Scholar
Thanh Tam Nguyen
Google Scholar ID: NeJMcjYAAAAJ
Lecturer, Griffith University
Citations & Impact
Citations
3,933
H-index
31
i10-index
61
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Published 70+ papers (40+ CORE A*, 15+ CORE A, 55+ as the first or corresponding author) in top-tier conferences (e.g., SIGMOD, VLDB, SIGIR, ICDE, IJCAI) and high-impact journals (e.g., VLDBJ, TKDE, Pattern Recognition, CSUR). His research has attracted over 4600+ citations (h-index 35+). Since 2020, he has been awarded over $1M in funding from government schemes (DFAT, A4I, AKF, etc.), industrial partners (CSIRO, Ubitech, Cybella, J&J, Phacogen, etc.), and international bodies (NAFOSTED, ETRI, KARI, KARN, SIU, etc.). His work on machine unlearning has been cited in the International AI Safety Report 2025 (chaired by Turing-award winner Yoshua Bengio and written by top 100 AI experts) as a pioneering paradigm to remove sensitive information or harmful data from trained AI models.
Research Experience
- Currently a Lecturer (Assistant Professor) at Griffith University, Australia. He has served as a PC member for several A*/A conferences such as VLDB, WSDM, AAAI, IJCAI, etc. He is a guest editor of IEEE Journal of Biomedical and Health Informatics, an area chair of ACL and EMNLP, and a program chair of ADC and PDCAT.
Education
- Earned his PhD degree in Computer Science from EPFL (Switzerland) in 2019; Postdoc at the International Leibniz Future Laboratory for Artificial Intelligence, Germany.
Background
- Research interests include Big Data, Social Network Mining, Stream Processing, Privacy-Preserving ML, and Recommender Systems, with a special focus on Retrieval Engines, Trust Models, Explainable AI, and Graph Neural Networks for data lakes, social networks, and event streams. His research aims to advance Big Data and Smart technologies by developing efficient algorithms that enhance data integration, processing, and analysis, ensuring transparency and trust in data-driven decisions.
Miscellany
- He is a Fellow of Higher Education Academy (FHEA). Collaborations include Prof. Karl Aberer (SWTR Fellow) at Ecole Polytechnique Federale de Lausanne (Switzerland), Prof. Wolfgang Nejdl (Acatech Fellow) at International Future Lab for AI, Prof. Björn W. Schuller (IEEE Fellow) at Imperial College London (UK), Prof. Matthias Weidlich (Fellow of the German Informatics Society) at Humboldt-Universität zu Berlin (Germany), Prof. Hongzhi Yin (ARC Future Fellow) at The University of Queensland, Prof. Xiaofang Zhou (IEEE Fellow) at Hong Kong University of Science and Technology, and Prof. Alan Wee-Chung Liew (Queensland Academy Fellow) at Griffith University.
