Calculated based on number of publications stored in Pure and citations from Scopus
1992 …2019

Research activity per year

Personal profile

Research Expertise

John Roddick's research is diverse but largely focusses on temporal data mining as applied to health, traffic and defence-related datasets.

Research Biography

Professor John Roddick joined Flinders in April 2000 after 15 years at the Universities of Tasmania and South Australia. This followed 10 years experience in the computing industry. He was Dean of the School of Computer Science, Engineering and Mathematics between January 2008 until July 2017.  He is currently the Chair of the University's Academic Senate and Head of Engineering.  He is a Fellow of both Engineers Australia and the Australian Computing Society.

Research Interests

Prof. Roddick's research specialises in the fields of:

  • Data Mining and Knowledge Discovery - specifically in temporal and spatial data mining and as applied to medical and health data, and to defence and security;
  • Conceptual Modelling - the development of conceptual models for complex systems and the manner in which these models can be used to build data-oriented solutions to difficult problems.

Since the late 1980s Professor Roddick has contributed to the area of conceptual modelling and intelligent databases including the development of techniques for data summarization, spatio-temporal databases, query languages, evolution and change in data and metadata management, information semantics and, data mining and knowledge discovery. His papers in these areas have received around 7,000 citations (per Google Scholar) with 15 with over 100 citations. He has an h-index of 37.

His work has resulted in contributions to the design and development of database architectures, query languages and systems that enable the semantics inherent in data to be more readily understood and manipulated, thus enabling systems to adapt. Part of his work in temporal query languages, for example, contributed to the TSQL2 temporal language proposal. His research agenda has a particular focus on complex and large volumes of data, commonly using medical data as the application domain.

Professor Roddick has published widely, including a number of well-cited surveys. He maintains active collaborative links with a number of researchers internationally, and has undertaken commercial research contracts with a number of organisations in his area of expertise including the Defence Science and Technology Organisation (DSTO), the Royal Australasian College of Surgery, EDS Australia, PriceWaterhouseCoopers, the SA Government, rL Solutions and PowerHealth Solutions.

He is a member of the ARC College of Experts. His ORCID ID is 0000-0001-7024-0796.

Completed Supervisions

Principal Supervisions:
  • Computer Science (8)
  • Computer Science (UniSA) (4)
Associate Supervisions:
  • Computer Science (4)

Research Areas

  • Knowledge discovery, AI and data mining

Supervisory Interests

  • Data mining and knowledge discovery
  • Data semantics
  • Database modelling


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