Research Supervision

Postdoctoral supervision

2015 - now Dr Tu-Dinh Nguyen
Statistical deep networks, Bayesian inference and large-scale machine learning.
2015 - now Dr Budhaditya Saha

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

2014 - now Dr Trung Le
Online learning, learning theory and scalable machine learning.
2012 - now Dr Thin Nguyen
Applied machine learning in social media analytics, sentiment analysis and opinion mining.
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)
2012 - 2015 Dr Thi Duong
Applied Machine Learning in Early Intervention in Autism.
(co-supervised with Svetha Venkatesh)
2008 - 2012 Dr Truyen Tran
Nested Undirected Graphical Models.
(co-supervised with Svetha Venkatesh).

Current PhD supervision

Khanh's website

Khanh Nguyen
Sparse Adaptive Multi-Hyperplane Machine (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

Quang's website

Nhat-Quang Tran
Point Process for Machine Learning (commenced in 2013, Curtin University, Australia)
Quang's PhD work looks at developing novel machine learning methods using point process theory, in particular, random finite set (RFS)
Co-supervised with Prof. Ba-Ngu Vo (Curtin) and A/Prof. Ba-Tuong Vo (Curtin)

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): Prof. Svetha Venkatesh

Hung Nguyen's website

Hung Nguyen
Monitoring Mental Health through Social Media (commenced in October 2016)
Hung's research interests mainly focus on developing new methods for predicting individual/population health outcomes through social media.
Co-supervisor(s): Dr. Thin Nguyen


Past students and postdocs

Binh's website

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.]

Viet's website

Viet Huynh
PhD, completed 2017
Scalable Bayesian Learning for Correlated Data Sources
Supervisor(s): Prof. Dinh Phung, Prof. Svetha Venkatesh
[2017 - now: Postdoc at Deakin University, Australia.]

Shivapratap's website

Shivapratap Gopakumar
PhD, completed 2017
Leveraging Side Information to Improve Clinical Prediction Models
Supervisor(s): Prof. Dinh Phung, Prof. Svetha Venkatesh, Dr. Truyen Tran
[2017 - now: Postdoc at Deakin University, Australia.]

Adham's website

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.]

Iman's website

Iman Kamkar
PhD, completed Nov. 2016
An Investigation into Deep Learning for Medical Data Analysis
Supervisor(s): Prof. Dinh Phung, Prof. Svetha Venkatesh, Dr Sunil Gupta.

Bo's website

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

Cheng's website

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.]

Thuong's website

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.
[2016 - now: Postdoc at CSRIO, 2015 - 2016: Postdoc at RMIT]

Vu's website

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.]

Thin's website

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.]

Sunil's website

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.
[2012 - now: Lecturer at Deakin University, Australia, 2011 - 2102: Postdoc at Curtin University]

Truyen's website

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.
[2013 - now: Lecturer at Deakin University, Australia, 2008 - 2012: Postdoc at Curtin University]

Thi's website

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