Personal details
- Name
- Dr Alan Woodley
- Position(s)
- Senior Lecturer Software Development
Faculty of Science,
School of Computer Science - Discipline *
- Computation Theory and Mathematics, Communication and Media Studies
- Phone
- +61 7 3138 0522
- a.woodley@qut.edu.au
- Location
- View location details (QUT staff and student access only)
- Identifiers and profiles
-
- Qualifications
-
PhD (Queensland University of Technology)
- Professional memberships
and associations Member of the Association for Computing Machinery’s Special Interest Group on Information Retrieval
- Keywords
-
Data Science, Data Mining, Information Retrieval, Sustainability, Natural Language Processing, Environmental Management, Water, Energy and Land Nexus, Resources, Mining
Biography
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
Teaching
Dr. Woodley has taught classes ranging from 20 – 500 students, in university and professional development context. Recent teaching includes: (* indicates unit co-ordinator)
- Software Development* (2017) (~500 students) (Student satisfaction = 4.0/5.0)
- Web Development (2016) (~300 students)
- Information Retrieval* (2015) (~20 students) (Student satisfaction = 4.7/5.0)
- Databases (2014) (~300 students)
He has also taught professional development classes teaching the Minerals Council of Australia’s Water Accounting Framework to representatives from mining companies (BHP, Rio Tinto, Anglo America, Glencore, MMG), consultants, government agencies and others.
Publications
- Han Onn A, Woodley A, (2014) A discourse analysis on how the sustainability agenda is defined within the mining industry, Journal of Cleaner Production p116-127
- Danoucaras N, Woodley A, Moran C, (2014) The robustness of mine water accounting over a range of operating contexts and commodities, Journal of Cleaner Production p727-735
- Woodley A, Tang E, Geva S, Nayak R, Chappell T, (2016) Using parallel hierarchical clustering to address spatial big data challenges, Proceedings of the 2016 IEEE International Conference on Big Data (Big Data) p2692-2698
- McIntyre N, Woodley A, Danoucaras N, Coles N, (2015) Water management capacity building to support rapidly developing mining economies, Water Policy p1191-1208
- Paragreen N, Woodley A, (2013) Social licence to operate and the coal seam gas industry: What can be learnt from already established mining operations?, Rural Society p46-59
- Baxter P, Woodley A, Hamilton G, (2017) Modelling the spatial spread risk of plant pests and pathogens for strategic management decisions, Proceedings of the 22nd International Congress on Modelling and Simulation (MODSIM2017) p209-215
- Woodley A, Chappell T, Geva S, Nayak R, (2016) Efficient feature selection and nearest neighbour search for hyperspectral image classification, Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA) p193-200
- Woodley A, Danoucaras N, (2014) A robust methodology for developing an operational systems view of mine water interactions, Proceedings of the 4th International Congress on Water Management in Mining p1-10
- Collins N, Woodley A, (2013) Social water assessment protocol: a step towards connecting mining, water and human rights, Impact Assessment and Project Appraisal p158-167
- Woodley A, Keir G, Roux E, Barrett D, White J, Vink S, (2014) Modelling the water, energy and economic nexus [Project C21033]
For more publications by this staff member, visit QUT ePrints, the University's research repository.
Awards
Awards and recognition
- 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 (<3m^2) images to detected anthropogenic changes to land use. The project partners include the Department of Natural Resources, Mines and Energy, Department of Environment and Science and The University of Queensland.
- Type
- Funding Award
- Reference year
- 2013
- Details
- Funding of $75K from the Australian Coal Association Research Program (Category 1: Australian Competitive Grant) for the project "Scoping Study for the Development of an Industry Rehabilitation and Closure Knowledge Management System". The project investigated a number of management systems and determined that a Wiki system would provide the capability to best capture informal knowledge and link together existing tools. Based on this project a further proposal was submitted to ACARP to produce such a system. To access the final report please visit http://www.acarp.com.au/abstracts.aspx?repId=C23023.
- Type
- Funding Award
- Reference year
- 2012
- Details
- Funding of $650K ($620K external plus $30K in-kind) for the project "Managing the Impacts of Minerals Development on Women and Men and their Traditional Livelihoods in Mongolia" from AusAid's flagship research program the Development Research Awards Scheme (Category 1 Australian Competitive Grants). The project investigated the socio-environmental impacts on traditional livelihoods on men and women from large scale mining in Mongolia and identified safeguards to mitigate negative impacts. For more information please visit : https://www.csrm.uq.edu.au/mongolia/adra-home
- Type
- Funding Award
- Reference year
- 2011
- Details
- Funding of $232K ($ 195K of external funding plus $37K in-kind)) for the research project "Modelling the Water, Energy and Economic Nexus" from the Australian Coal Research Program (Category 1 Australian Competitive Grants). The project developed a hierarchical system model (HSM) that represented the use of water and energy, and the generation of emissions from mine sites, and modeled their associated social, environmental and company risks.
For access to the HSM code please visit http://cwimi-tools.smi.uq.edu.au/hsm/
To access the final report visit: http://www.acarp.com.au/abstracts.aspx?repId=c21033.Publications
Keir, Greg, Roux, Estelle, & Woodley, Alan (2014) An integrated modelling and risk analysis tool for mine water interactions. In McIntyre, Neil & Wiertz, Jacques (Eds.) Proceedings of the 4th International Congress on Water Managemen
- Type
- Funding Award
- Reference year
- 2011
- Details
- Funding of $278K from the Australian Coal Association Research Program (Category 1: Australian Competitive Grant) for the project "Coal seam gas, coal and agriculture: water implications". The project identified water-related issues within the coal mining, CSG and agriculture sectors; explored the regional character of these issues; identified cross-sector risks to the coal mining industry and generated a spatial data product that located where competition and conflict were most intense between these sectors.
- Type
- Funding Award
- Reference year
- 2011
- Details
- Funding of $293K from the Australian Coal Association Research Program (Category 1: Australian Competitive Grant) for the project Managing Mine Water Under Extreme Climate Variability". The project modelled how effectively a mine water system would perform under the extreme climate scenario of high rainfall and potential flooding.
Supervision
Current supervisions
- MULTIMODAL DATA FUSION OF REMOTE SENSING AND SOCIAL MEDIA USING MACHINE LEARNING FOR NATURAL DISASTER DETECTION AND ASSESSMENT
PhD, Principal Supervisor
Other supervisors: Adjunct Professor Shlomo Geva, Associate Professor Dimitri Perrin