Projects per year
Personal profile
Biography
Dinh Phung is a Professor of Machine Learning and DS in the Faculty of Information Technology, Monash University, Australia. He is also currently the Director of Research and Engagement in the newly established Department of Data Sciience and AI in the Faculty.
His primary interest includes theoretical and applied machine learning with a current focus on deep learning, robust and adversarial ML, optimal transport and point process theory for ML, generative AI, Bayesian nonparametrics and graphical models. He publishes regularly, with over 250+ publications, in the areas of machine learning, AI, data science and application domains such as natural language processing (NLP), computer vision, digital health, cybersecurity and autism. He is also a technical consultant as Director of AI Research for Trusting Social - an AI Fintech company whose aim is to advance data science and AI to provide financial access for all. He is also known in Vietnamese as Phùng Quốc Định and his personal website is located here.
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.
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 Sep 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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
Towards Robust Learning Systems via Amortized Optimization and Domain Adaptation
Le, T., Phung, D., Xiang, Y., Zhang, J., Erfani, S., Rubinstein, B., Leckie, C., Nock, R. & Knight, K.
15/04/19 → 30/06/21
Project: Research
Using social media data to identify markers of depression risk among individuals: A longitudinal cohort study
O'Dea, B., Larsen, M. E., Venkatesh, S., Phung, D. & Glozier, N.
1/01/19 → 31/12/21
Project: Research
Deep Learning for Cyber (Data61 CRP 38)
Phung, D., Le, T., Xiang, Y., Zhang, J., Wen, S., Murray, T. & Nock, R.
15/06/18 → 30/06/21
Project: Research
ARC Research Hub for Digital Enhanced Living
Mouzakis, K., Grundy, J., Venkatesh, S., Maeder, A. J., Hutchinson, A. M., Berk, M., Maddison, R., Kouzani, A. Z., Vasa, R., Calvo, R., Christensen, H. M., Williams, P., Phung, D., Yearwood, J., Gordon, S., Powers, D. M. W., Wickramasinghe, N., Bidargaddi, N., Rana, S., Tran, T., Gupta, S., Luo, W., Abdelrazek, M., Tan, F. T. C., Langberg, H., Kayser, L., Kensing, F., Bodendorf, F., Hansen, J. P., Warren, J. R., Sinha, R., Smeaton, A., Aitken, I., Voukelatos, F., Fiebig, J., Serroni, D., Farquhar, C., Nagarajan, R., Tripodi, B., Biggin, J., Fouyaxis, J., Gerasimou, E., Varley, D., Pitcher, M. & Rudolph, C.
Interrelate Limited, Health Metrics Pty Ltd, Uniting Care NSW ACT, Neoproducts Pty Ltd, Dementia Australia Limited, Uniting Agewell Limited, Black Dog Institute, Monash University – Internal Faculty Contribution
15/03/18 → 14/03/22
Project: Research
Cardiorespiratory function as a non-invasive biomarker for detecting seizures with artificial intelligence: Utilising data from long-term patient recordings from an epilepsy monitoring unit
O'Brien, T., Kwan, P., Sivathamboo, S., Perucca, P., Ge, Z., Le, T., Phung, D., Bonnington, P. & Piccenna, L.
8/04/19 → 8/04/20
Project: Research
Research Output
Code Action Network for binary function scope identification
Nguyen, V., Le, T., Le, T., Nguyen, K., de Vel, O., Montague, P., Grundy, J. & Phung, D., 2020, Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020 Singapore, May 11–14, 2020 Proceedings, Part I. Lauw, H. W., Wong, R. C-W., Ntoulas, A., Lim, E-P., Ng, S-K. & Pan, S. J. (eds.). Cham Switzerland: Springer, p. 712-725 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12084 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access
File
Deep Cost-Sensitive Kernel Machine for binary software vulnerability detection
Nguyen, T., Le, T., Nguyen, K., de Vel, O., Montague, P., Grundy, J. & Phung, D., 2020, Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020 Singapore, May 11–14, 2020 Proceedings, Part II. Lauw, H. W., Wong, R. C-W., Lim, E-P., Ntoulas, A., Ng, S-K. & Pan, S. J. (eds.). Cham Switzerland: Springer, p. 164-177 14 p. (Lecture Notes in Computer Science; vol. 12085 ).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access
File
Dual-component deep domain adaptation: a new approach for cross project software vulnerability detection
Nguyen, V., Le, T., de Vel, O., Montague, P., Grundy, J. & Phung, D., 2020, Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020 Singapore, May 11–14, 2020 Proceedings, Part I. Lauw, H. W., Wong, R. C-W., Ntoulas, A., Lim, E-P., Ng, S-K. & Pan, S. J. (eds.). Cham Switzerland: Springer, p. 699-711 13 p. (Lecture Notes in Computer Science ; vol. 12084 ).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access
Learning how to active learn by dreaming
Vu, T. T., Liu, M., Phung, D. & Haffari, G., Jul 2020, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Korhonen, A., Traum, D. & Màrquez, L. (eds.). Florence Italy: Association for Computational Linguistics (ACL), p. 4091-4101 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access
File
1
Citation
(Scopus)
Pair-based uncertainty and diversity promoting early active learning for Person Re-identification
Liu, W., Chang, X., Chen, L., Phung, D., Zhang, X., Yang, Y. & Hauptmann, A. G., Jan 2020, In : ACM Transactions on Intelligent Systems and Technology. 11, 2, 15 p., 21.Research output: Contribution to journal › Article › Research › peer-review
2
Citations
(Scopus)