A Study of Permission-based Malware Detection Using Machine Learning. - Ratun Rahman; Md. Rafid Islam; Akib Ahmed; Md. Kamrul Hasan 006; Hasan Mahmud (SIN, 2022)

NFS: A Hand Gesture Recognition Based Game Using MediaPipe and PyGame. - Md. Rafid Islam; Ratun Rahman; Akib Ahmed; Rafsan Jany (CoRR, 2022)

VREd: A Virtual Reality-Based Classroom for Online Education Using Unity3D WebGL. - Ratun Rahman; Md. Rafid Islam (CoRR, 2023)

Best Practices for Facing the Security Challenges of Internet of Things Devices Focusing on Software Development Life Cycle. - Md. Rafid Islam; Ratun Rahman (CoRR, 2024)

Improved Modulation Recognition Using Personalized Federated Learning. - Ratun Rahman; Dinh C. Nguyen (IEEE Trans. Veh. Technol., 2024)

Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach. - Ratun Rahman; Neeraj Kumar; Dinh C. Nguyen (CCNC, 2025)

False Data Injection Attack Detection in Edge-Based Smart Metering Networks with Federated Learning. - Md Raihan Uddin; Ratun Rahman; Dinh C. Nguyen (CCNC, 2025)

Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach. - Atit Pokharel; Ratun Rahman; Thomas Morris; Dinh C. Nguyen (CVPR Workshops, 2025)

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise. - Ratun Rahman; Atit Pokharel; Dinh C. Nguyen (CVPR Workshops, 2025)

Multimodal Federated Learning for Air Quality Estimation With Model Personalization Over Aerial-Ground Networks. - Ratun Rahman; Falguni Patadia; Jinhui Wang; Dinh C. Nguyen (IEEE Geosci. Remote. Sens. Lett., 2025)

Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning. - Ratun Rahman; Pablo Moriano; Samee U. Khan; Dinh C. Nguyen (CoRR, 2025)

Brain Tumor Detection in MRI Based on Federated Learning with YOLOv11. - Sheikh Moonwara Anjum Monisha; Ratun Rahman (CoRR, 2025)