Postdoctoral Research Fellow
School of Electrical and Electronic Engineering
Faculty of Engineering, Computer and Mathematical Sciences
I am currently a postdoctoral research fellow at the School of Electrical and Electronic Engineering, The University of Adelaide, Australia. My current research focusses on reinforcement learning control for autonomous systems.
Date Position Institution name 2018 Postdoctoral Research Fellow The University of Adelaide
Language Competency English Can read, write, speak, understand spoken and peer review Vietnamese Can read, write, speak, understand spoken and peer review
Date Institution name Country Title 2014 - 2018 The University of Adelaide Australia PhD 2008 - 2009 King's College London United Kingdom MSc 2005 - 2007 University of Plymouth United Kingdom BSc (Hons)
Year Citation 2019 Nguyen, D. D., Rajagopalan, A., Kim, J., & Lim, C. -C. (2019). Adaptive Regret Minimization for Learning Complex Team-Based Tactics. IEEE ACCESS, 7, 103019-103030.
2018 Nguyen, D., Nguyen, H., & White, L. (2018). Evaluating performance of RAT selection algorithms for 5G Hetnets. IEEE Access, 6, 61212-61222.
2017 Nguyen, D., Nguyen, H., & White, L. (2017). Reinforcement learning with network-assisted feedback for heterogeneous RAT selection. IEEE Transactions on Wireless Communications, 16(9), 6062-6076.
DOI Scopus9 WoS8
Year Citation 2018 Nguyen, D., Rajagopalan, A., & Lim, C. (2018). Online versus offline reinforcement learning for false target control against known threat. In Z. Chen, A. Mendes, Y. Yan, & S. Chen (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10985 LNAI (pp. 400-412). Univ Newcastle, Fac Engn & Built Environm, Sch Elect Engn & Comp, Newcastle, AUSTRALIA: SPRINGER INTERNATIONAL PUBLISHING AG.
2016 Nguyen, D., Nguyen, H., & White, L. (2016). Performance of Adaptive RAT Selection Algorithms in 5G Heterogeneous Wireless Networks. In Proceedings of the IEEE International Telecommunication Networks and Applications Conference (ITNAC) (pp. 6 pages). Dunedin, New Zealand: IEEE.
DOI Scopus4 WoS2
2016 Nguyen, D., White, L., & Nguyen, H. (2016). Adaptive multiagent reinforcement learning with non-positive regret. In B. Kang, & Q. Bai (Eds.), Proceedings of the 29th Australasian Joint Conference on Artificial Intelligence Vol. 9992 LNAI (pp. 29-41). Hobart, Tas: Springer.
2016 Nguyen, H., Nguyen, D., Pham, T., Hoang, K., & Parsonage, E. (2016). A prototype of policy defined wireless access networks. In Proceedings of the 26th International Telecommunication Networks and Applications Conference (ITNAC 2016) (pp. 101-106). University of Otago, Dunedin, NEW ZEALAND: IEEE.
Year Citation 2016 Nguyen, D. U. O. N. G., Nguyen, H. U. N. G., & White, L. A. N. G. (2016). Distributed RAT Selection with Enhanced Reinforcement Learning. Technical Report, The University of Adelaide.
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