People at COINLab
Principal Investigator

Viet Quoc Pham (Phạm Quốc Việt)
Email: x.y@z, where x = viet, y = pham, and z = tcd.ie
Landline: +353 1 896 8437
Office: Room 1.5, 13 Westland Row, Trinity College Dublin, Dublin 2, D02 W272, Ireland
Profiles: Google Scholar ResearchGate LinkedIn ORCID Scopus Web of Science
Adjunct Fellows

Mai Le (Lê Thị Mai)
Adjunct Member, COINLab, Trinity College Dublin
Current position: Postdoctoral Research Fellow, University College Cork (UCC)
Research: resource allocation, wireless AI, XAI, future networks

Duong Minh Nguyen (Nguyễn Minh Dương)
Adjunct Member, COINLab, Trinity College Dublin
Current position: Postdoctoral Research Fellow, VinUniversity (VinUni)
Research: federated learning, continual learning, domain generalization, information theory

Seon-Geun Jeong (정선근)
Adjunct Member, COINLab, Trinity College Dublin
Current position: Assistant Professor, Gyeongsang National University (GNU)
Research: scalable quantum annealing, quantum machine learning, quantum error mitigation, applied quantum computing
Students and Researchers

Quang Minh Duong (Dương Minh Quang)
PhD Student, Trinity College Dublin, Sep. 2025 – Present
Research: decentralized federated learning and federated unlearning

PhD Student, Trinity College Dublin, Sep. 2025 – Present
Research: AI research in action, multi-agent systems, collective intelligence
Co-supervised with Prof. Gregory O'Hare

Linh Thanh Nguyen (Nguyễn Thành Linh)
PhD Student, Trinity College Dublin, Sep. 2023 – Present
Research: data privacy, network economics, incentivization in decentralized federated learning

Hue Thi Dang (Đặng Thị Huế)
PhD Student, Trinity College Dublin, Mar. 2024 – Present
Research: numeric accuracy and reproducibility in deep learning training and inference
Co-supervised with Prof. Andrea Patane

Haowen Sun (孙浩文)
PhD Student, Southeast University, Sep. 2021 – Present
Visiting PhD Student, Trinity College Dublin, Nov. 2025 – Present
Research: mobile edge computing, edge AI, applied machine learning

Khai Duc Dang (Đặng Đức Khải)
Research Assistant, VinUniversity (VinUni), Jan. 2026 – Present
Research: federated continual learning, federated unlearning, domain generalisation
Co-supervised with Dr. Duong Minh Nguyen (VinUni)
Alumni: PhDs and Research MSc

Jiahui Zhao (赵佳慧)
PhD Student, Southeast University, Sep. 2020 – Aug. 2026
Visiting PhD Student, Trinity College Dublin, Jan. 2024 – Jan. 2025
Research: semantic communication, mobile edge computing, edge AI
Current position: Postdoctoral Researcher, Purple Mountain Laboratories

Khanh Vinh Tran (Trần Vinh Khánh)
MSc by Research, University College Cork, Sep. 2025 – Aug. 2026
Research: design and development of a reliable, high-performance agentic AI platform
Co-supervised with Prof. Harry Nguyen (UCC)

Tuan Van Tran
PhD Student, Trinity College Dublin, Sep. 2023 – Dec. 2025
Research: collective intelligence, federated learning, machine unlearning
Moved to another research team

Mengyan Huang (黄梦延)
PhD Student, Xidian University, Sep. 2021 – Aug. 2025
Visiting PhD Student, Trinity College Dublin, Oct. 2023 – Nov. 2024
Research: beamforming, physical layer security, non-terrestrial communications
Current position: Postdoctoral Research Fellow, Henan Polytechnic University, China

Duong Minh Nguyen (Nguyễn Minh Dương)
PhD Student, Pusan National University, Sep. 2020 – Aug. 2025
Thesis: Empowering networked semantic communication with knowledge-aided deep channel coding and federated learning
Co-supervised with Prof. Won-Joo Hwang
Current position: Postdoctoral Research Fellow, VinUniversity, Viet Nam

Vu Thai Hoc (Vũ Thái Học)
PhD Student, University of Ulsan, Mar. 2021 – Feb. 2025
Research: performance analysis and network optimization of 6G short-packet communications
Co-supervised with Prof. Sunghwan Kim
Current position: Postdoctoral Research Fellow, VSB-Technical University of Ostrava, Czechia

Mai Le (Lê Thị Mai)
PhD Student, Pusan National University, Mar. 2021 – Feb. 2024
Thesis: Resource allocation optimization in intelligent wireless networks
MSc, Inje University, Mar. 2019 – Feb. 2021: swarm intelligence for D2D communications with unlicensed spectrum
Co-supervised with Prof. Won-Joo Hwang
Current position: Visiting Fellow (TCD) and Postdoctoral Research Fellow (UCC), Ireland

Dao Thien Thanh (Đào Thiện Thành)
PhD Student, Pusan National University, Sep. 2020 – Feb. 2024
Research: deep learning-based automatic modulation classification
Co-supervised with Prof. Won-Joo Hwang
Current position: Lecturer, Phenikaa University, Viet Nam

