01
M. Fayaz, A. Ullah, S. Abbas, P. Khan, MN. Khan and RT. Chohan, “A Federated Learning-Based Hybrid Architecture for Multi-Class Attack Detection in UAVs Communications,” IEEE Open Journal of Communication Society (Major Revision).
02
M. Fayaz, S. Abbas, A. Alajmi, A. Ghandoura, and A. Nallanathan, “Hybrid Learning Framework for Throughput Enhancement in IoT Networks with Semi-Grant-Free NOMA” IEEE Transactions Cognitive Communications and Networking, (Minor Revision).
03
A. Alajmi, A. Ghandoura, A. Motwakel, and M. Fayaz, “Learning Meets Logic: Fuzzy Logic Based Deep Matching for Intelligent User Association in 6G IoT Networks,” IEEE Open Journal of Communication Society, Aug. 2025.
04
Muhammad Haqdad, Muhammad Fayaz, Pervez Khan, Farman Ali, Theyazan H.H Aldhyani, Ali Kashif Bashir and Daehan Kwak, “Intent-Based Networking with Deep Reinforcement Learning for Detecting Decrease Rank Attacks in Low-Power and Lossy IoT Networks” IEEE Internet of Things Journal, Jul. 2025.
05
S. Abbas, M. Fayaz, A. Ghandoura, M. Zahid Khan, and A. Rehman, “Secure Energy-efficient Semi Grant Free Non-Orthogonal Multiple Access Transmission for Consumer Internet of Things,” IEEE Transactions on Consumer Electronics, Dec. 2024.
06
M. Fayaz, W. Yi, Y. Liu, S Thayaparan and A. Nallanathan, “Toward Autonomous Power Control in Semi-Grant-Free NOMA Systems: A Power Pool-Based Approach,” IEEE Transactions on Communications, Jan. 2024.
07
A. Alajmi, W. Ahsan, M. Fayaz, and A. Nallanathan,, “Intelligent resource allocation in backscatter-NOMA networks: a soft actor critic framework,” IEEE Transactions on Vehicular Technology, 2023.
08