Research Interests
Communications and Networks: Mobile edge computing, wireless networks, IoT and Metaverse
Quantum Technologies: quantum machine learning and quantum networking
Applications of Machine Learning: Reinforcement learning, deep reinforcement learning, federated learning, and generative AI
Security: Physical layer security, cyberattack detection, and adversarial machine learning
Google Scholar Citations: 2500+, h-index: 22, i10-index: 30
"Jamming Signal Resistant Method and System, " D. T. Hoang, D. N. Nguyen, N. V. Huynh, and E. Dutkiewicz, Provisional Patent Filed, Feb 2019.
D. T. Hoang, N. V. Huynh, D. N. Nguyen, E. Hossain and D. Niyato, Deep Reinforcement Learning for Wireless Communications and Networking: Theory, Applications and Implementation, Wiley, 2023. Order
D. T. Hoang, D. Niyato, D. I. Kim, N. V. Huynh, and S. Gong, Ambient Backscatter Communication Networks, Cambridge University Press, 2019. Order
N. V. Huynh, T. Huynh-The, and Q.-V. Pham, "Future AI-empowered Communications Systems", Chapter in Generative AI for Communications Systems: Fundamentals, Applications, and Prospects, Wiley, expected the first quarter of 2025.
Y. Yigit, K. Duran, N. Moradpoor, L. Maglaras, N. V. Huynh, and B. Canberk, "Machine Learning for Smart Healthcare Management Using IoT", Chapter in IoT and ML for Information Management: A Smart Healthcare Perspective, Springer 2024
N. V. Huynh, D. N. Nguyen, L. Mucchi, S. Caputo, D. Marabissi, M. Piccardi, D. T. Hoang, and E. Dutkiewicz, "Facing Eavesdroppers in 6G Networks with Novel User Association and Resource Allocation Framework", IEEE Transactions on Wireless Communications, under review.
B. M. Tuan, V.-D. Nguyen, D. N. Nguyen, N. L. Trung, N. V. Huynh, D. T. Hoang, M. Krunz, and E. Dutkiewicz, "Deep Learning-Driven Friendly Jamming for Secure Multicarrier ISAC Under Channel Uncertainty," IEEE Transactions on Communications, under review.
Y. K. Tun, N. N. Ei, S. S. Hassan, C. Stefanovic, N. V. Huynh, M. Alsenwi, C. S. Hong, "Joint Beamforming and Trajectory Optimization for Multi-UAV-Assisted Integrated Sensing and Communication Systems", IEEE Transactions on Vehicular Technology, under review.
M. Alsenwi, E. Lagunas, J. Querol, D.-H. Tran, N. V. Huynh, and S. Chatzinotas, "Federated Learning-Driven Multi-Connectivity and Resource Management Framework for LEO Constellation Networks", IEEE Transactions on Cognitive Communications and Networking, under review.
N. V. Huynh, B. Zhang, D.-H. Tran, D. T. Hoang, D. N. Nguyen, G. Zheng, D. Niyato, and Q.-V. Pham, “Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning,” IEEE Transactions on Mobile Computing, under review.
D.-H. Tran, N. V. Huynh, M. Alsenwi, V. N. Vo, E. Lagunas, and S. Chatzinotas, "Deep Reinforcement Learning for Network Energy Saving in 6G and Beyond Networks," IEEE Transactions on Communications, under review.
N. Q. Vinh, V.-H. Dang, H. Tran, D.-H. Tran, S. Chatzinotas, N. V. Huynh, C. S.-In, and V. N. Vo, "Particle Filter for Localization and Optimization in Rate-Splitting Multiple Access-Based 6G Aerial Networks", IEEE Transactions on Cognitive Communications and Networking, under review.
M. A. Hassan, B. D. Manh, C. T. Nguyen, C.-H. Nguyen, D. T. Hoang, D. N. Nguyen, N. V. Huynh, and D. Niyato, "SBW 3.0: A Blockchain-Enabled Framework for Secure and Efficient Information Management in Web 3.0", IEEE Transactions on Network and Service Management, under review.
