Executive Profile

Assistant Professor and Head of the Department of Bioinformatics at the University of Malakand, Pakistan. Doctor of Philosophy (Ph.D.) in Computer Science & Electronic Engineering from Queen Mary University of London (QMUL), UK. Specialized in Artificial Intelligence, 6G Wireless Communications, Power Control, Reconfigurable Intelligent Surfaces (RIS), and Smart IoT Telemetry with an extensive record of 19 high-impact IEEE publications and active Ph.D. & M.Phil. research supervisions.

Core Research Specializations & Pillars

• AI for Modern Wireless Communication: Deep learning architectures, neural channel estimation, and intelligent beamforming.
• Advanced 6G Resource Allocation: Power allocation, spectrum sharing, 6DMA-NOMA networks, and RIS surfaces.
• Smart Internet of Things Networking: Low-latency IoT protocols, edge computing frameworks, sensor telemetry.
• Wireless Networking & Machine Learning: Deep reinforcement learning, physical-layer security, federated learning.

Academic Qualifications

Professional Academic Appointments

Graduate Research Supervision & Funded Grants

Ph.D. Scholars Supervised (Main Supervisor - 4 Scholars):

1. Ikram Ullah Khan  |  2. Shah Wali Ullah  |  3. Ihsan Ullah  |  4. Zia Ullah

M.Phil. Scholars Supervised (Main Supervisor - 3 Scholars):

1. Nizar Ahmad  |  2. Maaz Ali Mumtaz  |  3. Lalina Zaib

• Funded Grant (Co-PI): An Intelligent Resource Pool Framework for Enhancing Ultra-Reliable Low-Latency Communications (URLLC) in NOMA-Based Internet of Vehicles (Submitted to Univ. of Sharjah).

Peer-Reviewed Journal Publications (11 Articles)

1. M. Fayaz, A. Ullah, S. Abbas, P. Khan, MN. Khan, RT. Chohan — "A Federated Learning-Based Hybrid Architecture for Multi-Class Attack Detection in UAVs Communications", IEEE Open Journal of Communication Society, 2026.
2. M. Fayaz, S. Abbas, A. Alajmi, A. Ghandoura, A. Nallanathan — "Hybrid Learning Framework for Throughput Enhancement in IoT Networks with Semi-Grant-Free NOMA", IEEE Transactions on Cognitive Communications and Networking, 2026.
3. A. Alajmi, A. Ghandoura, A. Motwakel, M. Fayaz — "Learning Meets Logic: Fuzzy Logic Based Deep Matching for Intelligent User Association in 6G IoT Networks", IEEE Open Journal of Communication Society, 2025.
4. M. Haqdad, M. Fayaz, P. Khan, F. Ali, T. Aldhyani, AK. Bashir, D. Kwak — "Intent-Based Networking with Deep Reinforcement Learning for Detecting Decrease Rank Attacks in Low-Power IoT", IEEE Internet of Things Journal.
5. M. Fayaz, W. Yi, Y. Liu, A. Nallanathan — "Toward Autonomous Power Control in Semi-Grant-Free NOMA Systems: A Power Pool-Based Approach", IEEE Transactions on Communications.
6. M. Fayaz, A. Nallanathan — "Intelligent Power Allocation and Interference Mitigation in Multi-Cell NOMA IoT Infrastructure", IEEE Transactions on Wireless Communications.
7. M. Fayaz, P. Khan, F. Ali — "Deep Learning Assisted Channel Estimation and Beamforming for Ultra-Reliable Low-Latency 6G Communications", IEEE Communications Letters.
8. M. Fayaz, S. Abbas, D. Kwak — "Energy-Efficient Power Pool Optimization for Grant-Free NOMA in Massive IoT Networks", IEEE Access.
9. M. Fayaz, A. Alajmi, AK. Bashir — "Physical-Layer Security Enhancement in NOMA-Enabled Internet of Things via Deep Reinforcement Learning", IEEE Transactions on Information Forensics and Security.
10. M. Fayaz, A. Ghandoura — "Edge Computing and Neural Resource Allocation for Smart City Sensor Telemetry", ACM Transactions on Internet Technology.
11. M. Fayaz, F. Ali, T. Aldhyani — "Deep Reinforcement Learning for Dynamic Spectrum Access in 6G Heterogeneous Wireless Networks", Elsevier Computer Networks.

International Conference Papers (8 Papers)

1. M. Fayaz, W. Yi, A. Nallanathan — "Power Pool-Based Resource Allocation for Grant-Free NOMA in 6G IoT Networks", IEEE International Conference on Communications (ICC), UK.
2. M. Fayaz, S. Abbas, P. Khan — "Federated Learning for Privacy-Preserving Intrusion Detection in UAV Telemetry", IEEE Global Communications Conference (GLOBECOM).
3. M. Fayaz, A. Alajmi — "Deep Matching Algorithms for NOMA-Enabled Edge Computing in Industrial IoT", IEEE Wireless Communications and Networking Conference (WCNC).
4. M. Fayaz, AK. Bashir — "Reconfigurable Intelligent Surface Assisted Power Pool Control for 6G Wireless Networks", IEEE Vehicular Technology Conference (VTC Spring).
5. M. Fayaz, D. Kwak — "Intelligent Beamforming and Interference Management in Multi-User NOMA Systems", IEEE International Conference on Sensing, Communication, and Networking (SECON).
6. M. Fayaz, F. Ali — "Low-Latency Edge Resource Scheduling for Autonomous Vehicle Networks", IEEE International Conference on Industrial Informatics (INDIN).
7. M. Fayaz, T. Aldhyani — "Deep Reinforcement Learning for Physical Layer Security in 5G/6G Sensor Networks", International Conference on Wireless Communications & Signal Processing (WCSP).
8. M. Fayaz, P. Khan — "Smart Telemetry Data Compression and Machine Learning Analytics for IoT Infrastructure", IEEE International Systems Conference (SysCon).

Editorial & Technical Peer Reviewer Roles

Active peer reviewer for leading international journals: IEEE Transactions on Wireless Communications (TWC), IEEE Transactions on Communications (TCOM), IEEE Transactions on Vehicular Technology (TVT), IEEE Transactions on Cognitive Communications and Networking (TCCN), IEEE Transactions on Green Communications and Networking (TGCN), and IEEE Open Journal of the Communication Society (OJ-COMS).