Data generated by scientific instruments and collected by researchers are fundamental elements of scientific work. The ISR eResearch group assists scientists creating, cataloguing and sharing data collections with particular focus on the five themes below.
It is often believe that sharing and publishing research data is cost-free or is at a relatively cost. However, this view often overlooks important considerations in adequately managing research data. Data sets need to be indexed and made easily searchable and downloadable. This requires a significant amount of data preparation that can only be done by experts and using sophisticated tools.
Visualising multi-dimensional data in accessible ways is an important requirement for data-driven science. Visualisation tools aimed specifically at non-technical users and those who are not domain experts can help communicate information. Visualisation of highly complex or hyper-dimensional data sets (and meaningful structures within them) is necessary even to domain experts.
Related projects: Carrying capacity dashboard, groundwater visualisation system, CSIRO water quality.
Synthesis of data from multiple sources will enable researchers to study environmental systems holistically, allowing them to more accurately detect and forecast the responses of ecosystems to changes in the environment and land use. Novel data analysis and synthesis tools will enhance the data-intensive systems for studying global faunal/flora species distributions.
Related projects: Carbon and nutrient database, TERN central portal
Open access to research has many benefits, it allows the exposition of the scientific process for scritiny by fellow scientists and the public. It also allows citation of research data in the academic literature and create value for those who collect and curate data sets. In addition, it encourage the re-use of research data especially for historical data and exensive data collections.
Related projects: Carbon and nutrient database, R-morpho.
With new technologies allowing more active participation of the public in the production of knowledge, the boundary between scientists and laypeople are gradually disappearing. Tools are now available to leverage the public as a computational, storage or data collection resource.
Related projects: Acoustics.
Research opportunities are available in the five themes listed above at honours, master and doctoral levels. Financial assistance and scholarship is available for students attached to a particular project.
We have a number of open positions in the areas of software development, database management, scientific computation and visualisation. The positions are various part time to full time up to 1 year contracts.
For more information about research and funding opportunities, contact email@example.com
BooksAbbass, Hussein .A. & Towsey, Michael W. (Eds.) (1999) The Application of Artificial Intelligence, Optimisation and Bayesian Methods in Agriculture. Queensland University of Technology, Brisbane, Australia. [External html]
Book ChaptersZhang, Jinglan, Roe, Paul, Pham, Binh L., Mason, Richard, Towsey, Michael W., & Sumitomo, Jiro (2010) Archiving nature’s heartbeat using smart phones. In Wachowicz, Monica (Ed.) Movement-Aware Applications for Sustainable Mobility : Technologyies and Approaches. IGI Global, Hershey, PA, pp. 121-138. [External html]
Abbass, Hussein A., Towsey, Michael W., Kozan, Erhan, Van Der Werf, Julius, & Diederich, Joachim (2002) A Markov Chain Tabu Search Approach to the evolutionary allocation problem. In Kozan, E. & Ohuchi, A. (Eds.) Operations Research/Management Science at Work. Kluwer Academic Publishers, Massachusetts, USA, pp. 71-93. [External html]
Sztriha, Laszlo, Al-Suhaili, Abdul Rahim, Towsey, Michael W., Alpsan, Dogan, Bener, Abdulbari, Berjawi, Y.M., et al. (1997) Comparison of cerebral perfusion and quantitative EEG in children with supratentorial brain lesions. In De Deyn, Peter P. (Ed.) A Textbook of SPECT in Neurology and Psychiatry. John Libbey Eurotext Ltd, Montrouge, France, pp. 287-295. [External html]
Journal ArticleTowsey, Michael W., Timms, Peter, Hogan, James M., & Mathews, Sarah A. (2008) The cross-species prediction of bacterial promoters using a support vector machine. Computational Biology and Chemistry, 32(5), pp. 359-366. [External html]
Towsey, Michael W., Gordon, James J., & Hogan, James M. (2006) The Prediction of Bacterial Transcription Start Sites using Support Vector Machines. International Journal of Neural Systems, 16(5), pp. 363-370. [External html]
Gordon, John J., Towsey, Michael W., Hogan, James M., Mathews, Sarah A., & Timms, Peter (2006) Improved prediction of bacterial transcription start sites. Bioinformatics, 22(2), pp. 142-148. [External html]
Diederich, Joachim, Brugman, Claudia, & Towsey, Michael W. (2003) Neural Networks and Machine Learning for Natural Language Processing - Introduction. Applied Intelligence, 19(1-2), p. 7. [External html]
Abbass, Hussein A., Towsey, Michael W., Kozan, Erhan, & Van der Werf, Julius (2003) Genetic Algorithms for a Large Scale Dynamic Allocation Problem. Journal of Applied Systems Studies, 4(2). [External html]
Abbass, Hussein A., Towsey, Michael W., & Finn, Gerard D. (2001) C-Net: a method for generating non-deterministic and dynamic multivariate decision trees. Knowledge and Information Systems, 3(2), pp. 184-197. [External html]
Towsey, Michael W., Brown, Andrew R., Wright, Susan K., & Diederich, Joachim (2001) Towards melodic extension using genetic algorithms. Educational Technology & Society, 4(2), pp. 54-65. [External html]
Abbass, Hussein A., Towsey, Michael W., Finn, Gerard D., & Kozan, Erhan (2001) A Meta-Representation for Integrating OR and AI in an Intelligent Decision Support Paradigm. International Transactions in Operational Research, 8(1), pp. 107-119. [External html]
Adeyemi, Edward O. A., Desai, K.D., Towsey, Michael W., & Ghista, Dhanjoo N. (1999) Characterization of autonomic dysfunction in patients with irritable bowel syndrome by means of heart rate variability studies. American Journal of Gastroenterology, 94(3), pp. 816-823. [External html]
Alpsan, Dogan, Towsey, Michael W., Ozdamar, Ozcan, Tsoi, Ah Chung, & Ghista, Dhanjoo N. (1995) Efficacy of modified backpropagation and optimisation methods on a real world medical problem. Neural Networks, 8(6), pp. 945-962. [External html]
Alpsan, Dogan, Towsey, Michael W., Ozdamar, Ozcan, Tsoi, Ah Chung, & Ghista, Dhanjoo N. (1994) Determining hearing threshold from Brain Stem Evoked Potentials - Optimising a neural network to improve classification performance. IEEE Engineering in Medicine and Biology, 13(4), pp. 465-471. [External html]
ReportsTowsey, Michael W. & Planitz, Birgit (2011) Technical report : acoustic analysis of the natural environment. (Unpublished) [External html]
Towsey, Michael W. & Planitz, Birgit (2010) Technical report : acoustic analysis of the natural environment. (Unpublished) [External html]
Maetschke, Stefan, Towsey, Michael W., & Hogan, James M. (2007) BioPatML - an XML description language for patterns in biological sequences. (Unpublished) [External html]
The Australian Nitrous Oxide Research Program [PDF, 1.13MB]
Extensible Software for Research Data Capture [PDF, 187KB]
Developing Australian Terrestrial Ecosystem Research, Network Data Discovery Portal [PDF, 345KB]
Remote Sensing of the Soundscape at SERF:
Presentation video [Youtube link]
Presentation slides [PPS, 124MB]
Stuart Gage, ISR, QUT, Brisbane
Acoustic indices for ecologists - Presentation slides [PPS, 1.18MB]
Michael Towsey, ISR, QUT, Brisbane