S. Kaada, D.-H. Tran, N. V. Huynh, M.-L. A. Morel, S. Jelassi, and G. Rubino, "Multi-Agent Deep Reinforcement Learning for Resilience Optimization in Future RAN", IEEE Internet of Things Journal, under review.
G. Liu, N. V. Huynh, H. Du, D. T. Hoang, D. Niyato, K. Zhu, J. Kang, Z. Xiong, A. Jamalipour, and D. I. Kim, "Generative AI for Unmanned Vehicle Swarms: Challenges, Applications, and Opportunities", Proceedings of the IEEE, under review.
D.-H. Tran, N. Waheed, Y. M. Saputra, X. Lin, C. T. Nguyen, T. S. Abdu, V. N. Vo, V.-Q. Pham, M. Alsenwi, A. B. M. Adam, S. Chatzinotas, E. Lagaunas, H. Tran, T. H. Dac, N. V. Huynh, "Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems," IEEE Open Journal of the Communications Society, accepted 2025.
Z. Ji, J. Zhang, K. L. Man, S. Guan, and N. V. Huynh, "Fair Data Trading on Blockchain Through Verifiable Proxy Re-Encryption", IEEE Transactions on Computational Social Systems, accepted 2025.
M. A. Hassan, M. Jamshidi, B. D. Manh, N. H. Chu, C.-H. Nguyen, N. Q. Hieu, C. T. Nguyen, D. T. Hoang, D. N. Nguyen, N. V. Huynh, M. A. Alsheikh, and E. Dutkiewicz, "Enabling Technologies for Web 3.0: A Comprehensive Survey", Computer Networks, accepted 2025.
B. M. Tuan, D. N. Nguyen, N. L. Trung, V.-D. Nguyen, N. V. Huynh, D. T. Hoang, M. Krunz, and E. Dutkiewicz, "Securing MIMO Wiretap Channel with Learning-Based Friendly Jamming under Imperfect CSI", IEEE Internet of Things Journal, accepted 2025.
B. Zhang, G. Zheng, and N. V. Huynh, "A Hybrid Quantum-Classical Autoencoder Framework for End-to-End Communication Systems", IEEE Wireless Communications Letters, accepted 2024.
B. Zhang, N. V. Huynh, D. T. Hoang, D. N. Nguyen, and Q.-V. Pham, "DDPG-E2E: A Novel Policy Gradient Approach for End-to-End Communication Systems," IEEE Transactions on Cognitive Communications and Networking, accepted 2024.
T.-H. Vu, S. K. Jagatheesaperumal, M.-D. Nguyen, N. V. Huynh, S. Kim, and Q.-V. Pham, “Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey,” IEEE Internet of Things Journal, accepted 2024.
C. T. Nguyen, Y. M. Saputra, N. V. Huynh, T. N. Nguyen, D. T. Hoang, D. N. Nguyen, V.-Q. Pham, M. Voznak, S. Chatzinotas, and D.-H. Tran, "Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications,'' IEEE Open Journal of the Communications Society, accepted June 2024.
N. H. Chu, N. V. Huynh, D. N. Nguyen, D. T. Hoang, S. Gong, T. Shu, E. Dutkiewicz, and K. T. Phan, "Countering Eavesdroppers with Meta-learning-based Cooperative Ambient Backscatter Communications," IEEE Transactions on Wireless Communications, accepted May 2024.
N. V. Huynh, J. Wang, H. Du, D. T. Hoang, D. Niyato, D. N. Nguyen, D. I. Kim, and K. B. Letaief, "Generative AI for Physical Layer Communications: A Survey", IEEE Transactions on Cognitive Communications and Networking, accepted Mar. 2024. Popular Article of IEEE TCCN
K. Xu, N. V. Huynh, and G. Y. Li, "Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet", IEEE Transactions on Communications, accepted Jul. 2023.
N. V. Huynh and G. Y. Li, "Transfer Learning for Signal Detection in Wireless Networks", IEEE Wireless Communications Letters, vol. 11, no. 11, pp. 2325-2329, Nov. 2022.
