Prof John Roddick

Adelaide, South Australia, 2011
Position/s:Dean of School
School of Computer Science, Engineering and Mathematics
 SACITT Professor of Computer Science
School of Computer Science, Engineering and Mathematics
 Dean of Engineering
School of Computer Science, Engineering and Mathematics
 Dean of Information and Communication Technology
School of Computer Science, Engineering and Mathematics
Phone: +61 8 82015611
Email:
Location: Information, Science & Technology (270)
Postal address: GPO Box 2100, Adelaide 5001, South Australia

Biography

Professor John Roddick joined Flinders in April 2000 after 15 years at the Universities of Tasmania and South Australia (where he was Head of the School of Computer and Information Science for 4 years).  This followed 10 years experience in the computing industry as (progressively) a programmer, analyst, project leader and consultant.  He became Dean of the School in January 2008 and was reappointed to that role at the start of 2012.  He is also Deputy Executive Dean for the Faculty of Science and Engineering.

Qualifications

PhD, La Trobe
MSc, Deakin University
BSc(Eng)(Hons), Imperial College, London

Honours, awards and grants

Professor Roddick is a Fellow of the Institute of Engineers, Australia (FIEAust) and a Fellow of the Australian Computing Society (FACS).

Selected Grants since 2002

  1. Roddick, J.F. Techniques for active conceptual modelling and guided data mining for rapid knowledge discovery. ARC Linkage. $223,000 (ARC and rL-Solutions). 2011/13.
  2. Bull, M.J., Roddick, J.F. and Sih, A. Behavioural syndromes and social networks in sleepy lizards. ARC Discovery. $375,000. 2010/12.
  3. Roddick, J.F., Ceglar, A. and de Vries, D. Detection of Anomalies in Transaction Sequences (DATS) Project, DSTO. $269,000. 2005-8.
  4. Roddick, J.F. and Calder P.R. Managing and Mining Evolving Ontologies through combining Patterns Languages and Data Mining, ARC Linkage with RACS and ACS. $196,500 (ARC and Partners). 2006-2008.
  5. McIntyre, J, Roche, A., Roddick, J.F. Morgan, DL and Metcalfe, M. Addressing Indigenous complex health, housing and social inclusion issues through critical systems approaches to build workforce capacity, ARC Linkage Grant with SA Department of Human Services and Neporendi Aboriginal Forum Inc., $96,444 (ARC and Partners), 2005-2007.
  6. Roddick, J.F., et al. Improving Australia's Data Mining and Knowledge Discovery Research ARC Research Network Funding Grant, $20,000 2004.
  7. Clarke, S.R., Matisons, J., Downing, A. and Roddick, J.F. Strategic Business Principles for the Economic Development of New Technologies in Regional Areas. $103,168 (ARC and Partners), 2004-2006.
  8. Roddick, J.F., Data Mining for Defence Information Analysis, LongARM Project, DSTO, $30,000 2004.
  9. Roddick, J.F., with Power-Solutions Inc. Power Knowledge Builder Project, START Grant, $1,100,000, 2004-2006.
  10. Holledge, J.F., Roddick, J.F., Hartog, J, et al. AusStage: Australian Performing Arts Gateway, Phase Two - Enhancement and Information Retrieval. ARC LIEF Grant, $280,000 2003.
  11. Roddick, J.F. et al, Analysis of Pathology Ordering by GPs, $122,000 (DHAC), 2002.
  12. Roddick, J.F. Employing Summarisation and Induction Techniques to Improve User Responsiveness in Database Applications. ARC SPIRT Grant with HP Labs, $101,846 (ARC and Compaq), 2001-2003.

Key responsibilities

He is currently the SACITT Chair in Computer Science and Dean of the School of Computer Science, Engineering and Mathematics at Flinders University.  He is also Dean of Engineering and Dean of ICT for Flinders University.

Teaching

Topic Coordinator:

  • COMP1301  Information Systems for Business
  • COMP4707  Advanced Data Mining
  • STAT5702  Statistical Methods for Engineering and Science

Topic Lecturer:

  • ENGR1401  Professional Skills for Engineers
  • ENGR4742  Standards, Ethics and Compliance

Research and consultancy

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 over 3,800 citations (per Google Scholar) with seven with over 150 citations.  He has an h-index of 28.

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 DSTO, the Royal Australasian College of Surgery, EDS Australia, PriceWaterhouseCoopers, the SA Government, rL Solutions and PowerHealth Solutions.

