Charles Sturt University
Charles Sturt University
  • Computing and Mathematics
    Solving Real World Problems Through Data
  • Computing news
    View recent news about computing at Charles Sturt

    View news

  • IT Courses
    View Charles Sturt IT Courses

    Learn more

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

  • Associate Professor Yeslam Al-Saggaf has been successful in the ICS 2022-2023 Challenge: “Youth, Relationships and Psychological Well-Being”. He will be visiting the Institute for Culture and Society (ICS) at the University of Navarra – one of the top five universities in Spain - as a Visiting Research Fellow. Congratulations!
  • Manoranjan Paul is the 91st most cited author in IEEE ACCESS journal (Q1 journal) in 2020 according to Exaly (https://exaly.com/author/895104/manoranjan-paul/rankings). In 2020, 18007 articles have been published in IEEE Access journal. Prof Paul and his research team published the highly cited paper with the collaborations of CSU, UTS and Manning Rural Referral Hospital, Taree and funded by CSU and UTS: M. J. Horry, S. Chakraborty, M. Paul, A. Ulhaq, B. Pradhan,  M. Saha, and N. Shukla, "COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data," in IEEE Access, vol. 8, pp. 149808-149824, 2020, doi: 10.1109/ACCESS.2020.3016780.  
    The paper is related to COVID-19 detection using Artificial Intelligence (specifically transfer learning of deep machine learning) with x-ray image, CT, and Ultrasound data. The technique is highly effective when we have scarcity of sample data for training.
  • Dr. Anwaar Ulhaq has been successful in securing a Regional University Network’s (RAMHeaRT) research fellowship for one year as a mid-career researcher with the funding support of $42,000.
  • Congratulations to Dr Anwaar Ulhaq and Assoc Prof Aamar Cheema (Monash) for receiving the Monash University Research Fund with an amount of $200,000. The project title is “AI for Spatial Digital Twin”.
  • Congratulations to all colleagues who were successful recipients for Data Science Research Unit’s Interim Funding schemes.  A successful total grant of $210,000 is being dispersed over a number of projects after receiving strong applications for many exciting projects which should enhance our industry connections and partnerships and result in the publication of high-quality papers.  Further details about the projects can be found on the Projects page.

    Following the advice from relevant assessment panels, the Data Science Research Unit (DSRU) awarded funding for the following schemes:
    • Teaching buyout support of around $35,000 to 7 DSRU members. The goal is to free up some time for our colleagues so that they can spend more time on their research resulting in top quality publications, external funding, and impact.
    • Lab Technician Support of around $30,000 for three DSRU labs: the Data Analytics Lab at Port Macquarie, Computer Vision Lab at Bathurst, and Advanced Networking Lab at Wagga. The purpose of this funding includes allowing remote access to some equipment, preparation of the lab manuals, maintenance of lab equipment etc. The underlying goal is to make our labs helpful towards increasing top quality publications and external funding.
    • Research Pilot Projects for approximately $50,000 for 6 different pilot projects. The pilot projects aimed strong interaction with industry partners and create opportunities for further external funding. Each project had a collaborative team of investigators from DSRU. They were in collaboration with various potential industry partners including Wheat Quality Australia (WQA), GSK Global, Central West Farming Systems (CWFS), Mid North Coast LHD (MNCLHD) and TerraCipher. Some of these projects are currently negotiating external funding.
    • Infrastructure funding of around $14,000 to support our colleagues. The equipment will belong to DSRU labs. The goal here is again to help DSRU members towards impactful research, top quality publications and external funding.
    • DSRU Summer Scholarships were awarded to 12 students with total budget of around $36,000. The goal was to encourage our good students to experience research work and possible future opportunities.
    • DSRU Good Idea scheme of $15,000 for 2 projects with multiple colleagues in each project. These projects aim to get groundwork for external funding from various sources including ARC DP and industry partners.
  • 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”.
More news

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

Quicklinks

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.

Find out more about our School

For Members

Become a member

For members

  • Resources for members - coming soon