Enterprise Information Solutions

TypeDepartment/Institute
Faculty/DepartmentInformation Technology and Digital Services

Latest research outputs

35 results found
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AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Xie, Haoran, Dai, Hong-Ning, Zhao, Feng and Yong, Jianming. 2025. "AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts." Brain Informatics. 12 (1). https://doi.org/10.1186/s40708-025-00262-1

Article

Evaluating an Artificial Intelligence (AI) Model Designed for Education to Identify Its Accuracy: Establishing the Need for Continuous AI Model Updates
Verma, Navdeep, Getenet, Seyum, Dann, Christopher and Shaik, Thanveer. 2025. "Evaluating an Artificial Intelligence (AI) Model Designed for Education to Identify Its Accuracy: Establishing the Need for Continuous AI Model Updates." Education Sciences. 15 (4). https://doi.org/10.3390/educsci15040403

Article

Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
Shaik, Thanveer, Tao, Xiaohui, Xie, Haoran, Li, Lin, Zhu, Xiaofeng and Li, Qing. 2024. "Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy." IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2024.3486109

Article

Advancing Educational Content Classification via Reinforcement Learning-Integrated Bloom's Taxonomy
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Dann, Christopher, Sun, Yuan and Sun, Yi. 2024. "Advancing Educational Content Classification via Reinforcement Learning-Integrated Bloom's Taxonomy." 2023 3rd International Conference on Digital Society and Intelligent Systems (DSInS). Chengdu, China 10 202 - 12 Nov 2023 IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/DSInS60115.2023.10455310

Paper

Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence
Shaik, Thanveer, Tao, Xiaohui, Xie, Haoran, Li, Lin, Yong, Jianming and Li, Yuefeng. 2024. "Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence." IEEE Transactions on Emerging Topics in Computational Intelligence. 8 (4), pp. 2908-2918. https://doi.org/10.1109/TETCI.2024.3398024

Article

Making sense of student feedback and engagement using artificial intelligence
Dann, Christopher, Redmond, Petrea, Fanshawe, Melissa, Brown, Alice, Getenet, Seyum, Shaik, Thanveer, Tao, Xiaohui, Galligan, Linda and Li, Yan. 2024. "Making sense of student feedback and engagement using artificial intelligence." Australasian Journal of Educational Technology. 40 (3). https://doi.org/10.14742/ajet.8903

Article

FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Xie, Haoran, Cai, Taotao, Zhu, Xiaofeng and Li, Qing. 2024. "FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning ." IEEE Transactions on Knowledge and Data Engineering. 36 (10), pp. 5153-5167. https://doi.org/10.1109/TKDE.2024.3382726

Article

A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Xie, Haoran and Velasquez, Juan D.. 2024. "A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom." Information Fusion. 102. https://doi.org/10.1016/j.inffus.2023.102040

Article

Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Higgins, Niall, Gururajan, Raj, Zhou, Xujuan and Yong, Jianming. 2024. "Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion." Pattern Recognition Letters. 177. https://doi.org/10.1016/j.patrec.2023.12.004

Article

The Impact on Employability by COVID-19 Pandemic - AI Case Studies
Bandi, Venkata Bharath, Tao, Xiaohui, Shaik, Thanveer, Yong, Jianming and Zhang, Ji. 2023. "The Impact on Employability by COVID-19 Pandemic - AI Case Studies ." 24th International Conference on Web Information Systems Engineering (WISE 2023). Melbourne, Australia 25 - 27 Oct 2023 Singapore . Springer. https://doi.org/10.1007/978-981-99-7254-8_66

Paper

Revolutionizing healthcare with federated reinforcement learning: from machine learning to machine unlearning
Shaik, Thanveer Basha. 2023. Revolutionizing healthcare with federated reinforcement learning: from machine learning to machine unlearning. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z6096

PhD by Publication

Designing an artificial intelligence tool to understand student engagement based on teacher's behaviours and movements in video conferencing
Verma, Navdeep, Getenet, Seyum, Dann, Christopher and Shaik, Thanveer. 2023. "Designing an artificial intelligence tool to understand student engagement based on teacher's behaviours and movements in video conferencing." Computers and Education: Artificial Intelligence. 5. https://doi.org/10.1016/j.caeai.2023.100187

