Dr. Viet Pham
Assistant Professor, Computer Science
Biography
Dr. Viet Quoc Pham received the Ph.D. degree in telecommunications engineering from Inje University, Korea, in 2017. He is currently an Assistant Professor in Networks and Distributed Systems with the School of Computer Science and Statistics, Trinity College Dublin, Ireland. He is also a Supervisor with the ADVANCE CRT centre and an Associate Investigator at the CONNECT centre, Ireland. Prior to joining TCD, he was in various academic positions with Kyung Hee University, Changwon National University, and Pusan National University.
He specialises in applying convex optimisation, game theory, and machine learning to analyse and optimise cloud edge computing, wireless networks, and IoT systems. Specifically, his research focuses on three main thrusts, including computing (e.g., edge computing, aerial computing, edge of things, and edge AI), intelligence (e.g., wireless AI and federated learning), and networking (e.g., 6G wireless, IoT, intelligent surfaces, metaverse, and blockchain). He was a recipient of the IEEE TVT Top Reviewer Award in 2020, Golden Globe Award in Science and Technology for Vietnam Young Researchers in 2021, IEEE ATC Best Paper Award in 2022, and IEEE MCE Best Paper Award in 2023, IEEE M-COMSTD Exemplary Editor Award in 2024, and Clarivate Highly Cited Researcher Award in 2024. He was honoured with the IEEE ComSoc Best Young Researcher Award for EMEA 2023 in recognition of his research activities for the benefit of the Society.
He was the Lead Guest Editor of the IEEE Internet of Things Journal special issue on Aerial Computing for the Internet of Things. He currently serves as an Editor of IEEE Communications Letters, IEEE Communications Standards Magazine, IEEE Communications Surveys & Tutorials, Journal of Network and Computer Applications, IEEE Transactions on Mobile Computing, and IEEE Transactions on Network Science and Engineering. He is a senior member of the IEEE, IEEE Communications Society, and IEEE Vehicular Technology Society.
Publications and Further Research Outputs
Peer-Reviewed Publications
MohammadHossein Alishahi, Paul Fortier, Ming Zeng, Thien Huynh-The, Xingwang Li, Quoc-Viet Pham, Latency Minimization for STAR-RIS aided Federated Learning Networks With Wireless Power Transfer, IEEE Internet of Things Journal, 12, (7), 2025, p8508 - 8522
Trong-Binh Nguyen, Minh-Duong Nguyen, Jinsun Park, Won Joo Hwang, and Quoc-Viet Pham, Federated Domain Generalization with Data-free On-server Training via Pareto Optimality, International Conference on Learning Representations (ICLR), Singapore, Apr., 2025
Van-Tuan Tran, Le Huy Khiem, Quoc-Viet Pham, Revisiting Sparse Mixture of Experts for Resource-adaptive Federated Fine-tuning Foundation Models, ICLR Workshop on Modularity for Collaborative, Decentralized, and Continual Deep Learning (MCDC @ ICLR), Singapore, 2025
Linh T. Nguyen, Quoc-Viet Pham, A Critical Learning Period-Aware Incentive Mechanism for Federated Learning, IEEE 101st Vehicular Technology Conference: VTC2025-Spring, Oslo, Norway, 2025
Thai-Hoc Vu, Daniel Benevides Da Costa, Sunghwan Kim, Quoc-Viet Pham, Outage, Capacity, and Error Performance of Downlink RSMA-based Systems: Analysis and Resource Optimization, IEEE Transactions on Communications, 2025
Jiahui Zhao, Ming Chen, Zhaohui Yang, Quoc-Viet Pham, Sustainable Federated Learning with Mobile Crowdsensing: A DRL Approach for Learning Efficiency Maximization, IEEE International Conference on Communications (ICC), Montreal, Canada, 2025
Bui Duc Manh, Chi-Hieu Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Ming Zeng, Quoc-Viet Pham, Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption, IEEE Internet of Things Journal, 2025
Seon-Geun Jeong, Pham Dang Anh Duc, Quang Vinh Do, Dae-Il Noh, Nguyen Xuan Tung, Trinh Van Chien, Quoc-Viet Pham, Mikio Hasegawa, Hiroo Sekiya, Won-Joo Hwang, Quantum Annealing-Based Sum Rate Maximization for Multi-UAV-Aided Wireless Networks, IEEE Internet of Things Journal, 2025
Thien Huynh-The, Gia-Vuong Nguyen, Thai-Hoc Vu, Daniel Benevides da Costa, Quoc-Viet Pham, SRNet: Deep Semantic Segmentation Network for Spectrum Sensing in Wireless Communications, IEEE Wireless Communications Letters, 14, (2), 2025, p355 - 359
Huu-Tai Nguyen, Hai-Trang Phuoc Dang, Quoc-Viet Pham, Thien Huynh-The, Resolution-Preserving Multi-Scale Network for 5G-LTE Spectrogram-Based Spectrum Sensing, IEEE Wireless Communications Letters, 2025
Quang Vinh Do, Quoc-Viet Pham, Zhaohui Yang, Won-Joo Hwang, Learning-Based QoE Optimization for Green Edge Computing Networks with Aerial Servers, IEEE Transactions on Green Communications and Networking, 2024
Minh Ngoc Luu, Minh-Duong Nguyen, Van Duc Nguyen, Quoc-Viet Pham, Empowering Federated Learning with DDPG for Energy Efficiency in Communication Networks, IEEE International Conference on Communications and Electronics (ICCE), Danang, Vietnam, IEEE, 2024, pp607-612
