Associate Supervisor of Manh Nguyen
PhD course, Deakin University, 2024
F975, PhD. Candidate Manh Nguyen. Understand Large Language Models with Counterfactual Explaination. 2024-2027
Teaching
2024 (2)
Associate Supervisor of Truong Giang Do
PhD course, Deakin University, 2024
F975, PhD. Candidate Truong Giang Do. Improving Foundation Models by Addressing the Binding Problem. 2024-2027
2023 (2)
Principle Supervisor of Van Dai Do
PhD course, Deakin University, 2023
F975, PhD. Candidate Van Dai Do. Efficient And Safe Large Language Models With Reinforcement Learning. 2023-2026
Principle Supervisor of Minh Hoang Nguyen
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 of Kha Pham
PhD course (finished), Deakin University, 2021
S913, PhD. Candidate Kha Pham. Memory for Fast Adaptation in Neural Networks. 2021-2024
Associate Supervisor of Ragja Palakkadavath
PhD course, Deakin University, 2021
S913, PhD. Candidate Ragja Palakkadavath. Domain Generalization for Algorithmic Robustness and Fairness. 2022-2025
Associate Supervisor of Bao Duong Nguyen
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.