Professor Holger Maier

Professor

School of Architecture and Civil Engineering

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Professor, School of Civil, Environmental and Mining Engineering, University of Adelaide, Adelaide, South Australia.

My Research
Career
Publications
Grants and Funding
Teaching
Supervision
Professional Activities
Contact

Research Interests

Holger's research is focused on developing improved techniques for the sustainable management of infrastructure (with a particular focus on water, energy and the water-energy nexus) and natural resources (with a particular focus on water resources and natural hazards) in an uncertain environment. This includes elements of modelling (with a particular focus on machine learning and hybrid process / data driven models), optimisation (with a particular focus on evolutionary algorithms and other metaheuristics) and decision support (with a particular focus on strategic planning under deep uncertainty). He is currently the Research Leader of the Economics and Strategic Decisions research cluster of the Bushfire and Natural Hazards Cooperative Research Centre, as well as the Leader of a project focussed on the development of a decision support system for the assessment of policy and planning investment options for optimal natural hazard mitigation (UNHaRMED). Holger also leads an internal University of Adelaide project on Collaborative Analysis for Secure, Alternative, Affordable Energy (CASCADE). Further details of his research interests are given below and details of papers published under these categories are provided here.

1. Machine Learning

1.1 Development of improved methods for the extraction of information / relationships from existing datasets

1.2 Development of robust approaches to developing data-driven predictive models

Overall approach
Data Processing
Input determination / input variable selection
Data splitting
Identification of model structure
Model calibration (training)
Model validation
Real-time deployment of models
Hybrid models

1.3. Application of data-driven prediction/forecasting models to a range of water/environmental engineering applications

Prediction of water quality in water distribution systems
Prediction and forecasting of water quality in source waters
Prediction of water availability in source waters
Prediction of reliability and vulnerability of water supply and water distribution systems
Prediction of pressure in water distribution systems
Prediction of optimal water treatment levels
Prediction of water demand
Prediction of ecological health of rivers
Rainfall runoff modelling
Prediction of settlement of soils

1.4 Development of improved methods for increasing the computational efficiency of simulation models using meta/surrogate models

2. Optimal Long-Term Water Resources and Infrastructure Planning Under Deep Uncertainty (Including Climate Change)

2.1 Development of underlying concepts

2.2 Determination of optimal mix of different water sources under deep uncertainty

2.3 Determination of optimal sequencing / staging of infrastructure projects under deep uncertainty

2.4 Determination of optimal adaptive capacity of reservoirs under deep uncertainty

2.5 Optimal design of infrastructure for localised water supply systems (under deep uncertainty)

2.6 Development of bottom-up (scenario neutral) approaches to climate impact assessment

3. Optimal Design and Operation of Water Distribution Systems Considering the Water-Energy Nexus

4. Development of Improved Approaches to the Optimisation of Real-World Problems

4.1 Synthesis and overview

4.2 Incorporation of domain knowledge / end user experience into formal optimisation approaches

4.3 Increasing the computational efficiency of optimisation processes

Incorporation of increased system understanding in optimisation processes
Automatic determination of parameters of evolutionary algorithms and other metaheuristics
Surrogate / meta modelling

4.4 Applications to different problem domains

Design of water distribution systems
Operation of water distribution systems
Planning and design of localised systems of alternative water sources
Planning and design of regional water supply systems
Irrigation planning and scheduling
Hydropower maintenance scheduling
Environmental flow planning and scheduling
Management of river water quality and health
Maximisation of global food security
Scenario neutral / bottom-up climate impact assessment
Model calibration

5. Development of Improved Decision Support Approaches under Uncertainty

5.1 Synthesis and overview

5.2 Development of improved approaches to determining the sensitivity of decisions to uncertainties

5.3 Development of improved approaches to the management of water quality in rivers

5.4 Development of improved approaches to ranking options using multi-criteria decision-analysis

5.5 Decision support system for optimal natural hazard mitigation

5.6 Development of improved integrated modelling approaches

6. Optimal Water Allocation for Environmental, Agricultural and Water Supply Purposes

7. Development of Improved Approaches to Hydrological Modelling

Software

validann: Validation Tools for Artificial Neural Networks (see Humphrey G.B., Maier H.R., Wu W., Mount N.J., Dandy G.C., Abrahart R.J. and Dawson C.W. (2017) Improved validation framework and R-package for artificial neural network models, Environmental Modelling and Software, 92, 82-106, DOI: 10.1016/j.envsoft.2017.01.023, PlumX Metrics)

Generalised regression neural network software (see Li X., Zecchin A.C. and Maier H.R. (2014) Selection of smoothing parameter estimators for General Regression Neural Networks - applications to hydrological and water resources modelling, Environmental Modelling and Software, 59, 162-186, DOI: 10.1016/j.envsoft.2014.05.010, PlumX Metrics)

Artificial Neural Network Excel Add-In and C++ Code
Water Distribution Cost-Emissions Nexus (WCEN) Computational Software Framework - multiobjective evolutionary optimisaton of water distribution systems taking into account the water-energy nexus (see Stokes C.S., Simpson A.R. and Maier H.R. (2015) A computational software tool for the minimization of costs and greenhouse gas emissions associated with water distribution systems, Environmental Modelling and Software, 69, 452-467, DOI: 10.1016/j.envsoft.2014.11.004, PlumX Metrics)

Water System Multiobjective Genetic Algorithm (WSMGA) with wrapper and analytics (based on Deb's NSGAII)

Research Associates

Dr Sam Culley, 2020-present
Dr Sofanit Araya (50% Supervision), 2018-2020
Dr Graeme Riddell (50% Supervision), 2017-present
Jeff Newman (50% Supervision), 2014-2018

Dr Angela Marchi (50% Supervision), 2013-2015

Dr Arman Ganji (50% Supervision), 2012

Isaac Sharath (50% Supervision), 2011-212

Dr Greer Humphrey (50% Supervision), 2011-2013

Dr Wenyan Wu (50% Supervision), 2011-2014

Dr Gavin Bowden (50% Supervision), 2010

Jakin Ravalico (50% Supervision), 2008-2012

Dr Wai Kuan Foong (50% Supervision), 2007-2009

Dr Matthew Gibbs (50% Supervision), 2007-present

Dr Greer Kingston (50% Supervision), 2006-2007

Gayani Fernando (50% Supervision), 2004-2007

Aaron Zecchin (Casual Employment, (50% Supervision), 2001-2004

Bryan Tolson (50% Supervision), 2000

Appointments

Date	Position	Institution name
2008 - ongoing	Professor (Level E)	University of Adelaide
2007 - 2009	Deputy Head	University of Adelaide
2005 - 2007	Associate Professor (Level D)	University of Adelaide
2004 - 2006	Associate Dean (Learning and Teaching)	University of Adelaide
2002 - 2004	Senior Lecturer (Level C)	University of Adelaide
1999 - 2001	Lecturer (Level B)	University of Adelaide
1998 - 1999	Postdoctoral Research Fellow	University of British Columbia
1998 - 1998	Lecturer	University of Adelaide
1997 - 1998	Engineering Adviser	Western Samoa Water Authority (WSWA)
1996 - 1997	Senior Civil Engineer / Acting Technical Services Manager	Western Samoa Water Authority (WSWA)
1995 - 1996	Environmental Engineer	Cooperative Research Centre for Tissue Growth and Repair
1992 - 1995	Researcher/Casual Tutor	University of Adelaide
1992 - 1995	Researcher/Casual Tutor	University of Adelaide
1990 - 1992	Design Enigneer	Kinhill Engineers