Sang Min Lee (이상민)
PhD Student, Pusan National University, Sep. 2020 – Sep. 2023
Research: communication-efficient FL for massive IoT
Co-supervised with Prof. Won-Joo Hwang

Nadia Iradukunda
PhD, Inje University, Sep. 2019 – Aug. 2022
Research: resource allocation optimization for UAV wireless backhaul 5G networks
Co-supervised with Prof. Won-Joo Hwang
Current position: Lecturer, Mount Kenya University, Rwanda

Vo Ta Hoang (Võ Tá Hoàng)
PhD, Inje University, Sep. 2017 – Feb. 2020
Co-supervised with Prof. Won-Joo Hwang
Current position: Lecturer, Thuyloi University, Viet Nam

Hoang Huu Trung (Hoàng Hữu Trung)
PhD, Inje University, Sep. 2018 – Feb. 2021
Co-supervised with Prof. Won-Joo Hwang
Current position: Lecturer, Hue University, Viet Nam

Nguyen Tien Hoang (Nguyễn Tiến Hoàng)
MSc, Inje University, Sep. 2017 – Aug. 2019
Research: game theory for computation offloading in MEC networks
Co-supervised with Prof. Won-Joo Hwang
Current position: QA Project Leader, LG Innotek, Viet Nam

Maurice Nduwayezu
MSc, Inje University, Sep. 2017 – Aug. 2019
Research: deep reinforcement learning for computation offloading in NOMA-MEC networks
Co-supervised with Prof. Won-Joo Hwang
Current position: PhD Student, SeoulTech, Korea

Girmay Gebremariam Gebrelibanos
MSc, Inje University, Sep. 2017 – Aug. 2019
Research: swarm intelligence for D2D communications with unlicensed spectrum
Co-supervised with Prof. Won-Joo Hwang
Alumni: Taught MSc, Interns, BAI, MAI
Ayush Yogesh, MSc in Engineering (MAI D), Trinity College Dublin, Sep. 2025 – Aug. 2026. Thesis: A white-Box verification protocol for client-level federated unlearning.
Niraj Bharambe, MSc in Computer Science (Future Network Systems), Trinity College Dublin, Sep. 2025 – Aug. 2026. Thesis: Federated learning and multi-agent RL for vehicular edge computing.
Tao-Sen Chang, MSc in Computer Science (Future Network Systems), Trinity College Dublin, Sep. 2025 – Aug. 2026. Thesis: VisHtFL: An interactive visualization system for heterogeneous federated learning.
Xiaoxuan Duan, MSc in Computer Science (Future Network Systems), Trinity College Dublin, Sep. 2025 – Aug. 2026. Thesis: Machine unlearning for text classification: Balancing forgetting and utility preservation.
David Konovalovs, MSc in Engineering (MAI D), Trinity College Dublin, Sep. 2025 – Aug. 2026. Thesis: Comparing aggregation strategies for federated learning.
Daniel Cunney, BAI in Computer Science, Trinity College Dublin, Sep. 2025 – Aug. 2026. FYP: Benchmarking federated graph learning methods under data heterogeneity.
Nishanth Gopinath, MSc in Computer Science (Data Science), Trinity College Dublin, Sep. 2024 – Aug. 2025. Thesis: Personalized secure slimmable quantum federated learning.
Lakshman Raj Baskaran, MSc in Computer Science (Future Networked Systems), Trinity College Dublin, Sep. 2024 – Aug. 2025. Thesis: Automatic modulation classification using graph neural networks.
Michael Lynch, BAI D (Engineering), Trinity College Dublin, Jan. 2024 – Aug. 2025. FYP: Comparative analysis of machine learning methods for denoising 5G NR spectrograms.
Alberti Mattia, MSc in Statistics and Sustainability, Trinity College Dublin, Sep. 2023 – Aug. 2024. Thesis: Do investors’ health conditions affect their portfolio allocation decisions? A statistical analysis.
Agrawal Samarth, MSc in Computer Science (Future Networked Systems), Trinity College Dublin, Sep. 2023 – Aug. 2024. Thesis: Automatic modulation classification using deep learning models.
Antony Anshal, MSc in Computer Science (Future Networked Systems), Trinity College Dublin, Sep. 2023 – Aug. 2024. Thesis: Dynamic unlearning in LLMs: An AI agent-based approach to data censorship.
Habeeb Rahuman Ashiqur Rahman, MSc in Computer Science (Future Networked Systems), Trinity College Dublin, Sep. 2023 – Aug. 2024. All but dissertation.
Fionn Murphy, Senior Sophister Internship, Trinity College Dublin, 2024 – 2025.
Fiyinfoluwa Onafuwa, Senior Sophister Internship, Trinity College Dublin, 2024 – 2025.
Nuoxi Zhang, Millennium Fellowship, Trinity College Dublin, 2024.
Ciara Lynch, Senior Sophister Internship, Trinity College Dublin, 2023 – 2024.
Yi Ren, Senior Sophister Internship, Trinity College Dublin, 2023 – 2024.