Publications

Refereed journal articles

Mooney, C.H. & Roddick, J.F., 2012. Sequential Pattern Mining - Approaches and Algorithms. ACM Computing Surveys.

Roddick, J.F., 2009. Schema Vacuuming in Temporal Databases. IEEE Transactions on Knowledge and Data Engineering, 21(4), 744-747.

Roddick, J.F., Spiliopoulou, M., Lister, D., & Ceglar, A.J., 2008. Higher order mining. Sigkdd Explorations, 10(1), 5-17.

La-Ongsri, S., Roddick, J.F., & de Vries, D.B., 2008. Accommodating mesodata into conceptual modelling methodologies. Information and Software Technology, 50(5), 424-435.

Winarko, E. & Roddick, J.F., 2008. A signature-based indexing method for efficient content-based retrieval of relative temporal patterns. IEEE Transactions on Knowledge and Data Engineering, 20(6), 4433994-825-4433994-835.

Winarko, E. & Roddick, J.F., 2007. ARMADA - An Algorithm for Discovering Richer Relative Temporal Association Rules from Interval-based Data. Data and Knowledge Engineering, 63(1), 76-90.

de Vries, D.B. & Roddick, J.F., 2007. The Case for Mesodata: An Empirical Investigation of an Evolving Database System. Information and Software Technology, 49(9-10), 1061-1072.

Ceglar, A.J. & Roddick, J.F., 2006. Association Mining. ACM Computing Surveys, 38(2), 1-42.

Ceglar, A.J., Roddick, J.F., Calder, P.R., & Rainsford, C., 2005. Visualising hierarchical associations. Knowledge and Information Systems, 8(3), 257-275.

Roddick, J.F. & Mooney, C.H., 2005. Linear temporal sequences and their interpretation using midpoint relationships. IEEE Transactions on Knowledge and Data Engineering, 17(1), 133-135.

Show all publications

Refereed journal articles

Mooney, C.H. & Roddick, J.F., 2012. Sequential Pattern Mining - Approaches and Algorithms. ACM Computing Surveys.

Roddick, J.F., 2009. Schema Vacuuming in Temporal Databases. IEEE Transactions on Knowledge and Data Engineering, 21(4), 744-747.

La-Ongsri, S., Roddick, J.F., & de Vries, D.B., 2008. Accommodating mesodata into conceptual modelling methodologies. Information and Software Technology, 50(5), 424-435.

Roddick, J.F., Spiliopoulou, M., Lister, D., & Ceglar, A.J., 2008. Higher order mining. Sigkdd Explorations, 10(1), 5-17.

Winarko, E. & Roddick, J.F., 2008. A signature-based indexing method for efficient content-based retrieval of relative temporal patterns. IEEE Transactions on Knowledge and Data Engineering, 20(6), 4433994-825-4433994-835.

Winarko, E. & Roddick, J.F., 2007. ARMADA - An Algorithm for Discovering Richer Relative Temporal Association Rules from Interval-based Data. Data and Knowledge Engineering, 63(1), 76-90.

de Vries, D.B. & Roddick, J.F., 2007. The Case for Mesodata: An Empirical Investigation of an Evolving Database System. Information and Software Technology, 49(9-10), 1061-1072.

Ceglar, A.J. & Roddick, J.F., 2006. Association Mining. ACM Computing Surveys, 38(2), 1-42.

Ceglar, A.J., Roddick, J.F., Calder, P.R., & Rainsford, C., 2005. Visualising hierarchical associations. Knowledge and Information Systems, 8(3), 257-275.

Roddick, J.F. & Mooney, C.H., 2005. Linear temporal sequences and their interpretation using midpoint relationships. IEEE Transactions on Knowledge and Data Engineering, 17(1), 133-135.

Chu, S., Roddick, J.F., & Pan, J., 2004. Ant colony system with communication strategies. Information Sciences, 167(1-4), 63-76.

Roddick, J.F. & Spiliopoulou, M., 2002. A survey of temporal knowledge discovery paradigms and methods. IEEE Transactions on Knowledge and Data Engineering, 14(4), 750-767.

Roddick, J.F. & Nieuwenhuis, A.L., 2001. An Analysis of Application Rates to Programs in Information Technology, Science and Engineering. IEEE Transactions on Education, 44(3), 268-275.

Roddick, J.F., Grandi, F., Mandreoli, F., & Scalas, M.R., 2001. Beyond Schema Versioning: A Flexible Model for Spatio-Temporal Schema Selection. Geoinformatica, 5(1), 33-50.

