Projects per year
Personal profile
Biography
Professor Dinh Phung is the Head of the Department of Data Science and AI at Monash University. His research interest includes machine learning, deep learning, generative AI, robust and trustworthy AI, optimal transport, Bayesian and graphical models. He has published 250+ papers in these areas and application domains such as natural language processing (NLP), computer vision, digital health, cybersecurity and autism.
Prospective PhD students, Postdocs and Tutors: Thank you for your interest and for reaching out to me. While I'm keen on receiving strong applications and your EoI, due to the large volume of such emails, please accept my apology in advance if you do not receive a response from me individually as I might only be able to respond to short-listed or selected EoI. Please see this link for further information regarding PhD scholarship and admission at Monash.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, Doctor of Philosophy, Curtin University
Award Date: 17 Jun 2005
Computer Science, Bachelor of Science (Honours), Curtin University
Award Date: 3 Sept 2001
Research area keywords
- Machine Learning
- artificial intelligence
- deep learning
- representation learning
- Bayesian statistics
- graphical models
- generative AI
- optimal transport
- robust and adversarial machine learning
- NLP and computer vision
- digital health
- cybersecurity
- medical AI
- autism
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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TMLGenAI: Trustworthy Generative AI: Towards Safe and Aligned Foundation Models
Phung, D. (Primary Chief Investigator (PCI)), Vu, T. (Chief Investigator (CI)), Qu, L. (Chief Investigator (CI)), Le, T. (Chief Investigator (CI)), Haffari, R. (Chief Investigator (CI)), Webb, G. (Chief Investigator (CI)), Nicholson, A. (Chief Investigator (CI)), Ke, Q. (Chief Investigator (CI)), Cai, J. (Chief Investigator (CI)) & Bui, T. (Chief Investigator (CI))
11/06/24 → 10/07/26
Project: Research
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Robust Machine Learning: Data Efficient and Geometric Optimal Transport for Robust Machine Learning
Le, T. (Primary Chief Investigator (PCI)), Phung, D. (Chief Investigator (CI)), Pham, T. D. (Chief Investigator (CI)), Tran, T. (Chief Investigator (CI)) & Bui, H. (Chief Investigator (CI))
30/09/23 → 29/09/25
Project: Research
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Exploiting Geometries of Learning for Fast, Adaptive and Robust AI
Phung, D. (Primary Chief Investigator (PCI)), Tafazzoli Harandi, M. (Chief Investigator (CI)), Hartley, R. I. (Chief Investigator (CI)), Le, T. (Chief Investigator (CI)) & Koniusz, P. (Partner Investigator (PI))
Australian Research Council (ARC)
8/05/23 → 7/05/26
Project: Research
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Towards Robust Learning Systems (Extension 23-24): Towards Robust Learning Systems via Amortized Optimization and Domain Adaptation (Extension 2022-23)
Phung, D. (Primary Chief Investigator (PCI)), Le, T. (Chief Investigator (CI)), Xiang, Y. (Chief Investigator (CI)), Zhang, J. (Chief Investigator (CI)), Erfani, S. (Chief Investigator (CI)), Leckie, C. (Chief Investigator (CI)) & Rubinstein, B. (Chief Investigator (CI))
Department of Defence (Australia)
15/04/23 → 15/10/25
Project: Research
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Quantum Information Technology: Quantum Information Technology: Industry Readiness & Applications
Steinfeld, R. (Primary Chief Investigator (PCI)), simmons, M. (Chief Investigator (CI)), Usman, M. (Chief Investigator (CI)), Phung, D. (Chief Investigator (CI)), Tack, G. (Chief Investigator (CI)), Pas, E. (Chief Investigator (CI)), Sakzad, A. (Associate Investigator (AI)), Cui, S. (Associate Investigator (AI)), Aleti, A. (Associate Investigator (AI)), Garcia De La Banda Garcia, M. (Associate Investigator (AI)), Nakashima, P. (Associate Investigator (AI)), Schmidt, D. (Associate Investigator (AI)), Esgin, M. (Associate Investigator (AI)) & Fay, J. (Associate Investigator (AI))
1/01/23 → 31/12/27
Project: Research
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Active Continual Learning: On Balancing Knowledge Retention and Learnability
Vu, T.-T., Khadivi, S., Ghorbanali, M., Phung, D. & Haffari, G., 2025, AI 2024, AI 2024: Advances in Artificial Intelligence, 37th Australasian Joint Conference on Artificial Intelligence, AI 2024 Melbourne, VIC, Australia, November 25–29, 2024 Proceedings, Part II. Gong, M., Song, Y., Koh, Y. S., Xiang, W. & Wang, D. (eds.). Singapore Singapore: Springer, p. 137-150 14 p. (Lecture Notes in Computer Science; vol. 15443).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
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MetaAug: Meta-Data Augmentation for Post-Training Quantization
Pham, C., Anh Dung, H., Nguyen, C. C., Le, T., Phung, D., Carneiro, G. & Do, T.-T., 2025, Computer Vision – ECCV 2024, 18th European Conference Milan, Italy, September 29–October 4, 2024 Proceedings, Part XXVII. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham Switzerland: European Conference On Computer Vision, p. 236–252 17 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities
Fu, M., Tantithamthavorn, C., Le, T., Kume, Y., Nguyen, V., Phung, D. & Grundy, J., 2024, In: Empirical Software Engineering. 29, 1, 33 p., 4.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile15 Citations (Scopus) -
Bridging Global Context Interactions for High-Fidelity Pluralistic Image Completion
Zheng, C., Song, G., Cham, T.-J., Cai, J., Luo, L. & Phung, D., Dec 2024, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 46, 12, p. 8320-8333 14 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
Class enhancement losses with pseudo labels for open-vocabulary semantic segmentation
Dao, S. D., Shi, H., Phung, D. & Cai, J., 2024, In: IEEE Transactions on Multimedia. 26, p. 8442-8453 12 p.Research output: Contribution to journal › Article › Research › peer-review
5 Citations (Scopus)
Activities
- 1 Membership of an advisory panel/policy group/ board
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Victorian Parliamentary Library (External organisation)
Batstone, J. (Member) & Phung, D. (Contributor)
19 Oct 2023Activity: Industry, Government and Philanthropy Engagement and Partnerships › Membership of an advisory panel/policy group/ board