Home
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.
Latest News
- 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.
More 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.
Sustainability in Engineering Research Group
The Sustainability in Engineering Research Group (SERG) offers promising solutions for both emerging and existing environmental challenges.
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.
Twitter
Youtube