Dinh Phung

Professor

Accepting PhD Students

20132022
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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 consultant in providing Research Directorship for the AI and Machine Learning Research Lab for Trusting Social - an AI Fintech company whose aim is to advance data science and AI to provide financial access for all.

Prof Dinh Phung is currently the Chief Examiner for the new FIT3181 Deep Learning unit, which will be offered in 2019. His personal website is at: dinhphung.ml and he's also known in Vietnamese as Phùng Quốc Định.

Keywords

  • Machine Learning
  • artificial intelligence
  • deep learning
  • representation learning
  • Bayesian statistics
  • graphical models
  • learning from non-stationary distributions
  • deep generative models
  • data science
  • autism

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Projects 2018 2022

Stay Well: Analysing Lifestyle Data from Smart Monitoring Devices (ARC DP)

Phung, Q. D., Venkatesh, S. & Kumar, M.

18/06/1831/12/18

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. 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.

Monash University – Internal Faculty Contribution

15/03/1814/03/22

Project: Research

Research Output 2013 2018

Academia versus social media: a psycho-linguistic analysis

Nguyen, T., Venkatesh, S. & Phung, D., Mar 2018, In : Journal of Computational Science. 25, p. 228-237 10 p.

Research output: Contribution to journalArticleResearchpeer-review

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 journalArticleResearchpeer-review

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, 94.

Research output: Contribution to journalArticleResearchpeer-review

Geometric Enclosing Networks

Le, T., Vu, H., Nguyen, T. D. & Phung, D., 2018, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18). Lang, J. (ed.). California USA: International Joint Conferences on Artificial Intelligence, p. 2355-2361 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

GoGP: scalable geometric-based Gaussian process for online regression

Le, T., Nguyen, K., Nguyen, V., Nguyen, T. D. & Phung, D., 1 Jan 2018, (Accepted/In press) In : Knowledge and Information Systems. 30 p.

Research output: Contribution to journalArticleResearchpeer-review