Awards and Achievements

Date	Type	Title	Institution Name	Country	Amount
2020	Research Award	Commendation, Stormwater South Australia Excellence Awards, Excellence in Research & Innovation Category	Stormwater Management Association	Australia	-
2019	Award	TRILITY Innovation in Large Organisations Award, Smart Water Awards	Water Industry Alliance	Australia	-
2017	Research Award	Outstanding Achievement in Research Award	Bushfire and Natural Hazards CRC	Australia	-
2017	Fellowship	Fellow	Modelling and Simulation Society of Australia and New Zealand	-	-
2014	Award	Stormwater Australia National Award for Excellence in Research and Innovation	-	Australia	-
2013	Award	Innovation Champions Award	-	-	-
2010	Award	Best Paper Award	-	Australia	-
2010	Award	Biennial Medalist	International Environmental Modelling and Software Society	-	-
2010	Award	Environmental Modelling and Software Best Paper Award	-	Australia	-
2010	Award	Award for Excellence in Higher Degree by Research Supervision	University of Adelaide	Australia	-
2009	Award	Tertiary Science Educator of the Year, South Australian Science Excellence Awards	-	-	-
2009	Award	ECMS Faculty Award for Excellence for Higher Degree by Research Supervision	-	-	-
2008	Award	Second Best Paper Award	American Society of Civil Engineers	South Africa	-
2006	Award	High Commendation, Best Presentation Award	-	New Zealand	-
2006	Award	Award for Teaching Excellence (Physical Science and Related Categories)	-	Australia	-
2006	Award	Engineering Education Excellence in Engineering Education Award	Australasian Association for Engineering Education	Australia	-
2006	Award	Citation for Outstanding Contributions to Student Learning	-	-	-
2005	Award	Commendation, Australasian Association for Engineering Education Excellence in Engineering Education	-	-	-
2002	Award	Elder Prize for Excellence in Teaching	The University of Adelaide	Australia	-
2002	Award	Commonwealth of Learning Excellence in Distance Education Award	-	-	-
2002	Award	Tall Poppy Science Award	-	-	-
2001	Award	Pearson Education UniServe Science Teaching Award	-	-	-
2001	Award	◾ASCILITE Award for Exemplary Use of Electronic Technologies in Teaching and Learning in Tertiary Education for the "Mekong eSim"	-	Australia	-
1994	Scholarship	Frank Perry Scholarship in Engineering	University of Adelaide	Australia	-
1992	Award	Australian Postgraduate Research Award (Priority Status)	University of Adelaide	Australia	-
1988	Award	James Hardie Award for Civil Engineering	University of Adelaide	Australia	-
1988	Scholarship	Frank Bull Scholarship for Civil Engineering	University of Adelaide	Australia	-

Language Competencies

Language Competency

English Can read, write, speak, understand spoken and peer review

German Can read, write, speak and understand spoken

Language	Competency
English	Can read, write, speak, understand spoken and peer review
German	Can read, write, speak and understand spoken

Education

Date	Institution name	Country	Title
1996	University of Adelaide	Australia	Doctor of Philosophy in Environmental/Water Resources Engineering
1990	University of Adelaide	Australia	Bachelor of Civil Engineering (First Class Honours)

