Dinh Phung - Main - Supervision

Postdoctoral supervision

2022 - 2023	Dr Pengfei Pang (now Associate Professor at Southeast University, China) Hyperbolic and Riemannian geometry for deep learning, computer vision, optimal transport
2020 - 2022	Dr ChuanXia Zheng (with Jianfei Cai) (now Research Fellow at Oxford) Generative AI, GAN and vision
2019 - 2021	Dr Van Nguyen (with Trung Le]) (now Research Fellow at Monash \| Adelaide Uni) Optimal transport, Domain adaptation, Information-Theoretic Explainability, Deep learning for cybersecurity
2019 - 2022	Dr Ethan Zhao (now Research Scientist at Data61/CSIRO) Deep Learning, Optimal Transport, Topic Models, Robust and Trustworthy Machine Learning
2017 - 2022	Dr Viet Huynh (now Assistant Professor at Edith Cowan University) Optimal transport, Large-scale Bayesian inference, stochastic processes, optimal transport for deep generative models.
2020 - 2020	Dr Tong Zhang (now at EPFL) Deep Learning, Unsupervised Learning, Clustering, Robust and Adversarial Machine Learning
2016 - 2020	Dr Trung Le (now Assistant Professor at Monash) Optimisation, optimal transport, learning theory and scalable machine learning.
2015 - 2019	Dr Tu-Dinh Nguyen (now at Canva \| VinAI \| Lead Research Scientist, Trusting Social) Statistical deep networks, Bayesian inference and large-scale machine learning.
2015 - 2017	Dr Budhaditya Saha (now Senior Data Scientist, Medius Health) Sparse coding, subspace learning, transfer learning and abnormality detection.
2012 - 2017	Dr Thin Nguyen (now Senior Research Scientist, Deakin) Applied machine learning in social media analytics, sentiment analysis and opinion mining.
2012 - 2015	Dr Thi Duong (now Managing Director, Credit AI) Applied Machine Learning in Early Intervention in Autism. (co-supervised with Svetha Venkatesh)
2012 - 2013	Dr Sunil Gupta (now full Professor, Deakin) Bayesian Nonparametric Transfer and Multitask Learning. (co-supervised with Svetha Venkatesh)
2012 - 2013	Dr Santu Rana (now Associate Professor, Deakin) Incremental and Efficient Inference in Dirichlet-based Topic Models. (co-supervised with Svetha Venkatesh)
2008 - 2012	Dr Truyen Tran (now full Professor, Deakin) Nested Undirected Graphical Models. (co-supervised with Svetha Venkatesh).

Current PhD supervision

Prabhash Kumarasinghe
Towards Interpretable Artificial Intelligence for Medical Data Analysis (commenced in 2020)
Prabhash is a PhD student at Monash University, Australia, who is working in the field of Interpretable Artificial Intelligence for the Analysis of Medical Data including brain imagery. His research interests are Interpretable machine learning, CNNs, Online Kernel Learning, etc.
Supervisor(s): Prof Dinh Phung, A/Prof Anuja Dharmaratne.

Past students

Dr Thanh Nguyen PhD, completed 2021 *Adversarial Regularisation and Knowledge Distillation for Deep Learning Tasks* Supervisor(s): Prof Dinh Phung, Prof Jianfei Cai, Dr Ethan Zhao. [2023 - now: AI Research Scientist at Monash Health]
Dr Son Dao PhD, completed 2023 *Toward Open-world Vision Applications by Learning Image-region Representation* Supervisor(s): Prof Jianfei Cai, Prof Dinh Phung. [2023 - now: Research Assistant at Monash University]
Dr Tuan Anh Bui PhD, completed 2023 *Enhancing Adversarial Robustness: Representation, Ensemble, and Distribution Approaches* Supervisor(s): Prof Dinh Phung, Dr Trung Le. [2023 - now: Research Fellow at Monash University]

Dr Trang Vu PhD, completed 2022 *Learning to Adapt Neural Models with Limited Human Supervision in Natural Language Processing* Supervisor(s): A/Prof Reza Haffarri, Prof Dinh Phung. [2022 - now: Assistant Professor at Monash University]
Dr Mahmoud Hossam PhD, completed 2021 *Deep Sequence Models: Learning to Generate Data and Adversarial Attacks* Supervisor(s): Prof Dinh Phung, Dr Trung Le, Dr Ethan Zhao, Dr Viet Huynh. [2021 - now: AI/ML Engineer at GSK]
Dr Dai Quoc Nguyen PhD, completed 2021 *Representation Learning for Graph-Structured Data* Supervisor(s): Prof Dinh Phung, Dr Tu Dinh Nguyen. [2021 - now: Senior Researcher at Oracle]
Dr Hung Vu PhD, completed 2020 *Deep Abnormality Detection in Computer Vision* Supervisor(s): Prof Dinh Phung, Prof Svetha Venkatesh, Dr Tu Dinh Nguyen, Dr Anthony Travers. [2019 - now: Data Scientist at Trusting Social]
Dr Nhan Dam PhD, completed 2020 *Modelling Data with Stochastic Generative Processes* Supervisor(s): Prof Dinh Phung, Dr Trung Le, Dr Viet Huynh. [2020 - now: Applied Research Scientist at VinAI Research]
Dr Khanh Nguyen PhD, completed Oct 2019 *Nonparametric Online Machine Learning with Kernels* Supervisor(s): Prof Dinh Phung, Prof Svetha Venkatesh, Dr Trung Le. [2019 - now: Research Scientist at Credit AI Pty Ltd.]
Dr Dang Nguyen PhD, completed Oct. 2018 *Representation Learning in Complex Data via Pattern Discovery* Supervisor(s): Dr. Wei Luo, Prof Dinh Phung, Prof Svetha Venkatesh. [2018 - now: Postdoc at A2I2, Deakin University.]
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: Data 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: Research Fellow 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.]
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. [2018 - now: Data Scientist at Office for National Statistics, UK \| 2016 - 2018: Postdoc at Deakin University, Australia.]
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. [now: Research Fellow at NUS, Singapore \| 2015-2019: Postdoc at Deakin University, Australia.]
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. [now: Lead Research Scientist, AI Research Lab, Trusting Social, Australia\| 2018-2019: Research Fellow, Monash University, Australia\|2015-2018: 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. [now: Senior Research Fellow, Oxford University, UK \|2015-2018: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. [now: Senior Research Fellow, A2I2 \| 2012-2018: 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