Tung Nguyen

Lecturer, School of Technology

Research interests

• Software engineering: mobile app development, cloud computing
• Computational trust
• Game theory and multi-agent systems
• Data science

Recent publications

Tung Doan Nguyen, Quan Bai, “A Dynamic Bayesian Network Approach for Agent Group Trust Evaluation”, Computers in Human Behavior, 2018, ISSN 0747-5632, (Elsevier). https://doi.org/10.1016/j.chb.2018.07.028.

Weihua Li, Quan Bai, T.D. Nguyen and Minjie Zhang, “Automated Influence Maintenance in Social Networks: an Agent-based Approach”, IEEE Transactions on Knowledge and Data Engineering, 2018 (Accepted as regular paper).

Tung Doan Nguyen, Quan Bai; Enhance Trust Management in Composite Services with Indirect Ratings, The Computer Journal, Volume 60, Issue 11, 1 November 2017, Pages 1619–1632,  https://doi.org/10.1093/comjnl/bxx026

Weihua Li, Quan Bai, T. D. Nguyen and MinJie Zhang, "Modelling Multiple Influences Diffusion in Online Social Networks" in the Proceedings of the 2018 International Conference on Autonomous Agents; Multiagent Systems, Sweden, 2018. (A* ranked in CORE)

Weihua Li, Quan Bai, T. D. Nguyen and MinJie Zhang, " Agent-based Influence Maintenance in Social Networks: (Extended Abstract)," presented at the Proceedings of the 2017 International Conference on Autonomous Agents; Multiagent Systems, Brazil, 2017. (A* ranked in CORE)

Other research contributions

2019 (current): Reviewer of IEEE Transactions on Information Forensics and Security (IEEE Signal Processing Society)

2018: Reviewer of Future Generation of Computer Systems (Elsevier)

2016–17: Reviewer of AAMAS (International Conference on Autonomous Agents and Multi-agent Systems)

Current research

Collaboration

2019 AUT: PhD candidate Hoa Nguyen, IoT for Health Care System – fall detection, Supervisor: Muhammad Asif Naeem. Improving healthcare system applied in hospital

2019 AUT: PhD candidate Mio, Computational Trust in Blockchain Technology. Applying the trust measure for different systems using blockchain technology