Journals

Year	Citation
2024	Giudicianni, C., Mitrovic, D., Wu, W., Ferrarese, G., Pugliese, F., I. Fernández-García., . . . Creaco, E. (2024). Energy recovery strategies in water distribution networks: literature review and future directions in the net-zero transition. Urban Water Journal, 1-16. DOI Scopus11 WoS2
2024	Robert Maier, H., Rosa Taghikhah, F., Nabavi, E., Razavi, S., Gupta, H., Wu, W., . . . Huang, J. (2024). How much X is in XAI: Responsible use of “Explainable” artificial intelligence in hydrology and water resources. Journal of Hydrology X, 25, 100185. DOI
2024	Liang, R., Maier, H. R., Thyer, M. A., & Dandy, G. C. (2024). A Practical, Adaptive, and Scalable Real-Time Control Approach for Stormwater Storage Systems. Water (Switzerland), 16(19), 21 pages. DOI
2024	Huang, J., Wu, W., Maier, H. R., Wang, Q. J., & Hughes, J. (2024). A multi-objective optimization-based framework for extending reservoir service life in a changing world. Journal of Hydrology, 637, 131409-1-131409-14. DOI
2024	He, L., Jeanneau, A., Ramsey, S., Gordan Radford, D. A., Zecchin, A. C., Reinke, K., . . . Maier, H. R. (2024). Estimating fuel load for wildfire risk assessment at regional scales using earth observation data: A case study in Southwestern Australia. Remote Sensing Applications: Society and Environment, 36, 18 pages. DOI
2024	Zhu, S., Maier, H. R., Zecchin, A. C., Thyer, M. A., & Guillaume, J. H. A. (2024). Improved understanding of calibration efficiency, difficulty and parameter uniqueness of conceptual rainfall runoff models using fitness landscape metrics. Journal of Hydrology, 639, 26 pages. DOI
2024	Fowler, K. J. A., McMahon, T. A., Westra, S., Horne, A., Guillaume, J. H. A., Guo, D., . . . John, A. (2024). Climate stress testing for water systems: Review and guide for applications. Wiley Interdisciplinary Reviews: Water, 26 pages. DOI Scopus2
2024	Hamers, E. M., Maier, H. R., Zecchin, A. C., & van Delden, H. (2024). Framework for considering the interactions between climate change, socio-economic development and land use planning in the assessment of future flood risk. Environmental Modelling and Software, 171, 22 pages. DOI
2024	Keenan, C., Maier, H. R., van Delden, H., & Zecchin, A. C. (2024). Bridging the Cyber–Physical Divide: A Novel Approach for Quantifying and Visualising the Cyber Risk of Physical Assets. Water (Switzerland), 16(5), 31 pages. DOI
2024	McInerney, D., Thyer, M., Kavetski, D., Westra, S., Maier, H. R., Shanafield, M., . . . Leonard, M. (2024). Neglecting hydrological errors can severely impact predictions of water resource system performance. Journal of Hydrology, 634, 130853-1-130853-15. DOI Scopus3
2024	Hosseini, T., Culley, S. A., Zecchin, A., Maier, H. R., & Ashman, P. J. (2024). Impact of co-digestion and degree of centralization on the yield and viability of biomethane production: A case study in regional Australia. Energy Conversion and Management: X, 22, 15 pages. DOI Scopus1
2024	Thyer, M., Gupta, H., Westra, S., McInerney, D., Maier, H. R., Kavetski, D., . . . Tague, C. (2024). Virtual Hydrological Laboratories: Developing the Next Generation of Conceptual Models to Support Decision Making Under Change. Water Resources Research, 60(4), 1-17. DOI Scopus3
2024	Radford, D. A. G., Maier, H. R., van Delden, H., Zecchin, A. C., & Jeanneau, A. (2024). An efficient, multi-scale neighbourhood index to quantify wildfire likelihood. International Journal of Wildland Fire, 33(5), WF23055-1-WF23055-20. DOI
2023	Ghaffarian, S., Taghikhah, F. R., & Maier, H. R. (2023). Explainable artificial intelligence in disaster risk management: Achievements and prospective futures. International Journal of Disaster Risk Reduction, 98, 22 pages. DOI Scopus20
2023	Zheng, F., Chen, J., Ma, Y., Chen, Q., Maier, H. R., & Gupta, H. (2023). A Robust Strategy to Account for Data Sampling Variability in the Development of Hydrological Models. Water Resources Research, 59(3), 18 pages. DOI Scopus3 WoS2
2023	Maier, H. R., Galelli, S., Razavi, S., Castelletti, A., Rizzoli, A., Athanasiadis, I. N., . . . Humphrey, G. B. (2023). Exploding the myths: An introduction to artificial neural networks for prediction and forecasting. Environmental Modelling and Software, 167, 105776-1-105776-18. DOI Scopus27 WoS2
2023	Maier, H. R., Zheng, F., Gupta, H., Chen, J., Mai, J., Savic, D., . . . Zhao, J. (2023). On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization. Environmental Modelling and Software, 167, 105779-1-105779-8. DOI Scopus10 WoS1
2023	McInerney, D., Westra, S., Leonard, M., Bennett, B., Thyer, M., & Maier, H. R. (2023). A climate stress testing method for changes in spatially variable rainfall. Journal of Hydrology, 625, 14 pages. DOI Scopus3
2023	Wu, W., Eamen, L., Dandy, G., Razavi, S., Kuczera, G., & Maier, H. R. (2023). Beyond engineering: A review of reservoir management through the lens of wickedness, competing objectives and uncertainty. Environmental Modelling and Software, 167, 105777-1-105777-17. DOI Scopus10 WoS1
2023	Cominola, A., Preiss, L., Thyer, M., Maier, H. R., Prevos, P., Stewart, R. A., & Castelletti, A. (2023). The determinants of household water consumption: A review and assessment framework for research and practice. NPJ CLEAN WATER, 6(1), 1-14. DOI Scopus17 WoS2
2023	Vilas, M. P., Egger, F., Adams, M. P., Maier, H. R., Robson, B., Mestres, J. F., . . . O'Brien, K. R. (2023). TALKS: A systematic framework for resolving model-data discrepancies. Environmental Modelling and Software, 163, 105668-1-105668-9. DOI Scopus2 WoS1
2023	Wang, P., Zecchin, A. C., & Maier, H. R. (2023). Improved selection strategy for multi‐objective evolutionary algorithms with application to water distribution optimization problems. Computer-Aided Civil and Infrastructure Engineering, 38(10), 1290-1306. DOI Scopus6 WoS1
2023	Hamers, E. M., Maier, H. R., Zecchin, A. C., & van Delden, H. (2023). Effectiveness of Nature-Based Solutions for Mitigating the Impact of Pluvial Flooding in Urban Areas at the Regional Scale. Water, 15(4), 642. DOI WoS3
2022	Partington, D., Thyer, M., Shanafield, M., McInerney, D., Westra, S., Maier, H., . . . Kavetski, D. (2022). Predicting wildfire induced changes to runoff: A review and synthesis of modeling approaches. WIREs Water, 9(5), 1-25. DOI Scopus14 WoS3
2022	Zheng, F., Chen, J., Maier, H. R., & Gupta, H. (2022). Achieving Robust and Transferable Performance for Conservation-Based Models of Dynamical Physical Systems. Water Resources Research, 58(5), 1-18. DOI Scopus13 WoS6
2022	Zhu, S., Zecchin, A. C., & Maier, H. R. (2022). Use of exploratory fitness landscape metrics to better understand the impact of model structure on the difficulty of calibrating artificial neural network models. Journal of Hydrology, 612(A), 16 pages. DOI Scopus4 WoS1
2022	Chen, J., Zheng, F., May, R., Guo, D., Gupta, H., & Maier, H. R. (2022). Improved data splitting methods for data-driven hydrological model development based on a large number of catchment samples. Journal of Hydrology, 613(part A), 1-13. DOI Scopus9
2022	Liang, R., Maier, H. R., Thyer, M. A., Dandy, G. C., Tan, Y., Chhay, M., . . . Lam, V. (2022). Calibration-free approach to reactive real-time control of stormwater storages. Journal of Hydrology, 614, 9 pages. DOI Scopus5 WoS3
2022	Zhu, S., Maier, H. R., & Zecchin, A. C. (2022). Identification of metrics suitable for determining the features of real-world optimisation problems. Environmental Modelling and Software, 148, 22 pages. DOI Scopus7 WoS2
