Xizhe Wang, Xiaodi Huang (2026), AI-Driven Multi-Agent Adaptive Learning: Cognitive Anomaly Attribution & Guidance, National Natural Science Foundation of China (Grant No 62577051), $ 500,000 RMB.

External:

• Quinn, J., Cork, S. Zheng, L., Schmidtke, L., Preliminary evaluation of a hyperspectral image analysis prototype solution for objective assessment of IMF, flavour and yield in beef primals. 2025 – 2026, Meat & Livestock Australia Donor Company (MDC) - Research Grant, $1,175,933.
• Quinn, J. & Zheng, L. Review of value propositions for a hyperspectral image analysis solution in red meat processing. Co-Investigator, 2025, Meat & Livestock Australia Donor Company (MDC) - Research Grant, $62,000.

Internal:

• Kabir, A. (2025). Virtual Reality in Attracting Workforce in Rural and Regional Australia, AICF seed funding, $10,000.
• Rahman, G., Rehman, S., Bewong, M., and Islam, Z. (2025). AI for Mental Health Support. RHRI grant, $20,000.
• Rahman, G., Rehman, S., Fealy, S., and Irwin, P. (2025). AI-Powered Real-Time Human Activity Recognition Using Intrusive and Non-Intrusive Sensing. DSERU Uplift funding, $10,000.
• Rahman, G., and Islam, Z. (2025). An Adaptive Federated Learning Framework for Knowledge Discovery from Multi-Source Isolated Data. AICF seed funding, $10,000.

• Kabir, A. (2024). Artificial intelligence-guided personalized medical and assistive device prescription for improving clinical outcomes and adherence. National Industry PhD grant – Department of Education, $118,240.
• Zheng, L. Liang, B., Khan, A. Multi-Source Data Fusion and Deep Learning for 3D Flood Mapping, 2024– 2026, CIN inaugural scholarship, $105,000.
• Rahman, G., Bewong, M. and Rehman, S. (2024). Predicting exploits of cyber vulnerabilities in high-dimensional and class-imbalanced datasets. DSERU Grant, $4,000.
• 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, $7,000.
• 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.
• Otsuki, T., Paul, M., Mamun, Q., et al. (2024), ASPIRE: Research on Sensing, Actuation, Communication, and Mobile Intelligence Infrastructure for Ambient Intelligence”, Japan Science and Technology Agency (JST) ASPIRE (Adopting Sustainable Partnerships for Innovative Research Ecosystem), Japan International grant, $5,000,000.
• Mamun, Q. and Paul, M. (2024) Enhancing Automated Interaction: A Pilot Study on Improving AI Chatbot Accuracy and Response Time, $4,000.
• Khan, M., Dahshan, M., Shillabeer, A., Zheng, L. (2024). Developing automated machine learning based model for vulnerabilities detection in IoT devices and networks. Pilot Projects Funding 2024. $6,000.

• McGrath, S.  Swain, D., Swain, W., Kabir, A., Hossain, A. and Zheng, L. (2023). Breaking down barriers for cattle producers to access business value from their data. Meat and Livestock Australia Donor Company (MDC) - Research Grant, $150,000.
• Shawn, M., Harris, F., Storer, C., Kabir, A., Hely, S., Medway, J., Fear, D., Aves, C., Chappell, S., Lea, E., McCormick, J., Bond, J., Horta, A., Haque, S. and Cassidy, C., (2023). Long-term trials of drought resilient farming practices. Department of Agriculture, Fisheries and Forestry Grant, $6,229,926.
• Quinn, J.& Zheng, L. Evaluating a hyperspectral image analysis prototype for offal health and tissue integrity quality assurance for Australian red meat processing, 2023 – 2025, Meat & Livestock Australia Donor Company (MDC) - Research Grant, $4,368,791.
• Kabir, A. (2023). Analyzing diabetic patient data for the development of a clinical decision support system. AICF Seed Grant, $10,000.
• Osuagwu, L., Podubinski, T., Glenister, K., Ferdous, H. and Kabir, A. (2023). The use of virtual reality technology in building the rural health workforce, RHRI Grant, $50,000.
• Rahman, G., and Rehman, S. and Fealy, S. (2023). Investigating non-intrusive technology for real-time abnormality detection in elderly behavioral patterns. Artificial Intelligence and Cyber Futures (AICF) Institute Grant, $10,000.
• Rahman, G., Rehman, S., Dahshan, M., Debnath, T. and Khokhar, R. (2023). Detecting unusual behaviour of older adults through a semi-automatic incremental learning system. DSERU Grant, $5,000.
• Islam, R., Mamun, Q. and Islam, Z. (2023). A lightweight adaptive adversarial attack-resistant IDS. Connectivity Innovation Network (CIN) PhD scholarship Grant, $105,000.