Thien-Thanh Dao, Dae-Il Noh, Quoc-Viet Pham, Mikio Hasegawa, Hiroo Sekiya, Won-Joo Hwang, VT-MCNet: High-Accuracy Automatic Modulation Classification Model based on Vision Transformer, IEEE Communications Letters, 28, (1), 2024, p98 - 102
Thai-Hoc Vu, Quoc-Viet Pham, and Sunghwan Kim, THz-based Rate-Splitting Multiple-Access (RSMA): Is It Always Better Than NOMA?, IEEE Transactions on Vehicular Technology, 73, (3), 2024, p4435 - 4440
Prabadevi Boopathy, Madhusanka Liyanage, Natarajan Deepa, Mounik Velavali, Shivani Reddy, Praveen Kumar Reddy Maddikunta, Neelu Khare, Thippa Reddy Gadekallu, Won-Joo Hwang, Quoc-Viet Pham, Deep learning for intelligent demand response and smart grids: A comprehensive survey, Computer Science Review, 51, 2024, p100617
Mengyan Huang, Fengkui Gong, Guo Li, Nan Zhang, Quoc-Viet Pham, Secure Precoding for Satellite NOMA-Aided Integrated Sensing and Communication, IEEE Internet of Things Journal, 11, (18), 2024, p29533 - 29545
Thai-Hoc Vu, Quoc-Viet Pham, Tien-Tung Nguyen, Daniel Benevides da Costa, Sunghwan Kim, Enhancing RIS-Aided Two-Way Full-Duplex Communication with Non-Orthogonal Multiple Access, IEEE Transactions on Vehicular Technology, 11, (1), 2024, p19963 - 19977
MohammadHossein Alishahi, Paul Fortier, Ming Zeng, Quoc-Viet Pham, Thien Huynh-The, Total Computational bits Maximization for STAR-RIS aided Wireless Power Transfer Mobile Edge Computing Networks: TDMA or NOMA?, IEEE Transactions on Vehicular Technology, 2024
Mai Le, Quang Vinh Do, Zhu Han, and Won-Joo Hwang, Quoc-Viet Pham, Resource Allocation in THz-NOMA-Enabled HAP Systems: A Deep Reinforcement Learning Approach, IEEE Transactions on Consumer Electronics, 2024
Yahao Ding, Zhaohui Yang, Quoc-Viet Pham, Ye Hu, Zhaoyang Zhang, Mohammad Shikh-Bahaei, Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics, IEEE Internet of Things Journal, 11, (5), 2024, p7447 - 7473
Dinh C. Nguyen, Quoc-Viet Pham, Seyyedali Hosseinalipour, Zehui Xiong, Tuan M. Hoang Trong, Yonina Eldar, Guest Editorial: Federated Learning for Industrial Internet of Things, IEEE Internet of Things Magazine, 7, (5), 2024, p12-13
Khoi Do, Minh-Duong Nguyen, Nguyen Tien Hoa, Long Tran-Thanh, Nguyen H. Tran, Quoc-Viet Pham, Revisiting LARS for Large Batch Training Generalization of Neural Networks, IEEE Transactions on Artificial Intelligence, 2024
Luan N. T. Huynh, Md. Delowar Hossain, Quoc-Viet Pham, Yan Kyaw Tun, Eui-Nam Huh, A Block-structured Optimization Approach for Data Sensing and Computing in Vehicle-assisted Edge Computing Networks, IEEE Sensors Journal, 24, (1), 2024, p952 - 961
Zhang, Bolun, Huynh, Nguyen Van, Hoang, Dinh Thai, Nguyen, Diep N., Pham, Quoc-Viet, DDPG-E2E: A Novel Policy Gradient Approach for End-to-End Communication Systems, IEEE Transactions on Cognitive Communications and Networking, 2024
MohammadHossein Alishahi, Paul Fortier, Ming Zeng, Quoc-Viet Pham, Xingwang Li, Energy Minimization for IRS-Aided Wireless Powered Federated Learning Networks With NOMA, IEEE Internet of Things Journal, 11, (9), 2024, p16339 - 16350
Minh-Duong Nguyen, Quang Vinh Do, Zhaohui Yang, Won-Joo Hwang, Quoc-Viet Pham, Distortion Resilience for Goal-Oriented Semantic Communication, IEEE Transactions on Mobile Computing, 2024
Thien Huynh-The, Nguyen Cong Luong, Hoc Phan, Daniel Benevides da Costa, Quoc-Viet Pham, Improved Waveform Classification for Integrated Radar-Communication 6G Systems via Convolutional Neural Networks, IEEE Transactions on Vehicular Technology, 73, (9), 2024, p13921 - 13925
Prabadevi Boopathy, Natarajan Deepa, Praveen Kumar Reddy Maddikunta, Nancy Victor, Thippa Reddy Gadekallu, Gokul Yenduri, Wei Wang, Quoc-Viet Pham, Thien Huynh-The, Madhusanka Liyanage, The Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges, IEEE Open Journal of the Computer Society, 2024
Nguyen Cong Luong, Thien Huynh-The, Van-Dinh Nguyen, Derrick Wing Kwan Ng, Symeon Chatzinotas, Dusit Niyato, Quoc-Viet Pham, Incentive Mechanism and Semantic Communication for Edge Computing-assisted Metaverse, IEEE Network, 38, (3), 2024, p277 - 284
Vu, Thai-Hoc, Jagatheesaperumal, Senthil Kumar, Nguyen, Minh-Duong, Huynh, Nguyen Van, Kim, Sunghwan, Pham, Quoc-Viet, Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey, IEEE Internet of Things Journal, 2024
Zhouxiang Zhao, Zhaohui Yang, Xu Gan, Quoc-Viet Pham, Chongwen Huang, Wei Xu, Zhaoyang Zhang, A joint communication and computation design for semantic wireless communication with probability graph, Journal of the Franklin Institute, 2024, p107055
Ons Aouedi, Thai-Hoc Vu, Alessio Sacco, Dinh C. Nguyen, Kandaraj Piamrat, Guido Marchetto, Quoc-Viet Pham, A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions, IEEE Communications Surveys & Tutorials, 2024, p1-1
