Scholar
Dinh Phung
Google Scholar ID: OtA9SwIAAAAJ
Professor, Monash University
Citations & Impact
Citations
11,330
H-index
45
i10-index
161
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Recent News: Multiple papers accepted to NeurIPS 2025, ICLR 2025, CVPR 2025. Received the Distinguished Contribution Award from the 16th Asian Conference on Machine Learning. Keynote talks at ACML24 and AJCAI24.
Research Experience
- Head, Department of Data Science and AI (2024 - now), Research Director, Department of Data Science and AI (2020 - 2023), Professor of Machine Learning and Data Science, Senior Principal Scientist/Consultant (VinAI Research/VinFast Australia, 2021-now), AI Chief Scientist/Consultant (Trusting Social aka Credit AI, Melbourne, 2017-2020). Also affiliated with the Machine Learning group and the Digital Health Initiatives at Monash.
Education
- Doctor of Philosophy (Computer Science, 2005), Thesis: Probabilistic and Film Grammar Based Methods for Video Content Understanding, Curtin University of Technology, Australia. Bachelor of Computer Science (First Class Honours, 2001), Thesis: An Investigation into Audio for Content Annotation, Curtin University of Technology, Australia.
Background
- Research Interest: Theoretical Foundations of Machine Learning and AI, Optimal Transport and Wasserstein space methods in AI, Generative AI and LLMs, Robust/Adversarial Machine Learning and Trustworthy AI, Revisiting Graphical Models and Causality in the Era of Deep Learning. Earlier research interests: Nonparametric Machine Learning, Graphical Models, Probabilistic Inference, Representation Learning, Latent Variable Models, Optimization, Online learning, Learning from Non-stationary Distributions. Applications: Medical AI and Digital Health, NLP, Cybersecurity and Digital Identity, Computer vision, AI-enabled Autism Research.
Co-authors