N. V. Huynh, D. N. Nguyen, D. T. Hoang, T. X. Vu, E. Dutkiewicz, and S. Chatzinotas, "Defeating Super-Reactive Jammers With Deception Strategy: Modeling, Signal Detection, and Performance Analysis", IEEE Transactions on Wireless Communications, vol. 21, no. 9, pp. 7374-7390, Sept. 2022.
N. V. Huynh, D. T. Hoang, D. N. Nguyen, and E. Dutkiewicz, "Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks", IEEE Journal on Selected Areas in Communications, vol. 40, no. 2, pp. 484-498, Feb. 2022.
N. V. Huynh, D. N. Nguyen, D. T. Hoang, and E. Dutkiewicz, "Optimal Beam Association for High Mobility mmWave Vehicular Networks: Lightweight Parallel Reinforcement Learning Approach", IEEE Transactions on Communications, vol. 69, no. 9, pp. 5948-5961, Sept. 2021 (IF=5.69)
N. V. Huynh, D. T. Hoang, D. N. Nguyen, and E. Dutkiewicz, "DeepFake: Deep Dueling-based Deception Strategy to Defeat Reactive Jammers", IEEE Transactions on Wireless Communications, vol. 20, no. 10, pp. 6898-6914, Oct. 2021 (IF=6.779)
N. V. Huynh, Diep. N. Nguyen, D. T. Hoang, E. Dutkiewicz, and M. Mueck, "Ambient Backscatter: A Novel Method to Defend Jamming Attacks for Wireless Networks", IEEE Wireless Communications Letters, vol. 9, no. 2, pp. 175-178, Feb. 2020 (IF=3.546)
N. V. Huynh, D. N. Nguyen, D. T. Hoang, and E. Dutkiewicz, "Jam Me If You Can: Defeating Jammer with Deep Dueling Neural Network Architecture and Ambient Backscattering Augmented Communications", IEEE Journal on Selected Areas in Communications - Special Issue on Machine Learning in Wireless Communications, vol. 37, no. 11, pp. 2603-2620, Nov. 2019. (IF=9.302)
N. V. Huynh, D. T. Hoang, D. N. Nguyen, E. Dutkiewicz, D. Niyato, and P. Wang, "Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System with Online Reinforcement Learning ", IEEE Transactions on Communications, vol. 67, no. 8, pp. 5736-5752, Aug. 2019. (IF=5.69)
N. V. Huynh, D. T. Hoang, D. Nguyen, and E. Dutkiewicz, "Optimal and fast real-time resource slicing with deep dueling neural networks", IEEE Journal on Selected Areas in Communications- Special Issue on Artificial Intelligence and Machine Learning for Networking and Communications, vol. 37, no. 6, pp. 1455-1470, Jun. 2019. (IF=9.302)
N. V. Huynh, D. T. Hoang, D. Niyato, P. Wang, and D. I. Kim, ''Optimal Time Scheduling for Wireless-Powered Backscatter Communication Networks,'' IEEE Wireless Communications Letters, vol. 7, no. 5, pp. 820-823, Oct. 2018 . (IF=3.546)
N. V. Huynh, D. T. Hoang, X. Lu, D. Niyato, P. Wang, and D. I. Kim, ''Ambient Backscatter Communications: A Contemporary Survey," IEEE Communications Surveys and Tutorials, vol. 20, no. 4, pp. 2889-2922, Fourthquarter 2018 . (IF=22.973) (ESI Highly Cited Paper)
C. T. Nguyen, N. V. Huynh, N. H. Chu, Y. M. Saputra, D. T. Hoang, D. N. Nguyen, Q. V. Pham, D. Niyato, E. Dutkiewicz, and W. J. Hwang, "Transfer Learning for Future Wireless Networks: A Comprehensive Survey", Proceedings of the IEEE, vol. 110, no. 8, pp. 1073-1115, Aug. 2022.
N. H. Chu, D. T. Hoang, D. N. Nguyen, N. V. Huynh, and E. Dutkiewicz, "Joint Speed Control and Energy Replenishment Optimization for UAV-assisted IoT Data Collection with Deep Reinforcement Transfer Learning", IEEE Internet of Things Journal, accepted, 2022.