Mai Le, Thien Huynh-The, Tan Do-Duy, Thai-Hoc Vu, Won-Joo Hwang, Quoc-Viet Pham, Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey, IEEE Communications Surveys & Tutorials, 2024, p1-1
Thai-Hoc Vu, Toan-Van Nguyen, Quoc-Viet Pham, Daniel Benevides da Costa, Sunghwan Kim, Hybrid Long- and Short-Packet Based NOMA Systems With Joint Power Allocation and Beamforming Design, IEEE Transactions on Vehicular Technology, 72, (3), 2023, p4079-4084
Thai-Hoc Vu, Toan-Van Nguyen, Quoc-Viet Pham, Daniel Benevides da Costa, Sunghwan Kim, Short-Packet Communications for UAV-Based NOMA Systems Under Imperfect CSI and SIC, IEEE Transactions on Cognitive Communications and Networking, 9, (2), 2023, p463-478
Quoc-Viet Pham, Ming Zeng, Octavia A. Dobre, Zhiguo Ding, Lingyang Song, Guest Editorial Special Issue on Aerial Computing for the Internet of Things (IoT), IEEE Internet of Things Journal, 10, (7), 2023, p5623-5625
AI and Computer Vision Technologies for Metaverse in, editor(s)Dinh Thai Hoang, Diep N. Nguyen, Cong T. Nguyen, Ekram Hossain, Dusit Niyato , Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches, Chapter 5, Wiley-IEEE Press, 2023, [Thien-Huynh The, Quoc-Viet Pham, Xuan-Qui Pham, Tan Do-Duy, Thippa Reddy Gadekallu]
Nam H. Chu, Diep N. Nguyen, Dinh Thai Hoang, Quoc-Viet Pham, Khoa T. Phan, Won-Joo Hwang, Eryk Dutkiewicz, AI-enabled mm-Waveform Configuration for Autonomous Vehicles with Integrated Communication and Sensing, IEEE Internet of Things Journal, 10, (19), 2023, p16727 - 16743
Weizheng Wang, Memon Hussain Fida, Zhuotao Lian, Zhimeng Yin, Quoc-Viet Pham, Thippa Reddy Gadekallu, Kapal Dev, Chunhua Su, Secure-Enhanced Federated Learning for AI-Empowered Electric Vehicle Energy Prediction, IEEE Consumer Electronics Magazine, 12, (2), 2023, p27-34
Blockchain for the Metaverse: State-of-the-Art and Applications in, editor(s)Dinh Thai Hoang, Diep N. Nguyen, Cong T. Nguyen, Ekram Hossain, Dusit Niyato , Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches, Chapter 7, Wiley-IEEE Press, 2023, [Pawan Kumar Hegde, Rajeswari Chengoden, Nancy Victor, Thien Huynh The, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Quoc-Viet Pham]
Thai-Hoc Vu, Tien-Tung Nguyen, Quoc-Viet Pham, Daniel Benevides da Costa, Sunghwan Kim, A Novel Partial Decode-and-Amplify NOMA-Inspired Relaying Protocol for Uplink Short-Packet Communications, IEEE Wireless Communications Letters, 12, (7), 2023, p1244 - 1248
Zhouxiang Zhao, Zhaohui Yang, Xu Gan, Quoc-Viet Pham, Chongwen Huang, Wei Xu, Zhaoyang Zhang, Semantic Communication with Probability Graph: A Joint Communication and Computation Design, IEEE 98th Vehicular Technology Conference: VTC2023-Fall, Hong Kong, 2023
Yuris Mulya Saputra, Diep N. Nguyen, Hoang Thai Dinh, Quoc-Viet Pham, Eryk Dutkiewicz, Won-Joo Hwang, Federated Learning Framework with Straggling Mitigation and Privacy-Awareness for AI-based Mobile Application Services, IEEE Transactions on Mobile Computing, 22, (9), 2023, p5296-5312
Ali Kashif Bashir, Nancy Victor, Sweta Bhattacharya, Thien Huynh-The, Rajeswari Chengoden, Gokul Yenduri, Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Thippa Reddy Gadekallu, Madhusanka Liyanage, Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions, IEEE Internet of Things Journal, 10, (24), 2023, p21873 - 21891
Thien Huynh-The, Toan-Van Nguyen, Quoc-Viet Pham, Daniel Benevides da Costa, Gi-Hyeob Kwon, Dong-Seong Kim, Efficient Convolutional Networks for Robust Automatic Modulation Classification in OFDM-Based Wireless Systems, IEEE Systems Journal, 17, (1), 2023, p964-975
Thai-Hoc Vu, Toan-Van Nguyen, Quoc-Viet Pham, Daniel Benevides da Costa, Sunghwan Kim, STAR-RIS-Enabled Short-Packet NOMA Systems, IEEE Transactions on Vehicular Technology, 72, (10), 2023, p13764 - 13769
Thanh Thi Nguyen, Cuong M. Nguyen, Thien Huynh-The, Quoc-Viet Pham, Quoc Viet Hung Nguyen, Imran Razzak, Vijay Janapa Reddi, Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules, International Conference on Computational Science, Prague, Czech Republic, 2023, pp298--305
Mai Le, Dinh Thai Hoang, Diep N. Nguyen, Won-Joo Hwang, Quoc-Viet Pham, Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation, IEEE Internet of Things Journal, 2023, p1-1
Thien Huynh-The, Quoc-Viet Pham, Thai-Hoc Vu, Daniel Benevides da Costa, Van-Phuc Hoang, Intelligent Spectrum Sensing with ConvNet for 5G and LTE Signals Identification, IEEE Statistical Signal Processing Workshop, Hanoi, Vietnam, 2023, pp130-134
Thien Huynh-The, Quoc-Viet Pham, Xuan-Qui Pham, Thanh Thi Nguyen, Zhu Han, Dong-Seong Kim, Artificial intelligence for the metaverse: A survey, Engineering Applications of Artificial Intelligence, 117, 2023, p105581
