Dr. Dinh Nguyen Assistant Professor, ECE Contact 301 Sparkman DriveEngineering BuildingRoom 217 IHuntsville, AL 35899 Campus Map 256.824.6258dcn0006@uah.edu Biography Dinh C. Nguyen is an assistant professor at the Department of Electrical and Computer Engineering, The University of Alabama in Huntsville, USA. He worked as a postdoctoral research associate at Purdue University, USA from 2022 to 2023. He obtained the Ph.D. degree in computer science from Deakin University, Australia in 2021. His current research interests include federated machine learning, Internet of Things, wireless networking, and security. He has published over 50 papers (including over 25 first-authored papers) on top-tier IEEE/ACM conferences and journals such as IEEE Journal on Selected Areas in Communications, IEEE Communications Surveys and Tutorials, IEEE Transactions on Mobile Computing, and IEEE Wireless Communications Magazine. He is an Associate Editor of the IEEE Internet of Things Journal, IEEE Open Journal of the Communications Society, and a Lead Guest Editor of IEEE Internet of Things Magazine on the special issue of federated learning for Industrial Internet of Things. He is a technical program chair of the 6G connectivity workshop at the IEEE Wireless Communications and Networking Conference (WCNC) 2024 conference. He received the Best Editor Award from IEEE Open Journal of Communications Society in 2023. Personal Website Education Ph.D., Computer Science, Deakin University, Australia, 2022 B.E., Electrical Engineering, Ho Chi Minh City University of Technology, Vietnam, 2015 Honors & Awards Best Editor Award from IEEE Open Journal of Communications Society in 2023 Recent Publications Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Jun Li, and H. Vincent Poor, “Federated Learning for Internet of Things: A Comprehensive Survey”, IEEE Communications Surveys and Tutorials, pp.1-38, Apr. 2021 Dinh C. Nguyen, S. Hosseinalipour, D. J. Love, Pubudu N. Pathirana, C. G. Brinton, “Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing,” IEEE Journal on Selected Areas in Communications, Jun. 2022. Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Jun Li, and H. Vincent Poor, “Cooperative Task Offloading and Block Mining in Blockchain-based Edge Computing: A Multi-agent Deep Reinforcement Learning Approach”, IEEE Transactions on Mobile Computing, Apr. 2022. 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 Industry 4.0”, IEEE Wireless Communications Magazine, Dec. 2021. 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, vol. 17, pp. 2536-2549, Aug. 2020.
