Viet Quoc Pham
Assistant Professor in Networks and Distributed Systems
Lead of Collective Intelligence and Network AI Lab (COINLab)
School of Computer Science and Statistics, Trinity College Dublin
Contacts
E-mail: x.y@z, where x = viet, y = pham, and z = tcd.ie
Landline: +353-1-8968437
Profiles: Google Scholar, ResearchGate, LinkedIn, ORCID, Scopus, and Web of Science
Office: 1.5, 13 Westland Row, Trinity College Dublin, Dublin 2, D02 W272, Ireland
Research Interests
COmputing: mobile edge computing, aerial computing, edge of things, and edge AI.
Intelligence: wireless AI, federated learning, machine unlearning, quantum ML.
Networking: 6G wireless, network AI, and blockchain.
Recent News
10/2026 We will run our 3rd workshop on Quantum Machine Learning for Next-Generation Networks in IEEE ICC 2027.
10/2026 Our work on path-dependent federated unlearning (PDF) got accepted to NeurIPS NewInML.
10/2026 Our work on privacy-preserving mobile edge computing (PRICE) got accepted to IEEE TMC.
08/2026 I have been appointed as the Course Director of Computer Engineering.
05/2026 I started my new role as Area Editor of IEEE Communications Surveys & Tutorials.
03/2026 I have been invited to be a Featured Author on IEEE Xplore. Check my IEEE profile here.
02/2026 Our work on privacy-preserving Wi-Fi sensing and federated on-server unlearning got accepted to IEEE PerCom and CVPR 2026.
01/2026 I have joined Research Ireland ADAPT Centre on AI-Driven Digital Content Technology as Academic Collaborator.
12/2025 My proposal “Quantum AI-native 6G Physical Layer Optimisation” to NVIDIA has been successful.
Earlier news
05/2025 Our works on domain generalization and federated unlearning have been accepted to ECAI 2025. Congratulations to all teams!
05/2025 Our IEEE GLOBECOM workshops on Quantum ML and Sustainable AI are now open for submission. Please consider submitting your high-quality work.
03/2025 Our IEEE PIMRC workshop on ‘‘Machine Learning Empowered Optical Communications" is now open. Please consider submitting your high-quality work.
01/2025 I have been appointed as Associate Editor of the two top-tier IEEE Transactions: IEEE TNSE and IEEE TMC.
01/2025 I have been honoured with the Top Editor Award for 2024 from IEEE Communications Standards Magazine.
12/2024 The SHIELD project on reliable distributed learning and smart contract has been granted under the CHIST-ERA 2023 Call (Coordinator).
11/2024 I have been featured on the annual Highly Cited Researchers list for 2024 from Clarivate. Highlighted in Trinity's News and SCSS's News
09/2024 Four years in a row! I have been recognised as a top 2% Scientist in both career-long and single-year achievement.
08/2024 I have been appointed as Associate Editor of IEEE Communications Surveys & Tutorials.
07/2024 I have been appointed as Associate Editor to the Open Call of IEEE Communications Standards Magazine.
07/2024 Congratulations Mai! Her PhD works on distributed ML and DRL for HAP communications have been accepted to IEEE COMST and IEEE TCE.
06/2024 Our work on intelligent IoT security and privacy has been accepted to IEEE Communications Surveys & Tutorials.
05/2024 Our ENSURE-6G proposal on 6G security and privacy under the HORIZON MSCA Staff Exchange 2023 call has been accepted.
12/2023 The two students whom I co-supervise, Mai Le and Thanh Thien Dao, successfully passed their PhD viva. Congratulations!
11/2023 I have been selected as the winner of the IEEE ComSoc Best Young Researcher Award for EMEA 2023.
08/2023 I have been appointed as the Demonstrator and Teaching Assistant Coordinator.
07/2023 I have been invited to join the editorial board of the IEEE Communications Letters.
01/2023 I have joined SFI CONNECT as an Associate Investigator and SFI AdvanceCRT as a TCD supervisor.
01/2023 New academic chapter! I am currently with the School of Computer Science and Statistics, Trinity College Dublin.
02/2019 Hot! I have started my five-year project funded by Korea NRF (sole-PI, 500M KRW, Feb. 2019 - Feb. 2024).
Selected Publications
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), 2026.
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 (IC), 2026.
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 (TNSE), 2026.
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 (TPDS), 2026.
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 (TMC), 2026.
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), 2025.
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), 2025.
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 (IoTJ), 2024.
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 (COMST), 2024.
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 (TMC), 2023.
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 (TVT), 2022.
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 (IoTJ), 2021.
Q.-V. Pham, H. 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 (TVT), 2020.
Academic Biography
I am an Assistant Professor (above the bar) in the Networks and Distributed Systems Discipline at the TCD School of Computer Science and Statistics. I am the Course Director of the Computer Engineering (D) stream, a joint undergraduate programme between the two Schools: Computer Science and Engineering. I am also affiliated with Research Ireland ADAPT Centre as an Academic Collaborator, ADVANCE CRT centre as an Academic Supervisor, and Research Ireland CONNECT Centre as an Associate Investigator. Prior to my tenure at TCD, I held various positions at top universities in Korea from 2017 to 2023: postdoc researcher at Kyung Hee University and research professor at Changwon National University and Pusan National University. I received the BSc and Ph.D. degrees, both in Telecommunications, from Hanoi University of Science and Technology in 2013 and Inje University in 2017.
My research interest is based on multidisciplinary approaches of computer science, telecommunications, and engineering mathematics for the practical design of distributed systems and communication networks. Based on that vision, I have led the COINLab and focused on three main thrusts of collective intelligence and network AI, including COmputing, Intelligence, and Networking. My current research centres on decentralised machine learning, with a particular focus on data privacy, federated learning, and machine unlearning. Through an interdisciplinary approach, I aim to advance technologies that support distributed intelligence and reliable connectivity at scale and for all.
Full Biography
I was a recipient of the Best Ph.D. Dissertation Award from Inje University in 2017, the Top Reviewer Award from the IEEE Transactions on Vehicular Technology in 2020, the Golden Globe Award in Science and Technology for Younger Researchers in Vietnam in 2021, the IEEE ATC Best Paper Award in 2022, and the IEEE CE Magazine Best Paper Award in 2024. I was recognised as one of the most-cited researchers by Scopus for five consecutive years, from 2021 to 2025 and one of the Best Computer Science Scientists in Ireland by Research.com in 2024 and 2025. I have been selected as a Highly Cited Researcher (in Engineering, Telecommunications, and Computer Science) by Clarivate in 2024, and a Featured Author on IEEE Xplore in 2026, highlighting my recent work on verifiable federated unlearning. I was honoured with the IEEE ComSoc Best Young Researcher Award for EMEA 2023 in recognition of my research activities for the benefit of the Society.
I am currently serving as an Area Editor of IEEE Communications Surveys & Tutorials, and an (Associate) Editor of IEEE Communications Letters, IEEE Communications Standards Magazine, IEEE Transactions on Mobile Computing, and IEEE Transactions on Network Science and Engineering. I am a senior member of the IEEE, the IEEE ComSoc, and the IEEE VTS.
About Me
In English naming style, my full name is Viet Quoc Pham, which I prefer to be called Viet. In Vietnamese, my full name is Phạm Quốc Việt. While in Korea, many called me 베트 (from 베트남) or 비엣 (phonetic spelling of Việt). I use Quoc-Viet Pham as my author name in academic articles. Also, my TCD username is phamq, which is created based on my last name and middle name. I very often have problems answering the “What is your correct name?” question :)