S. S. Hassan, L. U. Tun, Y. M. Park, M. Guizani, Z. Han, T. Ratnarajah, and C. S. Hong, Quantum Machine Learning for 6G Space-Air-Ground Integrated Networks: A Comprehensive Tutorial and Survey, IEEE Communications Surveys & Tutorials, Sep. 2025.
S. S. Hassan, Y. M. Park, Y. K. Tun, Z. Han, C. S. Hong, and T. Ratnarajah, Enhancing Remote User Network Experience through Coordinated UAV-Mounted Active and Passive RIS, TechRxiv and submitted to IEEE Transactions on Network Service and Management, Jun. 2025.
L. X. Nguyen, S. S. Hassan, Y. K. Tun, K. Kim, Z. Han, and C. S. Hong, Semantic Communication Enabled 6G-NTN Framework: A Novel Denoising and Gateway Hop Integration Mechanism, IEEE Transactions on Wireless Communications, Jun. 2025
Y. M. Park, S. S. Hassan, Y. K. Tun, E. N. Huh, W. Saad, and C. S. Hong, "Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approach," IEEE Transactions on Mobile Computing, Mar. 2025.
S. S. Hassan, L. X. Nguyen, Z. Han, C. S. Hong, and T. Ratnarajah, "Enabling Continuous Earth Observation through 6G NTN: Multi-Source Semantic Communication and Denoising," TechRxiv, Jan. 2025.
S. S. Hassan, Y. M. Park, Y. K. Tun, W. Saad, Z. Han, and C. S. Hong, "Enhancing Spectrum Efficiency in 6G Satellite Networks: A GAIL-Powered Policy Learning via Asynchronous Federated Inverse Reinforcement Learning", arXiv and submitted to IEEE Transactions on Mobile Computing, Sep. 2024.
S. S. Hassan, Y. M. Park, L. X. Nguyen, Y. K. Tun, Z. Han, and C. S. Hong, "Optimizing Connectivity for Remote Users with RIS-Enabled UAVs: A Game-Theoretic and Whale Optimization Synergy," TechRxiv, Sep. 2024.
L. X. Nguyen, K. Kim, Y. L. Tun, S. S. Hassan, Y. K. Tun, and C. S. Hong, "Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge Distillation," IEEE Communications Letters, Jun. 2024. (Top 50 Most Popular Articles of IEEE COMML)
S. S. Hassan, Y. M. Park, Y. K. Tun, W. Saad, Z. Han, and C. S. Hong, "SpaceRIS: LEO Satellite Coverage Maximization in 6G Sub-THz Networks by MAPPO DRL and Whale Optimization", IEEE Journal on Selected Areas in Communications, Feb. 2024. (Top 50 Most Popular Articles of IEEE JSAC)
U. Majeed, S. S. Hassan, Z. Han, and C. S. Hong, “DAO-FL: Enabling Decentralized Input and Output Verification in Federated Learning with Decentralized Autonomous Organizations”, TechRxiv, Nov. 2023.
L. Zou, M. S. Munir, S. S. Hassan, Y. K. Tun, L. X. Nguyen, and C. S. Hong, “Imbalance Cost-Aware Energy Scheduling for Prosumers Towards eVTOL Charging: A Matching and Multi agent DRL Approach”, IEEE Transactions on Vehicular Technology, Oct. 2023.
Y. M. Park, S. S. Hassan, Y. K. Tun, Z. Han, and C. S. Hong, "Joint Trajectory and Resource Optimization of MEC-Assisted UAVs in Sub-THz Networks: A Resources-Based Multi-Agent Proximal Policy Optimization DRL With Attention Mechanism", IEEE Transactions on Vehicular Technology, Sep. 2023.
S. S. Hassan, Y. M. Park, Y. K. Tun, W. Saad, Z. Han, and C. S. Hong, "Satellite-based ITS data offloading \& computation in 6G networks: A cooperative multi-agent proximal policy optimization DRL with attention approach", IEEE Transactions on Mobile Computing, Aug. 2023. (Top 50 Most Popular Articles of IEEE TMC)
L. Zou, M. S. Munir, Y. K. Tun, S. S. Hassan, P. S. Aung, and C. S. Hong, "When Hierarchical Federated Learning Meets Stochastic Game: Toward an Intelligent UAV Charging in Urban Prosumers," IEEE Internet of Things Journal, Jun. 2023.
U. Majeed, L. U. Khan, S. S. Hassan, Z. Han, and C. S. Hong, "FL-Incentivizer: FL-NFT and FL-Tokens for Federated Learning Model Trading and Training", IEEE Access, Jan. 2023.
S. S. Hassan, D. H. Kim, Y. K. Tun, N. H. Tran, W. Saad, and C. S. Hong, "Seamless and Energy-Efficient Maritime Coverage in Coordinated 6G Space–Air–Sea Non-Terrestrial Networks", IEEE Internet of Things Journal, Nov. 2022.