The Data Science and Engineering Research Unit (DSERU) is a research unit located in the Faculty of Business, Justice and Behavioural Sciences, within the School of Computing, Mathematics and Engineering. The research conducted by DSERU is centered around data-driven analysis in various fields, including data mining, machine learning, machine vision, cybersecurity, network simulation and modeling, computational intelligence, and robotics. The unit applies these areas of expertise to address real-world problems in information technology and engineering disciplines.

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• Dec 2024: Congratulations to our PhD student Sarah Condran and her supervision team—Dr. Michael Bewong, Prof. Zahid Islam, Associate Prof. Irfan Altas, and Dr. Selasi Kwashie—on receiving the Best Paper Award at the 25th Web Information Systems Engineering (WISE) conference. Sarah's research on false news detection was ranked as the top paper among 368 submissions at this globally recognized event.
• Dec 2024: Congratulations to our researchers on securing successful 2024 research grants, showcasing Charles Sturt University's commitment to impactful and innovative research. A list of successful 2024 grants is as below:
  1. External grants:
     1. Paul, M. and  Mamun, Q., Japanese international grant (i.e., ASPIRE) of $5M ($500k to CSU). Research on Sensing, Actuation, Communication, and Mobile Intelligence Infrastructure for Ambient Intelligence for the driverless car.
     2. Islam, R., Allan, C. and Islam, Z. (2024). Agricultural social benchmarking surveys - Part 3. Cyber Security CRC Grant, $421,000. Successful.
     3. Asaduzzaman, M. (2024). Biology, ecology and management of tropical soda apple, NSW Government Grant, $16,000. Successful.
     4. Nariman Saeed and Miao Li, Nano Particle size Analyser, Research Infrastructure Support Scheme 2024 ($76,000), The sustainability in Engineering Research Group. Successful.
  2. Internal grants:
     1. Rahman, G., Bewong, M. and Rehman, S. (2024). Predicting exploits of cyber vulnerabilities in high-dimensional and class-imbalanced datasets. DSERU Grant, $3,000.
     2. Rahman, A. and Rahman, G. (2024). Modelling algal blooms under varied climatic conditions using historical data-driven approaches in Australia: A pilot study. DSERU Grant, $6,000.
     3. Rahman, G., Dahshan, M., Rehman, S. Debnath, T. and Khokhar, R. (2024). Investigating machine learning methods for detecting early dementia. Tri-Faculty CSU Grant, $5,000.
     4. Sourabhi Debnath, Tanmoy Debnath, Mohammad Ali Moni, Manoranjan Paul. Project title: “Miracle material graphene and its potentiality in wearable sensor development for human health monitoring”, AICF Seed funding 2023/2024.
     5. Rahman, M. G., Dahshan, M., Rehman, S., Debnath, T., and Khokhar, R. (2024). Investigating Machine Learning Methods for Detecting Early Dementia. Tri-faculty Grant, $5,000.
     6. Rahman, M. G., and Islam, M. Z. (2024). An Adaptive Federated Learning Framework for Knowledge Discovery from Multi-Source Isolated Data. AICF seed funding, $10,000.
     7. Debnath, T., Chau, S., and Rahman, M. G. (2024). AI-Enabled Segmentation of Brain MRI: Investigating Links Between Brain Attributes, Physical Activity, Cognitive Functions, and Genetics with Gender and Age Considerations. AICF seed funding, $10,000.
     8. Rahman, M. G., Eskandari, H., Bewong, M., and Rehman, S. (2024). OutCenTR: A Method for Predicting Exploits of Cyber Vulnerabilities in High Dimensional Datasets. Tri-faculty Open Access Grant, $3,000.
     9. Debnath, T., Chau, S., and Rahman, M. G. (2024). From Black Box to Clarity: Strategies for Effective AI Informed Consent in Healthcare. Tri-faculty Open Access Grant, $3,170.
• Dec 2024: We are proud to celebrate the outstanding achievements of its researchers and research teams in 2024, showcasing excellence, innovation, and impact across diverse fields:
  • The DSERU Team received the prestigious 2024 Charles Sturt Excellence Award (Research) for their remarkable contributions.
  • Dr. Arash Mahboubi was recognized with the Early Career Researcher Award in the 2024 Vice-Chancellor's Research Excellence Awards.
  • Dr. Mahboubi, alongside his team, was also named a finalist for the AISA Cyber Security Awards 2024 in the category of Researcher of the Year, highlighting his exceptional work in cybersecurity.
  • Dr. Mahboubi was awarded an international patent (WO2024148395) for "Ransomware Resilient File Safe Havens for Cloud Data Storage."
  • Dr. Luke Bartlett, supervised by Prof. Ashad Kabir, earned the HDR Thesis of the Year for BJBS in the Vice-Chancellor's Research Excellence Awards, a testament to the high quality of research produced by Charles Sturt University's graduate students.
• May 2024: Congratulations to Professor Manoranjan Paul who is ranked #348 in Australia among Best Scientists for 2024, as per the 2024 Edition of Best Scientists ranking in the field of Computer Science released by Research.com. The ranking is based on D-index (Discipline H-index) metric, which only includes papers and citation values for an examined discipline. The complete ranking is available from here: research.com/scientists-rankings/computer-science/au.
• April 2024: Congratulations to Professor Manoranjan Paul for his project submission on “Scalable Video Coding for Connected Machine with Different Learning Models” being shortlisted by the Australian Research Council for review in round 1. We wish Prof Paul the best of luck for the next round.
• April 2024: The CSU Strategic Workshop on Cyber Security Related Research Activities was held at the International Hotel, Wagga Wagga from February 7th to 8th, 2024. This event aimed to foster connections among key stakeholders in the cybersecurity field, establishing a cross-disciplinary platform for the exchange of innovative research ideas, discussions on state-of-the-art advancements, and the exploration of activities that will drive CSU’s research in cybersecurity. Further information about the workshop is available from here.
• April 2024: Congratulations to Associate Professor Ashad Kabir for receiving a National Industry PhD Program research grant with an amount of over $88,000 as the lead investigator in partnership with Foot Balance Technology Pty Ltd. This project aims to address the issue of generic medical and assistive device prescriptions for patients with diabetic-related foot disease by utilising and advancing artificial intelligence to guide personalised device prescriptions, allowing for individual patient preferences and lifestyles.

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