• Harris, A.J.F., Rehman, S., Islam, M.Z., Rahman, A., Blanchard, L.C., Porker, K. and Hunt, J. (2022). Synthesis of data to optimise yield potential of barley in Australian farming systems. Grains Research and Development Corporation (GRDC) Grant, $750,307.
• Wang, L., Alejandro, F., Robinson, N., Naidu, R., Doyle, R., Breadmore, M. and Kabir, A. (2022). Rapid field-based soil measurement approach using an integrated smartphone system. Soil CRC Grant, $407,924.
• Zheng, L. and Kabir, A. (2022). Trakka cattle ID scholarship. Food Agility CRC Grant, $105,000.
• Shawn, M., Kabir, A., Zheng, L. and Medway, J. (2021). Breaking down barriers for cattle producers to access business value from their data. Meat and Livestock Australia Donor Company Grant, $150,000.
• Rehman, S., Islam, Z. and Blanchard, C. (2022). Wheat quality classification – an exploratory study. Data Science Research Unit Grant, $10,000.
• Islam, R., Paul, M., Islam, Z. and Mamun, Q. (2022) Designing and Developing Imaging Software Tools for Extracting Shipping Container Information in Real-Time using Offline Hand-Held Mobile Devices, GSK Global Pty Ltd, $35,000.

• Kabir, A., Paul, M., Zheng, L. and Rehman, S. (2021). Development of a grower-focused mobile app for estimation, analysing and recording soil properties. Soil CRC Grant, $121,000.
• Shawn, M., Kabir, A., Zheng, L., Medway, J. and Bentley, T. (2020). FA071: Trakka – making data flow. Food Agility CRC Grant, $348,100.
• Waters, D., Islam, Z., Blanchard, C., Rehman, S. and Schmidtke, L. (2021). Enhancing provenance and prediction for whole grain rice quality. Food Agility CRC and SunRice, Rice Research Australia Pty Ltd and Agrifutures Australia Grant, $608,000.
• Islam, Z., Rehman, S. and Mahboubi, A. (2021). Readiness of the Australian healthcare sector in adopting privacy preserving data sharing tools and techniques. Cyber Security CRC Grant, $10,700.
• Rehman, S., Islam, Z. and Howarth, J. (2021). Data analytics in healthcare. Data Science Research Unit Grant and Mid-North Coast Local Health District Grant, $7,500.
• Nathan Robinson, Peter Dahlhaus, Xiaodi Huang, David Medyckyj-Scott, Stephen Cahoon, Simon Clarendon, A coordinated and consistent approach to managing and enabling soil data, A$761,797.80, Soil CRC. 2021-2023.

• Medway, J., Kabir, A., Zheng, L., McGrath, S. Swain, D., Swain, W. (2020). FA071: Trakka – Making Data Flow. Food Agility CRC Grant, $348,100.
• Kabir, A. (2020). Investigating the viability of developing foot ulcer measurement applications for smartphones. Foot Balance Technology Pty Ltd, $16,297.
• Changqin Huang, Xiaodi Huang, Jia Zhou, Multi-Model Sentiment and Causality Analysis of Learners in Learning Cloud Space with Big Data, the National Natural Science Foundation of China (Grant No 61877020) $650,000 RMB.
• Xiaodi Huang, Feng Liu, Weidong Huang, Sophia Duan, Comprehensive Analysis of Student Online Data, Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJ1600512), A$2,232.

