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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• 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.
• 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.
• 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.
• 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.
• Congratulations to Dr Jason Howarth who has won a Charles Sturt Teaching Academy grant with an amount of $5,000 to explore if ChatGPT can be used to assist with marking and providing feedback of Java programming assignments.
• Congratulations to Associate Professor Rafiqul Islam, Dr Quazi Mamun and Professor Zahid Islam who received $105,000 from Connectivity Innovation Network (CIN). The project title is “A Lightweight Adaptive Adversarial Attack-Resistant IDS”.
• Congratulations to Associate Professor Ashad Kabir, along with other Charles Sturt colleagues and external collaborators who received over $6.2 million from the Department of Agriculture, Fisheries and Forestry. The project aims to investigate the interdependence and whole-system effects of cropping and livestock components and managing environmental and social impacts in response to seasonal variation.
• Post-Doctoral Researcher Dr Darren Yates has developed another mobile app called "RiversNearMe" along with Professor Zahidul Islam, Professor Christopher Blanchard and Dr Sabih Rehman. The app provides real-time river level data within a 50-kilometer radius of the user's location in New South Wales. The app, freely available to farmers and anyone interested in rivers, sources its data from WaterNSW telemetry stations, allowing users to monitor trends and record peaks at specific locations. This app is a part of a collaborative research project with Food Agility CRC, Charles Sturt School of Computing, Mathematics and Engineering and Gulbali Institute of Agriculture, SunRice and AgriFutures. Further information is available from here.
• Dr Darren Yates from the Charles Sturt School of Computing, Mathematics and Engineering along with Professor Zahidul Islam, Dr Sabih Rehman and Professor Christopher Blanchard and other colleagues from Gulbali Institute of Agriculture, Water and Environment, has developed the Combined Location Online Weather Data (CLOWD) app which delivers an online tool to assist farmers in making better crop and pasture management decisions by analysing recent and historic weather for any location in Australia. The app is part of a Food Agility CRC collaborative research project with Charles Sturt University, SunRice and AgriFutures Australia. Further information is available from here.

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