Charles Sturt University
Charles Sturt University
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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 Dr Ashad Kabir, A/Prof Lihong Zheng and colleagues who received external funds from Food Agility CRC with an amount of $374,500. The project title is “TRAKKA – Making Data Flow”.
  • Congratulations to A/Prof Rafiqul Islam, Dr Ba Dung Le and Prof Zahid Islam. The project team working on a Cyber Security CRC (CSCRC) funded project (titled "Development of Australian Cyber Criteria Assessment") received the prestigious Cyber Security Researcher of the Year Award 2021 from the Australian Information Security Association (AISA). This is a collaborative project with researchers from Deakin University, Charles Sturt University (CSU), industry and government partners: the Quintessence Lab and Australian Cyber Security Centre (ACSC). Congratulations to all team members of the project.
  • Congratulations to Dr Ashad Kabir, Dr Nathan Robinson (Fed Uni) and Dr Liang Wang (Newcastle Uni) who received external funds from Soil CRC PhD Scholarship with an amount of $133,000. The project title is “Development of a grower focused mobile app for estimation, analysis and recording soil properties”. (CSU Reference Number RM-103364)
  • Congratulations to the following colleagues who received external funds from Cyber Security CRC (CSCRC):
    * Project title: “Privacy-preserving data collection for statistical aggregation”, PhD scholarship for a PhD student under the supervision of Professor Tanveer Zia, Professor Zahid Islam and Dr Ba Dung Le. Funding amount: $180,000. (CSU Research Office Project Reference Number: 0000103352).
    * Project title: “A novel technique to detect and protect sensitive data against malware attacks in hyper-connected network”, PhD scholarship for a PhD student under the supervision of Associate Professor Rafiqul Islam, Professor Zahid Islam and Dr Arif Khan. Funding amount: $180,000. (CSU Research Office Project Reference Number: 0000102972).
  • Congratulations to Professor Zahid Islam, Dr Michael Bewong and Dr Ryan Ip for receiving an external fund with an amount of $31,245 from VetCompass Australia.  The project title is "VetCompass Data Investigation".
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Research Groups

Data Mining Research Area (DaMRA)

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

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

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

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

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

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School of Computing, Mathematics and Engineering

The School of Computing, Mathematics and Engineering 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 and Engineering on-campus. 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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