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CIC Research Seminars

The CIC research seminar series is aimed at a general audience under the umbrella theme of Introduction to Data and Computation and introduces researchers to the different areas of research in the institute.
The seminars are open to the whole University as well as the wider community, and thus present a good opportunity to get your research out to the wider Curtin community. If you have any questions or an idea for a seminar in the series, which can involve one or more presenters, please contact David Gibson.

Listed below are the past seminars hosted by the CIC. Where available slides to the seminar talks have been linked:

25/02/2020The Promise of Learning Analytics and the Search for EvidenceProf. Dirk Ifenthale
5/02/2020Catching Crooks with Bayes Nets: Using Bayesian Networks to identify significant crime eventsMr. Shih Ching Fu
10/12/2019Data Science EducationProf. Linda McIver
20/11/2019Artificial Intelligence – perception, expectations, and realityProf. Lars Nolle
13/11/2019Statistical challenges in identifying genetic component to depression
Prof. Cathryn Lewis
30/10/2019Toward more comprehensive search systems for research and learningBen Adams
17/10/2019A statistical journey through imagery from mass spectrometry, fMRI and towards the skyProf. Inge Koch
28/08/2019Household Portfolio Allocation, Uncertainty, and RiskProf. Sarah Brown
21/08/2019Improving the Success of Your Supercomputing ApplicationsProf. Julian Gale, Prof Andrew Rohl, and Prof Igor Bray
13/08/2019Advanced data mining approaches to time-ordered data; with a focus on text mining and sequential patternsProf. Maguelonne Teisseire
05/08/2019How Complexity Thinking Can Contribute to Learning ScienceDr. Shihui Feng
29/07/2019The Hidden Stories of Missing DataDr Maria Wolters
19/07/2019Network Approaches to Understanding Social Interactions and Social Effects in LearningDr. Shihui Feng
4/06/2019Meet Cray’s Frontier, Shasta, and ClusterStorDavid Kelly
16/04/2019Overview of the United States Air Force Office of Scientific Research
Dr Peter Friedland
21/03/2019Recent advances in terrestrial laser scanning-optimal viewpoint placement and object recognitionProf. Derek Lichti
05/03/2019Trust Networks and the Universal LearnerTM RecordDr Phillip D. Long
28/11/2018Using data and data science to overcome court delays in the NSW criminal justice system: A smarter way of averting injustice?Dr Don Weatherburn
09/11/2018Atmospheric carbon and the statistical science of measuring, mapping, and uncertainty quantificationProf. Noel Cressie
24/10/2018 Detecting satellites and
space debris with the Murchison Widefield Array (MWA)
Dr Paul Hancock
19/09/2018Machine learning for risk assessment of stillbirthDr Gavin Pereira and Dr Sawitchaya Tippaya
22/08/2018Data scientists aren’t magicians – How to collaborate with data scientists effectively
Cara Kreck
02/08/2018Applied Text Analytics: the need for human information interaction and cognitive approaches in learning contexts.Dr Andrew Gibson
18/07/2018Analysing complex linked administrative data in health services research: issues and solutionsA/Prof. Rachael Moorin, David Youens, Ninh Thi Ha
20/06/2018Use of cross-sectoral data linkage to predict high-rate offenders in Western AustraliaA/Prof Anna Ferrante
23/05/2018The Fast Multipole Boundary Element Method for large scale modelling in Computational AcousticsDr Daniel Wilkes
28/03/2018Caches all the way down: Infrastructure for Data ScienceProf. David Abramson
14/03/2018Recent Splitting Schemes for the Incompressible Navier-Stokes EquationsProf. Peter Minev
22/11/2017 Fast and smooth simulation
of time dependent problems
Prof. Maciej Paszyński
11/10/2017Can Data and Analytics Support Learning and Teaching?Prof. Dirk Ifenthaler
27/09/2017Recent Developments in Bloom Filter-based Methods for Privacy Preserving Record LinkageProf. Rainer Schnell
13/09/2017Modelling of the Pyrolisis ProcessProf. Vishnu Pareek
12/07/2017The Blockchain – A gentle introduction.Dr Andrea Bedini
14/06/2017Weapons of Maths Construction: how a combination of theory and algorithms conquers inequalities and constructs optimal solutionsProf. Song Wang
22/05/2017Invention entrepreneurship and Innovation - Q&A session for PhD and ECRProf. Ted Selker
18/05/2017Considerate SystemsProf. Ted Selker
17/05/2017What are our digital images trying to tell us? The role of Computational Image AnalysisDr Andrew Squelch
27/03/2017Why there are no cobblestone roads: how digital marketing is driving corporate transformationAlex Langshur
23/03/2017On Big Data Guided Digital Ecosystems and Technologies (DEST) and their Knowledge ManagementDr Shastri Nimmagadda
22/03/2017Coupling gradient phenomena: Phase-Field Gradient Theory and Gradient HyperelasticityDr Luis Espath
15/03/2017Learning to count: the challenge of turning rich multi semiotic materials into (audio-) visual dataProf. John Bateman
15/02/2017From detecting cats to meteors: a machine learning approachDr. Kevin Chai
14/12/2016An interdisciplinary study of the mysteries of the Selden map of China - A holistic approach involving imaging, spectroscopy and historyProf. Haida Liang
30/11/2016Big Data and EconometricsProf. Laszlo Matyas
16/11/2016Computational Fluid Dynamics Modelling of Large Scale Industrial SystemsProf. Vishnu Pareek, Prof. Ranjeet Utikar and Mr Shiv Meka
12/10/2016Econometrics and ComputationA/Prof. Felix Chan
14/09/2016R for Spatial Statistics and Big DataProf. Adrian Baddeley
24/08/2016The infrastructure conundrum: Why the challenges of computational support and research assessment have a common rootProf. Cameron Neylon
10/08/2016Handling Big Data on Modern Computers: A Developer's View.Francesc Alted
13/07/2016Visualisation, Virtual Reality and Virtual HeritageA/Prof. Artur Lugmayr, Prof. Erik Champion and Dr Andrew Woods
15/06/2016Introduction to Data and ComputationKim Flintoff and
Dr Simon Huband
11/04/2016The Resource Data Analytics Project (RDAP): CSIRO, Curtin and UWA Working Together To Solve Industry ProblemsA/Prof. Ryan Loxton, A/Prof. Ben Mullins, Dr Vidy Potdar and Prof. Andrew Rohl
08/03/2016TrISMA – Tracking Infrastructure for Social Media AnalyticsA/Prof. Tama Leaver and
Alkim Ozaygen