1339972
Dr Alan Woodley
Faculty of Science,
School of Computer Science
Biography
Dr. Alan Woodley is the leader of the Spatial Informatics Laboratory and a Senior Lecturer in the School of Computer Science. He has a background in data and computer science with a Bachelor of Information Technology and a Ph.D. from QUT.Research
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. He has obtained research funding of over 4 million dollars and published over 70 articles.
Education
- Massachusetts Institute of Technology, Certificate in New Ventures Leadership, MIT Innovation and Entrepreneurship Bootcamp, 2018
- Queensland University of Technology, Doctor of Philosophy, 2008
- Queensland University of Technology, Bachelor of Information Technology (Hons), 2003
- Queensland University of Technology, Bachelor of Information Technology, 2003
- Senior Lecturer, Queensland University of Technology, 2018 - Current
- Vice Chancellor’s Research Fellow, Queensland University of Technology, 2018 - 2019
- Lecturer, Queensland University of Technology, 2017
- Research Fellow, Queensland University of Technology, 2014 - 2016
- Postdoctoral Research Fellow, Sustainable Minerals Institute, The University of Queensland, 2008 - 2014
- Senior Lecturer, School of Computer Science, Faculty of Science
- Associate Investigator, Centre for Agriculture and the Bioeconomy
- Associate Investigator, Australian Data Science Centre
- Associate Investigator, ARC Centre of Excellence for Mathematical & Statistical Frontiers
Personal details
Positions
- Senior Lecturer Software Development
Faculty of Science,
School of Computer Science
Keywords
Data Science, Data Mining, Information Retrieval, Sustainability, Natural Language Processing, Environmental Management, Water, Energy and Land Nexus, Resources, Mining
Research field
Theory of computation, Communication and media studies
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD (Queensland University of Technology)
Professional memberships and associations
Member of the Association for Computing Machinery's Special Interest Group on Information Retrieval
Teaching
Dr. Woodley has taught classes ranging from 100 – 600 students, in university and professional development context. Recent teaching includes:
- CAB201 Programming Principles (2021) (~600 students)
- IFQ556 Object Oriented Programming (2020) (~50 students)
- IFQ666 Web and Mobile App Development (2020) (~20 students)
- IFN645 Large Scale Data Mining (2020) (~100 students)
- IFN666 Web and Mobile App Development (2020) (~150 students)
- CAB302 Software Development (2017) (~500 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.
Experience
Dr. Woodley has spent over the past decade working with industry, Some of his success stories include working with:
- The Yarrabilba community, Lendlease and Food Agility CRC to produce a community compost application.
- Working with the Bonneville Power Association, a subsidiary of the US Department of Energy, to produce a salmon monitoring tool.
- The Queensland government and Frontier-SI to produce a high-dimensional land change application.
- Represents of Queensland, New South Wales, Victoria and Western Australia to work with data analytics of remote sensing algorithms.
- Working with representatives of resource industry to help with their water issues.
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, 84, 116–127. https://eprints.qut.edu.au/75924
- Woodley, A., Tang, E., Geva, S., Nayak, R. & Chappell, T. (2019). Parallel K-Tree: A multicore, multinode solution to extreme clustering. Future Generation Computer Systems, 99, 333–345. https://eprints.qut.edu.au/122363
- 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), 2692–2698. https://eprints.qut.edu.au/104717
- 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), 193–200. https://eprints.qut.edu.au/104530
- 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, 84, 727–735. https://eprints.qut.edu.au/75928
- Jony, R., Woodley, A. & Perrin, D. (2020). Fusing Visual Features and Metadata to Detect Flooding in Flickr Images. Proceedings of 22nd Digital Image Computing: Technqiues and Applications (DICTA). https://eprints.qut.edu.au/209913
- McIntyre, N., Woodley, A., Danoucaras, N. & Coles, N. (2015). Water management capacity building to support rapidly developing mining economies. Water Policy, 17(6), 1191–1208. https://eprints.qut.edu.au/95174
- 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, 23(1), 46–59. https://eprints.qut.edu.au/75046
- 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), 209–215. https://eprints.qut.edu.au/115051
- Sarker, C., Mejias Alvarez, L., Maire, F. & Woodley, A. (2019). Flood mapping with convolutional neural networks using spatio-contextual pixel information. Remote Sensing, 11(19), 1–25. https://eprints.qut.edu.au/133459
QUT ePrints
For more publications by Alan, explore their research in QUT ePrints (our digital repository).
Awards
- Type
- Funding Award
- Reference year
- 2021
- Details
- Awarded $584 from the Food Agility CRC for the development of a Circular Food Economy Digital Framework. Our goal was to implement a food waste and composting system in the Yarrabilba State Secondary College. My focus was to manage the implementation of a Mobile App aimed at students in years 7 and 8. The project helped to establish a relationship between the school and social enterprise SubStation 33. Their relationship continued after the project with SubStation 33 donating computers to the school (https://www.abc.net.au/news/2022-01-30/qld-laptop-stress-yarrabilba-state-high-school/100781648).
- Type
- Funding Award
- Reference year
- 2021
- Details
- Funding of $149K from the Bonneville Power Administration (a subsidiary of the US Department of Energy) for the project "Analysis of Spatial Stream Networks for Salmonids: Phase 2".This project required us to develop an open source version of our system.
- 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 $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
- 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
- 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 $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.
- 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