Dr. Trung Q. Duong (IEEE Fellow, EIC Fellow, AAIA Fellow) has established a strong record in signal processing and wireless communications and has published 550+ journal/conferences/books/bookchapters (Google Scholar: >21,000 citations, h-index of 80). He received the best paper awards at the IEEE CAMAD 2023, IEEE IWCMC 2023, IEEE GLOBECOM 2022, IEEE GLOBECOM 2019, IEEE IWCMC 2019, IEEE DSP 2017, IEEE GLOBECOM 2016, IEEE ICC 2014 and IEEE VTC 2013. He has served as an editor for IEEE Trans. on Wireless Communications, IEEE Trans. on Communications. Since 2014, he has secured £27+ million research grant as a Principal Investigator or Co-Investigator.

He is awarded the prestigious Newton Prize 2017 by the UK Government https://www.gov.uk/government/news/uk-vietnam-project-communicating-in-a-disaster-wins-prestigious-newton-prize.

Machine Learning-aided Real-time Optimisation: He has developed ML techniques to provide a real-time optimisation paradigm that can support near-zero latency communications for massive number of devices. This research has involved creating new optimisation algorithms with machine learning effectively reducing the running time from hours or minutes down to milliseconds, which is effectively applied to natural disaster, environment monitoring, air-quality, healthcare, agriculture, and security

His research interest include:

• Wireless communications: 6G networks, physical layer security, UAV communications, ultra-reliable low-latency communications, digital twin networks
• Quantum machine learning, quantum optimisation, realtime optimisation, Machine learning, data analytics and data science

• Their applications to environment, agriculture, healthcare, and smart cities