Refereed conference papers

Bu, S., Chu, S., Liu, X., & Roddick, J.F., 2011. Image Recognition Based on Kernel Self-optimized Learning. 2nd International Conference on Innovations in Bio-inspired Computing and Applications (IBICA 2011), 73-76.

Yan, L., Chu, S., Pan, J., & Roddick, J.F., 2011. Neighborhood Discriminant Nearest Feature Line Analysis for Face Recognition. 2nd International Conference on Innovations in Bio-inspired Computing and Applications (IBICA 2011), 344-347.

Sun, C., Zeng, J., Chu, S., Roddick, J.F., & Pan, J., 2011. Solving Constrained Optimization Problems by an Improved Particle Swarm Optimization. Proc. 2nd International Conference on Innovations in Bio-inspired Computing and Applications, 124-128.

Shih, H., Chu, S., Roddick, J.F., Ho, J., Liao, B., & Pan, J., 2011. Reduce Identical Event Transmission Algorithm Using in Wireless Sensor Network. 3rd International Conference on Intelligent Human Computer Interaction.

Li, R., de Vries, D.B., & Roddick, J.F., 2011. Bands of Privacy Preserving Objectives: Classification of PPDM Strategies. Data Mining and Analytics 2011, 121.

Chu, S., Hsiang-Cheh, H., Roddick, J.F., & Pan, J., 2011. Overview of Algorithms for Swarm Intelligence. 3rd International Conference on Computational Collective Intelligence - Technologies and Applications, 6922, 28-41.

Tang, L., Chu, S., & Roddick, J.F., 2010. Orientation Tree Structure Based Wavelet/VQ Multiple Description Coding. Proceedings: 2010 First International Conference on Pervasive Computing, Signal Processing and Applications (PCSPA2010), 700-702.

Shih, H., Chu, S., Roddick, J.F., Hung, M., & Pan, J., 2010. Power Reduction of Wireless Sensor Networks Using Ant Colony Optimization. 2010 International Conference on Computational Aspects of Social Networks (CASoN 2010), 464-467.

Hung, M., Chu, S., Roddick, J.F., Pan, J., & Shieh, C., 2010. An Effective Image Enhancement Method for Electronic Portal Images. 2nd International Conference on Computational Collective Intelligence - Semantic Web, Social Networks & Multiagent Systems - ICCCI 2010, 6423, 174-183.

Liang, P., Roddick, J.F., Ceglar, A.J., Shillabeer, A., & de Vries, D.B., 2009. Discovering Itemset Interactions. Australian Computer Science Communications, 91, 121-128.

Allwright, A. & Roddick, J.F., 2008. Exploratory Mining over Organisational Communications Data. Data Mining and Analytics 2008: Proceedings of the Seventh Australasian Data Mining Conference (AusDM 2008), 87, 41-50.

Ceglar, A.J., Roddick, J.F., & Powers, D.M., 2007. CURIO: A fast outlier and outlier cluster detection algorithm for large datasets. Integrating Artificial Intelligence and Data Mining: Proceedings of the 2nd International Workshop on Integrating Artificial Intelligence and Data Mining (AIDM 2007), 84, 37-45.

Liang, P. & Roddick, J.F., 2007. Detecting Anomalous Longitudinal Associations through Higher Order Mining. Integrating Artificial Intelligence and Data Mining: Proceedings of the 2nd International Workshop on Integrating Artificial Intelligence and Data Mining (AIDM 2007), 84, 19-27.

Roddick, J.F. & Fule, P., 2007. SemGrAM - Integrating semantic graphs into association rule mining. Data Mining and Analytics 2007: Proceedings of the 6th Australasian Data Mining Conference (AusDM 2007), 70, 129-137.

Shillabeer, A. & Roddick, J.F., 2007. Establishing a lineage for medical knowledge discovery. Data Mining and Analytics 2007: Proceedings of the 6th Australasian Data Mining Conference (AusDM 2007), 70, 29-37.

Roddick, J.F., Ceglar, A.J., & de Vries, D.B., 2007. Towards active conceptual modelling for sudden events. Challenges in Conceptual Modelling: Tutorials, posters, panels and industrial contributions at the 26th International Conference on Conceptual Modeling: ER 2007, 83, 203-208.

Ceglar, A.J., Morrall, R., & Roddick, J.F., 2006. Mining medical administrative data: the PKB system. Proceedings of the ECML/PKDD 2006 Workshop on Practical Data Mining.

Chan, D. & Roddick, J.F., 2006. Local nulls in summarised mobile and distributed databases. Data mining VII: data text and web mining and their business applications, 37, 407-416.

