Postdoctoral supervision

2017 - now Dr Viet Huynh
Large-scale Bayesian inference, stochastic processes, optimal transport for deep generative models.
2015 - now Dr Tu-Dinh Nguyen
Statistical deep networks, Bayesian inference and large-scale machine learning.
2014 - now Dr Trung Le
Online learning, learning theory and scalable machine learning.
2015 - 2017 Dr Budhaditya Saha

Sparse coding, subspace learning, transfer learning and abnormality detection.

2012 - 2017 Dr Thin Nguyen
Applied machine learning in social media analytics, sentiment analysis and opinion mining.
2012 - 2015 Dr Thi Duong
Applied Machine Learning in Early Intervention in Autism.
(co-supervised with Svetha Venkatesh)
2012 - 2013 Dr Sunil Gupta
Bayesian Nonparametric Transfer and Multitask Learning.

(co-supervised with Svetha Venkatesh)

2012 - 2013 Dr Santu Rana
Incremental and Efficient Inference in Dirichlet-based Topic Models.
(co-supervised with Svetha Venkatesh)
2008 - 2012 Dr Truyen Tran
Nested Undirected Graphical Models.
(co-supervised with Svetha Venkatesh).

Current PhD supervision

Quan Hoang
Disentangling Generative Models for Representation Learning and Applications (commenced in 2019)
Quan is interested in unsupervised representation learning in general. His current research focuses on Deep Generative Models, including Generative Adversarial Nets (GAN) and Variational AutoEncoder (VAE) as well as their applications.
Co-supervisor(s): Dr. Tu Dinh Nguyen, Dr. Trung Le.

Mahmoud Hossam
Deep Generative Models for Sequence Learning (commenced in 2017)
Mahmoud is interested in sequence learning in general. His current focus is on deep sequential generative models, text/discrete data generation, and related AI applications.
Co-supervisor(s): Prof. Geoff Webb, Dr. Trung Le, Dr. Tu Dinh Nguyen.

Van Nguyen
Deep Automatic Methods for Software Vulnerability Detection (commenced in 2017)
Van Nguyen research covers the area of Time-Series Graphical and Mixture Models with Kernels, Deep Learning and Cyber Security.
Co-supervisor(s): Dr. Trung Le.

Dai Nguyen
Representation Learning for Graph-Structured Data (commenced in 2017)
Dai is interested in learning representations for graph-structed data such as knowledge graphs and graph networks in general.
Co-supervisor(s): Dr. Tu Dinh Nguyen.

Khanh Nguyen
Nonparametric Online Machine Learning with Kernels (commenced in 2016)
Khanh’s research interests mainly focus on Bayesian inference in kernel method to detect anomalies.
Co-supervisor(s): Prof. Svetha Venkatesh, Dr. Trung Le.

Hung's website

Hung Vu
Deep Abnormality Detection in Computer Vision (commenced in 2016)
Hung is interested in detecting abnormal events in Computer Vision-based applications. His research focuses on Restricted Boltzmann Machines (RBM) and developing the novel algorithms for effectively training RBM models.
Co-supervisor(s): Prof. Svetha Venkatesh, Dr. Tu Dinh Nguyen and Dr Anthony Travers

Nhan's website

Nhan Dam
Modelling Data with Stochastic Generative Processes (commenced in July 2016)
The thesis targets point pattern data modelling by employing random finite sets, probabilistic graphical models and Bayesian nonparametrics.
Co-supervisor(s): Dr Trung Le, Dr Viet Huynh


Past students

Binh's website

Dr Thanh-Binh Nguyen
PhD, completed May 2018
Making Sense of Pervasive Signals: a Machine Learning Approach
Supervisor(s): Prof. Dinh Phung, Prof. Svetha Venkatesh, Prof. Terry Caelli, Dr. Wei Luo.
[2018 - now: Junior Research Scientist at Credit AI Pty Ltd.]

Dr Quang N. Tran
PhD, completed 2017
Classification, Novelty Detection and Clustering for Point Pattern Data
Supervisor(s): Prof. Ba-Ngu Vo (Curtin), Prof. Ba-Tuong Vo (Curtin), Prof. Dinh Phung,
[2017 - now: .]

Dr Viet Huynh
PhD, completed 2017
Towards Scalable Bayesian Nonparametric Methods for Data Analytics
Supervisor(s): Prof. Dinh Phung, Prof. Svetha Venkatesh
[2018 - now: Postdoc at Monash University, Australia, 2017 - 2018: Postdoc at Deakin University, Australia.]

Dr Shivapratap Gopakumar
PhD, completed 2017
Machine learning in healthcare: an investigation into model stability
Supervisor(s): Prof. Dinh Phung, Prof. Svetha Venkatesh, Dr. Truyen Tran
[2017 - now: Postdoc at Deakin University, Australia.]

