The impact of climate change on human and fauna has led to advances in sensing technologies which have enabled environmental monitoring over a large area and a long period of time.
Multiple networks have been set up around the world to monitor biodiversity using terrestrial acoustic sensors. Timely and appropriate analysis of the big archive of environmental sound becomes a great challenge.
The research question that will be looked at is: What are good ways to support human interaction with big data?
We will be researching how to integrate the outstanding capabilities of humans in terms of visual information exploration with the enormous processing power of computers to form a powerful knowledge discovery environment.
This research will use existing datasets collected by local researchers or government agencies over multiple years.
Other big datasets, such as Amazon’s product review dataset, may also be used.
As a result of finishing this project, students will have completed a literature review report and assisted in the development of new algorithms and a prototype system.
Skills and experience
You should have background in the areas of either:
- data science, or computer science or information systems (computer human interaction)
- software engineering or signal processing.
You will need to be able to manage yourself and your project.
You may be able to apply for a research scholarship in our annual scholarship round.
Contact the supervisor for more information.