Publications

Jump to: Books | Book chapters | 2026 and early access | 2025 | 2024 | 2023 and before | Theses

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Books

  1. C. de Alwis, Q.-V. Pham, and M. Liyanage, 6G Frontiers: Towards Future Wireless Systems, Wiley-IEEE Press, Oct. 2022.

Book Chapters

  1. N. V. Huynh, T. Huynh-The, and Q.-V. Pham, “Future AI-empowered Communications Systems,” in Generative AI for Communications Systems: Fundamentals, Applications, and Prospects, Wiley-IEEE Press, Jan. 2026.

  2. P. Hegde, R. Chengoden, N. Victor, T. Huynh-The, S. Bhattacharya, P. K. R. Maddikunta, T. R. Gadekallu, and Q.-V. Pham, “Blockchain for the Metaverse: State-of-the-Art and Applications,” in Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches, Wiley-IEEE Press, 2023.

  3. T. Huynh-The, Q.-V. Pham, X.-Q. Pham, T. Do-Duy, and T. R. Gadekallu, “AI and Computer Vision Technologies for Metaverse,” in Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches, Wiley-IEEE Press, 2023.

  4. Q.-V. Pham, T. Huynh-The, M. Zeng, Z. Yang, Z. Ding, and W.-J. Hwang, “The Emergence of Aerial Computing: Applications and Challenges,” in 6G Wireless: The Communication Paradigm Beyond 2030, CRC Press, 2023.

  5. M. Zeng, E. Bedeer, X. Li, Q.-V. Pham, O. A. Dobre, P. Fortier, and L. A. Rusch, “IRS-Empowered Wireless Communications: State-of-the-Art, Key Techniques, and Open Issues,” in 6G Wireless: The Communication Paradigm Beyond 2030, CRC Press, 2023.

  6. Z. Yang, Q.-V. Pham, C. Huang, Q. Yang, T. Guo, Y. Xu, and Z. Zhang, “Machine Learning for UAV Communication-Assisted Computing Networks,” in Secure and Digitalized Future Mobility: Shaping the Ground and Air Vehicles Cooperation, CRC Press, 2022.

  7. Q.-V. Pham, D. C. Nguyen, T. Huynh-The, W.-J. Hwang, and P. N. Pathirana, “Artificial Intelligence and Big Data for COVID-19 and Social Distancing,” in Enabling Technologies for Social Distancing: Fundamentals, concepts and solutions, IET Digital Library, 2022.

  8. D. C. Nguyen, Q.-V. Pham, M. Ding, P. N. Pathirana, and A. Seneviratne, “Security and Privacy and Blockchain Applications in COVID-19 Detection and Social Distancing,” in Enabling Technologies for Social Distancing: Fundamentals, concepts and solutions, IET Digital Library, 2022.

  9. N.-N. Dao, N.-T. Dinh, Q.-V. Pham, T. V. Phan, S. Cho, and T. Braun, “Vulnerabilities in Fog/Edge Computing from Architectural Perspectives,” in Fog/Edge Computing For Security, Privacy, and Applications, Springer, 2021.

2026 and Early Access

Journals

  1. X.-T. Nguyen, M.-D. Nguyen, H. D. Nguyen, G. M. P. O’Hare, and Q.-V. Pham, “Predictive Intelligence for Future Networks: The Promise of World Models for 6G,” IEEE Consumer Electronics Magazine, early access. Invited paper

  2. J. Zhao, Y. Tian, Y. Cang, Z. Yang, Q.-V. Pham, and M. Chen, “Latency-Efficient LLM Split Inference with Token Reduction,” IEEE Transactions on Vehicular Technology, early access.

  3. D.-H. Nguyen, B. D. Manh, C.-H. Nguyen, D. T. Hoang, D. N. Nguyen, V.-D. Nguyen, and Q.-V. Pham, “PRICE: Privacy-Preserving Image Classification in Mobile Edge-Cloud Computing with Homomorphic Encryption,” IEEE Transactions on Mobile Computing, early access.

  4. J. Cai, H. Zhang, W. Wang, T. R. Gadekallu, Q.-V. Pham, H. Feng, and K. Fang, “FedMLKD: Communication-Efficient Federated Learning for UAV Swarm Flash Flood Segmentation,” IEEE Transactions on Mobile Computing, early access.

  5. T. Huynh-The, T.-D. Tran, D. B. da Costa, and Q.-V. Pham, “WaFormer: Monotonic Positional Warping for Efficient Signal Waveform Classification in Radar-Communication Systems,” IEEE Wireless Communications Letters, early access. Python code

  6. T. Huynh-The, P.-L. Huynh, T.-H. Vu, V.-C. Phan, S. N. Truong, and Q.-V. Pham, “Attentive Synergic Tri-stream Additive Network for 5G-LTE-ASR Spectrum Identification,” IEEE Transactions on Vehicular Technology, early access. Python code

  7. S.-G. Jeong, M. D. Cong, D.-I. Noh, Q.-V. Pham, and W.-J. Hwang, “Embedding-Aware Noise Modeling of Quantum Annealing,” Quantum Information Processing, vol. 26, no. 10, 2026. Python code

  8. L. T. Nguyen, H. T. Dinh, D. N. Nguyen, and Q.-V. Pham, “Carpe Diem: Critical Learning Period-Aware Contract-Based Incentives for Federated Learning,” IEEE Transactions on Network Science and Engineering, vol. 13, pp. 10863-10881, 2026. Python code

  9. M.-D. Nguyen, Q.-V. Pham, H. T. Dinh, L. Tran-Thanh, D. N. Nguyen, and W.-J. Hwang, “Exploiting Label-aware Knowledge from Heterogeneous Clients for Hierarchical Federated Learning,” IEEE Transactions on Parallel and Distributed Systems, vol. 37, no. 7, pp. 1725-1739, Jul. 2026. Python code

  10. T.-T. Dao, Q.-V. Pham, T. Huynh-The, and W.-J. Hwang, “Transformer Model Embedding Dual Stream for Modulation Classification of Short Signal Samples,” ACM Transactions on Intelligent Systems and Technology, vol. 17, no. 3, pp. 1-25, Jun. 2026. Python code

  11. N.-H. Mai, S. N. Truong, Q.-V. Pham, and T. Huynh-The, “Learning Spectral Structures: Efficient Segmentation via Hierarchical Kernel Attention,” IEEE Wireless Communications Letters, vol. 15, pp. 3866-3870, Jun. 2026.

  12. H. Feng, E. Bedeer, M. Zeng, X. Li, S. Gong, and Q.-V. Pham, “Phase-Aware Localization in Pinching Antenna Systems: CRLB Analysis and ML Estimation,” IEEE Communications Letters, vol. 30, pp. 2412-2416, Jun. 2026.

  13. T.-H. Vu, N. H. Tu, T. Huynh-The, K. Lee, S. Kim, M. Voznak, and Q.-V. Pham, “Integration of TinyML and LargeML: A Survey of 6G and Beyond,” IEEE Internet of Things Journal, vol. 13, no. 10, pp. 20558-20582, May 2026.

  14. T. D. Gian, T. T. Dung, Q.-V. Pham, L.-N. Tran, and V.-D. Nguyen, “Multimodal Human Pose Estimation: A Wi-Fi-Driven Approach with Adaptive Kernel Selection,” IEEE Transactions on Artificial Intelligence, vol. 7, no. 5, pp. 2941-2955, May 2026. Python code

  15. T. Huynh-The, N.-H. Mai, Q.-V. Pham, and H.-T. P. Dang, “Denoise2Seg: A Deep Denoising-Segmentation Model for Interference-Resilient Spectrum Sensing,” IEEE Communications Letters, vol. 15, pp. 3119-3123, May 2026.

  16. H.-T. P. Dang, H.-T. Nguyen, Q.-V. Pham, V.-C. Pham, and T. Huynh-The, “Compact Spectrum Sensing with RPNet+CLRu: Reducing Model Size for 5G-LTE Signal Identification,” IEEE Transactions on Vehicular Technology, vol. 75, no. 4, pp. 5819-5830, Apr. 2026.

  17. T. Huynh-The, Q.-V. Pham, S. N. Truong, V.-C. Phan, and P.-T. Huynh, “RecSpecUNet: A Recycled and Selective Architecture for Efficient Spectrogram Segmentation,” IEEE Communications Letters, vol. 30, pp. 1592-1596, Mar. 2026. Python code

  18. P.-L. Huynh, V.-C. Pham, Q.-V. Pham, D. B. da Costa, and T. Huynh-The, “ASTRA-Net: Adaptive Spectro-Temporal Robust Architecture for Spectrum Sensing,” IEEE Wireless Communications Letters, vol. 15, pp. 1926-1930, Feb. 2026. Python code

  19. L. T. Nguyen, M. T. de Oliveira, A. Braeken, A. Y. Ding, and Q.-V. Pham, “Towards Verifiable Federated Unlearning: Framework, Challenges, and The Road Ahead,” IEEE Internet Computing, vol. 30, no. 1, pp. 59-70, Jan.-Feb. 2026.