Dr Adham Beyki
PhD, completed Dec. 2016
Knowledge Discovery in Social Media for Mental Care: A Case Study with Autism
Supervisor(s): Prof. Dinh Phung, Prof. Svetha Venkatesh, Prof. Terry Caelli, Dr Ognjen Arandjelovic.
[2016 - now: Postdoc at Deakin University, Australia.]

Dr Iman Kamkar
PhD, completed Nov. 2016
Building stable predictive models for healthcare applications: a data-driven approach
Supervisor(s): Prof. Dinh Phung, Prof. Svetha Venkatesh, Dr Sunil Gupta.

Dr Bo D. Dao
PhD, completed Nov. 2016
Social Media as Sensor for Healthcare: A Machine Learning Approach
Supervisor(s): Dr Thin Nguyen, Prof. Dinh Phung, Prof. Svetha Venkatesh.
[2016 - now: Postdoc at Deakin University, Australia.]

Pratibha's website

Dr Pratibha Vellanki
PhD, completed Aug. 2016
Applied Machine Learning for Personalized Early Intervention in Autism
Supervisor(s): Prof. Dinh Phung, Prof. Svetha Venkatesh, Dr Thi Duong.
[2016 - now: Postdoc at Deakin University, Australia.]

Xin's website

Dr Xin Zhang
PhD, completed July 2016
Sparse representation for face images
Supervisor(s): Prof. Svetha Venkatesh, Dr Duc-Son Pham, A/Prof Wanquan Liu, Prof. Dinh Phung

Dr Cheng Li
PhD, completed Aug 2015.
Exploiting Side Information in Bayesian Nonparametric Models and Applications
Supervisor(s): A/Prof. Dinh Phung, Prof. Svetha Venkatesh, Dr. Santu Rana.
[2015 - now: Postdoc at Deakin University, Australia.]

Tu's website

Dr Tu Dinh Nguyen
PhD, completed Apr 2015.
Structured Representation Learning from Complex Data
Supervisor(s): A/Prof. Dinh Phung, Prof. Svetha Venkatesh, Dr. Truyen Tran.
[2015 - now: Postdoc at Deakin University, Australia.]

Dr Thuong C. Nguyen
PhD, completed Apr 2015.
Bayesian Nonparametric Learning of Contexts and Activities from Pervasive Signals
Supervisor(s): A/Prof. Dinh Phung, Prof. Svetha Venkatesh, Dr. Sunil Gupta.
[2018 - now: Research Scientist at Credit AI Pty Ltd, 2016 - 2018: Postdoc at CSRIO, 2015 - 2016: Postdoc at RMIT]

Dr Tien-Vu Nguyen
PhD, completed Apr 2015.
Bayesian Nonparametric Multilevel Modelling and Applications
Supervisor(s): A/Prof. Dinh Phung, Prof. Svetha Venkatesh.
[2015 - now: Postdoc at Deakin University, Australia.]

Dr Thin K. Nguyen
PhD, completed Jan 2012.
A Sentiment Based Approach to Pattern Discovery and Classification in Social Media
Supervisor(s): Dr. Dinh Phung and Dr. Brett Adams.
[2012 - now: Postdoc at Deakin University, Australia.]

Dr Sunil K. Gupta
PhD, completed 2011.
Unsupervised Modeling of Multiple Data Sources: A Latent Shared Subspace Approach
Supervisor(s): Prof. Svetha Venkatesh and Dr. Dinh Phung.
[2018 - now: Associate Professor at Deakin University, Australia, 2012 - 2018: Lecturer at Deakin University, Australia, 2011 - 2102: Postdoc at Curtin University]

Dr Truyen T. Tran
PhD, completed Feb 2008.
On Conditional Random Fields: Applications, Feature Selection, Parameter Estimation and Hierarchical Modelling
Supervisor(s): Prof. Svetha Venkatesh, Dr. Dinh Phung, Dr. Hung Bui.
[2018 - now: Associate Professor at Deakin University, Australia, 2013 - 2018: Lecturer at Deakin University, Australia, 2008 - 2012: Postdoc at Curtin University]

Dr Thi V. Duong
PhD, completed March 2008.
Efficient Duration Modelling in the Hierarchical Hidden Markov Semi-Markov Models and Their Applications
Supervisor(s): Prof. Svetha Venkatesh, Dr. Dinh Phung, Dr. Hung Bui.

Dung T. Tran
Master, completed Nov. 2007.
An Approach to Activity Recognition Using Multiple Sensors

Supervisor(s): Prof. Venkatesh, Dr. Dinh Phung, Dr. Hung Bui.

William Cox
Honours, completed Nov. 2007 with first-class honours.
Classification, Retrieval and Updating using Latent Semantic Analysis on a Text and an Image Corpus

Supervisor(s): Dr. Dinh Phung