Dinh Phung


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Personal profile


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.

I am currently the Chief Examiner for the new FIT3181 Deep Learning unit, which will be offered in 2019. My  personal website is at: dinhphung.ml and I'm also known in Vietnamese as Phùng Quốc Định.


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

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2018 2022

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

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


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


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 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

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 conferencePaperOtherpeer-review

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 journalArticleResearchpeer-review

PC chairs’ preface

Phung, D. & Tseng, V. S. 1 Jan 2018 In : Lecture Notes in Computer Science. 10937 LNAI

Research output: Contribution to journalEditorialOtherpeer-review