  20. T. R. Gadekallu, Q.-V. Pham, T. Huynh-The, S. Bhattacharya, P. K. R. Maddikunta, M. Liyanage, and T. T. Nguyen, “Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions,” Engineering Applications of Artificial Intelligence, vol. 16, pp. 113614, Feb. 2026.

  21. A. Braeken, D. Deac, T. L. Nguyen, G. Gür, Q.-V. Pham, C. Yapa, P. G. Vinueza-Naranjo, H. C. Mora, C. Moremada, M. Liyanage, “6G AI Security: From Fundamentals to Offensive and Defensive Landscape in 6G,” IEEE Communications Surveys & Tutorials, vol. 28, pp. 4765-4799, 2026.

  22. N. C. Luong, T. Huynh-The, T.-H. Vu, D. V. Le, H. T. Nguyen, N. D. Hai, G.-V. Nguyen, N. D. D. Anh, D. Niyato, D. I. Kim, and Q.-V. Pham, “Advanced Learning Algorithms for Integrated Sensing and Communication (ISAC) Systems in 6G and Beyond: A Comprehensive Survey,” IEEE Communications Surveys & Tutorials, vol. 28, pp. 2572-2611, 2026.

  23. H.-T. Nguyen, H.-T. P. Dang, Q.-V. Pham, V.-C. Phan, and T. Huynh-The, “Adversarial Training Approach for Signal Identification in 5G-LTE Spectrum Sensing,” IEEE Wireless Communications Letters, vol. 15, pp. 390-394, Jan. 2026.

  24. M. Zeng, J. Wang, W. Hao, Z. Chu, W. Xie, and Q.-V. Pham, “Recent Advances in Near-Field Beam Training and Channel Estimation for XL-MIMO Systems,” Advanced Information and Communication, 2026.

  25. T.-H. Vu, M. Zeng, S. Kim, H. V. Poor, and Q.-V. Pham, “Short-Packet Communications: Recent Advances and Research Challenges,” IEEE Network, vol. 40, no. 4, pp. 268-275, 2026.

  26. S. Pakravan, M. Ahmadzadeh, M. Zeng, Z. Yang, G. A. Hodtani, J.-Y. Chouinard, and Q.-V. Pham, “Fluid Antenna-Assisted Uplink NOMA Networks under Imperfect SIC,” IEEE Transactions on Vehicular Technology, vol. 75, no. 1, pp. 1689-1694, Jan. 2026.

  27. N.-M. Luu, M.-D. Nguyen, E. B. Mohamed, V.-D. Nguyen, D. T. Hoang, D. N. Nguyen, and Q.-V. Pham, “Energy-Efficient and Real-Time Sensing for Federated Continual Learning via Sample-Driven Control,” IEEE Transactions on Mobile Computing, vol. 25, no. 1, pp. 372-387, Jan. 2026. Python code

Conferences

  1. L. T. Nguyen and Q.-V. Pham, “Not All Retained Clients Are Equal: Client Selection for Federated Unlearning,” in Conference on Neural Information Processing Systems (NeurIPS) NewInML Workshop, Paris, France, Dec. 2026.

  2. S. S. McDonnell, A. Singh, Q.-V. Pham, V. Havlík, and G. M. P. O’Hare, “Harnessing Disagreement: Detecting Correlated Agreement Blindness in Multi-Agent Triage,” in International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), Naples, Italy, Oct. 2026. Python code

  3. A. Braeken, A. R. Cavalli, A. Ding, Y. Guo, A. Kanta, M.-T. Kechadi, M. Liyanage, E. M. de Oca, H. N. Nguyen, M.-D. Nguyen, T. L. Nguyen, Q.-V. Pham, Q. Tang, R. Thantilage, “XAI-driven Runtime Validation for Zero-Touch Security Management in AI-native 6G,” in IEEE Next Generation Communications (NextGCom), Kefalonia, Greece, Sep. 2026.

  4. M.-D. Nguyen, S. H. Wanasekara, L.-T. Nguyen, K.-T. Yong, Q.-V. Pham, N. H. Tran, and D. D. Le, “Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict Mitigation and Expression,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, CO, USA, Jun. 2026. Python code Poster

  5. C. Moremada, V. Ravihansa, B. Siniarski, A. Braeken, Q.-V. Pham, Y. Siriwardhana, B. O. Ozparlak, E. Kanaki, G. Gür, P. Chatzimisios, E. M. de Oca, S. Sarfati, and M. Liyanage, “Evolution in Security for 6G Networks: AI Perspectives,” in EuCNC & 6G Summit, Málaga, Spain, Jun. 2026.

  6. H. Sun, M. Chen, Y. Hu, Y. Cang, and Q.-V. Pham, “Latency Minimization in AirComp-Assisted Split Federated Learning with Layer-Wise Aggregation,” in IEEE International Conference on Communications (ICC) Workshop on Multiple Access Techniques for Intelligent and Multi-functional 6G, Glasgow, UK, May 2026. Presentation

  7. C. Hao, J. Qian, Z. Sui, Q.-V. Pham, X. Dang, and M. Matthaiou, “Lightweight Task-Adaptive Residual Attention Network for Few-Shot Modulation Classification,” in IEEE International Conference on Communications (ICC) TITAN Workshop, Glasgow, UK, May 2026.

  8. M. Q. Duong, M.-D. Nguyen, and Q.-V. Pham, “KISS: Knowledge Inversion and Synthesis for Server-side Federated Unlearning,” in ADAPT Annual Scientific Conference, Dublin, Ireland, May 2026.

  9. T. D. Gian, T. T. Dung, Q.-V. Pham, F. Restuccia, and V.-D. Nguyen, “TinySense: Effective CSI Compression for Scalable and Accurate Wi-Fi Sensing,” in IEEE International Conference on Pervasive Computing and Communications (PerCom), Pisa, Italy, Mar. 2026. Python code

2025

Journals

  1. M. Alishahi, M. Zeng, P. Fortier, O. Waqar, M. Hanif, D. T. Hoang, D. N. Nguyen, and Q.-V. Pham, “Efficient STAR-RIS Mode for Energy Minimization in WPT-FL Networks with NOMA,” IEEE Transactions on Communications, vol. 73, no. 12, pp. 15583-15598, Dec. 2025.

  2. J. Zhao, M. Chen, Z. Yang, Y. Pan, D. Niyato, and Q.-V. Pham, “Resource Allocation for Semantic-Aware Wireless Communication Networks with Imperfect CSI,” IEEE Transactions on Wireless Communications, vol. 24, no. 12, pp. 9840-9853, Dec. 2025.

  3. T. Huynh-The, H.-T. Nguyen, T.-H. Vu, D. B. da Costa, and Q.-V. Pham, “D2SNet: A Denoising-to-Segmentation Network for Enhanced 5G-LTE Spectrum Awareness,” IEEE Wireless Communications Letters, vol. 14, no. 12, pp. 3942-3946, Dec. 2025.

  4. T. Huynh-The, P.-T. Huynh, and Q.-V. Pham, “Spec-YOLO: An Efficient Deep Network for Spectrogram-based Signals Identification,” IEEE Wireless Communications Letters, vol. 14, no. 11, pp. 3550-3554, Nov. 2025.

  5. H. L. Hung, N. H. Huy, N. C. Luong, Q.-V. Pham, D. Niyato, N. T. Hoa, “Beamforming Design for Physical Security in Movable Antenna-aided ISAC Systems: A Reinforcement Learning Approach,” IEEE Transactions on Vehicular Technology, vol. 74, no. 11, pp. 18163-18167, Nov. 2025.

  6. M. Huang, F. Gong, J. Zhao, Z. Yin, X. Li, and Q.-V. Pham, “Secure Precoding Design for RSMA Transmission in HAP-Assisted Non-Terrestrial Networks,” IEEE Transactions on Vehicular Technology, vol. 74, no. 9, pp. 14876-14881, Sep. 2025.

  7. Q. V. Do, Q.-V. Pham, Z. Yang, and W.-J. Hwang, “Learning-Based QoE Optimization for Green Edge Computing Networks with Aerial Servers,” IEEE Transactions on Green Communications and Networking, vol. 9, no. 3, pp. 1326-1339, Sep. 2025.

  8. T.-H. Vu, D. B. da Costa, S. Kim, and Q.-V. Pham, “Outage, Capacity, and Error Performance of Downlink RSMA-based Systems: Analysis and Resource Optimization,” IEEE Transactions on Communications, vol. 73, no. 8, pp. 6868-6883, Aug. 2025.

