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., Rajagopalan, A., Kim, J., & Lim, C. (2019). Adaptive regret minimization for learning complex team-based tactics. IEEE Access, 7(1), 103019-103030.
2018 Nguyen, D., Nguyen, H., & White, L. (2018). Evaluating performance of RAT selection algorithms for 5G Hetnets. IEEE Access, 6, 61212-61222.
DOI Scopus1 WoS2
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 Scopus21 WoS16
Report for External Bodies
Year Citation 2018 Nguyen, D. D., Nguyen, S. T. N., Melino, R., Kodituwakku, S., & Tran, H. -T. (2018). Radar Detection of Helicopters at low SNR using Time-Frequency Transforms (DST-Group-TR-3481).
Year Citation 2018 Nguyen, D. D. (2018). Adaptive Reinforcement Learning for Heterogeneous Network Selection. (PhD Thesis, The University of Adelaide).
Year Citation 2019 White, L., Nguyen, D. D., & Rynkiewicz, O. (2019). Bayesian Rationality in Satisfaction Games.
2018 White, L., & Nguyen, D. D. (2018). Hannan Consistency in Satisfaction Games.
- DST Group: Intelligent Multi-agent Coordination and Learning, 2018 - 2019.
- DST Group: Distributed Team-based Learning for Zone Defence under Uncertainty, 2019 - 2020.
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