2022	Radford, D. A. G., Lawler, T. C., Edwards, B. R., Disher, B. R. W., Maier, H. R., Ostendorf, B., . . . Goodsite, M. (2022). A framework for the mitigation and adaptation from heat-related risks to infrastructure.. Sustainable Cities and Society, 81, 1-14. DOI Scopus3
2021	Culley, S., Westra, S., Maier, H., & Bennett, B. S. (2021). Identifying critical climate variables for use in scenario-neutral climate impact assessments. Environmental Modelling and Software, 136, 14 pages. DOI Scopus24 WoS13
2021	McPhail, C., Maier, H. R., Westra, S., van der Linden, L., & Kwakkel, J. H. (2021). Guidance framework and software for understanding and achieving system robustness. Environmental Modelling and Software, 142, 16 pages. DOI Scopus11 WoS7
2021	Razavi, S., Jakeman, A., Saltelli, A., Prieur, C., Iooss, B., Borgonovo, E., . . . Maier, H. R. (2021). The future of sensitivity analysis: an essential discipline for systems modeling and policy support. Environmental Modelling and Software, 137, 104954-1-104954-22. DOI Scopus300 WoS150
2021	Jia, Y., Zheng, F., Maier, H. R., Ostfeld, A., Creaco, E., Savic, D., . . . Kapelan, Z. (2021). Water quality modeling in sewer networks: Review and future research directions. Water Research, 202, 1-19. DOI Scopus50 WoS26 Europe PMC7
2021	Liang, R., Thyer, M. A., Maier, H. R., Dandy, G. C., & Di Matteo, M. (2021). Optimising the design and real-time operation of systems of distributed stormwater storages to reduce urban flooding at the catchment scale. Journal of Hydrology, 602, 15 pages. DOI Scopus27 WoS13
2020	Razavi, S., Gober, P., Maier, H. R., Brouwer, R., & Wheater, H. (2020). Anthropocene flooding: Challenges for science and society. HYDROLOGICAL PROCESSES, 34(8), 5 pages. DOI Scopus46 WoS35
2020	March, A., Riddell, G. A., deMoraes, L. N., Stanley, J., van Delden, H., Beilin, R., . . . Maier, H. R. (2020). Urban planning capabilities for bushfire: Treatment categories and scenario testing. Australian Journal of Emergency Management, 35(3), 32-40. Scopus7 WoS3
2020	McPhail, C., Maier, H. R., Westra, S., Kwakkel, J. H., & van der Linden, L. (2020). Impact of Scenario Selection on Robustness. Water Resources Research, 56(9), 1-17. DOI Scopus29 WoS19
2020	Giudici, F., Castelletti, A., Giuliani, M., & Maier, H. R. (2020). An active learning approach for identifying the smallest subset of informative scenarios for robust planning under deep uncertainty. Environmental Modelling and Software, 127, 1-13. DOI Scopus28 WoS25
2020	Guo, D., Zheng, F., Gupta, H., & Maier, H. R. (2020). On the robustness of conceptual rainfall-runoff models to calibration and evaluation data set splits selection: a large sample investigation. Water Resources Research, 56(3), 1-21. DOI Scopus35 WoS26
2018	Qi, Z., Zheng, F., Guo, D., Zhang, T., Shao, Y., Yu, T., . . . Maier, H. (2018). A comprehensive framework to evaluate hydraulic and water quality impacts of pipe breaks on water distribution systems. Water Resources Research, 54(10), 8174-8195. DOI Scopus45 WoS27
2018	Zheng, F., Tao, R., Maier, H., See, L., Savic, D., Zhang, T., . . . Popescu, I. (2018). Crowdsourcing methods for data collection in geophysics: state of the art, issues, and future directions. Reviews of Geophysics, 56(4), 698-740. DOI Scopus108 WoS65
2018	McPhail, C., Maier, H., Kwakkel, J., Giuliani, M., Castelletti, A., & Westra, S. (2018). Robustness Metrics: How Are They Calculated, When Should They Be Used and Why Do They Give Different Results?. Earth's Future, 6(2), 169-191. DOI Scopus164 WoS126
2018	Zheng, F., Maier, H., Wu, W., Dandy, G., Gupta, H., & Zhang, T. (2018). On lack of robustness in hydrological model development due to absence of guidelines for selecting calibration and evaluation data: demonstration for data-driven models. Water Resources Research, 54(2), 1013-1030. DOI Scopus74 WoS61
2018	Qi, Z., Zheng, F., Guo, D., Maier, H., Zhang, T., Yu, T., & Shao, Y. (2018). Better understanding of the capacity of pressure sensor systems to detect pipe burst within water distribution networks. Journal of Water Resources Planning and Management, 144(7), 04018035-1-04018035-11. DOI Scopus41 WoS30
2018	Hunter, J., Maier, H., Gibbs, M., Foale, E., Grosvenor, N., Harders, N., & Kikuchi-Miller, T. (2018). Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems. Hydrology and Earth System Sciences, 22(5), 2987-3006. DOI Scopus43 WoS25
2018	Guo, D., Westra, S., & Maier, H. (2018). An inverse approach to perturb historical rainfall data for scenario-neutral climate impact studies. Journal of Hydrology, 556, 877-890. DOI Scopus42 WoS34
2018	Gibbs, M. S., McInerney, D., Humphrey, G., Thyer, M. A., Maier, H. R., Dandy, G. C., & Kavetski, D. (2018). State updating and calibration period selection to improve dynamic monthly streamflow forecasts for an environmental flow management application. Hydrology and Earth System Sciences, 22(1), 871-887. DOI Scopus32 WoS27
2018	Newland, C., Maier, H., Zecchin, A., Newman, J., & van Delden, H. (2018). Multi-objective optimisation framework for calibration of Cellular Automata land-use models. Environmental Modelling and Software, 100, 175-200. DOI Scopus43 WoS37
2017	Guo, D., Westra, S., & Maier, H. (2017). Impact of evapotranspiration process representation on runoff projections from conceptual rainfall-runoff models. Water Resources Research, 53(1), 435-454. DOI Scopus51 WoS43
2017	Humphrey, G., Maier, H., Wu, W., Mount, N., Dandy, G., Abrahart, R., & Dawson, C. (2017). Improved validation framework and R-package for artificial neural network models. Environmental Modelling and Software, 92, 82-106. DOI Scopus52 WoS45
2017	Beh, E., Zheng, F., Dandy, G., Maier, H., & Kapelan, Z. (2017). Robust optimization of water infrastructure planning under deep uncertainty using metamodels. Environmental Modelling and Software, 93, 92-105. DOI Scopus78 WoS62
2017	Di Matteo, M., Dandy, G., & Maier, H. (2017). Multiobjective optimization of distributed stormwater harvesting systems. Journal of Water Resources Planning and Management, 143(6), 04017010-1-04017010-13. DOI Scopus35 WoS28
2017	Guo, D., Westra, S., & Maier, H. (2017). Sensitivity of potential evapotranspiration to changes in climate variables for different Australian climatic zones. Hydrology and Earth System Sciences, 21(4), 2107-2126. DOI Scopus80 WoS67
2017	Wu, W., Dandy, G., Maier, H., Maheepala, S., Marchi, A., & Mirza, F. (2017). Identification of optimal water supply portfolios for a major city. Journal of Water Resources Planning and Management, 143(9), 05017007-1-05017007-13. DOI Scopus24 WoS17
2017	Golding, P., Kapadia, S., Naylor, S., Schulz, J., Maier, H., Lall, U., & van der Velde, M. (2017). Framework for minimising the impact of regional shocks on global food security using multi-objective ant colony optimisation. Environmental Modelling and Software, 95, 303-319. DOI Scopus12 WoS7
2017	Nguyen, D., Ascough, J., Maier, H., Dandy, G., & Andales, A. (2017). Optimization of irrigation scheduling using ant colony algorithms and an advanced cropping system model. Environmental Modelling and Software, 97, 32-45. DOI Scopus61 WoS45
2017	Di Matteo, M., Dandy, G., & Maier, H. (2017). A multi-stakeholder portfolio optimization framework applied to stormwater best management practice (BMP) selection. Environmental Modelling and Software, 97, 16-31. DOI Scopus21 WoS19
2017	Newman, J., Maier, H., Riddell, G., Zecchin, A., Daniell, J., Schaefer, A., . . . Newland, C. (2017). Review of literature on decision support systems for natural hazard risk reduction: Current status and future research directions. Environmental Modelling and Software, 96, 378-409. DOI Scopus95 WoS55
