Primary supervisor

Bernd Meyer

Co-supervisors

  • Lucille Chapuis (La Trobe)

This project is part of of our broader initiative in the Environmental Informatics Hub to develop technologies that  effectively support conservation and biodiversity research. It develops methods for the autonomous long-term monitoring of coral reef health.

We are part of the Tara Coral mission (see below) and work closely with marine biologists to develop automated methods that will meet real-world needs for this important area. 

 

Aim/outline

The project focuses predominantly on deep learning for bio-acoustics, specifically a new approach to so-called acoustic indices, but data fusion with visual and abiotic sensors will also be considered.

URLs/references

 

  • https://fondationtaraocean.org/en/expedition/tara-coral/
  • https://www.monash.edu/it/environmental-informatics-hub

Required knowledge

  • Interdisciplinary interests,
  • solid skills in deep learning and traditional machine learning, including the usual software environments 
  • ability to handle large data pipelines (each of the reefs has about 1 TB of data)