Nguyen, Van-Dinh and Vu, Thang X. and Nguyen, Nhan Thanh and Nguyen, Dinh C. and Juntti, Markku and Luong, Nguyen Cong and Hoang, Dinh Thai and Nguyen, Diep N. and Chatzinotas, Symeon, "Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework," IEEE Journal on Selected Areas in Communications, Vol. 1, No. 1, November 2023, pp. 1-16. doi: 10.1109/JSAC.2023.3336183.
Zhang, Shiying and Li, Jun and Shi, Long and Ding, Ming and Nguyen, Dinh C. and Tan, Wuzheng and Weng, Jian and Han, Zhu, "Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems," IEEE Transactions on Intelligent Transportation Systems, Vol. 2, No. 12, November 2023, pp. 1-16. doi: 10.1109/TITS.2023.3324962.
Pubudu. L. Indrasiri, Dinh C. Nguyen, B. Kashyap, Pathirana . N. Pathirana and Yonina. C. Eldar, "FedXPro: Bayesian Inference for Mitigating Poisoning Attacks in IoT Federated Learning," IEEE Internet of Things Journal, Vol. 3, No. 5, November 2023, pp. 1-16. doi: 10.1109/JIOT.2023.3334298.
Quy, Vu Khanh, Nguyen Tien Ban, Dang Van Anh, Nguyen Minh Quy, and Dinh C. Nguyen, "An Adaptive Gateway Selection Mechanism for MANET-IoT Applications in 5G Networks," IEEE Sensors Journal, Vol. 23, No. 19, November 2023, pp. 23704-23712. doi: 10.1109/JSEN.2023.3307617
Dinh C. Nguyen, S. Hosseinalipour, D. J. Love, P. N. Pathirana, C. G. Brinton, "Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing," IEEE Journal on Selected Areas in Communications, 06/2022, Accepted.
Dinh C. Nguyen, Van-Dinh Nguyen, Ming Ding, Symeon Chatzinotas, Pubudu N. Pathirana, Aruna Seneviratne, Octavia Dobre, and Albert Y. Zomaya. "Intelligent Blockchain-based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges," IEEE Network Magazine, 06/2022, Accepted.
Thang Ngo, Dinh C. Nguyen, Pubudu N. Pathirana, Louise A. Corben, Martin B. Delatycki, Malcolm Horne, David J. Szmulewicz, and Melissa Roberts, "Federated Deep Learning for the Diagnosis of Cerebellar Ataxia: Privacy Preservation and Auto-crafted Feature Extractor" IEEE Transactions on Neural Systems & Rehabilitation Engineering, 03/2022, Accepted.
Q.-V. Pham, R. Ruby, F. Fang, Dinh C. Nguyen, Z. Yang, M. Le, Z. Ding, and W.-J. Hwang, “Aerial Computing: A New Computing Paradigm, Applications, and Challenges,” IEEE Internet of Things Journal, 03/2022, Accepted.
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Albert Y Zomaya, "Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing", IEEE Internet of Things Journal, 11/2021, Accepted [Python Code]
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, and H. Vincent Poor, "Cooperative Task Offloading and Block Mining in Blockchain-based Edge Computing with Multi-agent Deep Reinforcement Learning", IEEE Transactions on Mobile Computing, 10/2021, Accepted.
Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang, "Federated Learning for Smart Healthcare: A Survey," ACM Computing Surveys, 10/2021, Accepted.
Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, “Secure Computation Offloading in Blockchain based IoT Networks with Deep Reinforcement Learning”, IEEE Transactions on Network Science and Engineering, 09/2021, Accepted.
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, Octavia Dobre, and H. Vincent Poor, "6G Internet of Things: A Comprehensive Survey", IEEE Internet of Things Journal, 08/2021, Accepted. [Top popular article, 2021]
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, and H. Vincent Poor, "Federated Learning for Industrial Internet of Things in Future Industries", IEEE Wireless Communications Magazine, 06/2021, Accepted.
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, and H. Vincent Poor, "Federated Learning for Internet of Things: A Comprehensive Survey", IEEE Communications Surveys & Tutorials, 04/2021, Accepted. [Top popular article, 2021]
Dinh C. Nguyen, Ming Ding, Q.-V. Pham, Pubudu N. Pathirana, L. B. Le, Aruna Seneviratne, Jun Li, Dusit Niyato, and H. Vincent Poor, "Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges," IEEE Internet of Things Journal, 04/2021, Accepted. [Top popular article, 2021]
Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, “BEdgeHealth: A Decentralized Architecture for Edge-based IoMT Networks Using Blockchain”, IEEE Internet of Things Journal, 02/2021, Accepted.
Dinh C. Nguyen, Peng Cheng, Ming Ding, David Lopez-Perez, Pubudu N. Pathirana, Jun Li, Aruna Seneviratne, Yonghui Li, and H. Vincent Poor, "Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective", IEEE Communications Surveys & Tutorials, 09/2020, Accepted. [link]
Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, and Aruna Seneviratne, “Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges”, IEEE Communications Surveys & Tutorials, 08/2020, Accepted. [link]
Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, and Aruna Seneviratne, “Privacy-Preserved Task Offloading in Mobile Blockchain with Deep Reinforcement Learning”, IEEE Transactions on Network and Service Management, 08/2020, Accepted. [Top popular article, 2021] [link]
Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, and Aruna Seneviratne, "Blockchain for 5G and Beyond Networks: A State of the Art Survey", Journal of Network and Computer Applications, 05/2020, Accepted. [Web of Science ESI Highly Cited Paper]
Dinh C. Nguyen, Pathirana PN, Ming Ding, and Seneviratne Aruna "Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems", IEEE Access, vol. 7, pp. 66792 - 66806, 05/2019. [link] [Web of Science ESI Highly Cited Paper]
