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Welcome to Data Science Research Unit
Data Science Research Unit (DSRU) focuses on machine learning, machine vision, cybersecurity, simulation and modelling, computational intelligence and robotics as well as the application of these fields to real-world problems.
Latest News
- We are organising the 16th Australasian Data Mining conference (AusDM 2018) in Bathurst from 28 November to 30 November 2018. Please visit http://ausdm18.ausdm.org/ for more information.
- DSRU welcomes Miss Jing Wang, who is visiting from Bournemouth University, UK as EU Marie Curie Fellow. Jing will be working on the application of machine learning in multimedia and recommending systems as part of the EU Horizon 2020 project - High Dimensional Heterogeneous Data based Animation Techniques for Southeast Asian Intangible Cultural Heritage Digital Content (AniAge), of which CSU is an international partner.
- Members of DSRU have successfully secured CSU's official partnership in EU COST Action CA16101 - "MULTI-modal Imaging of FOREnsic SciEnce Evidence (MULTI-FORESEE)- tools for Forensic Science". CSU's role is to host EU researchers on their Short Term Scientific Missions, contribute to international training, and supporting networking events. CSU is the only organisation of COST International Partner Countries (i.e. non-COST States). More details can be found at http://www.cost.eu/COST_Actions/ca/CA16101?parties.
- Associate Professor Manoranjan Paul received the ICT Researcher of the Year 2017 award by the Australian Computer Society (ACS). This recognises his contribution across the wide range of research areas such as video technology, e-health, data science, computer vision, medical imaging, machine learning in terms of citations, publications, grants, impact on his organisation, industry and the wider community.
- Our Predictive Risk Stratification Tool for reducing avoidable hospital admission for Murrumbidgee Local Health District of the NSW Health has received the Innovation Award 2017 from the Agency for Clinical Innovation (ACI). Contact Associate Professor Zahid Islam for more information.