N.-T. Nguyen, D. N. Nguyen, D. T. Hoang, N. V. Huynh, E. Dutkiewicz, N.-H. Nguyen, and Q.-T. Nguyen, "Time Scheduling and Energy Trading for Heterogeneous Wireless-Powered and Backscattering-based IoT Networks ", IEEE Transactions on Wireless Communications, vol. 20, no. 10, pp. 6835-6851, Oct. 2021 (IF=6.779)
C. T. Nguyen, Y. M. Saputra, N. V. Huynh, N.-T. Nguyen, T. V. Khoa, B. M. Tuan, D. N. Nguyen, D. T. Hoang, T. X. Vu, E. Dutkiewicz, S. Chatzinotas, and B. Ottersten, "A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing — Part I: Fundamentals and Enabling Technologies", IEEE Access, vol. 8, pp. 153479-153507, Aug. 2020 (IF=3.745)
C. T. Nguyen, Y. M. Saputra, N. V. Huynh, N.-T. Nguyen, T. V. Khoa, B. M. Tuan, D. N. Nguyen, D. T. Hoang, T. X. Vu, E. Dutkiewicz, S. Chatzinotas, and B. Ottersten, "A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing — Part II: Emerging Technologies and Open Issues", IEEE Access, vol. 8, pp. 154209-154236, Aug. 2020 (IF=3.745)
T. M. Nam, N. H. Thanh, H. T. Hieu, N. T. Manh, N. V. Huynh, and T. Hoang, "Joint Network Embedding and Server Consolidation for Energy - Efficient Dynamic Data Center Virtualization," Elsevier's Journal of Computer Networks, Special Issue on Sofwarization and Caching in NGN, vol. 125, pp. 76-89, Oct. 2017. (IF=3.030)
N. H. Thanh, V. A. Vu, N. D. Lam, N. V. Huynh, T. M. Nam, N. Q. Thu, T.-H. Truong, N. T. Hung, and T. Magedanz, "A Generalized Resource Allocation Framework in Support of Multi-Layer Virtual Network Embedding based on SDN," Elsevier's Journal of Computer Networks, Special Issue on Network Virtualization and Software Defined Networking, vol. 92, Part 2, pp. 251-269, Dec. 2015. (IF=3.030)
B. M. Tuan, D. N. Nguyen, N. L. Trung, D. Nguyen, N. V. Huynh, D. T. Hoang, M. Krunz, and E. Dutkiewicz, "Securing MIMO Wiretap Channel With DDPG-Based Friendly Jamming Under Non-Differentiable Channel", IEEE ICC 2025 Workshop, Montreal, Canada, 8-12 June 2025.
N. V. Huynh, D. N. Nguyen, L. Mucchi, S. Caputo, M. Piccardi, D. T. Hoang, and E. Dutkiewicz, "Defeating Eavesdropping Attacks with Inter-Cell Interference and Deep Reinforcement Learning", IEEE WCNC, Milan, Italy, March 2025.
D.-H. Tran, N. V. Huynh, S. Kaada, V. N. Vo, E. Lagunas, and S. Chatzinotas, "Network Energy Saving for 6G and Beyond: A Deep Reinforcement Learning Approach", IEEE WCNC, Milan, Italy, March 2025.
K. Algabami, N. V. Huynh, and G. Y. Li, "A Universal Deep Neural Network for Signal Detection in Wireless Communication Systems", IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) 2024, accepted.
B. Zhang and N. V. Huynh, "Deep Deterministic Policy Gradient for End-to-End Communication Systems without Prior Channel Knowledge," IEEE GLOBECOM 2023, accepted.
N. V. Huynh, N. Q. Hieu, N. H. Chu, D. N. Nguyen, D. T. Hoang, and E. Dutkiewicz, "Defeating Eavesdroppers with Ambient Backscatter Communications, " WCNC 2023, accepted.
N. V. Huynh, D. T. Hoang, D. N. Nguyen, and E. Dutkiewicz, "Dynamic optimal coding and scheduling for distributed learning over wireless edge networks" IEEE GLOBECOM 2021, Madrid, Spain, Dec. 2021.