  9. H.-T. Nguyen, H.-T. P. Dang, Q.-V. Pham, and T. Huynh-The, “Resolution-Preserving Multi-Scale Network for 5G-LTE Spectrogram-based Spectrum Sensing,” IEEE Wireless Communications Letters, vol. 14, no. 6, pp. 1673-1677, Jun. 2025.

  10. S.-G. Jeong, P. D. A. Duc, Q.-V. Do, D.-I. Noh, N. X. Tung, T. V. Chien, Q.-V. Pham, M. Hasegawa, H. Sekiya, and W.-J. Hwang, “Quantum Annealing-Based Sum Rate Maximization for Multi-UAV-Aided Wireless Networks,” IEEE Internet of Things Journal, vol. 12, no. 12, pp. 21225-21239, Jun. 2025.

  11. B. Zhang, N. V. Huynh, H. T. Dinh, 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, vol. 11, no. 3, pp. 1738-1751, Jun. 2025.

  12. B. D. Manh, C.-H. Nguyen, H. T. Dinh, D. N. Nguyen, M. Zeng, and Q.-V. Pham, “Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption,” IEEE Internet of Things Journal, vol. 12, no. 11, pp. 16478-16492, Jun. 2025.

  13. R. Ruby, B. M. ElHalawany, Q.-V. Pham, K. Wu, and L. Wang, “Impact of UAV-Based Transmitter Mobility on Physical Layer Security,” IEEE Transactions on Information Forensics and Security, vol. 20, pp. 5604-5619, May 2025.

  14. M.-D. Nguyen, Q.-V. Do, Z. Yang, Q.-V. Pham, and W.-J. Hwang, “Distortion Resilience for Goal-Oriented Semantic Communication,” IEEE Transactions on Mobile Computing, vol. 24, no. 5, pp. 3489-3501, May 2025. Python code

  15. K. Do, M.-D. Nguyen, T. H. Nguyen, L. Tran-Thanh, and Q.-V. Pham, “Revisiting LARS for Large Batch Training Generalization of Neural Networks,” IEEE Transactions on Artificial Intelligence, vol. 6, no. 5, pp. 1321-1333, May 2025. Python code

  16. M. Le, T. Huynh-The, T. Do-Duy, T.-H. Vu, W.-J. Hwang, and Q.-V. Pham, “Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey,” IEEE Communications Surveys & Tutorials, vol. 27, no. 2, pp. 1053-1100, Apr. 2025.

  17. O. Aouedi, T.-H. Vu, A. Alessio, D. C. Nguyen, and K. Piamrat, G. Marchetto, and Q.-V. Pham, “Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions,” IEEE Communications Surveys & Tutorials, vol. 27, no. 2, pp. 1238-1292, Apr. 2025.

  18. M. Alishahi, P. Fortier, M. Zeng, X. Li, T. Huynh-The, and Q.-V. Pham, “Latency Minimization for STAR-RIS aided Federated Learning Networks with Wireless Power Transfer,” IEEE Internet of Things Journal, vol. 12, no. 7, pp. 8508-8522, Apr. 2025.

  19. M. Alishahi, P. Fortier, M. Zeng, T. Huynh-The, and Q.-V. Pham, “Total Computational bits Maximization for STAR-RIS aided Wireless Power Transfer Mobile Edge Computing Networks: TDMA or NOMA?,” IEEE Transactions on Vehicular Technology, vol. 74, no. 2, pp. 3345-3358, Feb. 2025.

  20. T. Huynh-The, G.-V. Nguyen, T.-H. Vu, D. B. da Costa, and Q.-V. Pham, “SRNet: Deep Semantic Segmentation Network for Spectrum Sensing in Wireless Communications,” IEEE Wireless Communications Letters, vol. 14, no. 2, pp. 355-359, Feb. 2025. MATLAB code

  21. P. Boopathy, N. Deepa, N. Victor, T. R. Gadekallu, P. K. R. Maddikunta, G. Yenduri, W. Wang, Q.-V. Pham, T. Huynh-The, and M. Liyanage, “Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges,” IEEE Open Journal of the Computer Society, vol. 6, pp. 4-24, Jan. 2025.

  22. T.-H. Vu, S. K. Jagatheesaperumal, M.-D. Nguyen, N. Van Huynh, S. Kim, and Q.-V. Pham, “Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey,” IEEE Internet of Things Journal, vol. 12, no. 2, pp. 1266-1290, Jan. 2025.

Conferences

  1. L. T. Nguyen and Q.-V. Pham, “A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning,” in IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2025. Presentation

  2. M. Le, Q.-V. Pham, B. O’Sullivan, and H. D. Nguyen, “Sum Rate Maximization in Downlink HAP-RSMA-based THz Systems: A Generative Diffusion Model enabled RL Approach,” in IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2025. Presentation

  3. D. Dao, Q. M. Le, H. T. Lam, D.-T. Le, Q.-V. Pham, B. O'Sullivan, and H. D. Nguyen, “Agentic Design Patterns: A System-Theoretic Framework,” in Conference on Neural Information Processing Systems (NeurIPS) Workshop on Bridging Language, Agent, and World Models for Reasoning and Planning, California, United States, Dec. 2025.

  4. V.-K. Tran, K.-T. Tran, Q.-V. Pham, K. Guhaa, and H. D. Nguyen, “LLM-Powered Question Answering for Environmental, Social, and Governance (ESG) Reports,” in ACM Workshop in AI-powered Question & Answering Systems, Dublin, Ireland, Oct. 2025.

  5. M.-D. Nguyen, K. Le, K. Do, Q.-V. Pham, B.-S. Hua, and W.-J. Hwang, “Domain Generalization via Pareto Optimal Gradient Matching,” in European Conference on Artificial Intelligence (ECAI), Bologna, Italy, Oct. 2025.

  6. V.-T. Tran, H.-H. Nguyen-Le, and Q.-V. Pham, “ToFU: Transforming How Federated Learning Systems Forget User Data,” in European Conference on Artificial Intelligence (ECAI), Bologna, Italy, Oct. 2025.

  7. M.-D. Nguyen, L.-T. Nguyen, and Q.-V. Pham, “Spatio-Temporal Gradient Matching for Federated Continual Learning,” in International Conference on Machine Learning (ICML) workshop on Collaborative and Federated Agentic Workflows (CFAgentic @ ICML), Vancouver, Canada, Jul. 2025.

  8. C. Moremada, V. Ravihansa, B. Siniarski, A. Braeken, Q.-V. Pham, Y. Siriwardhana, B. O. Ozparlak, E. Kanaki, P. Chatzimisios, G. Gür, M. Liyanage, “ENSURE-6G: Advancing Security and Privacy with AI in 6G Networks,” in EuCNC & 6G Summit, Poznań, Poland, Jun. 2025.

  9. L. T. Nguyen and Q.-V. Pham, “A Critical Learning Period-Aware Incentive Mechanism for Federated Learning,” in IEEE 101st Vehicular Technology Conference: VTC2025-Spring, Oslo, Norway, Jun. 2025. Presentation

  10. J. Zhao, M. Chen, M. Le, M. Huang, Z. Yang, and Q.-V. Pham, “Sustainable Federated Learning with Mobile Crowdsensing: A DRL Approach for Learning Efficiency Maximization,” in IEEE International Conference on Communications (ICC), Montreal, Canada, Jun. 2025.

  11. V.-T. Tran, K. Le, and Q.-V. Pham, “Revisiting Sparse Mixture of Experts for Resource-adaptive Federated Fine-tuning Foundation Models,” in International Conference on Learning Representations (ICLR) Workshop on Modularity for Collaborative, Decentralized, and Continual Deep Learning (MCDC @ ICLR), Singapore, Apr. 2025.

  12. T. B. Nguyen, M.-D. Nguyen, J. Park, Q.-V. Pham, and W.-J. Hwang, “Federated Domain Generalization with Data-free On-server Matching Gradient,” in International Conference on Learning Representations (ICLR), Singapore, Apr. 2025. Python code Poster.pdf

  13. K.-T. Tran, D. Dao, M.-D. Nguyen, Q.-V. Pham, B. O'Sullivan, H. D. Nguyen, “Demystifying LLM-based Multi-Agent Collaboration,” in AAAI 2025 Workshop on Advancing LLM-Based Multi-Agent Collaboration, Pennsylvania, USA, Mar. 2025. Poster

2024

Journals

  1. M. Le, Q.-V. Pham, Q. V. Do, Z. Han, and W.-J. Hwang, “Resource Allocation in THz-NOMA-enabled HAP Systems: A Deep Reinforcement Learning Approach,” IEEE Transactions on Consumer Electronics, vol. 70, no. 4, pp. 6808-6816, Nov. 2024.