IRS-Empowered Wireless Communications in, editor(s)Faisal Tariq, Imran Shafique Ansari, Muhammad Khandaker , 6G Wireless: The Communication Paradigm Beyond 2030, Chapter 6, CRC Press, 2023, [Ming Zeng, Ebrahim Bedeer, Xingwang Li, Quoc-Viet Pham, Octavia A. Dobre, Paul Fortier, Leslie A. Rusch]
Thai-Hoc Vu, Quoc-Viet Pham, Daniel Benevides da Costa, Sunghwan Kim, Rate-Splitting Multiple Access-Assisted THz-Based Short-Packet Communications, IEEE Wireless Communications Letters, 12, (12), 2023, p2218 - 2222
The Emergence of Aerial Computing in, editor(s)Faisal Tariq, Imran Shafique Ansari, Muhammad Khandaker , 6G Wireless: The Communication Paradigm Beyond 2030, Chapter 2, CRC Press, 2023, [Quoc-Viet Pham, Ming Zeng, Zhaohui Yang, Zhiguo Ding, Won-Joo Hwang]
Thai-Hoc Vu, Khac-Tuan Nguyen, Quoc-Viet Pham, Thien Huynh-The, Daniel Benevides Da Costa, Vo Nguyen Quoc Bao, Sunghwan Kim, Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model, IEEE Statistical Signal Processing Workshop, Hanoi, Vietnam, 2023, pp135-139
Amit Samanta, Quoc-Viet Pham, Nhu-Ngoc Dao, Ammar Muthanna, Sungrae Cho, mISO: Incentivizing Demand-Agnostic Microservices for Edge-Enabled IoT Networks, IEEE Transactions on Services Computing, 16, (5), 2023, p3523 - p3536
Thien Huynh-The, Quoc-Viet Pham, Toan-Van Nguyen, Daniel Benevides Da Costa, Van-Phuc Hoang, An Efficient Deep Network for Modulation Classification in Impaired MIMO-OFDM Systems, IEEE Statistical Signal Processing Workshop, Hanoi, Vietnam, 2023, pp130-134
Xiangming Zhu, Hua Wang, Zhaohui Yang, Quoc-Viet Pham, Time-Division Based Integrated Sensing, Communication, and Computing in Integrated Satellite-Terrestrial Networks, Digital Signal Processing, 143, 2023, p104262
Nadia Iradukunda, Quoc-Viet Pham, Zhiguo Ding, Won-Joo Hwang, THz-Enabled UAV Communications using Non-Orthogonal Multiple Access, IEEE Transactions on Vehicular Technology, 72, (8), 2023, p10977 - 10981
Saeid Pakravan, Jean-Yves Chouinard, Xingwang Li, Ming Zeng, Wanming Hao, Quoc-Viet Pham, Octavia A. Dobre, Physical Layer Security for NOMA Systems: Requirements, Issues, and Recommendations, IEEE Internet of Things Journal, 10, (24), 2023, p21721 - 21737
Thai-Hoc Vu, Quoc-Viet Pham, Benevides da Costa, Merouane Debbah, Sunghwan Kim, Physical-Layer Security in Short-Packet NOMA Systems with Untrusted Near User, IEEE International Conference on Communications, Rome, Italy, 2023
Thai-Hoc Vu, Benevides da Costa, Quoc-Viet Pham, Sunghwan Kim, Performance Analysis of RSMA-aided UAV-to-Ground Communications, IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 4-8 Dec. 2023, 2023
Mamoun Alazab, Swarna Priya RM, Parimala M, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Quoc-Viet Pham, Federated Learning for Cybersecurity: Concepts, Challenges, and Future Directions, IEEE Transactions on Industrial Informatics, 18, (5), 2022, p3501--3509
Chamitha de Alwis, Quoc-Viet Pham, Madhusanka Liyanage, 6G Frontiers: Towards Future Wireless Systems, 1st edition, Wiley-IEEE Press, 2022
Thien Huynh-The, Quoc-Viet Pham, Toan-Van Nguyen, Thanh Thi Nguyen, Daniel Benevides da Costa, Dong-Seong Kim, RanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification, IEEE Wireless Communications Letters, 11, (6), 2022, p1243--1247
Madhusanka Liyanage, Quoc-Viet Pham, Kapal Dev, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Gokul Yenduri, A survey on Zero touch network and Service Management (ZSM) for 5G and beyond networks, Journal of Network and Computer Applications, 203, 2022, p103362
Thippa Reddy Gadekallu, Quoc-Viet Pham, Dinh C. Nguyen, Praveen Kumar Reddy Maddikunta, N. Deepa, B. Prabadevi, Pubudu N. Pathirana, Jun Zhao, Won-Joo Hwang, Blockchain for Edge of Things: Applications, Opportunities, and Challenges, IEEE Internet of Things Journal, 9, (2), 2022, p964--988
Gurkan Gur, Anshuman Kalla, Chamitha de Alwis, Quoc-Viet Pham, Khac-Hoang Ngo, Madhusanka Liyanage, Pawani 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, 2022
Ali Safaa Sadiq, Amin Abdollahi Dehkordi, Seyedali Mirjalili, Quoc-Viet Pham, Nonlinear marine predator algorithm: A cost-effective optimizer for fair power allocation in NOMA-VLC-B5G networks, Expert Systems with Applications, 2022
Quang Vinh Do, Quoc-Viet Pham, Won-Joo Hwang, Deep Reinforcement Learning for Energy-Efficient Federated Learning in UAV-Enabled Wireless Powered Networks, IEEE Communications Letters, 26, (1), 2022, p99--103
Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Prabadevi B, N Deepa, Kapal Dev, Thippa Reddy Gadekallu, Rukhsana Ruby, Madhusanka Liyanage, Industry 5.0: A survey on enabling technologies and potential applications, Journal of Industrial Information Integration, 26, 2022, p100257
Thien-Thanh Dao, Quoc-Viet Pham, Won-Joo Hwang, FastMDE: A Fast CNN Architecture for Monocular Depth Estimation at High Resolution, IEEE Access, 10, 2022, p16111--16122
