Thanh-Toan Do

Thanh-Toan (Toan) Do is a Senior Lecturer at the Department of Data Science and AI, Faculty of Information Technology, Monash University. He obtained his Ph.D. in computer science from INRIA (2012) and previously held positions as a Research Fellow at the Singapore University of Technology and Design (2013–2016), the Australian Centre for Robotic Vision (2016–2018), and a Lectureship at the University of Liverpool (2018–2020).

His research spans Computer Vision and Machine Learning, with emphasis on:

• Compact Deep Learning (efficient model architectures)
• Few-Shot Learning (generalization from minimal data)
• Metric Learning (similarity optimization)
• Visual Search & Visual Question Answering (multimodal AI systems)

His publications (2023–2025) focus on generative modeling (e.g., diffusion models), noisy-label robustness, human-AI collaboration, and assistive healthcare technology. Trends indicate strong cross-disciplinary integration with HCI and medical applications.

Awards:

• Harold Boley Award for Most Promising Paper (RuleML+RR 2021)
• CVPR 2019 Best Paper Finalist

He is a Chief Investigator in the 2022–2025 project Large-scale multimodal knowledge management (Australian grant). Actively advises PhD students and leads research in deep learning efficiency and vision-language models.