1. Ahshanul Haque, Predicting Child and Maternal Malnutrition using Community, Climate and Agricultural Factors: A Machine Learning Approach (2025 – now) Supervisors: Ashad Kabir, Mohmmad Ali Moni and Shehrin Shaila Mahmood.
2. Nur E Jannat Amee, Artificial intelligence-based optimization model for mitigating the maternal health risk factors in Bangladesh. (2024 – now). Supervisors: Ashad Kabir, Mohmmad Ali Moni and S.M. Manzoor Ahmed Hanifi.
3. John Zannes, An AI Integrated Transport Investment Model for Building Sustainable and Thriving Regions (2025 – now) Supervisors: Nariman Saeed and Ashad Kabir.
4. Danny Falero. Development of continual machine learning approaches (2023 – now). Supervisors: Gea Rahman and Ashad Kabir.
5. Kunal Kumar, Artificial intelligence-guided personalized medical and assistive device prescription for improving clinical outcomes and adherence (2023 – now). Supervisors: Ashad Kabir, Luke Donnan and Sayed Ahmed.
6. Dylan Warman. Ensuring user data security through a zero-knowledge proof based modern decentralised blockchain data storage system (2022 – now). Supervisors: David Tien and Ashad Kabir.
7. Mehedi Tajrian. Analysing child developments myths and facts using data science techniques, 2025. Supervisors: Azizur Rahman, Ashad Kabir and Rafiqul Islam.
8. Rabin Dulal. Deep Learning for Cattle Identification Using Muzzle Patterns. (2021 – now) Supervisors: Lihong Zheng and Ashad Kabir.
9. Wenfeng Jia. Deep Learning for 3D Flood Mapping Using Multi-modal Data. (2024 – now) Supervisors: Lihong Zheng, Bin Liang (UTS) and Arif Khan.
10. Khokan Kumar Saha, Grape and wine authentication using direct mass spectrometry and machine learning technique. (2023 – now) Supervisors: Lihong Zheng, XIaodi Huang, Leigh Schmidtke and Andrew Clark.
11. Will Wang, VPoP-Based Hyper Layer Overlay (VHLO): AI-Driven SD-WAN Path Optimization for Intercontinental Connectivity in Hybrid Cloud Data Centers, (2023 – now) (part-time) Supervisors: Lihong Zheng and Michael Bewong.
12. Eduardo Fraga da Silva, Trusted Operations of Robotic Systems in Contested environments (2024-now) Supervisors: Fendy Santoso and Lihong Zheng.
13. Thanasak Poomchaivej,Determining Migration Ecology of Select Mekong Fish Species in the Fish Pass of Xayaburi Hydroelectric Power Plant, Northern Laos. Supervisors: Lee J. Baumgartner, Xiaodi Huang,  Wayne Robinson,  Nathan Ning.
14. Dr Mahir Habib, A Framework for Sharing Livestock Event Information, 2025. Supervisors: Ashad Kabir and Lihong Zheng.
15. Dr Samrah Arif, Wireless Channel Characterisation for Low Power IoT Devices using Machine Learning Techniques, 2025. Supervisors: Muhammad Arif Khan and Sabih Rehman.
16. Dr Xiaojin Liao, A Federated Learning Framework and System for Land Mapping with Deep Learning and Visualisation, 2024. Supervisors: Xiaodi Huang and Lihong Zheng.
17. Dr Deborah Murdoch, Development of an ontology of course design in higher education, 2024. Supervisors: Lihong Zheng and Xiaodi Huang.
18. Dr Allister Clarke, Deciphering Head Rice Yield: Interpretable Machine Learning Models for Rice Milling Quality Predictions in Australia, 2024. Supervisors: Chris Blanchard, Zahid Islam, Darren Yates, Sabih Rehman, Russell Ford, and Robert Paul Walsh.
19. Dr Muhammad Rana, An Improved Lightweight Block Cipher Algorithm for Securing Resource-Constrained IoT Devices, 2024. Supervisors: Quazi Mamun and Rafiqul Islam.
20. Dr Syed Usman Jamil, Intelligent task off-loading and resource allocation for IOE devices in smart environment, 2023. Supervisors: Muhammad Arif Khan and Sabih Rehman.
21. Dr Ather Saeed, Fault-Localisation and Self-Stabilisation Technique for WSN, 2023, Supervisors: Muhammad Arif Khan and Tanveer Zia.
22. Dr Ahmed Ahmed, Deep learning inspired feature engineering approach for improving EMG pattern recognition in clinical applications, 2023. Supervisors: Tanveer Zia, Adel Al-Jumaily and Muhammad Arif Khan.
23. Dr Tharntip Chutikulrungsee, A phenomenological study of other-generated disclosure in online social networks, 2020. Supervisors: Yeslam Al-Saggaf and Muhammad Arif Khan.
24. Dr Muhammad Jafer,  Secure and efficient broadcast communication system in vehicle ad-hoc networks, 2020. Supervisors: Supervisors: Muhammad Arif Khan and Tanveer Zia.

