hons) Information Technology with first class from University of Moratuwa, SriLanka (2009).

Work Experience:

• Lecture (Probationary) University of Moratuwa, SriLanka (2012 - 2013)
• Lecture (On contract) University of Moratuwa, SriLanka (2011 - 2012)
• Software Engineer (2009 - 2011)

Awards & Scholarships:

• Data Linkage and Anonymisation Programme participant -  Funded by the Isaac Newton Institute for Mathematical Sciences, Cambridge, UK, 2016.
• ANU PhD Scholarship (International) (2014)
• ANU HDR Merit Scholarship (2014)
• DEAN LIST Awards in BSc Hons for (2007,2008,2009)

Publications:

• Scalable Block Scheduling for Efficient Multi-Database Record Linkage, Thilina Ranbaduge, Vatsalan Dinusha, Peter Christen, 16th IEEE International Conference on Data Mining (ICDM 2016), Barcelona, Spain.
• Evaluation of Advanced Techniques for Multi-Party Privacy-Preserving Record Linkage on Real-World Health Databases, Thilina Ranbaduge, Dinusha Vatsalan, Sean Randall, Peter Christen, The International Population Data Linkage Conference 2016.
• Hashing-Based Distributed Multi-party Blocking for Privacy-Preserving Record Linkage , Thilina Ranbaduge, Dinusha Vatsalan, Peter Christen, Vassilios Verykios, 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 16), Auckland New Zealand (2016).
• MERLIN - A Tool for Multi-party Privacy-preserving Record Linkage, Thilina Ranbaduge,Peter Christen,Dinusha Vatsalan, 15th IEEE International Conference on Data Mining (ICDM 2015), Atlanta City USA.
• Clustering-based Scalable Indexing for Multi-party Privacy-preserving Record Linkage, Thilina Ranbaduge,Peter Christen,Dinusha Vatsalan, 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 15), Vietnam(2015)
• Tree based Scalable Indexing for Multi-party Privacy Preserving Record Linkage, Thilina Ranbaduge,Peter Christen,Dinusha Vatsalan, 12th Australian Data Mining and Analytics Conference (AusDM 14), Brisbane (2014)
• Use of Data Mining Methodologies in Evaluating Educational Data, Thilina Ranbaduge, International Journal of Scientific and Research Publications 3 (11), 25-39 (2013)
• Evaluating Outliers in Student Performances Through Online Activities in Distance Learning Environments,Thilina Ranbaduge, Thilak Chaminda, IEEE PCS Japan Chapter Technical Meeting and 4th ACM Chapter on E-learning and Technical Communication Conference, University of Aizu, Japan (2012)
• Forecasting Website Accesses using Data Mining Techniques , Thilina Ranbaduge, Thilak Chaminda, Chandana Napagoda, 4th Information Technology Research Unit Research Symposium - 2012, University of Moratuwa, SriLanka, (2012)

Posters:

• Multi-Party Privacy-Preserving Record Linkage (MP-PPRL), Thilina Ranbaduge, Vatsalan Dinusha, Peter Christen, Data linkage: techniques, challenges and applications workshop, Isaac Newton Institute for Mathematical Sciences, University of Cambridge, UK, 2016.