From research data to understanding

Dr Sam Yang1, Mr Clement Chu1, Dr Tony Murphy1 1CSIRO Manufacturing, Clayton, Australia   This presentation is a overview of our recent development in data-constrained modelling (DCM) methodology for quantitative and sample-non-destructive (SND) characterization of 3D microscopic composition distribution in...

Mr Morgan Williams1,2, Dr Jens Klump1 1CSIRO Mineral Resources, Kensington, Australia, 2Australian National University, Canberra, Australia   Much of our present understanding of the Earth’s 4.5 billion year history is derived from investigations of the chemistry and minerals of rocks,...

Mr Christopher Watkins1, Dr Janet Newman1 1CSIRO, Clayton, Australia   The hullabaloo surrounding the recent successes of deep learning in image processing often falls short of the results obtained when applied to real datasets—that is, without significant development on the...

Professor Ray Norris1 1Csiro/wsu, Epping, Australia   Next-generation radio telescopes generate petabytes of data, and extracting the science from the data not only presents formidable challenges, but also remarkable opportunities. The large data volumes enable us to do science in...

Professor Ray Norris1 1Csiro/wsu, Epping, Australia   The majority of major astronomical discoveries have been unexpected rather than resulting from testing a hypothesis. Next-generation astronomical surveys therefore need to plan explicitly for this, if they are to deliver the full...

Mr Paul Mcphee1 1CSIRO, Pullenvale, Australia   A commerically available image based coal characterisation system has been implemented to improve the characterisation of coal samples. Key improvements over previous systems include the characterisation of individual grains, use of very large...

A/Prof Andrew Lonie1 1University Of Melbourne, Carlton, Australia   Many research disciplines have advanced, community-sourced roadmaps for digital infrastructure in Australia; unfortunately, biosciences isn’t one of those disciplines. Bioplatforms Australia, through the EMBL Australia Bioinformatics Resource and associates, is working...

Dr Francky Fouedjio1, Dr Jens Klump1 1CSIRO, Kensington, Australia   Geostatistical methods such as kriging with external drift as well as machine learning techniques such as quantile regression forest have been extensively used for the spatial modelling and prediction of...

Dr Thomas Lyall Keevers1 1DSTG, Sydney, Australia   Cross-validation is the de facto standard for assessing model quality in machine learning. One data set is used to train or calibrate a complex model, while a second independent data set is...

Mr Owen Kaluza1 1Monash Immersive Visualisation Platform, Clayton, Australia   The huge publicly available simulation of the Great Barrier Reef region, eReefs, contains a wide array of simulated variables over long time-scales and poses an interesting challenge for 3D visualisation....