  2. M. Le, H. T. Dinh, D. N. Nguyen, Q.-V. Pham, and W.-J. Hwang, “Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation,” IEEE Internet of Things Journal, vol. 11, no. 21, pp. 34093-34107, Nov. 2024.

  3. T. Huynh-The, N. C. Luong, H. Phan, D. B. da Costa, and Q.-V. Pham, “Improved Waveform Classification for Integrated Radar-Communication 6G Systems via Convolutional Neural Networks,” IEEE Transactions on Vehicular Technology, vol. 73, no. 9, pp. 13921-13925, Sep. 2024.

  4. M. Huang, F. Gong, G. Li, N. Zhang, and Q.-V. Pham, “Secure Precoding for Satellite NOMA-Aided Integrated Sensing and Communication,” IEEE Internet of Things Journal, vol. 11, no. 18, pp. 29533-29545, Sep. 2024.

  5. D. C. Nguyen, Q.-V. Pham, S. Hosseinalipour, Z. Xiong, T. M. H. Trong and Y. Eldar, “Guest Editorial: Federated Learning for Industrial Internet of Things,” IEEE Internet of Things Magazine, vol. 7, no. 5, pp. 12-13, Sep. 2024.

  6. Z. Zhao, Z. Yang, X. Gan, Q.-V. Pham, C. Huang, W. Xu, and Z. Zhang, “A Joint Communication and Computation Design for Semantic Wireless Communication with Probability Graph,” Journal of the Franklin Institute, vol. 361, no. 13, pp. 107055, Sep. 2024.

  7. T.-H. Vu, Q.-V. Pham, T.-T. Nguyen, D. B. da Costa, and S. Kim, “Enhancing RIS-Aided Two-Way Full-Duplex Communication with Non-Orthogonal Multiple Access,” IEEE Internet of Things Journal, vol. 11, no. 11, pp. 19963-19977, Jun. 2024.

  8. N. C. Luong, T. Huynh-The, V.-D. Nguyen, D. W. K. Ng, S. Chatzinotas, D. Niyato, and Q.-V. Pham, “Incentive Mechanism and Semantic Communication for Edge Computing-assisted Metaverse,” IEEE Network, vol. 38, no. 3, pp. 277-284, May 2024.

  9. M. Alishahi, P. Fortier, M. Zeng, Q.-V. Pham, and X. Li, “Energy Minimization for IRS-aided Wireless Powered Federated Learning Networks with NOMA,” IEEE Internet of Things Journal, vol. 11, no. 9, pp. 16339-16350, May 2024.

  10. T.-H. Vu, Q.-V. Pham, and S. Kim, “THz-based Rate-Splitting Multiple-Access (RSMA): Is It Always Better Than NOMA?,” IEEE Transactions on Vehicular Technology, vol. 73, no. 3, pp. 4435-4440, Mar. 2024. MATLAB code

  11. Y. Ding, Z. Yang, Q.-V. Pham, Z. Zhang, and M. Shikh-Bahaei, “Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics,” IEEE Internet of Things Journal, vol. 11, no. 5, pp. 7447-7473, Mar. 2024.

  12. P. Boopathy, M. Liyanage, N. Deepa, M. Velavali, S. Reddy, P. K. R. Maddikunta, N. Khare, T. R. Gadekallu, W.-J. Hwang, and Q.-V. Pham, “Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey,” Computer Science Review, vol. 51, pp. 100617, Feb. 2024.

  13. T.-T. Dao, D.-I. Noh, Q.-V. Pham, M. Hasegawa, H. Sekiya, and W.-J. Hwang, “VT-MCNet: High-Accuracy Automatic Modulation Classification Model based on Vision Transformer,” IEEE Communications Letters, vol. 28, no. 1, pp. 98-102, Jan. 2024.

  14. L. N. T. Huynh, M. D. Hossain, Q.-V. Pham, Y. K. Tun, and E.-N. Huh, “A Block-structured Optimization Approach for Data Sensing and Computing in Vehicle-assisted Edge Computing Networks,” IEEE Sensors Journal, vol. 24, no. 1, pp. 952-961, Jan. 2024.

Conferences

  1. M. N. Luu, M.-D. Nguyen, V. D. Nguyen, and Q.-V. Pham, “Empowering Federated Learning with DDPG for Energy Efficiency in Communication Networks,” in IEEE International Conference on Communications and Electronics (ICCE), Da Nang, Vietnam, Aug. 2024.

2023 and Before

Show all publications in 2023 or earlier

Journals

  1. S. Pakravan, J.-Y. Chouinard, X. Li, M. Zeng, W. Hao, Q.-V. Pham, and O. A. Dobre, “Physical Layer Security for NOMA Systems: Requirements, Issues, and Recommendations,” IEEE Internet of Things Journal, vol. 10, no. 24, pp. 21721-21737, Dec. 2023.

  2. A. K. Bashir, N. Victor, S. Bhattacharya, T. Huynh-The, R. Chengoden, G. Yenduri, P. K. R. Maddikunta, Q.-V. Pham, T. R. Gadekallu, and M. Liyanage, “Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges and Future Directions,” IEEE Internet of Things Journal, vol. 10, no. 24, pp. 21873-21891, Dec. 2023.

  3. T.-H. Vu, Q.-V. Pham, D. B. da Costa, and S. Kim, “Rate-Splitting Multiple Access-Assisted THz-Based Short-Packet Communications,” IEEE Wireless Communications Letters, vol. 12, no. 12, pp. 2218-2222, Dec. 2023. MATLAB code

  4. M.-D. Nguyen, S.-M. Lee, Q.-V. Pham, H. T. Dinh, D. N. Nguyen, and W.-J. Hwang, “HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks,” IEEE Transactions on Mobile Computing, vol. 22, no. 11, pp. 6495-6507, Nov. 2023. Python code

  5. X. Zhu, H. Wang, Z. Yang, and Q.-V. Pham, “Time-Division Based Integrated Sensing, Communication, and Computing in Integrated Satellite-Terrestrial Networks,” Digital Signal Processing, vol. 143, pp. 104262, Nov. 2023.

  6. T.-H. Vu, T.-V. Nguyen, Q.-V. Pham, D. B. da Costa, and S. Kim, “STAR-RIS Enabled Short-Packet NOMA Systems,” IEEE Transactions on Vehicular Technology, vol. 72, no. 10, pp. 13764-13769, Oct. 2023

  7. N. H. Chu, D. N. Nguyen, H. T. Dinh, Q.-V. Pham, K. T. Phan, W.-J. Hwang, and E. Dutkiewicz, “AI-enabled mm-Waveform Configuration for Autonomous Vehicles with Integrated Communication and Sensing,” IEEE Internet of Things Journal, vol. 10, no. 19, pp. 16727-16743, Oct. 2023.

  8. A. Samanta, Q.-V. Pham, N.-N. Dao, A. Muthanna, and S. Cho, “mISO: Incentivizing Demand-Agnostic Microservices for Edge-Enabled IoT Networks,” IEEE Transactions on Services Computing, vol. 16, no. 5, pp. 3523-3536, Sept.-Oct. 2023.

  9. Y. M. Saputra, D. N. Nguyen, H. T. Dinh, Q.-V. Pham, E. Dutkiewicz, and W.-J. Hwang, “Federated Learning Framework with Straggling Mitigation and Privacy-Awareness for AI-based Mobile Application Services,” IEEE Transactions on Mobile Computing, vol. 22, no. 9, pp. 5296-5312, Sep. 2023.

  10. N. Iradukunda, Q.-V. Pham, Z. Ding, and W.-J. Hwang, “THz-Enabled UAV Communications using Non-Orthogonal Multiple Access,” IEEE Transactions on Vehicular Technology, vol. 72, no. 8, pp. 10977-10981, Aug. 2023.

  11. C. de Alwis, P. Kumar, Q.-V. Pham, K. Dev, A. Kalla, M. Liyanage, and W.-J. Hwang, “Towards 6G: Key Technological Directions,” ICT Express, vol. 9, no. 4, pp. 525-533, Aug. 2023.

  12. T.-H. Vu, T.-T. Nguyen, Q.-V. Pham, D. B. da Costa, and S. Kim, “A Novel Partial Decode-and-Amplify NOMA-Inspired Relaying Protocol for Uplink Short-Packet Communications,” IEEE Wireless Communications Letters, vol. 12, no. 7, pp. 1244-1248, Jul. 2023.

  13. T. Huynh-The, T. R. Gadekallu, W. Wang, G. Yenduri, P. Ranaweera, Q.-V. Pham, D. B. da Costa, and M. Liyanage, “Blockchain for the Metaverse: A Review,” Future Generation Computer Systems, vol. 143, pp. 401-419, Jun. 2023.