2017	Guo, D., Westra, S., & Maier, H. (2017). Use of a scenario-neutral approach to identify the key hydro-meteorological attributes that impact runoff from a natural catchment. Journal of Hydrology, 554, 317-330. DOI Scopus32 WoS24
2017	Zheng, F., Zecchin, A., Newman, J., Maier, H., & Dandy, G. (2017). An adaptive convergence-trajectory controlled ant colony optimization algorithm with application to water distribution system design problems. IEEE Transactions on Evolutionary Computation, 21(5), 773-791. DOI Scopus126 WoS103
2016	Stokes, C., Maier, H., & Simpson, A. (2016). Effect of storage tank size on the minimization of water distribution system cost and greenhouse gas emissions while considering time-dependent emissions factors. Journal of Water Resources Planning and Management, 142(2), 04015052-1-04015052-11. DOI Scopus17 WoS15
2016	Guo, D., Westra, S., & Maier, H. (2016). An R package for modelling actual, potential and reference evapotranspiration. Environmental Modelling and Software, 78, 216-224. DOI Scopus84 WoS69
2016	Wu, W., Maier, H., Dandy, G., Leonard, R., Bellette, K., Cuddy, S., & Maheepala, S. (2016). Including stakeholder input in formulating and solving real-world optimisation problems: Generic framework and case study. Environmental Modelling and Software, 79, 197-213. DOI Scopus36 WoS33
2016	Argent, R., Sojda, R., Guipponi, C., McIntosh, B., Voinov, A., & Maier, H. (2016). Best practices for conceptual modelling in environmental planning and management. Environmental Modelling and Software, 80, 113-121. DOI Scopus54 WoS43
2016	Maier, H., Guillaume, J., van Delden, H., Riddell, G., Haasnoot, M., & Kwakkel, J. (2016). An uncertain future, deep uncertainty, scenarios, robustness and adaptation: how do they fit together?. Environmental Modelling and Software, 81, 154-164. DOI Scopus334 WoS270
2016	Zheng, F., Zecchin, A., Maier, H., & Simpson, A. (2016). Comparison of the searching behavior of NSGA-II, SAMODE, and borg MOEAs applied to water distribution system design problems. Journal of Water Resources Planning and Management, 142(7), 16 pages. DOI Scopus86 WoS77
2016	Nguyen, D., Dandy, G., Maier, H., & Ascough, J. (2016). Improved ant colony optimization for optimal crop and irrigation water allocation by incorporating domain knowledge. Journal of Water Resources Planning and Management, 142(9), 14 pages. DOI Scopus24 WoS21
2016	Mount, N., Maier, H., Toth, E., Elshorbagy, A., Solomatine, D., Chang, F., & Abrahart, R. (2016). Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan. Hydrological Sciences Journal, 61(7), 1192-1208. DOI Scopus83 WoS66
2016	Bi, W., Maier, H., & Dandy, G. (2016). Impact of starting position and searching mechanism on the evolutionary algorithm convergence rate. Journal of Water Resources Planning and Management, 142(9), 11 pages. DOI Scopus13 WoS13
2016	Bi, W., Dandy, G., & Maier, H. (2016). Use of domain knowledge to increase the convergence rate of evolutionary algorithms for optimizing the cost and resilience of water distribution systems. Journal of Water Resources Planning and Management, 142(9), 12 pages. DOI Scopus28 WoS23
2016	Humphrey, G., Gibbs, M., Dandy, G., & Maier, H. (2016). A hybrid approach to monthly streamflow forecasting: integrating hydrological model outputs into a Bayesian artificial neural network. Journal of Hydrology, 540, 623-640. DOI Scopus195 WoS155
2016	Culley, S., Noble, S., Yates, A., Timbs, M., Westra, S., Maier, H. R., . . . Castelletti, A. (2016). A bottom-up approach to identifying the maximum operational adaptive capacity of water resource systems to a changing climate. Water Resources Research, 52(9), 6751-6768. DOI Scopus91 WoS75
2016	Nguyen, D. C. H., Dandy, G. C., Maier, H. R., & Ascough, J. C. (2016). Erratum: "Improved Ant Colony Optimization for Optimal Crop and Irrigation Water Allocation by Incorporating Domain Knowledge" by D. C. H. Nguyen, G. C. Dandy, H. R. Maier, and J. C. Ascough II [J. Water Resour. Plann. Manage., 142, 9, (2016) (1-1)]doi 10.1061/(ASCE)WR.1943-5452.0000662. Journal of Water Resources Planning and Management, 142(9), 1 page. DOI Scopus3
2016	Nguyen, D., Maier, H., Dandy, G., & Ascough, J. (2016). Framework for computationally efficient optimal crop and water allocation using ant colony optimization. Environmental Modelling and Software, 76, 37-53. DOI Scopus30 WoS24
2016	Marchi, A., Dandy, G., & Maier, H. (2016). Integrated approach for optimizing the design of aquifer storage and recovery stormwater harvesting schemes accounting for externalities and climate change. Journal of Water Resources Planning and Management, 142(4), 04016002-1-04016002-12. DOI Scopus21 WoS18
2016	Ganji, A., Maier, H., & Dandy, G. (2016). A modified Sobol' sensitivity analysis method for decision-making in environmental problems. Environmental Modelling and Software, 75, 15-27. DOI Scopus30 WoS22
2015	Bi, W., Dandy, G., & Maier, H. (2015). Improved genetic algorithm optimization of water distribution system design by incorporating domain knowledge. Environmental Modelling & Software, 69, 370-381. DOI Scopus134 WoS111
2015	Beh, E., Maier, H., & Dandy, G. (2015). Scenario driven optimal sequencing under deep uncertainty. Environmental Modelling and Software, 68, 181-195. DOI Scopus45 WoS42
2015	Broad, D., Dandy, G., & Maier, H. (2015). A systematic approach to determining metamodel scope for risk-based optimization and its application to water distribution system design. Environmental Modelling & Software, 69, 382-395. DOI Scopus32 WoS31
2015	Beh, E., Maier, H., & Dandy, G. (2015). Adaptive, multiobjective optimal sequencing approach for urban water supply augmentation under deep uncertainty. Water Resources Research, 51(3), 1529-1551. DOI Scopus90 WoS80
2015	Stokes, C., Simpson, A., & Maier, H. (2015). A computational software tool for the minimization of costs and greenhouse gas emissions associated with water distribution systems. Environmental Modelling and Software, 69, 452-467. DOI Scopus28 WoS24
2015	Stokes, C., Maier, H., & Simpson, A. (2015). Water distribution system pumping operational greenhouse gas emissions minimization by considering time-dependent emissions factors. Journal of Water Resources Planning and Management, 141(7), 04014088-1-04014088-10. DOI Scopus27 WoS24
2015	Maier, H. R., Kapelan, Z., Kasprzyk, J., & Matott, L. S. (2015). Thematic issue on evolutionary algorithms in water resources. Environmental Modelling and Software, 69, 222-225. DOI Scopus24 WoS24
2015	Wu, W., Dandy, G., & Maier, H. (2015). Optimal control of total chlorine and free ammonia levels in a water transmission pipeline using artificial neural networks and genetic algorithms. Journal of Water Resources Planning and Management, 141(7), 04014085-1-04014085-12. DOI Scopus12 WoS8
2015	Li, X., Zecchin, A., & Maier, H. (2015). Improving partial mutual information-based input variable selection by consideration of boundary issues associated with bandwidth estimation. Environmental Modelling and Software, 71, 78-96. DOI Scopus20 WoS20
2015	Reis, S., Seto, E., Northcross, A., Quinn, N., Convertino, M., Jones, R., . . . Wimberly, M. (2015). Integrating modelling and smart sensors for environmental and human health. Environmental Modelling and Software, 74, 238-246. DOI Scopus89 WoS78 Europe PMC15
