Dr Alan Woodley

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Senior Lecturer, School of Computer Science

PhD (Queensland University of Technology)

Dr. Alan Woodley is the leader of the Spatial Informatics Laboratory and a Vice Chancellor’s Research Fellow in Data Analytics for Digital Agriculture He has a joint appointment in the Institute for Future Environments (IFE) and the Science and Engineering Faculty (SEF).In the IFE he is also a domain leader of ‘Intelligence from Sensing’.

He has a background in data and computer science with a Bachelor of Information Technology and a Ph.D. from QUT. His research has focussed on applying efficient ‘big data’ solutions covering data analytics, computational modeling, and visualisation. His work has been applied to the mining and environmental domains and has developed research frameworks and tools to improve industrial sustainability and to bridge the social-technical divide. His current work focuses on using intellisensing technologies to better inform on-farm decision makig

 

Additional information

Type
Fellowships
Reference year
2018
Details
Awarded a prestigious 3-year Vice Chancellor's Research Fellowship in Digitial Agriculture. The Fellowship will join together farm sensors, computational models, and visualizations. The Fellowship will explore how uncertainty is passed from sensors to models and how models can better deal with streaming data.
Type
Funding Award
Reference year
2017
Details
Funding of $173K from the Bonneville Power Administration(a subsidiary of the US Department of Energy) for the project "Automated Fish Density Tool". The BPA supplied low emissions energy, mostly from hydroelectric power plants. The project will model, predict and visualize fish population in the North West United States. The project partners include the National Marine Mammal Lab of the National Oceanic and Atmospheric Association and the US Forest Service.
Type
Funding Award
Reference year
2017
Details
Funding of $200K from the CRC for Spatial Information (Category 4: Australian Competitive Grant) for the project "Change Detection System from High-Resolution Satellite Images (CDS)". The project uses high resolution (