Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities. - Xiaohui Tao 001; Thanveer Basha Shaik; Niall Higgins; Raj Gururajan; Xujuan Zhou (Sensors, 2021)

AI enabled RPM for mental health facility. - Thanveer Shaik; Xiaohui Tao 001; Niall Higgins; Haoran Xie 001; Raj Gururajan; Xujuan Zhou (MWSSH@MobiCom, 2022)

Educational Decision Support System Adopting Sentiment Analysis on Student Feedback. - Thanveer Shaik; Xiaohui Tao 001; Christopher Dann; Carol Quadrelli; Yan Li 002; Shirley O'Neill (WI/IAT, 2022)

A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis. - Thanveer Shaik; Xiaohui Tao 001; Yan Li 002; Christopher Dann; Jacquie McDonald; Petrea Redmond; Linda Galligan (IEEE Access, 2022)

FedStack: Personalized activity monitoring using stacked federated learning. - Thanveer Shaik; Xiaohui Tao 001; Niall Higgins; Raj Gururajan; Yuefeng Li; Xujuan Zhou; U. Rajendra Acharya (Knowl. Based Syst., 2022)

AutoBloom: AI-Based Classification of Cognitive Levels in Educational Content. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Yuan Sun; Yan Li 002; Ji Zhang 001; Christopher Dann (WI/IAT, 2023)

The Impact on Employability by COVID-19 Pandemic - AI Case Studies. - Venkata Bharath Bandi; Xiaohui Tao 001; Thanveer Shaik; Jianming Yong; Ji Zhang 001 (WISE, 2023)

Designing an artificial intelligence tool to understand student engagement based on teacher's behaviours and movements in video conferencing. - Navdeep Verma; Seyum Tekeher Getenet; Christopher Ewart Dann; Thanveer Shaik (Comput. Educ. Artif. Intell., 2023)

Multimodality Fusion for Smart Healthcare: a Journey from Data, Information, Knowledge to Wisdom. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; Juan D. Velásquez 001 (CoRR, 2023)

QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems. - Thanveer Shaik; Xiaohui Tao 001; Haoran Xie 001; Lin Li 001; Juan D. Velásquez 001; Niall Higgins (CoRR, 2023)

PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; U. Rajendra Acharya; Raj Gururajan; Xujuan Zhou (CoRR, 2023)

AI-Driven Patient Monitoring with Multi-Agent Deep Reinforcement Learning. - Thanveer Shaik; Xiaohui Tao 001; Haoran Xie 001; Lin Li 001; Jianming Yong; Hong-Ning Dai (CoRR, 2023)

Sentiment analysis and opinion mining on educational data: A survey. - Thanveer Shaik; Xiaohui Tao 001; Christopher Dann; Haoran Xie 001; Yan Li 002; Linda Galligan (Nat. Lang. Process. J., 2023)

Characteristics of engaging teaching videos in higher education: a systematic literature review of teachers' behaviours and movements in video conferencing. - Navdeep Verma; Seyum Tekeher Getenet; Christopher Dann; Thanveer Shaik (Res. Pract. Technol. Enhanc. Learn., 2023)

Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. - Thanveer Shaik; Xiaohui Tao 001; Niall Higgins; Lin Li 001; Raj Gururajan; Xujuan Zhou; U. Rajendra Acharya (WIREs Data. Mining. Knowl. Discov., 2023)

Improving Predictive Accuracy of Multilabel Classification for Cancer Subtypes in Imbalanced Datasets. - Markian Jaworsky; Xiaohui Tao 001; Thanveer Shaik; J. Yong; Lei Pan 002; Ji Zhang 001; Shiva Raj Pokhrel (HIS, 2024)

Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Niall Higgins; Raj Gururajan; Xujuan Zhou; Jianming Yong (Pattern Recognit. Lett., 2024)

A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; Juan D. Velásquez 001 (Inf. Fusion, 2024)

Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence. - Thanveer Shaik; Xiaohui Tao 001; Haoran Xie 001; Lin Li 001; Jianming Yong; Yuefeng Li (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; Taotao Cai; Xiaofeng Zhu 001; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Predictive deep reinforcement learning with multi-agent systems for adaptive time series forecasting. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; U. Rajendra Acharya; Raj Gururajan; Xujuan Zhou (Knowl. Based Syst., 2025)

Exploring Incremental Unlearning: Techniques, Challenges, and Future Directions. - Sadia Qureshi; Thanveer Shaik; Xiaohui Tao 001; Haoran Xie 001; Lin Li 001; Jianming Yong; Xiaohua Jia (CoRR, 2025)

Towards Transparent Deep Learning in Medicine: Feature Contribution and Attention Mechanism-Based Explainability. - Thanveer Shaik; Xiaohui Tao 001; Haoran Xie 001; Lin Li 001; Niall Higgins; Juan D. Velásquez 001 (Hum. Centric Intell. Syst., 2025)

Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy. - Thanveer Shaik; Xiaohui Tao 001; Haoran Xie 001; Lin Li 001; Xiaofeng Zhu 001; Qing Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; Hong-Ning Dai; Feng Zhao 003; Jianming Yong (Brain Informatics, 2025)