1. Privacy-preserving multimodal federated learning pipeline for cyber-resilient healthcare systems. Md Iftekhar Monzur Tanvir,Habibor Rahman Rabby,Md Habibul Arif,Nusrat Yasmin Nadia,Kamruddin Nur

2. Tanvir, M.I.M., Nadia, N.Y., Rabby, H.R. et al. Spatial–temporal graph neural network with autoencoder pretraining for intrusion detection in healthcare IoT ecosystems. Sci Rep (2026). https://doi.org/10.1038/s41598-026-45041-y

1. H. R. Rabby, M. H. Arif, M. I. M. Tanvir, N. Y. Nadia, S. R. Sultana and K. Nur, "Multi-Task Hybrid Deep Learning with Cross-Domain Alignment for Real-Time Sentiment Analysis in Clinical Decision Support Systems," 2025 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), Sakhir, Bahrain, 2025, pp. 1-7, doi: 10.1109/3ict68299.2025.11442074. keywords: {Decision support systems;Deep learning;Measurement;Sentiment analysis;Adaptation models;Mental health;Linguistics;Multitasking;Real-time systems;Medical diagnostic imaging;Sentiment analysis;multi-task learning;crossdomain alignment;clinical decision support systems;mental health detection;medical natural language processing},

2. M. I. M. Tanvir, N. Y. Nadia, H. R. Rabby, M. H. Arif, S. R. Sultana and K. Nur, "Self-Supervised and Domain-Adaptive Deep Learning for Early Detection of Cyber-Attacks in Healthcare Iot Systems," 2025 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), Sakhir, Bahrain, 2025, pp. 1-8, doi: 10.1109/3ict68299.2025.11442237. keywords: {Deep learning;Accuracy;Image edge detection;Intrusion detection;Medical services;Transformers;Heterogeneous networks;Internet of Things;Ransomware;Long short term memory;Healthcare IoT;Cybersecurity;Intrusion Detection;Self-Supervised Learning;Domain Adaptation;Early Attack Detection},

3. N. Y. Nadia, H. R. Rabby, M. H. Arif, M. I. M. Tanvir, M. Ahmed and S. Firdaus, "Scalable RNN-Based Transfer Learning for Patient Sentiment Monitoring in Telehealth Platforms," 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS), Kushtia, Bangladesh, 2025, pp. 1-6, doi: 10.1109/COMPAS67506.2025.11381638. keywords: {Adaptation models;Sentiment analysis;Attention mechanisms;Reviews;Telemedicine;Computational modeling;Transfer learning;Medical services;Data models;Monitoring;Sentiment analysis;transfer learning;recurrent neural networks;BiLSTM;telehealth;patient feedback;attention mechanism;healthcare NLP;scalability;deep learning},