Publications

SCI(E) Journals

P. Tam and S. Kim, "Graph-Based Deep Reinforcement Learning in Edge Cloud Virtualized O-RAN for Sharing Collaborative Learning Workloads," IEEE Transactions on Network Science and Engineering, Nov. 2024. doi: 10.1109/TNSE.2024.3495583.
P. Tam, S. Math, and S. Kim, "Optimized Multi-Service Tasks Offloading for Federated Learning in Edge Virtualization," IEEE Transactions on Network Science and Engineering, vol. 9, no. 6, pp. 4363-4378, 1 Nov.-Dec. 2022. https://doi.org/10.1109/TNSE.2022.3200057
P. Tam, S. Math, C. Nam, and S. Kim, "Adaptive Resource Optimized Edge Federated Learning in Real-Time Image Sensing Classifications," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 10929-10940, 2021. https://doi.org/10.1109/JSTARS.2021.3120724
P. Tam, I. Song, S. Kang, S. Ros, and S. Kim, "Graph Neural Networks for Intelligent Modelling in Network Management and Orchestration: A Survey on Communications," Electronics, vol. 11, no. 20, p. 3371, 2022. https://doi.org/10.3390/electronics11203371
P. Tam, S. Kang, S. Ros, I. Song, and S. Kim, "Large-Scale Service Function Chaining Management and Orchestration in Smart City," Electronics, vol. 12, no. 19, p. 4018, 2023.https://doi.org/10.3390/electronics12194018
S. Math, P. Tam, and S. Kim, "Reliable Federated Learning Systems Based on Intelligent Resource Sharing Scheme for Big Data Internet of Things," IEEE Access, vol. 9, pp. 108091-108100, 2021. https://doi.org/10.1109/ACCESS.2021.3101871
P. Tam, S. Kang, S. Ros, and S. Kim, "Enhancing QoS with LSTM-Based Prediction for Congestion-Aware Aggregation Scheduling in Edge Federated Learning," Electronics, vol. 12, no. 17, p. 3615, 2023. https://doi.org/10.3390/electronics12173615
I. Song, P. Tam, S. Kang, S. Ros, and S. Kim, "DRL-Based Backbone SDN Control Methods in UAV-Assisted Networks for Computational Resource Efficiency," Electronics, vol. 12, no. 13, pp. 2984, 2023. https://doi.org/10.3390/electronics12132984
P. Tam, R. Corrado, C. Eang, and S. Kim, "Applicability of Deep Reinforcement Learning for Efficient Federated Learning in Massive IoT Communications," Applied Sciences, vol. 13, no. 5, p. 3083, 2023. https://doi.org/10.3390/app13053083
P. Tam, S. Math, and S. Kim, "Adaptive partial task offloading and virtual resource placement in SDN/NFV-based network softwarization," Computer Systems Science and Engineering, vol. 45, no.2, pp. 2141–2154, 2023. https://doi.org/10.32604/csse.2023.030984
C. Nam, S. Mat, P. Tam, and S. Kim, "Intelligent resource allocations for software-defined mission-critical IoT services," Computers, Materials & Continua, vol. 73, no.2, pp. 4087–4102, 2022. https://doi.org/10.32604/cmc.2022.030575
P. Tam, S. Math, and S. Kim, "Priority-Aware Resource Management for Adaptive Service Function Chaining in Real-Time Intelligent IoT Services," Electronics, vol. 11, no. 19, p. 2976, 2022. https://doi.org/10.3390/electronics11192976
S. Math, P. Tam, and S. Kim, "Proactive Network Fault Management for Reliable Subscribed Network Slicing in Software-Defined Mobile Data IoT Services," Scientific Programming, vol. 2022, article ID 8774190, May 24, 2022. https://doi.org/10.1155/2022/8774190
P. Tam, S. Math, A. Lee, and S. Kim, "Multi-agent deep q-networks for efficient edge federated learning communications in software-defined IoT," Computers, Materials & Continua, vol. 71, no. 2, pp. 3319–3335, 2022. https://doi.org/10.32604/cmc.2022.023215
S. Math, P. Tam, and S. Kim, "Intelligent real-time IoT traffic steering in 5G edge networks," Computers, Materials & Continua, vol. 67, no.3, pp. 3433–3450, 2021. https://doi.org/10.32604/cmc.2021.015490
S. Math, P. Tam, and S. Kim, "Intelligent Media Forensics and Traffic Handling Scheme in 5G Edge Networks," Security and Communication Networks, vol. 2021, article ID 5589352, Apr. 21, 2021. https://doi.org/10.1155/2021/5589352
P. Tam, S. Math, S. Kim, "Intelligent Massive Traffic Handling Scheme in 5G Bottleneck Backhaul Networks," KSII Transactions on Internet and Information Systems, vol. 15, no. 3, pp. 874-890, 2021. https://doi.org/10.3837/tiis.2021.03.004
S. Math, P. Tam, A. Lee, and S. Kim, "A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing," Personal and Ubiquitous Computing, vol. 27, pp. 1065-1075, 2020. https://doi.org/10.1007/s00779-020-01449-5

KCI/Scopus Journals and Domestic/International Conferences

P. Tam, I. Song, S. Kang, and S. Kim, "Privacy-Aware Intelligent Healthcare Services with Federated Learning Architecture and Reinforcement Learning Agent," in Advances in Computer Science and Ubiquitous Computing, J.S. Park, L.T. Yang, Y. Pan, and J.H. Park, Eds., vol. 1028, Springer, Singapore, 2023, https://doi.org/10.1007/978-981-99-1252-0_78
S. Ros, C. Eang, P. Tam, and S. Kim, "ML/SDN-Based MEC Resource Management for QoS Assurances," in Advances in Computer Science and Ubiquitous Computing, J.S. Park, L.T. Yang, Y. Pan, and J.H. Park, Eds., vol. 1028, Springer, Singapore, 2023, https://doi.org/10.1007/978-981-99-1252-0_79
S. Ros, P. Tam, and S. Kim, "Modified Deep Reinforcement Learning Agent for Dynamic Resource Placement in IoT Network Slicing," Journal of Internet Computing and Services, vol. 23, no. 5, pp. 17-23, 2022. https://doi.org/10.7472/jksii.2022.23.5.17
S. Math, P. Tam, and S. Kim, "A Lightweight Software-Defined Routing Scheme for 5G URLLC in Bottleneck Networks," Journal of Internet Computing and Services, vol. 23, no. 2, pp. 1-7, 2022. https://doi.org/10.7472/jksii.2022.23.2.1
P. Tam, S. Math, and S. Kim, “Deep Neural Network-Based Critical Packet Inspection for Improving Traffic Steering in Software-Defined IoT,” Journal of Internet Computing and Services, vol. 22, no. 6, pp. 1–8, Dec. 2021. https://doi.org/10.7472/jksii.2021.22.6.1
P. Tam, S. Math, and S. Kim, “Efficient Resource Slicing Scheme for Optimizing Federated Learning Communications in Software-Defined IoT Networks,” Journal of Internet Computing and Services, vol. 22, no. 5, pp. 27–33, Oct. 2021. https://doi.org/10.7472/jksii.2021.22.5.27
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