Rate My Professor Thanh Tam Nguyen

Nguyen has produced highly influential publications, including the seminal survey 'Deep Learning for Deepfakes Creation and Detection: A Survey' (2022, 1085 citations), 'A Survey of Machine Unlearning' (2025, 595 citations), 'Artificial Intelligence in the Battle Against Coronavirus (COVID-19): A Survey and Future Research Directions' (2020, 349 citations), 'An Evaluation of Aggregation Techniques in Crowdsourcing' (2013, 272 citations), and 'Monitoring Agriculture Areas with Satellite Images and Deep Learning' (2020, 219 citations). Additional notable works encompass 'FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort' (2020), 'Handling Low Homophily in Recommender Systems with Self-Supervised Learning' (2024), and 'Privacy-Preserving Explainable AI: A Survey' (2025). His research has secured competitive funding, such as an ARC DECRA project on building deep debate evidence systems for youth crime prevention and an Aus4Innovation Partnership Grant empowering smallholder farmers through AI in collaboration with Vietnamese partners. A full member of the Australian Computer Society, he teaches courses like Big Data Analysis (7030ICT) and Computing Algorithms (2801ICT), supervises PhD research on AI-powered skin cancer diagnosis, and serves on program committees for conferences including AAAI-24, WSDM 2023, and ADC 2026. Nguyen's scholarship drives advancements in AI reliability and societal impact.