  14. T.-H. Vu, T.-V. Nguyen, Q.-V. Pham, D. B. da Costa, and S. Kim, “Short-Packet Communications in UAV-Based NOMA Systems under Imperfect CSI and SIC,” IEEE Transactions on Cognitive Communications and Networking, vol. 9, no. 2, pp. 463-478, Apr. 2023.

  15. Q.-V. Pham, M. Zeng, O. A. Dobre, Z. Ding, and L. Song, “Guest Editorial Special Issue on Aerial Computing for the Internet of Things (IoT),” IEEE Internet of Things Journal, vol. 10, no. 7, pp. 5623-5625, Apr. 2023.

  16. T.-H. Vu, T.-V. Nguyen, Q.-V. Pham, D. B. da Costa, and S. Kim, “Hybrid Long-and Short-Packet Based NOMA Systems with Joint Power Allocation and Beamforming Design,” IEEE Transactions on Vehicular Technology, vol. 72, no. 3, pp. 4079-4084, Mar. 2023.

  17. T. Huynh-The, T.-V. Nguyen, Q.-V. Pham, D. B. da Costa, K.-H. Kwon, and D.-S. Kim, “Efficient Convolutional Networks for Robust Automatic Modulation Classification in OFDM-Based Wireless Systems,” IEEE Systems Journal, vol. 17, no. 1, pp. 964-975, Mar. 2023. MATLAB code

  18. W. Wang, F. H. Memon, Z. Lian, H. Xu, T. R. Gadekallu, Q.-V. Pham, K. Dev, and C. Su, “Secure-Enhanced Federated Learning for AI-Empowered Electric Vehicle Energy Prediction,” IEEE Consumer Electronics Magazine, vol. 12, no. 2, pp. 27-34, Mar. 2023.

  19. T. Huynh-The, Q.-V. Pham, X.-Q. Pham, T. T. Nguyen, Z. Han, and D.-S. Kim, “Artificial Intelligence for the Metaverse: A Survey,” Engineering Applications of Artificial Intelligence, vol. 117, pp. 105581, Jan. 2023.

  20. H. Dang-Ngoc, D. N. Nguyen, K. Ho-Van, H. T. Dinh, E. Dutkiewicz, Q.-V. Pham, and W.-J. Hwang, “Secure Swarm UAV-assisted Communications with Cooperative Friendly Jamming,” IEEE Internet of Things Journal, vol. 9, no. 24, pp. 25596-25611, Dec. 2022.

  21. S. K. Jagatheesaperumal, Q.-V. Pham, R. Ruby, Z. Yang, C. Xu, and Z. Zhang, “Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions,” IEEE Open Journal of the Communications Society, vol. 3, pp. 2106-2136, Nov. 2022.

  22. P. K. R. Maddikunta, Q.-V. Pham, D. C. Nguyen, T. Huynh-The, O. Aouedi, G. Yenduri, S. Bhattacharya, and T. R. Gadekallu, “Incentive techniques for the Internet of Things: A survey,” Journal of Network and Computer Applications, vol. 206, pp. 103464, Oct. 2022.

  23. A. S. Sadiq, A. A. Dehkordi, S. Mirjalili, and Q.-V. Pham, “Nonlinear Marine Predator Algorithm: A Cost-effective Optimizer for Fair Power Allocation in NOMA-VLC-B5G Network,” Expert Systems with Applications, vol. 203, pp. 117395, Oct. 2022. MATLAB code

  24. J. Jiang, F. Liu, W. W. Y. Ng, Q. Tang, W. Wang, and Q.-V. Pham, “Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things,” IEEE Transactions on Green Communications and Networking, vol. 6, no. 3, pp. 1316-1329, Sep. 2022.

  25. C. T. Nguyen, N. V. Huynh, N. H. Chu, Y. M. Saputra, H. T. Dinh, D. N. Nguyen, Q.-V. Pham, D. Niyato, E. Dutkiewicz, and W.-J. Hwang, “Transfer Learning for Wireless Networks: A Comprehensive Survey,” Proceedings of the IEEE, vol. 110, no. 8, pp. 1073-1115, Aug. 2022.

  26. G. Gür, A. Kalla, C. de Alwis, Q.-V. Pham, K.-H. Ngo, M. Liyanage, and P. Porambage, “Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research,” IEEE Open Journal of the Communications Society, vol. 3, pp. 1382-1412, Aug. 2022.

  27. P. Boopalan, S. P. Ramu, Q.-V. Pham, K. Dev, S. Pandya, P. K. R. Maddikunta, T. R. Gadekallu, and T. Huynh-The, “Fusion of Federated Learning and Industrial Internet of Things: A Survey,” Computer Networks, vol. 212, pp. 109048, Jul. 2022.

  28. M. Liyanage, Q.-V. Pham, K. Dev, S. Bhattacharya, P. K. R. Maddikunta, T. R. Gadekallu, and G. Yenduri, “A Survey on Zero Touch Network and Service Management (ZSM) for 5G and Beyond Networks,” Journal of Network and Computer Applications, vol. 203, pp. 103362, Jul. 2022.

  29. Q.-V. Pham, R. Ruby, F. Fang, D. 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, vol. 9, no. 11, pp. 8339-8363, Jun. 2022.

  30. T. Huynh-The, T.-V. Nguyen, Q.-V. Pham, D. B. da Costa, and D.-S. Kim, “MIMO-OFDM Modulation Classification Using Three-Dimensional Convolutional Network,” IEEE Transactions on Vehicular Technology, vol. 71, no. 6, pp. 6738-6743, Jun. 2022.

  31. M. Le, Q.-V. Pham, H.-C. Kim, and W.-J. Hwang, “Enhanced Resource Allocation in D2D Communications with NOMA and Unlicensed Spectrum,” IEEE Systems Journal, vol. 16, no. 2, pp. 2856-2866, Jun. 2022.

  32. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, T. T. Nguyen, D. B. da Costa, and D.-S. Kim, “RanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification,” IEEE Wireless Communications Letters, vol. 11, no. 6, pp. 1243-1247, Jun. 2022.

  33. N. Deepa, Q.-V. Pham, D. C. Nguyen, S. Bhattacharya, B. Prabadevi, T. R. Gadekallu, P. K. R. Maddikunta, F. Fang, and P. N. Pathirana, “A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions,” Future Generation Computer Systems, vol. 131, pp. 209-226, Jun. 2022.

  34. Q.-V. Pham, M. Zeng, T. Huynh-The, Z. Han, and W.-J. Hwang, “Aerial Access Networks for Federated Learning: Applications and Challenges,” IEEE Network, vol. 36, no. 3, pp. 159-166, May/Jun. 2022.

  35. S. A. Khowaja, K. Dev, P. Khuwaja, Q.-V. Pham, N. M. F. Qureshi, P. Bellavista, and M. Magarini, “IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G,” IEEE Network, vol. 36, no. 3, pp. 48-54, May/Jun. 2022.

  36. Q.-V. Pham, M. Le, T. Huynh-The, Z. Han, and W.-J. Hwang, “Energy-Efficient Federated Learning over UAV-enabled Wireless Powered Communications,” IEEE Transactions on Vehicular Technology, vol. 71, no. 5, pp. 4977-4990, May 2022. MATLAB code

  37. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, D. B. da Costa, and D.-S. Kim, “RF-UAVNet: High-Performance Convolutional Network for RF-based Drone Surveillance Systems,” IEEE Access, vol. 10, pp. 49696-49707, May 2022. MATLAB code

  38. M. Alazab, S. P. Ramu, P. Boopalan, P. K. R. Maddikunta, T. R. Gadekallu, and Q.-V. Pham, “Federated Learning for Cybersecurity: Concepts, Challenges and Future Directions,” IEEE Transactions on Industrial Informatics, vol. 18, no. 5, pp. 3501-3509, May 2022.

  39. H. Yang, R. Ruby, Q.-V. Pham, and K. Wu, “Aiding a Disaster Spot via Multi-UAV-based IoT Networks: Energy and Mission Completion Time-Aware Trajectory Optimization,” IEEE Internet of Things Journal, vol. 9, no. 8, pp. 5853-5867, Apr. 2022.

  40. R. Ruby, Q.-V. Pham, K. Wu, A. A. Heidari, H. Chen, and B. M. ElHalawany, “Enhancing Secrecy Performance of Cooperative NOMA-based IoT Networks via Multi-Antenna Aided Artificial Noise,” IEEE Internet of Things Journal, vol. 9, no. 7, pp. 5108-5127, Apr. 2022.

  41. S. P. Ramu, P. Boopalan, Q.-V. Pham, P. K. R. Maddikunta, T. Huynh-The, M. Alazab, T. T. Nguyen, and T. R. Gadekallu, “Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions,” Sustainable Cities and Society, vol. 79, pp. 103663, Apr. 2022.