Mooney, C.H. & Roddick, J.F., 2006. Marking time in sequence mining. Proceedings of the fifth Australasian conference on Data mining and analystics, 61, 129-134.

Rice, S., Roddick, J.F., & de Vries, D.B., 2006. Defining and implementing domains with multiple types using mesodata modelling techniques. Proceedings of the Third Asia-Pacific Conference on Conceptual Modelling (APCCM2006), 53, 85-93.

Roddick, J.F. & de Vries, D.B., 2006. Reduce, reuse, recycle: practical approaches to schema integration, evolution and versioning. Lecture Notes in Computer Science, 4231, 209-216.

Shillabeer, A., Roddick, J.F., & de Vries, D.B., 2006. On the arguments against the application of data mining to medical data analysis. IDAMAP 2006: Proceedings of the Intelligent Data Analysis in Biomedicine and Pharmacology Conference.

Winarko, E. & Roddick, J.F., 2005. Discovering richer temporal association rules from interval-based data. Lecture Notes in Computer Science, 3589/2005, 315-325.

Chu, S., Roddick, J.F., Lu, Z., Pan, J., & Abebe, D.B., 2004. Hadamard transform based Equal-average Equal-variance Equal-norm nearest neighbor codeword search algorithm. Proceedings of the IEEE International Conference on Multimedia and Expo (ICME2004), 1, 671-674.

de Vries, D.B., Rice, S., & Roddick, J.F., 2004. In support of mesodata in database management systems. Proceedings of the 15th International Conference on Database and Expert systems Applications.

de Vries, D.B. & Roddick, J.F., 2004. Facillitating database attribute domain evolution using mesodata. Lecture Notes in Computer Science, 3289, 429-440.

Mooney, C.H., de Vries, D.B., & Roddick, J.F., 2004. A multi-level framework for the analysis of sequential data. Proceedings of the 3rd Australasian Data Mining Conference, 199-213.

Mooney, C.H. & Roddick, J.F., 2004. Mining relationships between interacting episodes. Proceedings of the Fourth SIAM International Conference on Data Mining.

Fule, P. & Roddick, J.F., 2004. Experiences in building a tool for navigating association rule result sets. Proceedings of the Australian Workshop on Data Mining and Web Intelligence: ACSW Frontiers, 103-108.

Chu, S., Roddick, J.F., Su, C., & Pan, J., 2004. Constrained ant colony optimization for data clustering. Trends in Artificial Intelligence: Proceedings of the 8th Pacific Rim International Conference on Artificial Intelligence, 534-543.

Fule, P. & Roddick, J.F., 2004. Detecting privacy and ethical sensitivity in data mining results. Proceedings of the 27th Australasian conference on computer science, 26(1), 159-166.

Chu, S., Roddick, J.F., Lu, Z., & Pan, J., 2003. VQ-based watermarking method using labelled bisecting k-means clustering algorithm. 7th International Symposium on Consumer Electronics - 2003.

Chan, D. & Roddick, J.F., 2003. Context-sensitive mobile database summarisation. Computer Science 2003, 140-149.

Ceglar, A.J., Roddick, J.F., Mooney, C.H., & Calder, P.R., 2003. From rule visualisation to guided knowledge discovery. ADMO 3 : Proceedings of the Australasian Data Mining Workshop, 59-94.

Roddick, J.F., Hornsby, K., & de Vries, D.B., 2003. A unifying semantic distance model for determining the similarity of attribute values. Computer Science 2003: Proceedings of the Twenty-Sixth Australasian Computer Science Conference, 111-118.

Chu, S., Roddick, J.F., Pan, J., & Su, C., 2003. Parallel ant colony systems. Foundations of Intelligient Systems.

Winarko, E. & Roddick, J.F., 2003. Relative temporal association rule mining. ADMO 3 : Proceedings of the Australasian Data Mining Workshop, 121-142.

Chu, S., Roddick, J.F., & Pan, J., 2002. An Efficient K-medoids-based Algorithm Using Previous Medoid Index, Triangular Inequality Elimination Criteria and Partial Distance Search. Data Warehousing and Knowledge Discovery [LNCS], 2454, 301-311.

Chu, S., Roddick, J.F., & Pan, J., 2002. An incremental multi-centred, multi-run sampling scheme for K-medoids-based algorithms. Data Mining III, 553-562.

