DrThin Nguyen

Appointed as an Honorary Research Fellow at the Black Dog Institute to support collaborative mental-health research.

Served as a Program Committee Member for leading conferences in artificial intelligence and data mining, reviewing 18 submissions: - AAAI 2025: 6 submissions - AAAI 2026: 6 submissions - ICDM 2026: 6 submissions

Served as an invited assessor of competitive research-funding applications for the Swiss National Science Foundation in 2025.

Reviewed nine applications for the NHMRC Investigator Grants 2025 round in 2024. Invited to assess applications for the Investigator Grants 2027 round, with the invitation accepted in 2026.

Reviewer for international journals in artificial intelligence, machine learning, biomedical informatics, chemistry, and remote sensing. Journals reviewed for include Bioinformatics (2020); IEEE Transactions on Neural Networks and Learning Systems, Nature Communications, Applied Intelligence, Social Network Analysis and Mining, and SN Computer Science (2023); ACM Transactions on Information Systems (2025); and Scientific Reports, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Cognitive and Developmental Systems, IEEE Journal of Biomedical and Health Informatics, International Journal of Remote Sensing, Critical Reviews in Analytical Chemistry, Digital Discovery, and IEEE Transactions on Dependable and Secure Computing (2026).

The Deakin University Vice-Chancellor's Award for Outstanding Contribution to Research and Innovation recognises and celebrates distinctive, quality discovery and applied research, scholarship and creative endeavours, generating globally recognised and highly visible new knowledge, thinking and products for impact.

Our team, CDOZ (Causal Discovery Aussie: Nu Hoang, Bao Duong, Quang Duy Tran, Thin Nguyen), won four of the top ten awards at the US$100K ADIA Lab Causal Discovery Challenge.

Our team (Bao Duong, Thin Nguyen) won second place at the EV Detection Challenge, United Energy

I achieved Kaggle Competition Master title

Our team earned a Gold Medal with a top-five finish among 4,373 teams in the Kaggle Mechanisms of Action Prediction Competition.

I won the Best Performer Award in the DREAM Single-Cell Transcriptomics Challenge. I also co-first-authored the consortium paper describing the challenge and its winning methods: https://www.life-science-alliance.org/content/3/11/e202000867

Co-recipient for the paper “Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring,” presented at the 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Co-author of “Effect of Social Capital on Emotion, Language Style and Latent Topics in Online Depression Community,” which received the Runner-up Best Student Paper Award at the 2016 IEEE International Conference on Research, Innovation and Vision for the Future (RIVF).

Reviewed 35 submissions for leading conferences in machine learning, data mining, natural language processing and causal learning: - NeurIPS 2026: 4 submissions - KDD 2024: 6 submissions; KDD 2025: 5; KDD 2026 Cycle 2: 4 - ACL October 2024 cycle: 1 submission; ACL January 2026 cycle: 4; ACL May 2026 cycle: 3 - CLeaR 2024: 3 submissions; CLeaR 2025: 5

Served as Panel Chair on Higher Degree by Research milestone panels for candidates supervised by other A2I2 academics. In 2026, chaired two Pre-Submission Reviews in large language model and vision-language reasoning research, and one Confirmation of Candidature on scalable diffusion models for decision-making.

Served as an external examiner for a Master by Research thesis at Edith Cowan University in 2025.

Served as an external PhD thesis examiner for the University of Sydney (2020), the University of Canberra (2025), the University of Wollongong (2025), and the University of Technology Sydney (2026).