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Dr. Thanh Tam Nguyen is a Senior Lecturer and ARC Discovery Early Career Researcher Award (DECRA) Fellow in the School of Information and Communication Technology at Griffith University. He earned his PhD in Computer Science. His research specializations and academic interests lie in big data analytics, social network mining, stream data processing, responsible AI, machine unlearning, deepfake creation and detection, crowdsourcing aggregation techniques, AI for pandemic response, satellite image analysis for agriculture, privacy-preserving explainable AI, and federated recommendation systems. Nguyen's contributions address critical challenges in trustworthy data management and intelligent systems across social, health, and agricultural domains.
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.