Chamitha De Alwis, Pardeep Kumar, Quoc-Viet Pham, Kapal Dev, Anshuman Kalla, Madhusanka Liyanage, Won-Joo Hwang, Towards 6G: Key technological directions, ICT Express, 2022
Minh-Duong Nguyen, Sang-Min Lee, Quoc-Viet Pham, Dinh Thai Hoang, Diep N. Nguyen, Won-Joo Hwang, HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks, IEEE Transactions on Mobile Computing, 22, (11), 2022, p6495 - 6507
Cong T. Nguyen, Nguyen Van Huynh, Nam H. Chu, Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen, Quoc-Viet Pham, Dusit Niyato, Eryk Dutkiewicz, Won-Joo Hwang, Transfer Learning for Wireless Networks: A Comprehensive Survey, Proceedings of the IEEE, 110, (8), 2022, p1073--1115
Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Weizheng Wang, Quoc-Viet Pham, Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things, IEEE Transactions on Green Communications and Networking, 6, (3), 2022, p1316--1329
Mai Le, Quoc-Viet Pham, Hee-Cheol Kim, Won-Joo Hwang, Enhanced Resource Allocation in D2D Communications With NOMA and Unlicensed Spectrum, IEEE Systems Journal, 16, (2), 2022, p2856--2866
Rukhsana Ruby, Quoc-Viet Pham, Kaishun Wu, Ali Asghar Heidari, Huiling Chen, Basem M. ElHalawany, Enhancing Secrecy Performance of Cooperative NOMA-Based IoT Networks via Multiantenna-Aided Artificial Noise, IEEE Internet of Things Journal, 9, (7), 2022, p5108--5127
Quoc-Viet Pham, Rukhsana Ruby, Fang Fang, Dinh C. Nguyen, Zhaohui Yang, Mai Le, Zhiguo Ding, Won-Joo Hwang, Aerial Computing: A New Computing Paradigm, Applications, and Challenges, IEEE Internet of Things Journal, 9, (11), 2022, p8339--8363
Hailiang Yang, Rukhsana Ruby, Quoc-Viet Pham, Kaishun Wu, Aiding a Disaster Spot via Multi-UAV-Based IoT Networks: Energy and Mission Completion Time-Aware Trajectory Optimization, IEEE Internet of Things Journal, 9, (8), 2022, p5853--5867
Thien Huynh-The, Toan-Van Nguyen, Quoc-Viet Pham, Daniel Benevides da Costa, Dong-Seong Kim, MIMO-OFDM Modulation Classification Using Three-Dimensional Convolutional Network, IEEE Transactions on Vehicular Technology, 71, (6), 2022, p6738--6743
Quoc-Viet Pham, Dinh C. Nguyen, Seyedali Mirjalili, Dinh Thai Hoang, Diep N. Nguyen, Pubudu N. Pathirana, Won-Joo Hwang, Swarm intelligence for next-generation networks: Recent advances and applications, Journal of Network and Computer Applications, 191, 2021, p103141
Thien Huynh-The, Quoc-Viet Pham, Toan-Van Nguyen, Thanh Thi Nguyen, Rukhsana Ruby, Ming Zeng, Dong-Seong Kim, Automatic Modulation Classification: A Deep Architecture Survey, IEEE Access, 9, 2021, p142950--142971
Huimei Han, Jun Zhao, Wenchao Zhai, Zehui Xiong, Dusit Niyato, Marco Di Renzo, Quoc-Viet Pham, Weidang Lu, Kwok-Yan Lam, Reconfigurable Intelligent Surface Aided Power Control for Physical-Layer Broadcasting, IEEE Transactions on Communications, 69, (11), 2021, p7821--7836
Quoc-Viet Pham, Nhan Thanh Nguyen, Thien Huynh-The, Long Bao Le, Kyungchun Lee, Won-Joo Hwang, Intelligent Radio Signal Processing: A Survey, IEEE Access, 9, 2021, p83818--83850
Felipe A. P. de Figueiredo, Michelle S. P. Facina, Ricardo Coelho Ferreira, Yun Ai, Rukhsana Ruby, Quoc-Viet Pham, Gustavo Fraidenraich, Large Intelligent Surfaces With Discrete Set of Phase-Shifts Communicating Through Double-Rayleigh Fading Channels, IEEE Access, 9, 2021, p20768--20787
Lionel Nkenyereye, Jaeyoung Hwang, Quoc-Viet Pham, Jaeseung Song, Virtual IoT Service Slice Functions for Multiaccess Edge Computing Platform, IEEE Internet of Things Journal, 8, (14), 2021, p11233--11248
Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham, Pubudu N. Pathirana, Long Bao Le, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor, Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges, IEEE Internet of Things Journal, 8, (16), 2021, p12806--12825
Thien Huynh-The, Van-Sang Doan, Cam-Hao Hua, Quoc-Viet Pham, Toan-Van Nguyen, Dong-Seong Kim, Accurate LPI Radar Waveform Recognition With CWD-TFA for Deep Convolutional Network, IEEE Wireless Communications Letters, 10, (8), 2021, p1638--1642
Quoc-Viet Pham, Ming Zeng, Rukhsana Ruby, Thien Huynh-The, Won-Joo Hwang, UAV Communications for Sustainable Federated Learning, IEEE Transactions on Vehicular Technology, 70, (4), 2021, p3944--3948
Thien Huynh-The, Cam-Hao Hua, Van-Sang Doan, Quoc-Viet Pham, Dong-Seong Kim, Accurate Deep CNN-Based Waveform Recognition for Intelligent Radar Systems, IEEE Communications Letters, 25, (9), 2021, p2938--2942
Nhu-Ngoc Dao, Quoc-Viet Pham, Ngo Hoang Tu, Tran Thien Thanh, Vo Nguyen Quoc Bao, Demeke Shumeye Lakew, Sungrae Cho, Survey on Aerial Radio Access Networks: Toward a Comprehensive 6G Access Infrastructure, IEEE Communications Surveys & Tutorials, 23, (2), 2021, p1193--1225
Lionel Nkenyereye, Lewis Nkenyereye, Quoc-Viet Pham, JaeSeung Song, Efficient RSU Selection Scheme for Fog-Based Vehicular Software-Defined Network, IEEE Transactions on Vehicular Technology, 70, (11), 2021, p12126--12141