2015	Li, L., Lambert, M., Maier, H., Partington, D., & Simmons, C. (2015). Assessment of the internal dynamics of the Australian Water Balance Model under different calibration regimes. Environmental Modelling and Software, 66, 57-68. DOI Scopus15 WoS13
2015	Li, X., Maier, H., & Zecchin, A. (2015). Improved PMI-based input variable selection approach for artificial neural network and other data driven environmental and water resource models. Environmental Modelling and Software, 65, 15-29. DOI Scopus58 WoS52
2015	Gibbs, M., Maier, H., & Dandy, G. (2015). Using characteristics of the optimisation problem to determine the Genetic Algorithm population size when the number of evaluations is limited. Environmental Modelling & Software, 69, 226-239. DOI Scopus34 WoS27
2014	Galelli, S., Humphrey, G., Maier, H., Castelletti, A., Dandy, G., & Gibbs, M. (2014). An evaluation framework for input variable selection algorithms for environmental data-driven models. Environmental Modelling & Software, 62, 33-51. DOI Scopus172 WoS147
2014	Paton, F., Maier, H., & Dandy, G. (2014). Including adaptation and mitigation responses to climate change in a multiobjective evolutionary algorithm framework for urban water supply systems incorporating GHG emissions. Water Resources Research, 50(8), 6285-6304. DOI Scopus55 WoS48
2014	Marchi, A., Salomons, E., Ostfeld, A., Kapelan, Z., Simpson, A., Zecchin, A., . . . Asadzadeh, M. (2014). The Battle of the Water Networks II (BWN-II). Journal of Water Resources Planning and Management, 140(7), 04014009:1-04014009:14. DOI Scopus120 WoS88
2014	Wu, W., Dandy, G., & Maier, H. (2014). Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling. Environmental Modelling & Software, 54, 108-127. DOI Scopus260 WoS209
2014	Li, L., Maier, H., Partington, D., Lambert, M., & Simmons, C. (2014). Performance assessment and improvement of recursive digital baseflow filters for catchments with different physical characteristics and hydrological inputs. Environmental Modelling & Software, 54, 39-52. DOI Scopus48 WoS39
2014	Paton, F., Dandy, G., & Maier, H. (2014). Integrated framework for assessing urban water supply security of systems with non-traditional sources under climate change. Environmental Modelling and Software, 60, 302-319. DOI Scopus57 WoS52
2014	Li, X., Zecchin, A., & Maier, H. (2014). Selection of smoothing parameter estimators for general regression neural networks - applications to hydrological and water resources modelling. Environmental Modelling & Software, 59, 162-186. DOI Scopus51 WoS45
2014	Szemis, J., Maier, H., & Dandy, G. (2014). An adaptive ant colony optimization framework for scheduling environmental flow management alternatives under varied environmental water availability conditions. Water Resources Research, 50(10), 7606-7625. DOI Scopus35 WoS30
2014	Maier, H., Kapelan, Z., Kasprzyk, J., Kollat, J., Matott, L., Cunha, M., . . . Reed, P. (2014). Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions. Environmental Modelling and Software, 62, 271-299. DOI Scopus498 WoS441
2014	Newman, J., Dandy, G., & Maier, H. (2014). Multiobjective optimization of cluster-scale urban water systems investigating alternative water sources and level of decentralization. Water Resources Research, 50(10), 7915-7938. DOI Scopus47 WoS44
2014	Beh, E., Dandy, G., Maier, H., & Paton, F. (2014). Optimal sequencing of water supply options at the regional scale incorporating alternative water supply sources and multiple objectives. Environmental Modelling & Software, 53, 137-153. DOI Scopus46 WoS46
2014	Gibbs, M., Dandy, G., & Maier, H. (2014). Assessment of the ability to meet environmental water requirements in the Upper South East of South Australia. Stochastic Environmental Research and Risk Assessment, 28(1), 39-56. DOI Scopus7 WoS6
2014	Stokes, C., Simpson, A., & Maier, H. (2014). The cost–greenhouse gas emission nexus for water distribution systems including the consideration of energy generating infrastructure: an integrated conceptual optimization framework and review of literature. Earth Perspectives, 1(1), 9-1-9-17. DOI
2013	Kelly, R., Jakeman, A., Barreteau, O., Borsuk, M., ElSawah, S., Hamilton, S., . . . Voinov, A. (2013). Selecting among five common modelling approaches for integrated environmental assessment and management. Environmental Modelling & Software, 47, 159-181. DOI Scopus622 WoS531
2013	Paton, F., Maier, H., & Dandy, G. (2013). Relative magnitudes of sources of uncertainty in assessing climate change impacts on water supply security for the southern Adelaide water supply system. Water Resources Research, 49(3), 1643-1667. DOI Scopus64 WoS57
2013	Wu, W., Maier, H., & Simpson, A. (2013). Multiobjective optimization of water distribution systems accounting for economic cost, hydraulic reliability, and greenhouse gas emissions. Water Resources Research, 49(3), 1211-1225. DOI Scopus58 WoS56
2013	Li, L., Maier, H., Lambert, M., Simmons, C., & Partington, D. (2013). Framework for assessing and improving the performance of recursive digital filters for baseflow estimation with application to the Lyne and Hollick filter. Environmental Modelling & Software, 41, 163-175. DOI Scopus30 WoS26
2013	Partington, D., Brunner, P., Frei, S., Simmons, C., Werner, A., Therrien, R., . . . Fleckenstein, J. (2013). Interpreting streamflow generation mechanisms from integrated surface-subsurface flow models of a riparian wetland and catchment. Water Resources Research, 49(9), 5501-5519. DOI Scopus59 WoS50
2013	Szemis, J., Dandy, G., & Maier, H. (2013). A multiobjective ant colony optimization approach for scheduling environmental flow management alternatives with application to the River Murray, Australia. Water Resources Research, 49(10), 6393-6411. DOI Scopus43 WoS37
2013	Wu, W., May, R., Maier, H., & Dandy, G. (2013). A benchmarking approach for comparing data splitting methods for modeling water resources parameters using artificial neural networks. Water Resources Research, 49(11), 7598-7614. DOI Scopus70 WoS63
2013	Maier, H. (2013). What constitutes a good literature review and why does its quality matter?. Environmental Modelling & Software, 43, 3-4. DOI Scopus24 WoS15
2012	Gibbs, M., Maier, H., & Dandy, G. (2012). A generic framework for regression regionalization in ungauged catchments. Environmental Modelling & Software, 27-28, 1-14. DOI Scopus38 WoS32
2012	Wu, W., Simpson, A., & Maier, H. (2012). Sensitivity of optimal tradeoffs between cost and greenhouse gas emissions for water distribution systems to electricity tariff and generation. Journal of Water Resources Planning and Management, 138(2), 182-186. DOI Scopus35 WoS29
2012	Wu, W., Simpson, A., Maier, H., & Marchi, A. (2012). Incorporation of variable-speed pumping in multiobjective genetic algorithm optimization of the design of water transmission systems. Journal of Water Resources Planning and Management, 138(5), 543-552. DOI Scopus51 WoS44
2012	Bowden, G., Maier, H., & Dandy, G. (2012). Real-time deployment of artificial neural network forecasting models: Understanding the range of applicability. Water Resources Research, 48(10), 1-16. DOI Scopus55 WoS47
2012	Zecchin, A., Simpson, A., Maier, H., Marchi, A., & Nixon, J. (2012). Improved understanding of the searching behavior of ant colony optimization algorithms applied to the water distribution design problem. Water Resources Research, 48(9), 1-16. DOI Scopus39 WoS35
2012	Szemis, J., Maier, H., & Dandy, G. (2012). A framework for using ant colony optimization to schedule environmental flow management alternatives for rivers, wetlands, and floodplains. Water Resources Research, 48(8), 1-21. DOI Scopus39 WoS36
