There are a number of projects within the Faculty of IT addressing within the area of Data Management. Research in this area currently underway in the Faculty includes:
Our researchers working in the area of Data Management include; Associate Professor David Taniar, Associate Professor Andrew Paplinski, Professor Bala Srinivasan, Dr Campbell Wilson and Dr Chris Ling.
| Researchers: | Dr R Kippen, A/Prof H J Maxwell-Stewart, Dr Damminda Alahakoon (Damminda.Alahakoon@monash.edu), Dr J Bradley, A/Prof S C Dharmage, Prof K E Inwood, Prof J D Mathews, Prof M Shields (Michael.Shields@monash.edu) |
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| Partners: | University of Tasmania, University of Melbourne and Australian National University |
| Funding: | ARC Discovery Project 2011-2013 (Administered by Melbourne University) |
| Project outline: | Based on convict records, birth, death and marriage registrations, World War One service records, and other historical data, this project explores long-term demographic outcomes of individuals, families and lineages. more... The project draws on the expertise of family historians to trace individuals and their descendants for 'Australia's biggest family history'. less... |
| Related theme: | Cultural Heritage - Technologies for preserving Cultural Heritage |
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| Researchers: | Prof Geoff Webb |
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| Centre/s: | CRIS |
| Funding: | ARC Discovery Project 2011-2013 |
| Project website: | www.csse.monash.edu.ua/~webb |
| Project outline: | This project investigates novel approaches to computational data analysis that use new forms of probabilistic models of data.more... These new approaches complement the state-of-the-art, suiting large quantities of categorical data, being robust in the presence of errors, and efficiently handling updates when new data become availables project investigates novel approaches to computational data analysis that use new forms of probabilistic models of data. less... |
| Related theme/s: | Health and Wellbeing: Bioinformatics/Protein Structure/Others Productivity and Innovation - Intelligent Systems |
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| Researchers: | Prof G F Egan, Dr S K Milton, Mr J Lohrey, Dr A J Lonie, Prof David Abramson |
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| Partners: | arcitecta pty ltd |
| Centre: | DSSE |
| Funding: | ARC Linkage Project 2011-2013 |
| Project website: | www.messagelab.monash.edu.au |
| Project outline: | This project will develop new tools for neuroimaging research: (i) efficient distributed infrastructure and workflow capabilities and (ii) semantic tools using existing ontological frameworks and specific neuroimaging ontologies. more... These new capabilities will significantly enhance the productivity of neuroimaging research. less... |
| Key outcomes: |
| Researchers: | Prof Ron Weber; Dr A N Burton-Jones |
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| Funding: | ARC Discovery 2011-2013 |
| Project outline: | This project aims to improve the ways in which those user requirements that motivate the design and implementation of an information system are modelled. more... As a result, it should be possible to build and deploy higher-quality information systems. less... |
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| Researchers: | Dr Campbell Wilson |
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| Centre: | DSSE |
| Project outline: | The project is undertaken in conjunction the Monash E-Education Centre. It involves the convergence of the results of visual stream mining, more... face detection, gesture recognition with analysis of data obtained from other audience feedback mechanisms, in order to investigate correlations between mechanisms of presentation delivery and outcomes for the audience. less... |
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| Researchers: | Mr Chen Guo, Dr Campbell Wilson, Dr Samar Zutshi (Swinburne University) |
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| Centre: | DSSE |
| Project outline: | Efficient image classification and retrieval is of increasing significance. This project explores the use of hybrid combinations of low and high level image features in characterising spatial information in images. more... An image retrieval framework based on inference networks is being extended to incorporate these hybrid features. less... |
| Key outcomes: |
| Researchers: | Ms Noor Azilah Draman, Dr Campbell Wilson, Dr Chris Ling |
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| Centre: | DSSE |
| Project outline: | A biologically inspired, artificial immune system based classifier is being developed for the recognition of musical genres. more... It is hoped that this classifier will outperform many other classifiers for this task. less... |
| Key outcomes: |
| Researchers: | A/Prof David Taniar, and A/Prof Wenny Rahayu (La Trobe University) |
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| Centre: | DSSE |
| Project outline: | A data warehouse provides information from a historical perspective, and business intelligence allows the management to navigate business reports in order to provide them with useful insight of their businesses. more... As the data comes in various formats, like XML, and other non-traditional data formats, coupled with the massive data volume, there is a critical need to investigate data storage and data processing optimization, utilizing contemporary database technology. Business intelligence also requires a coupling with knowledge discovery and data mining techniques, which provide the management tools to explore knowledge from data. less... |
| Key outcomes: |
| Researchers: | Assoc Prof Andrew Paplinski (Andrew.Paplinski@monash.edu.au), Prof Bala Srinivasan (Bala.Srinivasan@monash.edu), and Mr C Esson (Carli.Esson@monash.edu) |
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| Centre/s: | DSSE and CRIS |
| Funding: | ARC Linkage (Completed) |
| Project outline: | The research aims at improving the process of automatic fruit inspection and classification. Existing stereo vision algorithms to extract depth information are unsuitable for real time calculations.more... The increasing complexity and reducing cost of field programmable gate arrays along with the development of algorithms that have a high degree of parallelism and locality has created the possibility of performing the calculations required in real time. This projects aims to investigate the suitability of the various stereo vision algorithms available in the literature for real time hardware implementation with application to fruit shape estimation it real time. less... |
| Key outcomes: |
| Researchers: | A/Prof David Taniar, Prof Clement Leung (Hong Kong Baptist University, Hong Kong), A/Prof Wenny Rahayu (La Trobe University), and A/Prof Maytham Safar (Kuwait University) |
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| Partners: | University of Melbourne |
| Centre: | DSSE |
| Project outline: | The size of databases have seen exponential growth in the past, and such growth is expected to accelerate in the future, with the steady drop in storage cost accompanied by a rapid increase in storage capacity. To effectively manage such volume of data, it is necessary to employ parallel machines. more... This project studies high performance parallel database processing, covering not only massive volume of data, but also complex operation found in spatial queries, and semi-structured data generally found on the web (XML data). With the need to push the data onto the cloud in a Cloud computing environment, it is essential to investigate advanced data management, including query processing, data storage, security, and privacy. less... |
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| Researchers: | A/Prof David Taniar, and A/Prof Wenny Rahayu (La Trobe University), Dr Andrew Flahive (DSTO, Canberra), A/Prof Bernady Apduhan (Kyushu Sangyo University, Japan), Prof Norio Shiratori (Tohoku University, Japan) |
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| Centre: | DSSE |
| Funding: | JSPS, Japan |
| Project outline: | Sharing of knowledge and semantic interoperability within a Semantic Grid environment is enabled by the establishment of an appropriate standard to define the conceptual level of a meta-language, known as an ontology. more... In this environment, applications and resources need to be equipped with an underlying ontology as a backbone to achieve semantic interoperability. However, it is impractical to build a new ontology for every new application, and it is unlikely that an existing ontology is useful in its entirety for every new application. The aim of this project is to set up mechanisms for tailoring and sharing large ontologies among multiple user-nodes in a service-oriented grid environment. less... |
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