Ming Zeng, Ebrahim Bedeer, Octavia A. Dobre, Paul Fortier, Quoc-Viet Pham, Wanming Hao, Energy-Efficient Resource Allocation for IRS-Assisted Multi-Antenna Uplink Systems, IEEE Wireless Communications Letters, 10, (6), 2021, p1261--1265
Chamitha De Alwis, Anshuman Kalla, Quoc-Viet Pham, Pardeep Kumar, Kapal Dev, Won-Joo Hwang, Madhusanka Liyanage, Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research, IEEE Open Journal of the Communications Society, 2, 2021, p836--886
Luan N. T. Huynh, Quoc-Viet Pham, Tri D. T. Nguyen, Md. Delowar Hossain, Young-Rok Shin, Eui-Nam Huh, Joint Computational Offloading and Data-Content Caching in NOMA-MEC Networks, IEEE Access, 9, 2021, p12943--12954
Tien-Tung Nguyen, Van-Dinh Nguyen, Quoc-Viet Pham, Jong-Ho Lee, Yong-Hwa Kim, Resource Allocation for AF Relaying Wireless-Powered Networks With Nonlinear Energy Harvester, IEEE Communications Letters, 25, (1), 2021, p229--233
Quoc-Viet Pham, Nadia Iradukunda, Nguyen H. Tran, Won-Joo Hwang, Sang-Hwa Chung, Joint Placement, Power Control, and Spectrum Allocation for UAV Wireless Backhaul Networks, IEEE Networking Letters, 3, (2), 2021, p56--60
Nadia Iradukunda, Quoc-Viet Pham, Ming Zeng, Hee-Cheol Kim, Won-Joo Hwang, UAV-Enabled Wireless Backhaul Networks Using Non-Orthogonal Multiple Access, IEEE Access, 9, 2021, p36689--36698
Praveen Kumar Reddy Maddikunta, Saqib Hakak, Mamoun Alazab, Sweta Bhattacharya, Thippa Reddy Gadekallu, Wazir Zada Khan, Quoc-Viet Pham, Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges, IEEE Sensors Journal, 21, (16), 2021, p17608--17619
R. Lakshmana Kumar, Quoc-Viet Pham, Firoz Khan, Md. Jalil Piran, Kapal Dev, Blockchain for securing aerial communications: Potentials, solutions, and research directions, Physical Communication, 47, 2021, p101390
Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The, Won-Joo Hwang, Pubudu N. Pathirana, Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts, IEEE Access, 8, 2020, p130820--130839
Tien-Tung Nguyen, Quoc-Viet Pham, Van-Dinh Nguyen, Jong-Ho Lee, Yong-Hwa Kim, Resource Allocation for Energy Efficiency in OFDMA-Enabled WPCN, IEEE Wireless Communications Letters, 9, (12), 2020, p2049--2053
Quoc-Viet Pham, Fang Fang, Vu Nguyen Ha, Md. Jalil Piran, Mai Le, Long Bao Le, Won-Joo Hwang, Zhiguo Ding, A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art, IEEE Access, 8, 2020, p116974--117017
Quoc-Viet Pham, Hoang T. Nguyen, Zhu Han, Won-Joo Hwang, Coalitional Games for Computation Offloading in NOMA-Enabled Multi-Access Edge Computing, IEEE Transactions on Vehicular Technology, 69, (2), 2020, p1982--1993
Maurice Nduwayezu, Quoc-Viet Pham, Won-Joo Hwang, Online Computation Offloading in NOMA-Based Multi-Access Edge Computing: A Deep Reinforcement Learning Approach, IEEE Access, 8, 2020, p99098--99109
Thien Huynh-The, Cam-Hao Hua, Quoc-Viet Pham, Dong-Seong Kim, MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification, IEEE Communications Letters, 24, (4), 2020, p811--815
Quoc-Viet Pham, Thien Huynh-The, Mamoun Alazab, Jun Zhao, Won-Joo Hwang, Sum-Rate Maximization for UAV-Assisted Visible Light Communications Using NOMA: Swarm Intelligence Meets Machine Learning, IEEE Internet of Things Journal, 7, (10), 2020, p10375 - 10387
Mamoun Alazab, Suleman Khan, Somayaji Siva Rama Krishnan, Quoc-Viet Pham, M. Praveen Kumar Reddy, Thippa Reddy Gadekallu, A Multidirectional LSTM Model for Predicting the Stability of a Smart Grid, IEEE Access, 8, 2020, p85454--85463
R. Vinayakumar, Mamoun Alazab, Sriram Srinivasan, Quoc-Viet Pham, Soman Kotti Padannayil, K. Simran, A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities, IEEE Transactions on Industry Applications, 56, (4), 2020, p4436 - 445
Fang Fang, Yanqing Xu, Quoc-Viet Pham, Zhiguo Ding, Energy-Efficient Design of IRS-NOMA Networks, IEEE Transactions on Vehicular Technology, 69, (11), 2020, p14088--14092
Quoc-Viet Pham, Seyedali Mirjalili, Neeraj Kumar, Mamoun Alazab, Won-Joo Hwang, Whale Optimization Algorithm With Applications to Resource Allocation in Wireless Networks, IEEE Transactions on Vehicular Technology, 69, (4), 2020, p4285--4297
Mehdi Gheisari, Quoc-Viet Pham, Mamoun Alazab, Xiaobo Zhang, Christian Fernandez-Campusano, Gautam Srivastava, ECA: An Edge Computing Architecture for Privacy-Preserving in IoT-Based Smart City, IEEE Access, 7, 2019, p155779--155786
Quoc-Viet Pham, Long Bao Le, Sang-Hwa Chung, Won-Joo Hwang, Mobile Edge Computing With Wireless Backhaul: Joint Task Offloading and Resource Allocation, IEEE Access, 7, 2019, p16444--16459
Gebremariam Gebrelibanos Girmay, Quoc-Viet Pham, Won-Joo Hwang, Joint channel and Power Allocation for Device-to-Device Communication on Licensed and Unlicensed Band, IEEE Access, 7, 2019, p22196 - 22205