Article

Routing Protocol for Healthcare Applications Data Over the 6LoWPAN-based Wireless Sensor Networks
Zhang, Zhongwei, Hu, Hong and Hu, Xiaohua. 2023. "Routing Protocol for Healthcare Applications Data Over the 6LoWPAN-based Wireless Sensor Networks." Howlett, R. (ed.) 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023). Athens, Greece 04 - 08 Sep 2023 Elsevier. https://doi.org/10.1016/j.procs.2023.10.206

Paper

Characteristics of engaging teaching videos in higher education: a systematic literature review of teachers’ behaviours and movements in video conferencing
Verma, Navdeep, Getenet, Seyum, Dann, Christopher and Shaik, Thanveer. 2023. "Characteristics of engaging teaching videos in higher education: a systematic literature review of teachers’ behaviours and movements in video conferencing." Research and Practice in Technology Enhanced Learning. 18. https://doi.org/10.58459/rptel.2023.18040

Article

Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Li, Li, Gururajan, Raj, Zhou, Xujuan and Acharya, U. Rajendra. 2023. "Remote patient monitoring using artificial intelligence: Current state, applications, and challenges." WIREs Data Mining and Knowledge Discovery. 13 (2). https://doi.org/10.1002/widm.1485

Article

AI enabled RPM for Mental Health Facility
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Xie, Haoran, Gururajan, Raj and Zhou, Xujuan. 2022. "AI enabled RPM for Mental Health Facility." 1st ACM Workshop on Mobile and Wireless Sensing for Smart Healthcare (WMSSH 2022). Sydney, Australia 21 Oct 2022 New York, United States. https://doi.org/10.1145/3556551.3561191

Paper

A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis
Shaik, Thanveer, Tao, Xiaohui, Li, Yan, Dann, Christopher, McDonald, Jacquie, Redmond, Petrea and Galligan, Linda. 2022. "A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis." IEEE Access. 10, pp. 56720-56739. https://doi.org/10.1109/ACCESS.2022.3177752

Article

FedStack: Personalized Activity Monitoring using Stacked Federated Learning
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Gururajan, Raj, Li, Yuefeng, Zhou, Xujuan and Acharya, U Rajendra. 2022. "FedStack: Personalized Activity Monitoring using Stacked Federated Learning." Knowledge-Based Systems. 257, pp. 1-14. https://doi.org/10.1016/j.knosys.2022.109929

Article

Educational Decision Support System Adopting Sentiment Analysis on Student Feedback
Shaik, Thanveer, Tao, Xiaohui, Dann, Chris, Quadrelli, Carol, Li, Yan and O’Neill, Shirley. 2022. "Educational Decision Support System Adopting Sentiment Analysis on Student Feedback." 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). Niagara Falls, Canada 17 - 20 Nov 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/WI-IAT55865.2022.00062

Paper

An Improved Machine-Learning Approach for COVID-19 Prediction Using Harris Hawks Optimization and Feature Analysis Using SHAP
Debjit, Kumar, Islam, Md Saiful, Rahman, Md. Abadur, Pinki, Farhana Tazmim, Nath, Rajan Dev, Al-Ahmadi, Saad, Hossain, Md. Shahadat, Mumenin, Khondoker Mirazul and Awal, Md. Abdul. 2022. "An Improved Machine-Learning Approach for COVID-19 Prediction Using Harris Hawks Optimization and Feature Analysis Using SHAP." Diagnostics. 12 (5). https://doi.org/10.3390/diagnostics12051023

Article

Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities
Tao, Xiaohui, Shaik, Thanveer Basha, Higgins, Niall, Gururajan, Raj and Zhou, Xujuan. 2021. "Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities." Sensors. 21 (3), pp. 1-20. https://doi.org/10.3390/s21030776

Article

Records and information management framework: practical strategic sagacity
England, Kaye. 2018. "Records and information management framework: practical strategic sagacity." Informaa Quarterly. 34 (2), pp. 26-27.

Article

Records…what records? A services oriented marketing approach
England, Kaye. 2017. "Records…what records? A services oriented marketing approach." inForum Conference 2017. Brisbane, Australia 11 - 13 Sep 2017

Paper

Screen Capture software and follow-up strategies in an EDRMS deployment
England, Kaye Janelle. 2013. "Screen Capture software and follow-up strategies in an EDRMS deployment." IQ: The RIM Quarterly. 29 (4), pp. 11-14.

