The Big Media Data Analysis group conducts large-scale multidisciplinary research on unstructured, multi-modal and complex data, achieving human-understandable machine intelligence for multimedia, social media, health data analytics and knowledge discovery.

They develop AI-powered technologies to enable tangible benefits for the whole-of-society, ranging from applications such as autonomous vehicles, image/video content understanding and retrieval, event detection to user behaviour analysis, and recommender systems.

The Big Media Data Analysis Group has been engaged in several crossdisciplinary projects with social science, chemical engineering, and advanced water management teams to extend the boundaries of their research and generate impact to other scientific disciplines.

Project members

Professor Helen Huang

Professor
School of Electrical Engineering and Computer Science
Affiliate of ARC COE for Children and Families Over the Lifecourse
ARC COE for Children and Families Over the Lifecourse