Quoc-Viet Pham, Won-Joo Hwang, alpha-Fair resource allocation in non-orthogonal multiple access systems, IET Communications, 12, (2), 2018, p179--183
Quoc-Viet Pham, Tuan Leanh, Nguyen H. Tran, Bang Ju Park, Choong Seon Hong, Decentralized Computation Offloading and Resource Allocation for Mobile-Edge Computing: A Matching Game Approach, IEEE Access, 6, 2018, p75868 - 75885
Quoc-Viet Pham, Won-Joo Hwang, Energy-efficient power control for uplink spectrum-sharing heterogeneous networks, International Journal of Communication Systems, 2018, pe3717
Quoc-Viet Pham, Won-Joo Hwang, Fairness-Aware Spectral and Energy Efficiency in Spectrum-Sharing Wireless Networks, IEEE Transactions on Vehicular Technology, 66, (11), 2017, p10207--10219
Quoc-Viet Pham, Won-Joo Hwang, Network Utility Maximization-Based Congestion Control Over Wireless Networks: A Survey and Potential Directives, IEEE Communications Surveys & Tutorials, 19, (2), 2017, p1173--1200
Quoc-Viet Pham, Won-Joo Hwang, Network utility maximization in multipath lossy wireless networks, International Journal of Communication Systems, 30, (5), 2017
Quoc-Viet Pham, Won-Joo Hwang, Resource Allocation for Heterogeneous Traffic in Complex Communication Networks, IEEE Transactions on Circuits and Systems II: Express Briefs, 63, (10), 2016, p959 - 963
Quoc-Viet Pham, Hoang-Linh To, Won-Joo Hwang, A multi-timescale cross-layer approach for wireless ad hoc networks, Computer Networks, 91, 2015, p471--482
Non-Peer-Reviewed Publications
Minh Ngoc Luu, Minh-Duong Nguyen, Ebrahim Bedeer, Van Duc Nguyen, Dinh Thai Hoang, Diep N Nguyen, Quoc-Viet Pham, Sample-Driven Federated Learning for Energy-Efficient and Real-Time IoT Sensing, arXiv preprint arXiv:2310.07497, 2023
Research Expertise
Description
Dr. Pham's research interest is based on inter-disciplined approaches for the practical design of complex and communication networks. Specifically, his research is motivated via three phases of modeling the network, analyzing the modeled network, and designing algorithms. The first two phases are based on the use of various mathematical tools such as convex optimization, game theory, and machine learning, whereas the third phase is to design robust, efficient, and scalable algorithms for efficient performance. Based on that vision, his research focuses on three main thrusts called COIN, including COmputing (e.g., cloud edge computing, aerial computing, edge of things, and edge AI), Intelligence (e.g., wireless AI, deep learning, deep reinforcement learning, and federated learning), Networking (e.g., 6G wireless, IoT, intelligent surfaces, metaverse, and blockchain).Projects
- Title
- SHIELD: Reliable Distributed Learning and Smart Contract assisted Digital Ecosystems
- Summary
- Smart contracts (SC) are transforming how we can enhance automated public services and how the services are executed and controlled in digital ecosystems. Distributed artificial intelligence (DAI) is a new AI paradigm that uses distributed device computing resources to improve data privacy. It is natural to combine SC and DAI to address challenging research issues, including data privacy, security, and network scalability, thus fostering efficient and responsible actions for reliable digital transformation ecosystems in smart cities and novel energy management models. Although promising, there is no high-level reference framework for designing novel SC/DAI-driven solutions and benchmarking testbeds for essential use cases and scaling their implementation internationally. The SHIELD project will offer a new SC/DAI-driven holistic, security, and privacy service architecture and apply it to important use cases in blockchain network ecosystems and smart city/smart energy case studies. SHIELD focuses on public digital services in smart cities using SC/DAI-driven control and operates over edge and global networks. The framework would incorporate robust security measures and privacy-enhancing capabilities in accordance with the sixth-generation (6G) network standards. Exploiting the unique features and research advances on SC/DAI, SHIELD will enable the training, execution, and automated control of e-services with decentralized, contract-based, and secure natures. The framework will enable new models and methods to minimize energy consumption and fraud losses, optimize computing resources and accidental exceptions, and enhance personalization and environmental awareness for micro/macrodigital transformation systems. SHIELD will bring together an international consortium of researchers from the EU and Asia to implement the framework in their lab and testbed facilities. Furthermore, the work carried out in SHIELD will serve as a steppingstone towards large-scale applications, regulations, and governance smart services in 6G with a vision of a new fully digital transformation society.