  42. D. C. Nguyen, Q.-V. Pham, P. N. Pathirana, M. Ding, A. Seneviratne, J. Lin, O. A. Dobre, and W.-J. Hwang, “Federated Learning for Smart Healthcare: A Survey,” ACM Computing Surveys, vol. 55, no. 3, pp. 1-37, Apr. 2022.

  43. B. M. ElHalawany, A. A. A. El-Banna, Q.-V. Pham, K. Wu, and E. M. Mohamed, “Spectrum Sharing in Cognitive-Radio Inspired NOMA Systems under Imperfect SIC and Co-Channel Interference,” IEEE Systems Journal, vol. 16, no. 1, pp. 1540-1547, Mar. 2022.

  44. P. K. R. Maddikunta, Q.-V. Pham, B. Prabadevi, N. Deepa, K. Dev, T. R. Gadekallu, R. Ruby, and M. Liyanage, “Industry 5.0: A Survey on Enabling Technologies and Potential Applications,” Journal of Industrial Information Integration, vol. 26, pp. 100257, Mar. 2022.

  45. H. Ta, Q.-V. Pham, K. Ho-Van, and S. W. Kim, “Covert Communication with Noise and Channel Uncertainties,” Wireless Networks, vol. 28, no. 1, pp. 161-172, Jan. 2022.

  46. T.-T. Dao, Q.-V. Pham, and W.-J. Hwang, “FastMDE: A Fast CNN Architecture for Monocular Depth Estimation at High Resolution,” IEEE Access, vol. 10, pp. 16111-16122, Jan. 2022.

  47. T. R. Gadekallu, Q.-V. Pham, D. C. Nguyen, P. K. R. Maddikunta, N. Deepa, B. Prabadevi, P. N. Pathirana, J. Zhao, and W.-J. Hwang, “Blockchain for Edge of Things: Applications, Opportunities, and Challenges,” IEEE Internet of Things Journal, vol. 9, no. 2, pp. 964-988, Jan. 2022.

  48. Q. V. Do, Q.-V. Pham, and W.-J. Hwang, “Deep Reinforcement Learning for Energy-Efficient Federated Learning in UAV-Enabled Wireless Powered Networks,” IEEE Communications Letters, vol. 26, no. 1, pp. 99-103, Jan. 2022.

  49. S. Ramasubbareddy, S. Ramasamy, K. S. Sahoo, R. L. Kumar, Q.-V. Pham, and N.-N. Dao, “CAVMS: Application-Aware Cloudlet Adaption and VM Selection Framework for Multicloudlet Environment,” IEEE Systems Journal, vol. 15, no. 4, pp. 5098-5106, Dec. 2021.

  50. L. Nkenyereye, L. Nkenyereye, Q.-V. Pham, and J. S. Song, “Efficient RSU Selection Scheme for Fog-Based Vehicular Software-Defined Network,” IEEE Transactions on Vehicular Technology, vol. 70, no. 11, pp. 12126-12141, Nov. 2021.

  51. H. Han, J. Zhao, W. Zhai, Z. Xiong, D. Niyato, M. D. Renzo, Q.-V. Pham, W. Lu, and K.-Y. Lam, “Reconfigurable Intelligent Surface Aided Power Control for Physical-Layer Broadcasting,” IEEE Transactions on Communications, vol. 69, no. 11, pp. 7821-7836, Nov. 2021.

  52. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, T. T. Nguyen, R. Ruby, M. Zeng, and D.-S. Kim, “Automatic Modulation Classification: A Deep Architecture Survey,” IEEE Access, vol. 9, pp. 142950-142971, Oct. 2021.

  53. Q.-V. Pham, D. C. Nguyen, S. Mirjalili, H. T. Dinh, D. N. Nguyen, P. N. Pathirana, and W.-J. Hwang, “Swarm Intelligence for Next-Generation Networks: Recent Advances and Applications,” Journal of Network and Computer Applications, vol. 191, pp. 103141, Oct. 2021.

  54. T. Huynh-The, C.-H. Hua, V.-S. Doan, Q.-V. Pham, and D.-S. Kim, “Accurate Deep CNN-based Waveform Recognition for Intelligent Radar Systems,” IEEE Communications Letters, vol. 25, no. 9, pp. 2938-2942, Sep. 2021.

  55. D. C. Nguyen, M. Ding, Q.-V. Pham, P. N. Pathirana, L. B. Le, A. Seneviratne, J. Li, D. Niyato, and H. V. Poor, “Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges,” IEEE Internet of Things Journal, vol. 8, no. 16, pp. 12806-12825, Aug. 2021.

  56. P. K. R. Maddikunta, S. Hakak, M. Alazab, S. Bhattacharya, T. R. Gadekallu, W. Z. Khan, and Q.-V. Pham, “Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements and Challenges,” IEEE Sensors Journal, vol. 21, no. 6, pp. 17608-17619, Aug. 2021.

  57. T. Huynh-The, V.-S. Doan, C.-H. Hua, Q.-V. Pham, T.-V. Nguyen, and D.-S. Kim, “Accurate LPI Radar Waveform Recognition with CWD-TFA for Deep Convolutional Network,” IEEE Wireless Communications Letters, vol. 10, no. 8, pp. 1638-1642, Aug. 2021. MATLAB code

  58. R. L. Kumar, Q.-V. Pham, F. Khan, M. J. Piran, K. Dev, “Blockchain for Securing Aerial Communications: Potentials, Solutions, and Research Directions,” Physical Communication, vol. 47, pp. 101390, Aug. 2021

  59. L. Nkenyereye, J. Y. Hwang, Q.-V. Pham, and J. S. Song, “Virtual IoT Service Slice Functions for Multi-Access Edge Computing Platform,” IEEE Internet of Things Journal, vol. 8, no. 14, pp. 11233-11248, Jul. 2021.

  60. Q.-V. Pham, N. T. Nguyen, T. Huynh-The, L. B. Le, K. Lee, and W.-J. Hwang, “Intelligent Radio Signal Processing: A Survey,” IEEE Access, vol. 9, pp. 83818-83850, Jun. 2021.

  61. B. Prabadevi, N. Deepa, Q.-V. Pham, D. C. Nguyen, P. K. R. Maddikunta, T. R. Gadekallu, P. N. Pathirana, and O. A. Dobre, “Toward Blockchain for Edge-of-Things: A New Paradigm, Opportunities, and Future Directions,” IEEE Internet of Things Magazine, vol. 4, no. 2, pp. 102-108, Jun. 2021.

  62. L. Nkenyereye, J. Y. Hwang, Q.-V. Pham, and J. S. Song, “MEIX: Evolving Multi-Access Edge Computing for Industrial Internet-of-Things Services,” IEEE Network, vol. 35, no. 3, pp. 147-153, May/Jun. 2021.

  63. M. Zeng, E. B. Mohamed, O. A. Dobre, P. Fortier, Q.-V. Pham, and W. Hao, “Energy-Efficient Resource Allocation for IRS-Assisted Multi-Antenna Uplink Systems,” IEEE Wireless Communications Letters, vol. 10, no. 6, pp. 1261-1265, Jun. 2021.

  64. Q.-V. Pham, N. Iradukunda, Nguyen H. Tran, W.-J. Hwang, and S.-W. Chung, “Joint Placement, Power Control, and Spectrum Allocation for UAV Wireless Backhaul Networks,” IEEE Networking Letters, vol. 3, no. 2, pp. 56-60, Jun. 2021.

  65. N.-N. Dao, Q.-V. Pham, N. H. Tu, T. T. Thanh, V. N. Q. Bao, D. S. Lakew, and S. Cho, “Survey on Aerial Radio Access Networks: Toward a Comprehensive 6G Access Infrastructure,” IEEE Communications Surveys & Tutorials, vol. 23, no. 2, pp. 1193-1225, Second Quarter 2021.

  66. Q.-V. Pham, M. Zeng, R. Ruby, T. Huynh-The, and W.-J. Hwang, “UAV Communications for Sustainable Federated Learning,” IEEE Transactions on Vehicular Technology, vol. 70, no. 4, pp. 3944-3948, Apr. 2021. MATLAB code

  67. C. de Alwis, A. Kalla, Q.-V. Pham, P. Kumar, K. Dev, W.-J. Hwang, and M. Liyanage, “Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research,” IEEE Open Journal of the Communications Society, vol. 2, pp. 836-886, Apr. 2021.

  68. N.-N. Dao, Q.-V. Pham, D.-T. Do, S. Dustdar, “The Sky is the Edge—Toward Mobile Coverage from the Sky,” IEEE Internet Computing, vol. 25, no. 2, pp. 101-108, Mar.-Apr. 2021.