1. Anne Chidgey, Accelerating the value of AIOps to server support in a managed services provider: A mixed method, case study (2021 – now). Supervisors: Ashad Kabir and Azizur Rahman.
2. Dr Peter Padiet, Analysis of Malicious Insider Threats to Data Integrity, 2024. Supervisors: Rafiqul Islam and Muhammad Arif Khan.
3. Dr Luke Bartlett, Business Process Management System Design: The Role of Virtualisation and Work Design, 2024. Supervisor: Ashad Kabir.
4. Dr Halime Cocaj, A scholar case study of IT education knowledge through practice for development, in a postconflict region Kosova: Increased investment in private education, slight distinction from public, 2024. Supervisor: Xiaodi Huang and Champake Mendis.

1. Martin Nguyen, Identifying Key Patient Predictor and Offloading Device Prescription Parameters Toward a Clinical Decision Support System: A Retrospective Data-Driven Insight from a Single-Centre Study, (2024 – now). Supervisor: Ashad Kabir.
2. Peter Smith, Advancing Memory Management in Large Language Models, (2024 – now). Supervisor: Ashad Kabir.
3. Ethan Hastings, Evaluating Large Language Models to Interpret Structural Engineering Drawings, 2025. Supervisor: Nariman Saeed and Ashad Kabir.
4. Steven Young, Chronic Wound Segmentation Using Deep Learning on 3D Point Cloud Data, 2022. Supervisor: Ashad Kabir.
5. Danny Falero, Leveraging Continual Learning in X-ray Classification for COVID-19 Screening Mobile App, 2022. Supervisor: Ashad Kabir.
6. Ricky Sinclair, Estimating Munsell Soil Colour using Smartphones, 2022. Supervisor: Ashad Kabir.
7. Riaz Hossain, Machine Learning Techniques for Estimating Soil Moisture from Smartphone Captured Images, 2022. Supervisor: Ashad Kabir.
8. Dylan Warman, COVIDFakeExplainer: An Explainable Machine Learning based Web Application for Detecting COVID-19 Fake News, 2021. Supervisor: Ashad Kabir.
9. Javeriah Saleem, The anonymity of the dark web: A survey, 2021. Supervisor: Rafiqul Islam and Ashad Kabir.
10. Md Ahad, Detection of Rice Leaf Disease Using Convolutional Neural Networks, 2021. Supervisor: Ashad Kabir.
11. Delowar Hossain, Detecting Autism Spectrum Disorder using Machine Learning, 2020, Supervisor: Ashad Kabir.
12. Samrah Arif, Investigating Smart Home Security: Is Blockchain the Answer?, 2020. Supervisors: Sabih Rehman and Ashad Kabir.