Data Science Research Unit (DSRU) is in the Faculty of Business, Justice and Behavioural Sciences and 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
- Congratulations to Associate Professor Lihong Zheng for receiving an external fund with an amount of $589,525 from Department of Agriculture, Water and the Environment. The project title is “Weed mangers guide to remote detection". Understanding opportunities and limitations of multi-resolution and multi-modal technologies for remote detection of weeds in heterogeneous landscapes.
- Congratulations to the following 2020 DSRU Summer Scholarship recipients who each receive an amount of $2,800 for conducting a research project. Many thanks to all three members of the assessment committee: Professor Tanveer Zia, Professor Rafiqul Islam and Professor Lihong Zheng.
- Congratulations to Associate Professor Zahid Islam who has received an external fund for an amount of $30,030 (including GST) from the Department of Agriculture, Water and Environment and Data61, CSIRO. The project title is “Database Schema Matching”. [CSU Research Office Project Reference Number: 0000103179]
- Along with Associate Professor Philip Birch, Associate Professor Zahid Islam is a co-recipient of funding from NSW Police for an amount of $15,000. The project title is "Crime and Disorder Audit, Wagga Wagga". [CIs: Philip Birch and Zahid Islam. CSU Research Office Project Reference number: 0000103092.]
- DSRU researchers are working on COVID-19 related research. Eleven members of DSRU have received funding from the CSU COVID-19 Research Grant. The projects are:
“The Corona Score: Assessment and monitor the progression of COVID-19 using artificial intelligence with multi-modal data” (led by Prof. Manoranjan Paul),
“Designing privacy preserving and secure contact tracing mobile apps to combat COVID-19” (led by Dr Ashad Kabir),
“Modelling firewall strategies for controlling COVID-19 outbreak in New South Wales, Australia” (led by A/Prof. Azizur Rahman) and
“Developing an intervention model to assess effectiveness of policy measures on COVID-19 outbreak in Australia” (led by Dr Ryan Ip).
Congratulations to all teams.
| Name | Supervisors | Project Title |
| Sarah Condran | Michael Bewong, Zahid Islam and Lancelot Maphosa | Intelligent Agronomy: towards effective and explainable machine learning models |
| Danny Falero | Ashad Kabir, Lihong Zheng and Michael Bewong | Machine learning for detecting COVID-19 severity from chest x-ray |
| Jannatul Ferdous | Rafiqul Islam, Zahid Islam and Maumita Bhattacharya | Analysis of malware data using ML algorithms |
| Abraham Oh | Zahid Islam, Rafiqul Islam and Ryan Ip | Application of data mining on financial market prediction |
| Dylan Warman | Ashad Kabir, Michael Bewong and Quazi Mamun | Towards developing a tool for automatically detecting fake news |
Research Groups
Data Mining Research Area (DaMRA)
We develop novel techniques and algorithms for all steps of data mining starting from data pre-processing and cleansing to future prediction and policy/strategy development.
Machine Vision and Digital Health (MaViDH) Research Group
One of the aims of the MaViDH research group is to tackle issues related to Digital health research for remote people.
Cybersecurity Research Group
The aim of this Group is to address the security issues that accompany the advancements in information and communication technologies (ICTs).
Imaging and Sensing Research Group
The group's focus is to design, model, develop or apply technology to solve real-world problems in industries such as agriculture, viticulture, environment, and law enforcement.
Advanced Networks Research Group
The Advanced Networks Research Lab (ANRL) aims to address various challenges in the use of wired and wireless networks.
Contact us
Email: datascience@csu.edu.au
Our team: see staff contacts
Quicklinks
School of Computing and Mathematics
SCM is a multi-campus school offering courses in Information Technology, Computer Science, Games Programming, and Mathematics and Statistics, in both on-campus and online modes. It boasts an excellent research record with a focus on applied research in emerging areas of Cyber Security, Artificial Intelligence, Data Mining, e-Health, Image Processing, ICT Security, Applied Mathematics and Statistics.
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