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Dr. Viet Pham

Assistant Professor (Computer Science)
13 WESTLAND ROW
      
Profile Photo

Dr. Viet Pham

Assistant Professor (Computer Science)
13 WESTLAND ROW

 VIET.PHAM@tcd.ie

 3531896 8437


Dr. Viet Quoc PHAM 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. He received the Ph.D. degree in telecommunications engineering from Inje University, Korea, in 2017. 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.
  6G   ARTIFICIAL INTELLIGENCE   Distributed systems   Edge Intelligence   Internet of Things   Metaverse   Mobile Communications   Mobile Networks   Resource Allocation   Telecommunications   Wireless AI   Wireless Communication
Project Title
 SHIELD: Reliable Distributed Learning and Smart Contract assisted Digital Ecosystems
From
2025
To
2028
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)
Programme
CHIST-ERA Call 2023
Project Title
 ENSURE-6G: Evolution in Security and Privacy for 6G Networks
From
2025
To
2028
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
Programme
HORIZON-MSCA-2023-SE-01 (MSCA Staff Exchanges 2023)
Project Type
Research
Project Title
 Guaranteeing the Right of Data Forgotten with Generative AI
From
2024
To
2026
Summary
Funding Agency
Higher Education Research Equipment Grant (HEREG)
Programme
TCD Research Boost Programme 2024
Project Title
 Translatable Learning for Hyperconnected Systems
From
2024
To
2026
Summary
Funding Agency
Enterprise Ireland
Project Title
 Development of an AUV using SONAR Technology for Supporting Underwater Surveillance and Measuring Marine Environmental Parameters
From
2024
To
2027
Summary
Funding Agency
Vingroup Innovation Foundation (VINIF)

