Databases

Databases

The rise of ‘big data’ is changing the way we live and think, from how people communicate with each other, to how businesses make decisions, to how scientists conduct research. However, today’s database technologies are limited by their ability to understand and manage big data’s potential. This calls for innovative paradigms and solutions that can support efficient and effective data management over large, complex and dynamic databases.

Our research addresses challenges in various areas of data management, including: data modelling and database design; query processing and optimisation; data integration at different levels (record linkage, schema mapping and ontology matching); data provenance; and data cleaning.

We collaborate with several theoretical and experimental research groups in Germany, Austria, New Zealand and China. We also regularly invite industry professionals from leading database technology companies, such as Oracle and Teradata, and the public sector, to share their knowledge and experience with our students. 

Explore our available student research projects below and if you’d like to discuss opportunities for collaboration or funding, please email us.

Academic staff

Dr Bernardo Pereira Nunes »

Lecturer in Computer Science & Digital Humanities

Qing Wang, CECS, ANU

Dr Qing Wang  »

Associate Director (EDUCATION PARTNERSHIPS), Associate Professor

Student

Yinshuo Bai »

Honours Student

Mr Nathan Elazar »

Honours Student

Muhammad Farhan »

PhD Student

Masooma Iftikhar »

PhD Scholar

Fangbing Liu  »

Phd Student

Novi Sari »

Honours Student

Jingyu Shao »

PhD Student

Ghodai Zaki »

Phd Student

Mr Boyu Zhang »

Honours Student

Code Title Semester Offered in 20' Course convener
COMP2400 Relational Databases S2 18, 19, 20, 21 Dr Yu Lin
COMP6240 Relational Databases S2 18, 19, 20, 21 Dr Yu Lin
COMP7240 Introduction to Database Concepts Summer 18, 19 Dr Qing Wang
Dataset

Updated:  1 June 2019/Responsible Officer:  Head of School/Page Contact:  CECS Webmaster