Nguyen Van Huynh

Huynh Nguyen (Nguyễn Văn Huỳnh)

Lecturer (Assistant Professor)

School of Computer Science and Informatics

University of Liverpool, United Kingdom

Email: huynh.nguyen(at)liverpool.ac.uk or huynh.nguyen(at)ieee.org

University webpage

Google Scholar

(Last Update: Jul. 2025)

Dr. Huynh Nguyen received the PhD degree in Electrical and Computer Engineering from the University of Technology Sydney (UTS), Australia in 2022. He is currently a Lecturer at the School of Computer Science and Informatics, University of Liverpool (UoL), United Kingdom. Before joining UoL, he was a Postdoctoral Research Associate in the Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom. His research interests include cybersecurity, mobile computing, 5G/6G, IoT, and machine learning. He has received several awards and grants from NVIDIA, Google, and IEEE ComSoc, including NVIDIA Academic Grant, Google PhD Fellowship, IEEE WCL Exemplary Reviewer, and IEEE GLOBECOM and IEEE ICC Travel Grants. He has co-organised various IEEE conferences in communications and networking (e.g., IEEE GLOBECOM, IEEE ICC, and IEEE FNWF) as TPC member and co-chair. He is currently an Editor of IEEE Transactions on Communications, and an Associate Editor of IEEE Transactions on Mobile Computing (IEEE TMC) and IEEE Transactions on Vehicular Technology (IEEE TVT). He was a guest editor of IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN). Dr. Huynh Nguyen has been listed among the most cited researchers by Scopus and Stanford University since 2022.

We are accepting PhD and postdoc applications as well as visiting students all year round. If you are interested in working with us, please contact me (huynh.nguyen@liverpool.ac.uk) with your CV.

Research Interests

Communications and Networks: Mobile edge computing, wireless networks, IoT and Metaverse
Quantum Technologies: quantum machine learning and quantum networking
Applications of Machine Learning: Reinforcement learning, deep reinforcement learning, federated learning, and generative AI
Security: Physical layer security, cyberattack detection, and adversarial machine learning