معرفی
Dr Erdun Gao is a Grant-Funded Researcher at the Australian Institute for Machine Learning (AIML), part of the Faculty of Sciences, Engineering and Technology at the University of Adelaide. His research focuses on machine learning, causal discovery, multimodal systems, and data hiding techniques. He is eligible to supervise Masters and PhD students as a co-supervisor.
Key research interests include cross-modal learning, domain generalization, federated learning, and scalable causal inference methods. His work addresses challenges such as missing data imputation, adversarial model behavior, and secure information embedding in images. Notable contributions span technical areas like DAG structure learning, diffusion model bias mitigation, and high-order score estimation in incomplete datasets.
Publications from 2019-2025 showcase advancements in both foundational AI theory and applied data science solutions. His team develops algorithms for real-world applications in healthcare, image processing, and secure data transmission.
Dr Gao’s current projects involve:
- Exploring multimodal LLM vulnerabilities through adversarial 'distraction' techniques
- Developing scalable causal discovery frameworks for mixed data types
- Innovating reversible data hiding methods for medical imaging applications