Article

Preparing your library for mobile devices
Callow, Mandy and England, Kaye. 2011. "Preparing your library for mobile devices ." 3rd International m-libraries Conference 2011: Mobile Technologies: Information on the Move. Brisbane, Australia 11 - 13 May 2011 Brisbane, Australia.

Paper

Accurate and robust algorithms for microarray data classification
Hu, Hong. 2008. Accurate and robust algorithms for microarray data classification. PhD Thesis Doctor of Philosophy. University of Southern Queensland.

PhD Thesis

Robustness analysis of diversified ensemble decision tree algorithms for microarray data classification
Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant and Wang, Li-Zhen. 2008. "Robustness analysis of diversified ensemble decision tree algorithms for microarray data classification." ICMLC 2008: 7th International Conference on Machine Learning and Cybernetics. Kunming, China 12 - 15 Jul 2008 United States. https://doi.org/10.1109/ICMLC.2008.4620389

Paper

Combined gene selection methods for microarray data analysis
Hu, Hong, Li, Jiuyong, Wang, Hua and Daggard, Grant. 2006. "Combined gene selection methods for microarray data analysis." Gabrys, Bogdan, Howlett, Robert J. and Jain, Lakhmi C. (ed.) 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2006). Bournemouth, United Kingdom 09 - 11 Oct 2006 Germany. Springer. https://doi.org/10.1007/11892960_117

Paper

A robust ensemble classification method analysis
Zhang, Zhongwei, Li, Jiuyong, Hu, Hong and Zhou, Hong. 2010. "A robust ensemble classification method analysis." Arabnia, Hamid R. (ed.) Advances in computational biology. New York, NY. United States. Springer. pp. 149-155

Edited book (chapter)

On the effectiveness of gene selection for microarray classification methods
Zhang, Zhongwei, Li, Jiuyong, Hu, Hong and Zhou, Hong. 2010. "On the effectiveness of gene selection for microarray classification methods." Nguyen, Ngoc Thanh, Le, Manh Thanh and Swiatek, Jerzy (ed.) 2nd Asian Conference on Intelligent Information and Database Systems (ACIIDS 2010). Hue City, Vietnam 24 - 26 Mar 2010 Heidelberg, Germany. https://doi.org/10.1007/978-3-642-12101-2_31

Paper

The road less travelled: leadership and engagement of learners in a collaborative learning environment
England, Kaye. 2009. "The road less travelled: leadership and engagement of learners in a collaborative learning environment." ALIA 2009 National Library and Information Technicians Conference . Adelaide, Australia 15 - 18 Sep 2009 Canberra, Australia.

Paper

Using association rules to make rule-based classifiers robust
Hu, Hong and Li, Jiuyong. 2005. "Using association rules to make rule-based classifiers robust." Williams, Hugh E. and Dobbie, Gillian (ed.) ADC 2005: 16th Australasian Database Conference. Newcastle, Australia 31 Jan - 03 Feb 2005 Sydney, Australia.

Paper

Building institutional repository infrastructure in regional Australia
Drury, Caroline. 2006. "Building institutional repository infrastructure in regional Australia." OCLC Systems and Services: international digital library perspectives. 23 (4), pp. 395-402. https://doi.org/10.1108/10650750710831538

Article

A maximally diversified multiple decision tree algorithm for microarray data classification
Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant and Shi, Mingren. 2006. "A maximally diversified multiple decision tree algorithm for microarray data classification." Boden, Mikael and Bailey, Timothy (ed.) Workshop on Intelligent Systems for Bioinformatics (2006). Hobart, Australia 04 Dec 2006 Sydney, Australia.

Paper

A comparative study of classification methods for microarray data analysis
Hu, Hong, Li, Jiuyong, Plank, Ashley, Wang, Hua and Daggard, Grant. 2006. "A comparative study of classification methods for microarray data analysis." Christen, Peter, Kennedy, Paul J., Li, Jiuyong, Simoff, Simeon J. and Williams, Graham J. (ed.) 5th Australasian Conference on Data Mining and Analystics (AusDM 2006). Sydney, Australia 29 - 30 Nov 2006 Canberra, Australia.

Paper

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