2012	Partington, D., Brunner, P., Simmons, C., Werner, A., Therrien, R., Maier, H., & Dandy, G. (2012). Evaluation of outputs from automated baseflow separation methods against simulated baseflow from a physically based, surface water-groundwater flow model. Journal of Hydrology, 458-459, 28-39. DOI Scopus128 WoS103
2011	Wu, W., Maier, H., & Simpson, A. (2011). Surplus power factor as a resilience measure for assessing hydraulic reliability in water transmission system optimization. Journal of Water Resources Planning and Management, 137(6), 542-546. DOI Scopus18 WoS13
2011	Gibbs, M., Maier, H., & Dandy, G. (2011). Relationship between problem characteristics and the optimal number of genetic algorithm generations. Engineering Optimization, 43(4), 349-376. DOI Scopus27 WoS24
2011	Rowan, T., Maier, H., Connor, J., & Dandy, G. (2011). An integrated dynamic modeling framework for investigating the impact of climate change and variability on irrigated agriculture. Water Resources Research, 47(7), W07520-1-W07520-13. DOI Scopus8 WoS7
2011	Goodman, A., Ganf, G., Maier, H., & Dandy, G. (2011). The effect of inundation and salinity on the germination of seed banks from wetlands in South Australia. Aquatic Botany, 94(2), 102-106. DOI Scopus16 WoS16
2011	Chang, R., Richardson, J., Banky, G., Coller, B., Jaksa, M., Lindsay, E., & Maier, H. (2011). Practitioner reflections on engineering students' engagement with e-Learning. Advances in Engineering Education, 2(3), 1-31. Scopus8
2011	Partington, D., Brunner, P., Simmons, C., Therrien, R., Werner, A., Dandy, G., & Maier, H. (2011). A hydraulic mixing-cell method to quantify the groundwater component of streamflow within spatially distributed fully integrated surface water-groundwater flow models. Environmental Modelling & Software, 26(7), 886-898. DOI Scopus52 WoS48
2010	Maier, H., Jain, A., Dandy, G., & Sudheer, K. (2010). Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions. Environmental Modelling & Software, 25(8), 891-909. DOI Scopus716 WoS599
2010	Goodman, A., Ganf, G., Dandy, G., Maier, H., & Gibbs, M. (2010). The response of freshwater plants to salinity pulses. Aquatic Botany, 93(2), 59-67. DOI Scopus34 WoS28
2010	Wu, W., Maier, H., & Simpson, A. (2010). Single-objective versus multiobjective optimization of water distribution systems accounting for greenhouse gas emissions by carbon pricing. Journal of Water Resources Planning and Management, 136(5), 555-565. DOI Scopus66 WoS53
2010	Gibbs, M., Dandy, G., & Maier, H. (2010). Evaluation of parameter setting for two GIS based unit hydrograph models. Journal of Hydrology, 393(3-4), 197-205. DOI Scopus11 WoS9
2010	Broad, D., Maier, H., & Dandy, G. (2010). Optimal operation of complex water distribution systems using metamodels. Journal of Water Resources Planning and Management, 136(4), 433-443. DOI Scopus87 WoS64
2010	Gibbs, M., Dandy, G., & Maier, H. (2010). Calibration and optimization of the pumping and disinfection of a real water supply system. Journal of Water Resources Planning and Management, 136(4), 493-501. DOI Scopus20 WoS17
2010	Gibbs, M., Maier, H., & Dandy, G. (2010). Comparison of genetic algorithm parameter setting methods for chlorine injection optimization. Journal of Water Resources Planning and Management, 136(2), 288-291. DOI Scopus28 WoS25
2010	Wu, W., Simpson, A., & Maier, H. (2010). Accounting for greenhouse gas emissions in multiobjective genetic algorithm optimization of water distribution systems. Journal of Water Resources Planning and Management, 136(2), 146-155. DOI Scopus98 WoS83
2010	May, R., Maier, H., & Dandy, G. (2010). Data splitting for artificial neural networks using SOM-based stratified sampling. Neural Networks, 23(2), 283-294. DOI Scopus194 WoS154 Europe PMC16
2010	Ravalico, J., Dandy, G., & Maier, H. (2010). Management Option Rank Equivalence (MORE) - A new method of sensitivity analysis for decision-making. Environmental Modelling & Software, 25(2), 171-181. DOI Scopus38 WoS32
2010	10.1029/95WR03529 (2010). Water Resources Research. DOI
2009	Ravalico, J., Maier, H., & Dandy, G. (2009). Sensitivity analysis for decision-making using the MORE method-A Pareto approach. Reliability Engineering & System Safety, 94(7), 1229-1237. DOI Scopus23 WoS18
2009	Fernando, T., Maier, H., & Dandy, G. (2009). Selection of input variables for data driven models: An average shifted histogram partial mutual information estimator approach. Journal of Hydrology, 367(3-4), 165-176. DOI Scopus150 WoS128
2009	Jain, A., Maier, H., Dandy, G., & Sudheer, K. (2009). Rainfall runoff modelling using neural networks: state-of-the-art and future research needs. ISH Journal of Hydraulic Engineering, 15(1), 52-74. DOI Scopus10
2009	Tolson, B., Asadzadeh, M., Maier, H., & Zecchin, A. (2009). Hybrid discrete dynamically dimensioned search (HD-DDS) algorithm for water distribution system design optimization. Water Resources Research, 45(12), 1-15. DOI Scopus110 WoS88
2009	Shahin, M., Jaksa, M., & Maier, H. (2009). Recent advances and future challenges for artificial neural systems in geotechnical engineering applications. Advances in Artificial Neural Systems, 2009(1), 1-9. DOI
2008	Ascough, J., Maier, H., Ravalico, J., & Strudley, M. (2008). Future research challenges for incorporation of uncertainty in environmental and ecological decision-making. Ecological Modelling, 219(3-4), 383-399. DOI Scopus367 WoS326
2008	May, R., Maier, H., Dandy, G., & Fernando, T. (2008). Non-linear variable selection for artificial neural networks using partial mutual information. Environmental Modelling & Software, 23(10-11), 1312-1326. DOI Scopus280 WoS217
2008	May, R., Dandy, G., Maier, H., & Nixon, J. (2008). Application of partial mutual information variable selection to ANN forecasting of water quality in water distribution systems. Environmental Modelling & Software, 23(10-11), 1289-1299. DOI Scopus158 WoS138
2008	Gibbs, M., Dandy, G., & Maier, H. (2008). A genetic algorithm calibration method based on convergence due to genetic drift. Information Sciences, 178(14), 2857-2869. DOI Scopus51 WoS44
2008	Humphrey, G., Maier, H., & Lambert, M. (2008). Bayesian model selection applied to artificial neural networks used for water resources modeling. Water Resources Research, 44(4), 04419-01-04419-12. DOI Scopus35 WoS29
2008	Foong, W., Maier, H., & Simpson, A. (2008). Power plant maintenance scheduling using ant colony optimization: an improved formulation. Engineering Optimization, 40(4), 309-329. DOI Scopus32 WoS25
2008	Foong, W., Simpson, A., Maier, H., & Stolp, S. (2008). Ant colony optimization for power plant maintenance scheduling optimization - a five-station hydropower system. Annals of Operations Research, 159(1), 433-450. DOI Scopus37 WoS34
2008	Shahin, M., Jaksa, M., & Maier, H. (2008). State of the Art of Artificial Neural Networks in Geotechnical Engineering. Electronic Journal of Geotechnical Engineering, online, www1-www26.
2008	Shahin, M., Jaksa, M., & Maier, H. (2008). State of the art of artificial neural networks in xengineering. Electronic Journal of Geotechnical Engineering, 13(I), 1-25. Scopus149
2007	Maier, H., & Rowan, T. (2007). Increasing student engagement with graduate attributes. Australian Journal of Engineering Education, 13(1), 21-29.
2007	Maier, H. (2007). Meeting the challenges of engineering education via online roleplay simulations. Australian Journal of Engineering Education, 13(1), 31-39.
