People at COINLab

Principal Investigator

Viet Quoc Pham

Viet Quoc Pham (Phạm Quốc Việt)

Adjunct Fellows

Mai Le

Mai Le (Lê Thị Mai)

Duong Minh Nguyen

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

Seon-Geun Jeong (정선근)

Students and Researchers

Quang Minh Duong

Quang Minh Duong (Dương Minh Quang)

  • PhD Student, Trinity College Dublin, Sep. 2025 – Present

  • Research: decentralized federated learning and federated unlearning

Shay Seiya McDonnell

Shay Seiya McDonnell

  • 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.