Rate My Professor Thach-Thao Duong

Dr. Thach-Thao Duong serves as a Senior Lecturer in the School of Information Technology at Murdoch University in Perth, Western Australia. She holds a PhD in Computer Science from Griffith University, completed in 2014 with a thesis titled 'Improving Diversification in Local Search for Propositional Satisfiability,' along with an MSc and BSc. Her research focuses on search heuristics, computer vision, data analytics, machine learning, and data. During her doctoral studies at the Institute for Integrated and Intelligent Systems, Griffith University, and in collaboration with NICTA Queensland Research Laboratory, she contributed to advancements in stochastic local search techniques for satisfiability (SAT) problems. Notable early publications include 'Trap Avoidance in Local Search Using Pseudo-Conflict Directed Backjumping' (2012, AAAI Conference), co-authored with Duc-Nghia Pham and Abdul Sattar; 'A Switching Criterion for Intensification and Diversification in Local Search for SAT' (2012); and 'A method to avoid duplicative flipping in local search for SAT' (2013, Scandinavian Conference on Artificial Intelligence). She received the Best Paper Award at the Australasian Conference on Artificial Intelligence (AI 2013) for her work in this area.

At Murdoch University, Duong's recent research explores contemporary topics in artificial intelligence, including multi-modal large language models and gamified interactions in virtual environments. Key publications include 'A systematic review of multi-modal large language models on domain-specific applications' (2025, Artificial Intelligence Review, Vol. 58, Issue 12), co-authored with Sirui Li, Kok Wai Wong, and Guanjin Wang, which analyzes applications in medicine, autonomous driving, climate, and other domains following PRISMA guidelines; and 'Designing Gamified Social Interaction for Gen Z in the Metaverse: A Framework-Oriented Approach' (2026, Journal of Metaverse, Vol. 6), with Baitong Xie, Mohd Fairuz Shiratuddin, Mostafa Hamadi, and Joo Yeon Park. Additional works encompass 'Probability-based Scoring for Normality Map in Brain MRI Images from Normal Control Population' (2016, VISAPP). With 112 citations on Google Scholar, her contributions influence optimization and AI fields. Duong serves on program committees for AAAI 2026 and as a reviewer for NeurIPS 2025, ICLR 2024, and ICML 2024. She supervises PhD scholarships in stochastic optimisation, machine learning, and artificial intelligence within the School of Information Technology.