Projects per year
Personal profile
Biography
Dinh Phung is a Professor of Machine Learning and Data Science in the Faculty of Information Technology, Monash University, Australia. He is a leading researcher at the forefront of theoretical and applied machine learning with a current focus on generative deep learning, Bayesian nonparametrics and graphical models, optimal transport and point process theory for machine learning. He publishes regularly in the areas of machine learning, AI and data science. He is also a technical counsultant in providing Research Directorship for the Melbourne-based AI and Machine Learning Research Laboratory for Trusting Social - an AI-first Fintech company whose aim is to advance data science and AI to provide financial access for all.
Personal website: dinhphung.ml
Keywords
- artificial intelligence, machine learning, generative deep learning, representation learning, Bayesian statistics, graphical models, learning from non-stationary distributions, data science, autism
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Projects 2018 2022
- 3 Active
Nonparametric Machine Learning for Modern Data Analytics (ARC DP)
18/06/18 → 31/12/19
Project: Research
Stay Well: Analysing Lifestyle Data from Smart Monitoring Devices (ARC DP)
Phung, Q. D., Venkatesh, S. & Kumar, M.
18/06/18 → 31/12/18
Project: Research
ARC Research Hub for Digital Enhanced Living
Mouzakis, K., Grundy, J. C., Venkatesh, S., Maeder, A. J., Hutchinson, A., Berk, M., Maddison, R., Kouzani, A. Z., Vasa, R., Calvo, R., Christensen, H. M., Williams, P., Phung, Q. D., Yearwood, J., Gordon, S., Powers, D. M., 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.
Monash University – Internal Faculty Contribution
15/03/18 → 14/03/22
Project: Research
Research Output 2013 2018
Discovering topic structures of a temporally evolving document corpus
Beykikhoshk, A., Arandjelović, O., Phung, D. & Venkatesh, S. 1 Jun 2018 In : Knowledge and Information Systems. 55, 3, p. 599-632 34 p.Research output: Contribution to journal › Article
Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding
Nguyen, D., Luo, W., Venkatesh, S. & Phung, D. 1 May 2018 In : Journal of Medical Systems. 42, 5, 94Research output: Contribution to journal › Article
Learning graph representation via frequent subgraphs
Nguyen, D., Luo, W., Nguyen, T. D., Venkatesh, S. & Phung, D. 1 Jan 2018 p. 306-314 9 p.Research output: Contribution to conference › Paper
Model-based learning for point pattern data
Vo, B. N., Dam, N., Phung, D., Tran, Q. N. & Vo, B. T. 1 Dec 2018 In : Pattern Recognition. 84, p. 136-151 16 p.Research output: Contribution to journal › Article
PC chairs’ preface
Phung, D. & Tseng, V. S. 1 Jan 2018 In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10937 LNAIResearch output: Contribution to journal › Editorial