  69. N. Iradukunda, Q.-V. Pham, M. Zeng, H.-C. Kim, and W.-J. Hwang, “UAV-enabled Wireless Backhaul Networks using Non-Orthogonal Multiple Access,” IEEE Access, vol. 9, pp. 36689-36698, Feb. 2021.

  70. S. Bhattacharya, P. K. R. Maddikunta, Q.-V. Pham, T. R. Gadekallu, S. R. Krishnan S, C. L. Chowdhary, M. Alazab, and M. J. Piran, “Deep Learning and Medical Image Processing for Coronavirus (COVID-19) Pandemic: A Survey,” Sustainable Cities and Society, vol. 65, pp. 102589, Feb. 2021.

  71. F. Figueiredo, M. Facina, R. Ferreira, R. Ruby, Q.-V. Pham, and G. Fraidenraich, “Large Intelligent Surfaces with Discrete Set of Phase-Shifts Communicating Through Double-Rayleigh Fading Channels,” IEEE Access, vol. 9, pp. 20768-20787, Jan. 2021.

  72. L. N. T. Huynh, Q.-V. Pham, T. D. T. Nguyen, M. D. Hossain, Y.-R. Shin, and E.-N. Huh, “Joint Computational Offloading and Data-Content Caching in NOMA-MEC Networks,” IEEE Access, vol. 9, pp. 12943-12954, Jan. 2021.

  73. T.-T. Nguyen, V.-D. Nguyen, Q.-V. Pham, and J.-H. Lee, and Y.-H. Kim, “Resource Allocation for AF Relaying Wireless-powered Networks with Nonlinear Energy Harvester,” IEEE Communications Letters, vol. 25, no. 1, pp. 229-233, Jan. 2021.

  74. J. Tu, H. Chen, J. Liu, A. A. Heidari, X. Zhang, M. Wang, R. Ruby, and Q.-V. Pham, “Evolutionary Biogeography-based Whale Optimization Methods with Communication Structure: Towards Measuring the Balance,” Knowledge-based Systems, vol. 212, pp. 106642, Jan. 2021.

  75. M. J. Piran, Q.-V. Pham, S. M. R. Islam, S. Cho, B. Bae, D.-Y. Suh, and Z. Han, “Multimedia Communication over Cognitive Radio Networks from QoS/QoE Perspective: A Comprehensive Survey,” Journal of Network and Computer Applications, vol. 172, no. 10, pp. 102759, Dec. 2020.

  76. T.-T. Nguyen, Q.-V. Pham, V.-D. Nguyen, J.-H. Lee, and Y.-H. Kim, “Resource Allocation for Energy Efficiency in OFDMA-Enabled WPCN,” IEEE Wireless Communications Letters, vol. 9, no. 12, pp. 2049-2053, Dec. 2020.

  77. F. Fang, Y. Xu, Q.-V. Pham, and Z. Ding, “Energy-Efficient Design of IRS-NOMA Networks,” IEEE Transactions on Vehicular Technology, vol. 69, no. 11, pp. 14088-14092, Nov. 2020.

  78. Huong-Giang T. Pham, Q.-V. Pham, A. T. Pham, and C. T. Nguyen, “Joint Task Offloading and Resource Management in NOMA-based MEC Systems: A Swarm Intelligence Approach,” IEEE Access, vol. 8, pp. 190463-190474, Oct. 2020.

  79. Q.-V. Pham, T. Huynh-The, M. Alazab, J. Zhao, and W.-J. Hwang, “Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning,” IEEE Internet of Things Journal, vol. 7, no. 10, pp. 10375-10387, Oct. 2020. MATLAB code

  80. Q.-V. Pham, D. C. Nguyen, T. Huynh-The, W.-J. Hwang, and P. N. Pathirana, “Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts,” IEEE Access, vol. 8, pp. 130820 -130839, Jul. 2020.

  81. R. Vinayakumar, M. Alazab, S. Srinivasan, Q.-V. Pham, S. K. Padannayil, and K. Simran, “A Visualized Botnet Detection System based Deep Learning for the Internet of Things Networks of Smart Cities,” IEEE Transactions on Industry Applications, vol. 56, no. 4, pp. 4436-4456, Jul.-Aug. 2020.

  82. Q.-V. Pham, F. Fang, V. N. Ha, M. J. Piran, M. Le, L. B. Le, W.-J. Hwang, and Z. Ding, “A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art,” IEEE Access, vol. 8, pp. 116974-117017, Jun. 2020.

  83. N. Maurice, Q.-V. Pham, and W.-J. Hwang, “Online Computation Offloading in NOMA-based Multi-Access Edge Computing: A Deep Reinforcement Learning Approach,” IEEE Access, vol. 8, pp. 99098-99109, May 2020.

  84. Q.-V. Pham, S. Mirjalili, N. Kumar, M. Alazab, and W.-J. Hwang, “Whale Optimization Algorithm with Applications to Resource Allocation in Wireless Networks,” IEEE Transactions on Vehicular Technology, vol. 69, no. 4, pp. 4285-4297, Apr. 2020. MATLAB code

  85. T. Huynh-The, C.-H. Hua, Q.-V. Pham, and D.-S. Kim, “MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification,” IEEE Communications Letters, vol. 24, no. 4, pp. 811-815, Apr. 2020. MATLAB code

  86. Q.-V. Pham, Hoang T. Nguyen, Z. Han, and W.-J. Hwang, “Coalitional Games for Computation Offloading in NOMA-Enabled Multi-Access Edge Computing,” IEEE Transactions on Vehicular Technology, vol. 69, no. 2, pp. 1982-1993, Feb. 2020.

  87. G. G. Girmay, Q.-V. Pham, and W.-J. Hwang, “Joint Channel and Power Allocation for D2D on Licensed and Unlicensed Band,” IEEE Access, vol. 7, pp. 22196-22205, Feb. 2019.

  88. Q.-V. Pham, L. B. Le, S.-H. Chung, and W.-J. Hwang, “Mobile Edge Computing with Wireless Backhaul: Joint Task Offloading and Computation Resource,” IEEE Access, vol. 7, pp. 16444-16459, Jan. 2019.

  89. Q.-V. Pham, T. LeAnh, N. H. Tran, B. J. Park, and C. S. Hong, “Decentralized Computation Offloading and Resource Allocation for Mobile-Edge Computing: A Matching Game Approach,” IEEE Access, vol. 6, pp. 75 868–75 885, Nov. 2018.

  90. Q.-V. Pham and W.-J. Hwang, “Energy-Efficient Power Control for Uplink Spectrum-Sharing Heterogeneous Networks,” International Journal of Communication Systems, vol. 31, no. 14, pp. e3717, Jul. 2018.

  91. Q.-V. Pham and W.-J. Hwang, “alpha-Fairness Resource Allocation in Non-Orthogonal Multiple Access Systems,” IET Communications, vol. 12, no. 2, pp. 179-183, Jan. 2018.

  92. Q.-V. Pham and W.-J. Hwang, “Fairness-Aware Spectral and Energy Efficiency in Spectrum-Sharing Wireless Networks,” IEEE Transactions on Vehicular Technology, vol. 66, no. 11, pp. 10207-10219, Nov. 2017.

  93. Q.-V. Pham and W.-J. Hwang, “Network Utility Maximization based Congestion Control over Wireless Networks: A Survey and Potential Directives,” IEEE Communications Surveys & Tutorials, vol. 19, no. 2, pp. 1173-1200, Second Quarter 2017.

  94. Q.-V. Pham and W.-J. Hwang, “Network Utility Maximization in Multipath Lossy Wireless Networks,” International Journal of Communication Systems, vol. 30. no. 5, pp.1-18, Mar. 2017.

  95. F. Boabang, H. Nguyen, Q.-V. Pham, and W.-J. Hwang, “Network-assisted Distributed Fairness-aware Interference Coordination for Device to Device Communication Underlaid Cellular networks,” Mobile Information Systems, vol. 2017, pp. 1-11, 2017.

  96. Q.-V. Pham and W.-J. Hwang, “Resource Allocation for Heterogeneous Traffic in Complex Communication Networks,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 63, no. 10, pp. 959-963, Oct. 2016.

  97. Q.-V. Pham, H.-L. To, and W.-J. Hwang, “A Multi-Timescale Cross-Layer Approach for Wireless Ad Hoc Networks,” Computer Networks, vol. 18, pp. 471-482, Sep. 2015.

Conferences

  1. T.-H. Vu, Q.-V. Pham, D. B. da Costa, and S. Kim, “Performance Analysis of RSMA-aided UAV-to-Ground Communications,” in IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023.

  2. Z. Zhao, Z. Yang, Q.-V. Pham, Q. Yang, and Z. Zhang, “Semantic Communication with Probability Graph: A Joint Communication and Computation Design,” in IEEE 98th Vehicular Technology Conference: VTC2023-Fall, Hong Kong, Oct. 2023.

