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Tung Thanh Vu (Member, IEEE) received his B.Sc. degree (Hons.) in telecommunications networking from Ho Chi Minh City University of Science, Vietnam, in 2012, an M.Sc. degree in telecommunication engineering from Ho Chi Minh City University of Technology, Vietnam, in 2016, and a Ph.D. degree in wireless communications from the University of Newcastle, Australia, in 2021. In 2019, he visited the Broadband Communications Research Lab at McGill University. From 2021 to 2023, he was a Research Fellow at Queen's University Belfast, U.K., and a Postdoctoral Researcher at Linköping University. He is currently a Research Fellow at Macquarie University, Australia. His research interests include optimization, information theories, and machine learning applications in 5G-and-beyond wireless networks, focusing on advanced technologies such as massive MIMO, cell-free massive MIMO, federated learning, full-duplex communications, physical layer security, and low-earth orbit satellite communications. He serves as an Editor for Elsevier Physical Communication (PHYCOM) and has been an active member of technical program committees and session chairs for various IEEE international conferences such as GLOBECOM, ICCE, and ATC. He received the Poster Award at the AMSI Optimise Conference in 2018 and has been recognized as an exemplary reviewer for IEEE Wireless Communications Letters in 2020-2021 and IEEE Transactions on Communications in 2021.
Macquarie University • Sydney, Australia
Conducting research in telecommunications and advanced wireless networks.
Linköping University • Sweden
Engaged in research related to wireless communications and machine learning applications.
Queen's University Belfast • Belfast, UK
Focused on collaborating and contributing to telecommunication and information theory projects.
Applied to Department of Business (MBA Program).