The University of Queensland

Real-time Event Detection, Prediction, and Visualization for Emergency Response (2014–2019)

Abstract:

This project proposes novel end-to-end methods for real-time recognition and prediction of real-world events, leading to timely response to emergencies such as disease outbreaks and natural disasters, as well as prevention of crime, security breaches and the like. The proposed research will develop new techniques to quickly detect and predict events by incorporating adaptive learning and probabilistic models, and address fusion and scalability factors to handle vast collections of heterogeneous data. An event surveillance system prototype will be developed to incorporate the findings of the research with tools to visualize and describe events.

Grant type:

ARC Future Fellowships

Researchers:

• 

  Professor Helen Huang

  Professor
  

  School of Electrical Engineering and Computer Science

  Faculty of Engineering, Architecture and Information Technology

Funded by:

Australian Research Council