Professor Peter Christen

I have received a Diploma in Computer Science Engineering from ETH Zurich in 1995, and a PhD in Computer Science from the University of Basel in 1999 (both in Switzerland).

My research interests are in record linkage and data mining, with a focus on privacy and machine learning aspects of record linkage. My research so far has resulted in nearly 200 articles in these areas, including the monograph Data Matching by Springer in 2012, and the book Linking Sensitive Data (with co-authors Thilina Ranbaduge and Rainer Schnell) also by Springer in 2020. I am also the main developer of the Febrl (Freely Extensible Biomedical Record Linkage) open source data cleaning, deduplication and record linkage system.

My research is in the fields of data mining and data matching (also known as record linkage or entity resolution).

I am especially interested in the development of scalable and real-time algorithms for data matching, and privacy and confidentiality aspects of data matching and data mining.

Keywords: Data Matching, Record Linkage, Entity Resolution, Data Mining, Privacy Technologies, Privacy Preserving Record Linkage.

See my publications page as well as my Google Scholar profile page.

Mr Jeff Fisher »

Phd student, Associate Lecturer

Ms Nishadi Kirielle »

PhD Candidate

Charini Nanayakkara

Dr (Mrs) Charini Nanayakkara »

Research Fellow

Banda Ramadan

Ms Banda Ramadan »

PhD Student

Dr Thilina Ranbaduge »

Honorary Lecturer

Mrs Asara Senaratne »

PhD Candidate

Ms. Sirintra Vaiwsri »

PhD Student

COMP3000 series courses
Code Title Year 20.. Semester
COMP3430 Data Wrangling 18 S2
COMP8000 series courses
Code Title Year 20.. Semester
COMP8430 Data Wrangling 18 S2

ARC Discovery

Awarded $350,000 from the Australian Research Council for a project entitled "Privacy-preserving Record Linkage on Multiple Large Databases."


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