Associate Supervisor
PhD course, Deakin University, 2024
F975, PhD. Candidate Truong Giang Do. Improving Foundation Models by Addressing the Binding Problem. 2024-2027
Teaching
2024 (1)
2023 (2)
Principle Supervisor
PhD course, Deakin University, 2023
F975, PhD. Candidate Van Dai Do. Efficient And Safe Large Language Models With Reinforcement Learning. 2023-2026
Principle Supervisor
PhD course, Deakin University, 2023
F975, PhD. Candidate Minh Hoang Nguyen.Causal Reinforcement Learning, The Synergistic Relationship between Causal Inference and Reinforcement Learning. 2023-2026
2021 (3)
Associate Supervisor
PhD course (finished), Deakin University, 2021
S913, PhD. Candidate Kha Pham. Memory for Fast Adaptation in Neural Networks. 2021-2024
Associate Supervisor
PhD course, Deakin University, 2021
S913, PhD. Candidate Ragja Palakkadavath. Domain Generalization for Algorithmic Robustness and Fairness. 2022-2025
Associate Supervisor
PhD course (finished), Deakin University, 2021
S913, PhD. Candidate Bao Duong Nguyen. Advanced Machine Learning for Causal Discovery. 2021-2024
2018 (1)
Teaching Assistant
Undergraduate course (finished), Deakin University, 2018
SIT-112, Data Science Concepts. Spring, 2018.