N. V. Huynh, D. N. Nguyen, D. T. Hoang, and E. Dutkiewicz, "Defeating Reactive Jammers with Deep Dueling-based Deception Mechanism", IEEE ICC, Montreal, Canada, 14-18 June 2021.
N. V. Huynh, D. N. Nguyen, D. T. Hoang, and E. Dutkiewicz, "Optimal Beam Association in mmWave Vehicular Networks with Parallel Reinforcement Learning", IEEE GLOBECOM, Taipei, Taiwan, 7 - 11 December 2020.
N. V. Huynh, D. T. Hoang, D. N. Nguyen, E. Dutkiewicz, and M. Mueck, "'Defeating Smart and Reactive Jammers with Unlimited Power ", IEEE WCNC, Seoul, South Korea, 2020.
N. V. Huynh, D. N. Nguyen, D. T. Hoang, E. Dutkiewicz, M. Mueck, and S. Srikanteswara, "Defeating Jamming Attacks with Ambient Backscatter Communications", IEEE ICNC, Big Island, Hawaii, USA, 2020.
N. V. Huynh, D. T. Hoang, D. N. Nguyen, and E. Dutkiewicz, "Real-time network slicing with uncertain demand: A deep learning approach", IEEE ICC, Shanghai, China, 2019.
N. V. Huynh, D. T. Hoang, D. N. Nguyen, E. Dutkiewicz, D. Niyato, and P. Wang, ''Reinforcement Learning Approach for RF-Powered Cognitive Radio Network with Ambient Backscatter'', IEEE GLOBECOM, Abu Dhabi, UAE, 9-13 December 2018.
N. H. Chu, D. T. Hoang, D. N. Nguyen, N. V. Huynh, and E. Dutkiewicz, "Fast or slow: An autonomous speed control approach for UAV-assisted IoT data collection networks," IEEE WCNC, Nanjing, China, 29 Mar - 1 Apr 2021.
N. T. Nguyen, D. N. Nguyen, D. T. Hoang, N. V. Huynh, N. H. Nguyen, Q. T. Nguyen, and E. Dutkiewicz, "Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks", IEEE GLOBECOM, Taipei, Taiwan, 7 - 11 December, 2020.
N. T. Nguyen, N. V. Huynh, D. T. Hoang, D. N. Nguyen, N. H. Nguyen, Q. T. Nguyen, and E. Dutkiewicz, "Energy management and time scheduling for heterogeneous IoT wireless-powered backscatter networks", IEEE ICC, Shanghai, China, 2019.
T. T. Vu, N. V. Huynh, D. T. Hoang, D. N. Nguyen, and E. Dutkiewicz , ''Offloading Energy Efficiency with Delay Constraint for Cooperative Mobile Edge Computing Networks'', IEEE GLOBECOM, Abu Dhabi, UAE, 9-13 December 2018.
M. Usman, N. V. Huynh, A. C. Risdianto, J. Han, and J. Kim, "Physical-Virtual Topological Visualization of OF@TEIN SDN-enabled Multi-site Cloud," The 31st International Conference on Information Networking (ICOIN), January 2017, Da Nang , Vietnam.
T. M. Nam, N. V. Huynh, and N. H. Thanh, "Reducing Middle Nodes Mapping Algorithm for Energy Efficiency in Network Virtualization," in Advances in Intelligent Systems and Computing, vol 538, Springer.
T.M. Nam, N. V. Huynh, L. Q. Dai, and N. H. Thanh, "An Energy-Aware Embedding Algorithm for Virtual Data Centers," the 28th International Teletraffic Congress (ITC), 12nd - 16th September 2016, Wurzburg, Germany.
T. M. Nam, N. H. Thanh, N. H. Van, K. B. Long, N. D. Lam, N. V. Huynh, and N. V. Ca, "Constructing Energy-Aware Software- Defined Network Virtualization," (Best student paper award), Proceedings of Asia-Pacific Advanced Network Research Workshop (APAN-NRW), August 10th - 14th 2015, Kuala Lumpur, Malaysia.