- Funding Agency
- Irish Research Council (IRC)
- Date From
- 2025
- Date To
- 2028
- Title
- ENSURE-6G: Evolution in Security and Privacy for 6G Networks
- Summary
- ENSURE-6G project will develop robust solutions to provide resilient 6G telecommunication infrastructure in the presence of both cyber and physical attacks in 6G networks. The rationale for the ENSURE-6G project is well justified due to the need for advanced and intelligent security and privacy-enhancing mechanisms deployed in practice within current mobile networks and the necessity of novel efficient mechanisms for future networks. ENSURE-6G will have a strong impact on the careers of all participating staff involved. It will equip them with cutting-edge technical and practical knowledge in the security and privacy of 6G technologies. It will create an opportunity to build a strong professional network and bond with industry partners beyond the project"s completion date. The ENSURE-6G will aim to ensure that the EU is at the forefront of security and privacy requirements of 6G networks and that new security measures are designed to mitigate the risks associated with new 6G end-user devices and users.
- Funding Agency
- European Research Executive Agency
- Date From
- 2025
- Date To
- 2028
- Title
- Privacy Enhancing Connected Cars in 5G and Beyond
- Summary
- Multi-access edge computing (MEC) is a key technology in 5G and beyond, and machine learning is a promising tool for low-complexity, fast-response, and easy-deployment algorithms. A connected vehicle can provide some main functions and services, for example, traffic safety, infotainment, traffic efficiency, cost efficiency, and convenience and interaction. This project aims to utilise machine learning to design optimised resource allocation for 5G with the coexistence of traditional and MEC computing paradigms. From the network and communication perspective, this project will first provide several machine learning-based resource allocation frameworks for connected vehicles with integrated 4C communication, computing, caching, and control. However, a critical concern with conventional machine learning is data privacy since most vehicles want to keep track of their local data and are unwilling to share local data with a third party. To tackle data privacy challenges, this project will utilise federated learning, a new distributed AI concept, for secure computation offloading, caching, and communication in connected vehicle networks. This project further sets on implementing the testbeds to provide more practical and implementation aspects that theoretical results cannot provide.
- Funding Agency
- Korea NRF
- Date From
- 2019
- Date To
- 2024
- Title
- Edge-assisted Activity Recognition Using Skeletal Representation and Deep Learning for Video Surveillance
- Summary
- This project brings together the research area of computer vision, deep learning, and edge computing for interdisciplinary collaboration. While in recent years, there has been a great deal of interest from scientists and researchers in these areas, there has been little work on the design and development of an intelligent surveillance system that integrates cutting-edge technologies for efficient activity recognition. More specifically, the contributions of this project can be stated as (1) A HAR framework is developed by fully exploiting the benefits of human skeleton information (i.e., privacy protection and latency reduction) in IoT environments, (2) A comprehensive study of feature extraction schemes is provided to investigate the effectiveness and ability of different feature types in capturing dynamics of body joints in both spatial and temporal domains, (3) Depending on the type of skeletal features, we design various lightweight DL models for inferring human activities on resourced-constrained devices in two directions: CNNs for learning fixed-size video representation and deep sequential networks (RNN and Transformer) for learning dynamics of variable-length sequences, and (4) We propose a collaborative computation offloading algorithm to achieve the load balancing among the edge servers and to meet latency and accuracy requirements of an edge HAR system. Hence, the project has both high scientific and commercial potential due to the high demand for large-scale surveillance applications for industry, healthcare, risk monitoring, and automated assisted living systems.
- Funding Agency
- Nazarbayev University
- Date From
- 2022
- Date To
- 2024
Recognition
Representations
Associate Editor, IEEE Transactions on Mobile Computing
Associate Editor, IEEE Transactions on Network Science and Engineering
PhD Thesis Foreign Evaluator, Nazarbayev University, Kazakhstan
Associate Editor, IEEE Communications Surveys & Tutorials
Associate Editor, IEEE Communications Standards Magazine
Editor, IEEE Communications Letters
Editor, Journal of Network and Computer Applications
Editor, REV Journal on Electronics and Communications
PhD Thesis Foreign Evaluator, National University of Sciences and Technology (NUST), Pakistan
Editor, Nature Scientific Reports
Guest Editor, IEEE Internet of Things Magazine, Special Issue on Federated Learning for Industrial Internet of Things
Guest Editor, IEEE Transactions on Consumer Electronics, Special Issue on Federated Learning for Personalized Recommendation of Consumer Electronics
Guest Editor, Computer Communications, Special Issue on Intelligent Device-free Sensing for Future Internet of Things: Emerging Trends and Challenges
Lead Guest Editor, IEEE Internet of Things Journal, Special Issue on Aerial Computing for the Internet-of-Things (IoT)
TPC, IEEE International Conference on Communications (ICC)
TPC, IEEE Wireless Communications and Networking Conference (WCNC)
TPC, IEEE 98th Vehicular Technology Conference: VTC2023-Fall
Reviewer, IEEE Communications Letters
Reviewer, IEEE Communications Surveys and Tutorials
Reviewer, IEEE Transactions on Communications
Reviewer, IEEE Transactions on Wireless Communications
Reviewer, IEEE Transactions on Vehicular Technology
Reviewer, IEEE Transactions on Mobile Computing
Reviewer, IEEE Journal on Selected Areas in Communications
Reviewer, IEEE Journal of Selected Topics in Signal Processing
Senior Reviewer, IEEE Open Journal of the Communications Society
Awards and Honours
Highly Cited Researcher by Clarivate
Top Editor Award, IEEE Communications Standards Magazine
IEEE ComSoc Best Young Researcher Award for EMEA
Best Computer Science Scientists (in Ireland and worldwide), Research.com
Top 0.05% Highly Ranked Scholars by ScholarGPS
World's Top 2% of Scientists (both career-long and single-year impact), Stanford University List
Best Paper Award, IEEE Consumer Electronics Magazine
Coordination Support Award, Enterprise Ireland
Best Paper Award, IEEE ATC
Golden globe award, Ministry of Science and Technology (Vietnam)
Top Reviewer award, IEEE Transactions on Vehicular Technology
Best PhD Dissertation Award, Inje University
Memberships
IEEE Senior Member
IEEE ComSoc Member
IEEE VTS Member
IEEE CTSoc WNT Technical Committee
IEEE Member