Dr Thin Nguyen

Dr Thin Nguyen

Senior Research Fellow · Applied Artificial Intelligence Initiative (A2I2), Deakin University

Current HDR supervision

HN
Hai Chan Nguyen · commenced 2025
Generalization and Reasoning Abilities of Foundation Models
TD
Toan Doan · commenced 2025
Causal Guidance for Large Language Models (with Sunil Gupta)
YW
Yafeng Wu · commenced 2025
Multi-Modal Time-Series Reasoning with Large Language Models (with Hung Le)
DN
Dang Anh Khoa Nguyen · commenced 2024
Towards Scalable Causal Discovery
DK
Duc Kieu · commenced 2023
Generative Models for Domain Generalization

Completed HDR supervision

QT
Quang-Duy Tran · completed 2026
Probabilistic Modelling Approaches for Causal Discovery Under Uncertainty
NH
Nu Hoang · completed 2026
Scalable Causal Discovery
KN
Khanh Toan Nguyen · completed 2026
Improving Generalisation in Discriminative and Generative Machine Learning Models
AM
Azhar Mohammed · completed 2025
Enhancing Artificial Intelligence Systems with Causal Reasoning
BD
Bao Duong · completed 2024
Advanced Machine Learning for Causal Discovery — Winner of Deakin's Thesis Award; Deakin University Postdoctoral Research Fellowship (DUPRF)
TN
Tri Minh Nguyen · completed 2022
Machine Learning for Drug-Target Interaction Prediction — Nominee for Deakin's Thesis Award; Deakin University Postdoctoral Research Fellowship (DUPRF)
HN
Hung Nguyen · completed 2020
Machine Learning Approaches for Population Health Analytics through Social Media
HH
Haripriya Harikumar · completed 2018
Machine Learning to Fight Addiction using Social Media (with Santu Rana and Sunil Gupta)
BD
Bo Duy Dao · completed 2016
Social Media as Sensor for Healthcare: A Machine Learning Approach

Reviewing services

Internal HDR milestone panels

Panel Chair and Independent Academic Member on Higher Degree by Research (HDR) milestone panels for candidates supervised by other academic staff within A2I2, providing independent assessment of research progress, project viability, research quality, researcher development, and readiness for thesis submission at Confirmation of Candidature, Mid-Candidature Review, and Pre-Submission Review.

External thesis examination

Grant review panels

Conference reviewing

Peer reviewer and programme committee member for leading venues in artificial intelligence, machine learning, data mining, natural language processing, and causal learning. For conferences hosted on OpenReview alone, I reviewed 44+ submissions during 2024–2026, including:

Journal reviewing

Reviewer for international journals in artificial intelligence, machine learning, biomedical informatics, and remote sensing. My journal-reviewing activities span a broad range of venues, including 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 IEEE Transactions on Artificial Intelligence, IEEE Transactions on Cognitive and Developmental Systems, IEEE Journal of Biomedical and Health Informatics, and the International Journal of Remote Sensing (2026).

Talks and tutorials

2025
Research seminar, “Causal artificial intelligence for robust and clear blue carbon estimation”, Macquarie University.
2024
Research seminar, “Identifying gene regulatory networks for diagnostic and treatment insights with causal artificial intelligence”, Garvan Institute, UNSW.
2024
Research seminar, “Repurposing drugs for psychiatric disorders with causal artificial intelligence”, IMPACT Institute, Deakin University.
2021
Tutorial, “Machine Learning and Reasoning for Drug Discovery”, ECML-PKDD.
2018
Best Performer talk, “Predict cell locations using gene expression”, DREAM Single Cell Transcriptomics Challenge.