Roddick, J.F. & Nieuwenhuis, A.L., 2002. Application Rates to Undergraduate Programs in Information Technology in Australian Universities. Computer Science 2002 : proceedings of the twenty-fifth Australasian Computer Science conference, 4, 223-231.

Mooney, C.H. & Roddick, J.F., 2002. Mining itemsets - An approach to longitudinal and incremental association rule mining. Data Mining III, 6, 93-102.

Chu, S., Roddick, J.F., Chen, T., & Pan, J., 2002. Efficient search approaches for K-medoids-based algorithms. Proceedings of the IEEE TENCON'02, 1, 712a-715a.

Chu, S., Roddick, J.F., & Pan, J., 2002. Efficient K-medoids Algorithms using Multi-Centroids with Multi-runs Sampling Scheme. Workshop on Mining Data across Multiple Customer Touchpoints for CRM.

Chu, S., Roddick, J.F., & Pan, J., 2001. A Comparative Study and Extension to K-medoids Algorithms. Fifth International Conference on Optimization: Techniques and applications (ICOTA 2001).

Chu, S. & Roddick, J.F., 2001. Pattern clustering using incremental splitting for non-uniformly distributed data. Pattern Clustering Using Incremental Splitting for Non-Uniformly Distributed Data.

Journal articles

Warren, J., Roddick, J.F., Webb, G., & Williams, G., 2006. Guest Editor's Introduction to Special Issue on Health Data Mining. Ejournal of Health Informatics, 1(1).

Roddick, J.F., Fule, P., & Graco, W.J., 2003. Exploratory medical knowledge discovery: experiences and issues. Sigkdd Explorations, 5(1), 94-99.

Roddick, J.F. & Rice, S., 2001. What's Interesting About Cricket? - On Thresholds and Anticipation in Discovered Rules. Sigkdd Explorations, 3(1), 1-5.

Conference publications

Roddick, J.F., 2009. Pattern specification and discovery in higher order data mining. Proceedings fourth international conference on innovative computing, information and control.

Chu, S., Roddick, J.F., & Chen, T., 2002. A genetic clustering algorithm for mean-residual vector quantization. ICAST 2002: proceedings of the 18th International Conference on Advanced Science and Technology, 91-99.

Other public research outputs

Grundy, J.J., Hartmann, S., Laender, A., Maciazek, L., & Roddick, J.F., 2007. Challenges in conceptual modelling - Tutorials, posters, panels and industrial contributions at the 26th International conference on Conceptual Modelling - ER 2007 (Conference Editor), Auckland, New Zealand: CRPIT.

Brankovic, L., Coddington, P., Roddick, J.F., Steketee, C., Warren, J., & Wendelborn, A., 2007. Proceedings of the fifth Australasian symposium on ACSW frontiers (Editors), Wollongong, NSW: Australian Computer Society Inc.

Brankovic, L., Coddington, P., Roddick, J.F., Steketee, C., Warren, J., & Wendelborn, A., 2007. Proceedings of the fifth Australasian symposium on ACSW frontiers (Conference Proceedings editor), Ballarat, VIC: CRPIT.

Roddick, J.F. & Hinze, A., 2007. Conceptual Modelling 2007: Proceedings of the Fourth Asia-Pacific Conference on Conceptual Modelling (APCCM2007) (Conference Editor), Ballarat, VIC: CRPIT.

Roddick, J.F., Benjamins, R., Si-Said Cherfi, S., Chiang, R., Elmasri, R., Grandi, F., Han, H., Hepp, M., Lytras, M., Misic, V.B., et al., 2006. Advances in Conceptual Modeling: Theory and Practice (Editors), Germany: Springer.

Show selected publications

Professional and community engagement

Professor Roddick has had varied and extensive community interests.  Between 1995 and 2000 he was the Minister's Nominee on the Northern Adelaide Development Board (NADB) and between 1997 and 2003 he was an Executive Committee Member, Computer Science Association.  Between 2001 and 2003 he was the AVCC Representative on the IT Skills Hub, Melbourne and has also served on various SSABSA Examiners' Committees.

From 1999 to 2003 he was Editor-in-Chief of Journal of Research and Practice in Information Technology (the Australian Computer Society academic journal) and from 1999 until 2008 we was the Foundation Series Editor of the Conferences in Research and Practice in Information Technology series (the Australian Computer Society conference series).  He has also been programme and general chair for numerous conferences and workshops.

Expertise for media contact

  • Data Mining and Knowledge Discovery particularly in medicine and health and in defence systems; data mining in time (longitudinally) and space (location)

Subject/s

  • Engineering - Computer Systems


inspiring achievement