Dr Duong Nguyen
Grant Funded Researcher B
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
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 - ongoing 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 2022 Nguyen, D., Zhao, W., Mäkelä, M., Alwahabi, Z. T., & Kwong, C. W. (2022). Effect of hydrothermal carbonisation temperature on the ignition properties of grape marc hydrochar fuels. Fuel, 313, 8 pages.
DOI Scopus10 WoS8
2019 Nguyen, D. D., Rajagopalan, A., Kim, J., & Lim, C. C. (2019). Adaptive regret minimization for learning complex team-based tactics. IEEE Access, 7(1), 103019-103030.
DOI Scopus2 WoS1
2018 Nguyen, D. D., Nguyen, H. X., & White, L. B. (2018). Evaluating performance of RAT selection algorithms for 5G Hetnets. IEEE Access, 6, 61212-61222.
DOI Scopus8 WoS8
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 Scopus52 WoS41
Year Citation 2022 Nguyen, N., Nguyen, D., Kim, J., Rizzo, G., & Nguyen, H. (2022). Multi-Agent Data Collection in Non-Stationary Environments. In Proceedings - 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2022 (pp. 120-129). Online: IEEE.
2020 Nguyen, D., Rajagopalan, A., Kim, J., Lim, C. C., & Hubczenko, D. (2020). Dynamic Multi-Target Assignment with Decentralised Online Learning to Achieve Multiple Synchronised Goals. In 2020 IEEE International Conference on Machine Learning and Cybernetics (ICMLC) Vol. 2020-December (pp. 111-117). online: IEEE.
2019 Rajagopalan, A., Nguyen, D. D., & Kim, J. (2019). Predictive Regret-Matching for Cooperating Interceptors to Defeat an Advanced Threat. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11919 LNAI (pp. 28-40). Switzerland: Springer Nature.
2018 Nguyen, D. D., Rajagopalan, A., & Lim, C. C. (2018). Online Versus Offline Reinforcement Learning for False Target Control Against Known Threat. In Z. Chen, A. Mendes, Y. Yan, & S. Chen (Eds.), Intelligent Robotics and Applications. ICIRA 2018. Lecture Notes in Computer Science, vol 10984. Springer, Cham Vol. 10984 (pp. 400-412). Switzerland: Springer Nature.
DOI Scopus8 WoS2
2016 Nguyen, D. D., Nguyen, H. X., & White, L. B. (2016). Performance of adaptive RAT selection algorithms in 5G heterogeneous wireless networks. In Proceedings of the 26th International Telecommunication Networks and Applications Conference (ITNAC 2016) (pp. 1-6). Piscataway, NJ: IEEE.
DOI Scopus4 WoS3
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. 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). Piscataway, NJ: IEEE.
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.
Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2021 Co-Supervisor Hannan Consistent Countermeasures Against Non-Stationary Adversarial Attacks on Autonomous Cyber Operations Doctor of Philosophy Doctorate Full Time Mr Nhat Dao Anh Nguyen
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