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Details Date
Workshop Organiser, IEEE GLOBECOM workshop on "Quantum Machine Learning for Reliable Communications in Ubiquitous Intelligence of Things" 2025
Workshop Organiser, IEEE GLOBECOM workshop on "Sustainable AI for Next-Generation Wireless Communications and Networking" 2025
Workshop Organiser, IEEE PIMRC workshop on "Machine Learning Empowered Optical Communications" 2025
Technical Program Committee, IEEE International Conference on Network Protocols (ICNP 2025) 2025
Technical Program Committee, IEEE LCN 2025 Special Track on Large Language Models and Networking (LLMN) 2025
Executive Board, Vietnamese Intellectual Society in the UK and Ireland Vietnamese Intellectual Society in the UK and Ireland 2025 - Present
Associate Editor, IEEE Transactions on Mobile Computing 2025 - Present
Associate Editor, IEEE Transactions on Network Science and Engineering 2025 - Present
PhD Thesis Foreign Evaluator, Nazarbayev University, Kazakhstan 2025
Associate Editor, IEEE Communications Surveys & Tutorials 2024 - Present
Associate Editor, IEEE Communications Standards Magazine 2024 - Present
Editor, IEEE Communications Letters 2023 - Present
Editor, Journal of Network and Computer Applications 2020 - Present
Editor, REV Journal on Electronics and Communications 2023 - Present
PhD Thesis Foreign Evaluator, National University of Sciences and Technology (NUST), Pakistan 2023-2024
Editor, Nature Scientific Reports 2022 - 2023
Guest Editor, IEEE Internet of Things Magazine, Special Issue on Federated Learning for Industrial Internet of Things 2023 - 2024
Guest Editor, IEEE Transactions on Consumer Electronics, Special Issue on Federated Learning for Personalized Recommendation of Consumer Electronics 2023 - 2024
Guest Editor, Computer Communications, Special Issue on Intelligent Device-free Sensing for Future Internet of Things: Emerging Trends and Challenges 2023 - 2024
Lead Guest Editor, IEEE Internet of Things Journal, Special Issue on Aerial Computing for the Internet-of-Things (IoT) 2021 - 2023
TPC, IEEE International Conference on Communications (ICC) 2023
TPC, IEEE Wireless Communications and Networking Conference (WCNC) 2023
TPC, IEEE 98th Vehicular Technology Conference: VTC2023-Fall 2023
Reviewer, IEEE Communications Letters 2023
Reviewer, IEEE Communications Surveys and Tutorials 2023
Reviewer, IEEE Transactions on Communications 2023
Reviewer, IEEE Transactions on Wireless Communications 2023
Reviewer, IEEE Transactions on Vehicular Technology 2023
Reviewer, IEEE Transactions on Mobile Computing 2023
Reviewer, IEEE Journal on Selected Areas in Communications 2023
Reviewer, IEEE Journal of Selected Topics in Signal Processing 2023
Senior Reviewer, IEEE Open Journal of the Communications Society 2022 - Present
Language Skill Reading Skill Writing Skill Speaking
English Fluent Fluent Fluent
Korean Basic Basic Basic
Vietnamese Fluent Fluent Fluent
Details Date From Date To
IEEE Senior Member 08/2023
IEEE ComSoc Member 12/2022
Executive Board, Vietnamese Intellectual Society (VIS) in the UK and Ireland 02/2024
IEEE VTS Member 12/2023
IEEE CTSoc WNT Technical Committee 10/2022
IEEE Member 10/2018 08/2023
Trong-Binh Nguyen, Minh-Duong Nguyen, Jinsun Park, Won Joo Hwang, and Quoc-Viet Pham, Federated Domain Generalization with Data-free On-server Matching Gradient, International Conference on Learning Representations (ICLR), Singapore, Apr., 2025, Conference Paper, PUBLISHED  URL
Duong Minh Nguyen, Le-Tuan Nguyen, Quoc-Viet Pham, Spatio-Temporal Gradient Matching for Federated Continual Learning, International Conference on Machine Learning (ICML) workshop on Collaborative and Federated Agentic Workflows (CFAgentic @ ICML), Vancouver, Canada, Jul., 2025, Conference Paper, PUBLISHED  URL
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, Conference Paper, ACCEPTED
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, Conference Paper, ACCEPTED
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, Conference Paper, ACCEPTED
Bolun Zhang, Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen, Quoc-Viet Pham, DDPG-E2E: A Novel Policy Gradient Approach for End-to-End Communication Systems, IEEE Transactions on Cognitive Communications and Networking, 11, (13), 2025, p1738 - 1751, Journal Article, PUBLISHED  DOI  URL
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, 12, (12), 2025, p21225 - 21239, Journal Article, PUBLISHED  DOI  URL
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, Journal Article, PUBLISHED  DOI  URL
Jiahui Zhao, Ming Chen, Zhaohui Yang, Yijin Pan, Dusit Niyato, Quoc-Viet Pham, Resource Allocation for Semantic-Aware Wireless Communication Networks with Imperfect CSI, IEEE Transactions on Wireless Communications, 2025, Journal Article, PUBLISHED  DOI  URL
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, Journal Article, PUBLISHED  DOI  URL
  

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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, Journal Article, SUBMITTED

  


Award Date
Highly Cited Researcher by Clarivate (one of only four scientists from Trinity) 2024
Exemplary Editor Award, IEEE Communications Standards Magazine 2024
IEEE ComSoc Best Young Researcher Award for EMEA 2023
Best Computer Science Scientists (in Ireland and worldwide), Research.com 2024
Top 0.05% Highly Ranked Scholars by ScholarGPS 2024
World's Top 2% of Scientists (both career-long and single-year impact), Stanford University List 2021-2024
Best Paper Award, IEEE Consumer Electronics Magazine 2024
Coordination Support Award, Enterprise Ireland 2023-2025
Best Paper Award, IEEE International Conference on Advanced Technologies for Communications (ATC) 2022
Golden globe award, Ministry of Science and Technology (Vietnam) 2021
Best PhD Dissertation Award, Inje University 2017
Top Reviewer award, IEEE Transactions on Vehicular Technology 2020
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).