  3. T. Huynh-The, Q.-V. Pham, T.-H. Vu, D. B. da Costa, and V.-P. Hoang, “Intelligent Spectrum Sensing with ConvNet for 5G and LTE Signals Identification,” in IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, Jul. 2023.

  4. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, D. B. da Costa, and V.-P. Hoang, “An Efficient Deep Network for Modulation Classification in Impaired MIMO-OFDM Systems,” in IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, Jul. 2023.

  5. T.-H. Vu, K.-T. Nguyen, Q.-V. Pham, T. Huynh-The, D. B. da Costa, V. N. Q. Bao, and S. Kim, “Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model,” in IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, Jul. 2023.

  6. T. T. Nguyen, C. M. Nguyen, T. Huynh-The, Q.-V. Pham, Q. V. H. Nguyen, I. Razzak, and V. J. Reddi, “Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules,” in International Conference on Computational Science (ICCS), Prague, Czech Republic, Jul. 2023.

  7. T.-H. Vu, Q.-V. Pham, D. B. da Costa, M. Debbah, and S. Kim, “Physical-Layer Security in Short-Packet NOMA Systems with Untrusted Near User,” in IEEE International Conference on Communications (ICC), Rome, Italy, May 2023.

  8. M.-D. Nguyen, X.-T. Nguyen, H.-S. Luong, Q.-V. Pham, Q. V. Do, and W.-J. Hwang, “FFD: A Full-Stack Federated Distillation method for Heterogeneous Massive IoT Networks,” in IEEE International Conference on Advanced Technology for Communications (ATC), Hanoi, Vietnam, Oct. 2022.

  9. M.-D. Nguyen, Q.-V. Pham, M. Le, and W.-J. Hwang, “Semantic Graph Multi-agent Reinforcement Learning,” in International Conference on Multimedia Information Technology and Applications (MITA), Jeju Island, Korea, Jul. 2022.

  10. S.-M. Lee, Q.-V. Pham, M.-D. Nguyen, and W.-J. Hwang, “Model Parameter Compression Scheme using Dimension Reduction in Federated Learning,” in International Conference on Multimedia Information Technology and Applications (MITA), Jeju Island, Korea, Jul. 2022.

  11. Q.-V. Pham, M. Le, T. Huynh-The, Z. Han, and W.-J. Hwang, “UAV-enabled Wireless Powered Communication for Energy-Efficient Federated Learning,” in IEEE International Conference on Communications (ICC), Seoul, Korea, May 2022.

  12. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, D. B. da Costa, and D.-S. Kim, “RaComNet: High-Performance Deep Network for Waveform Recognition in Coexistence Radar-Communication Systems,” in IEEE International Conference on Communications (ICC), Seoul, Korea, May 2022.

  13. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, D. B. da Costa, and D.-S. Kim, “Automatic Modulation Classification with Low-Cost Attention Network for Impaired OFDM Signals,” in IEEE Wireless Communications and Networking Conference (WCNC), Austin, TX, USA, Apr. 2022.

  14. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, V.-S. Doan, N. T. Nguyen, D. B. da Costa, and D.-S. Kim, “Densely-Accumulated Convolutional Network for Accurate LPI Radar Waveform Recognition,” in IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, Dec. 2021.

  15. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, X.-Q. Pham, and D.-S. Kim, “Deep Learning-based Automatic Modulation Classification for Wireless OFDM Communications,” in IEEE International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea, Oct. 2021.

  16. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, and D.-S. Kim, “Deep Learning for Coexistence Radar-Communication Waveform Recognition,” in IEEE International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea, Oct. 2021.

  17. R. Ruby, H. Yang, Q.-V. Pham, and K. Wu, “Delay Performance of UAV-Based Buffer-Aided Relay Networks under Bursty Traffic: Mobile or Static?,” in 22nd IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Pisa, Italy, Jun. 2021.

  18. H. Xu, G. Zhang, J. Zhao, and Q.-V. Pham, “Intelligent reflecting surface aided wireless networks: Harris Hawks optimization for beamforming design,” in IEEE 6th International Conference on Computer and Communications (ICCC), Sichuan, China, Dec. 2020.

  19. V.-S. Doan, T. Huynh-The, C.-H. Hua, Q.-V. Pham, and D.-S. Kim, “Chain-Net: Learning Deep Model for Modulation Classification Under Synthetic Channel Impairment,” in IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2020.

  20. T. Huynh-The, V.-S. Doan, C.-H. Hua, Q.-V. Pham, and D.-S. Kim, “Learning Constellation Map with Deep CNN for Accurate Modulation Recognition,” in IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2020.

  21. R. Ruby, K. Wu, Q.-V. Pham, and B. M. Elhalawany, “Aiding a Disaster Spot via an UAV-Based Mobile AF Relay: Joint Trajectory and Power Optimization,” in ACM International Symposium on Mobility Management and Wireless Access (MobiWac), Alicante, Spain, Nov. 2020.

  22. T. Huynh-The, C.-H. Hua, V.-S. Doan, Q.-V. Pham, T.-V. Nguyen, and D.-S. Kim, “Deep Learning for Constellation-based Modulation Classification under Multipath Fading Channels,” in IEEE International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea, Oct. 2020.

  23. I. Budhiraja, N. Kumar, S. Tyagi, Q.-V. Pham, and S. Tanwar, “Energy Efficient Mode Selection Scheme for Wireless Powered D2D Communications with NOMA Underlaying UAV,” in IEEE Conference on Computer Communications (INFOCOM), Toronto, Canada, Jul. 2020.

  24. H. Han, J. Zhao, D. Niyato, M. D. Renzo, and Q.-V. Pham, “Intelligent Reflecting Surface Aided Network: Power Control for Physical-Layer Broadcasting,” in IEEE International Conference on Communications (ICC), Dublin, Ireland, Jun. 2020.

  25. L. N. T. Huynh, Q.-V. Pham, T. D. T. Nguyen, M. D. Hossain, J. H. Park, and E.-N. Huh, “A Study on Computation Offloading in MEC Systems using Whale Optimization Algorithm,” in International Conference on Ubiquitous Information Management and Communication (IMCOM), Taichung, Taiwan, 2020.

  26. I. Nadia, Q.-V. Pham, and W.-J. Hwang, “Resource Management in NOMA-based Unmanned Aerial Vehicles Wireless Backhaul Networks,” in Korea-Japan Joint Workshop on Complex Communication Sciences (KJCCS2020), Hiroshima, Japan, Jan. 2020.

  27. H.-T. Hoang, W.-J. Hwang, and Q.-V. Pham, “Improved S-Shaped Transfer Function for Binary Whale Optimization Algorithm,” in International Conference on Multimedia Information Technology and Applications (MITA), Ho Chi Minh city, Vietnam, Jul. 2019.

  28. H. N. T. Luan, Q.-V. Pham, Q. D. Nguyen, X.-Q. Pham, V. D. Nguyen, and E.-N. Huh, “Energy Efficient Computation Offloading with Multi-MEC Servers in 5G two-tier Heterogeneous Networks,” in International Conference on Ubiquitous Information Management and Communication (IMCOM), Phuket Thailand, Jan. 2019.

  29. Q.-V. Pham and W.-J. Hwang, “Fair and Energy-Efficient Power Control in Spectrum-Sharing Wireless Networks,” in International Conference on Multimedia Information Technology and Applications (MITA), Luang Prabang, Laos, Jun. 2016.

  30. Q.-V. Pham and W.-J. Hwang, “Outage Constrained Resource Allocation for Energy Efficiency in Coordinated Multicell OFDMA Networks,” in Japan-Korea Joint Workshop on Complex Communication Sciences (JKCCS2016), Busan, Korea, Oct. 2016.

  31. Q.-V. Pham, M. Hasegawa, and W.-J. Hwang, “An Energy-Efficient Resource Allocation in Ad Hoc Networks,” in Korea-Japan Joint Workshop on Complex Communication Sciences (KJCCS2016), Nozawa Onsen, Japan, Jan. 2016.

Theses

  1. Q.-V. Pham, “Fair and Energy-Efficient Resource Allocation Optimization in Wireless Networks,” PhD Thesis, Inje University, Aug. 2017. Best PhD Award, Ranking #1 in Engineering

  2. Q.-V. Pham, “Multi-Timescale Cross-Layer Design in Wireless Multihop Networks,” MSc Thesis, Inje University, Aug. 2015.

  3. Q.-V. Pham, “Building an Observational Data Processing and Archiving Center for Automatic Water Level Gathering and Alarming System,” (in Vietnamese), BSc Thesis, Hanoi University of Science and Technology, Aug. 2013.