About me

I am Kien Do (a.k.a. Đỗ Đức Kiên). I studied Bachelor of Computer Science (Honours Program) at the University of Engineering and Technology (UET), Vietnam National University Hanoi (VNU Hanoi) from 2010 to 2014 and graduated with high distinction. In 2016, I received a Deakin University Postgraduate Research Scholarship (DUPRS) and started my PhD at the Applied Artificial Intelligence Institute (A2I2) (previously known as the Centre for Pattern Recognition and Data Analytics (PRaDA)) at Deakin University, Australia under the supervision of Dr. Truyen Tran and Prof. Svetha Venkatesh. I completed my PhD in early 2020 and have been working as a Postdoctoral Research Fellow at A2I2. My research interests include Representation Learning, Self-supervised Learning, Generative Models, Adversarial Learning, Disentanglement, and Causal Inference.


2023 Intake (Generalizable Deep Learning): Currently, I am looking for some PhD students who want to work with me on generative models, representation learning, and generalizable AI. Please email me your CV if you are interested in. More information can be found here.
2023 Intake (Deep Learning for Advanced Battery): Besides the main research, I am also leading a research team working on an industrial project about deep learning for advanced battery. Therefore, I also look for some PhD students to work with me on the project-related research topics such as time-series modeling, generative models and representation learning on graphs, and physics-informed machine learning.

31/07/2022 I accpeted an invitation to serve as a reviewer for ICLR-2023.
30/07/2022 I accpeted an invitation to serve as a Program Committee (PC) member for AAAI-2023.
14/07/2022 I was recognized as an Outstanding Reviewer (among the top 10% of reviewers) at ICML-2022 and was awarded a complimentary full registration for ICML-2022. 🤩
09/07/2022 I had two accpeted papers at ECCV-2022 which are "Towards Effective and Robust Neural Trojan Defenses via Input Filtering" and "Black-box Few-shot Knowledge Distillation". Congrats to Dr. Dang Nguyen and other people in the team! 👍
16/03/2022 I gave an online talk as a guest speaker at the AI Lab Webinar held by FPT Software AI Lab. The title of my talk is "Towards Label and Data-Efficient Machine Learning".
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