2007	Maier, H., Baron, J., & McLaughlan, R. (2007). Using online roleplay simulations for teaching sustainability principles to engineering students. International Journal of Engineering Education, 23(6), 1162-1171. Scopus16 WoS12
2007	Goda, H., Behrenbruch, P., & Maier, H. (2007). Alternative modelling approaches for the estimation of irreducible water saturation: Australian hydrocarbon basins. Journal of Petroleum Science and Engineering, 57(1-2), 60-69. DOI Scopus16 WoS13
2007	Zecchin, A., Maier, H., Simpson, A., Leonard, M., & Nixon, J. (2007). Ant colony optimization applied to water distribution system design: Comparative study of five algorithms. Journal of Water Resources Planning and Management, 133(1), 87-92. DOI Scopus106 WoS85
2007	Hancock, J. M., Adams, N. C., Aidinis, V., Blake, A., Blake, J. A., Bogue, M., . . . Zouberakis, M. (2007). Mouse phenotype database integration consortium:: Integration of mouse phenome data resources (vol 18, pg 157, 2007). MAMMALIAN GENOME, 18(11), 815. DOI WoS1
2006	Maier, H. (2006). Application of natural computing (computational intelligence) methods to water resources and environmental modelling. Mathematical and Computer Modelling, 44(5-6), 413-414. DOI Scopus3 WoS2
2006	Hyde, K., & Maier, H. (2006). Distance-based and stochastic uncertainty analysis for multi-criteria decision analysis in Excel using Visual Basic for Applications. Environmental Modelling & Software, 21(12), 1695-1710. DOI Scopus79 WoS67
2006	Maier, H., Zecchin, A., Radbone, L., & Goonan, P. (2006). Optimising the mutual information of ecological data clusters using evolutionary algorithms. Mathematical and Computer Modelling, 44(5-6), 439-450. DOI Scopus12 WoS10
2006	Gibbs, M., Morgan, N., Maier, H., Dandy, G., Nixon, J., & Holmes, M. (2006). Investigation into the relationship between chlorine decay and water distribution parameters using data driven methods. Mathematical and Computer Modelling, 44(5-6), 485-498. DOI Scopus77 WoS51
2006	Bowden, G., Nixon, J., Dandy, G., Maier, H., & Holmes, M. (2006). Forecasting chlorine residuals in a water distribution system using a general regression neural network. Mathematical and Computer Modelling, 44(5-6), 469-484. DOI Scopus81 WoS60
2006	Zecchin, A., Simpson, A., Maier, H., Leonard, M., Roberts, A., & Berrisford, M. (2006). Application of two ant colony optimisation algorithms to water distribution system optimisation. Mathematical and Computer Modelling, 44(5-6), 451-468. DOI Scopus157 WoS114
2006	Humphrey, G., Maier, H., & Lambert, M. (2006). A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological prediction. Mathematical and Computer Modelling, 44(5-6), 499-512. DOI Scopus32 WoS24
2005	Hyde, K., Maier, H., & Colby, C. (2005). Incorporating uncertainty in the PROMETHEE MCDA Method. Journal of Multi-Criteria Decision Analysis, 12(4-5), 245-259. DOI Scopus105
2005	Bowden, G., Dandy, G., & Maier, H. (2005). Input determination for neural network models in water resources applications. Part 1 - background and methodology. Journal of Hydrology, 301(1-4), 75-92. DOI Scopus475 WoS389
2005	Hyde, K., Maier, H., & Colby, C. (2005). A distance-based uncertainty analysis approach to multi-criteria decision analysis for water resource decision making. Journal of Environmental Management, 77(4), 278-290. DOI Scopus98 WoS86 Europe PMC6
2005	Humphrey, G., Lambert, M., & Maier, H. (2005). Bayesian training of artificial neural networks used for water resources modeling. Water Resources Research, 41(12), 12409-12419. DOI Scopus98 WoS83
2005	Humphrey, G., Maier, H., & Lambert, M. (2005). Calibration and validation of neural networks to ensure physically plausible hydrological modeling. Journal of Hydrology, 314(1-4), 158-176. DOI Scopus62 WoS52
2005	Broad, D., Dandy, G., & Maier, H. (2005). Water distribution system optimization using metamodels. Journal of Water Resources Planning and Management, 131(3), 172-180. DOI Scopus144 WoS117
2005	Zecchin, A., Simpson, A., Maier, H., & Nixon, J. (2005). Parametric study for an ant algorithm applied to water distribution system optimization. IEEE Transactions on Evolutionary Computation, 9(2), 175-191. DOI Scopus151 WoS127
2005	Shahin, M., Jaksa, M., & Maier, H. (2005). Neural network based stochastic design charts for settlement prediction. Canadian Geotechnical Journal, 42(1), 110-120. DOI Scopus31 WoS20
2005	Bowden, G., Maier, H., & Dandy, G. (2005). Input determination for neural network models in water resources applications. Part 2. Case study: forecasting salinity in a river. Journal of Hydrology, 301(1-4), 93-107. DOI Scopus194 WoS163
2004	Maier, H., Humphrey, G., Clark, T., Frazer, A., & Sanderson, A. (2004). Risk-based approach for assessing the effectiveness of flow management in controlling cyanobacterial blooms in rivers. River Research and Applications, 20(4), 459-471. DOI Scopus28 WoS25
2004	Shahin, M., Maier, H., & Jaksa, M. (2004). Data division for developing neural networks applied to geotechnical engineering. Journal of Computing in Civil Engineering, 18(2), 105-114. DOI Scopus313 WoS189
2004	Hyde, K., Maier, H., & Colby, C. (2004). Reliability-based approach to multicriteria decision analysis for water resources. Journal of Water Resources Planning and Management, 130(6), 429-438. DOI Scopus83 WoS73
2004	Maier, H., Morgan, N., & Chow, C. (2004). Use of artificial neural networks for predicting optimal alum doses and treated water quality parameters. Environmental Modelling & Software, 19(5), 485-494. DOI Scopus181 WoS145
2004	Tolson, B., Maier, H., Simpson, A., & Lence, B. (2004). Genetic algorithms for reliability-based optimization of water distribution systems. Journal of Water Resources Planning and Management, 130(1), 63-72. DOI Scopus205 WoS144
2004	Maier, H., Kavanagh, S., Kindley, R., Carrington, A., & Baron, J. (2004). Dynamic role-play online - learning from experience. Crisis Response Journal, 1(1), 56-59.
2004	Maier, H., & Dandy, G. (2004). Artificial neural networks: A flexible approach to modelling. Water, 31(8), 55-60. Scopus4
2004	Maier, H. (2004). Use of examples from nature to make optimal decisions. SASTA Journal, 1, 25-27.
2003	Shahin, M., Maier, H., & Jaksa, M. (2003). Closure to 'Predicting settlement of shallow foundations using neural networks' by Mohamed A. Shahin, Holger R. Maier, and Mark B. Jaksa, September 2002, Vol. 128, No. 9, pp. 785-793. Journal of Geotechnical and Geoenvironmental Engineering, 129(12), 1175-1177. DOI Scopus4
2003	Bowden, G., Dandy, G., & Maier, H. (2003). Data transformation for neural network models in water resources applications. Journal of Hydroinformatics, 5(4), 245-258. DOI Scopus30
2003	Shahin, M., Maier, H., & Jaksa, M. (2003). Settlement prediction of shallow foundations on granular soils using B-spline neurofuzzy models. Computers and Geotechnics, 30(8), 637-647. DOI Scopus63 WoS43
2003	Maier, H., Simpson, A., Zecchin, A., Foong, W., Phang, K., Seah, H., & Tan, C. (2003). Ant colony optimization for design of water distribution systems. Journal of Water Resources Planning and Management, 129(3), 200-209. DOI Scopus434 WoS323
2003	Shahin, M. A., Maier, H. R., & Jaksa, M. B. (2003). "Predicting settlement of shallow foundations using neural networks" by Mohamed A. Shahin, Holger R. Maier, and Mark B. Jaksa - Closure. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, 129(12), 1175-1177. DOI WoS2
2002	Shahin, M., Maier, H., & Jaksa, M. (2002). Predicting settlement of shallow foundations using neural networks. Journal of Geotechnical and Geoenvironmental Engineering, 128(9), 785-793. DOI Scopus310 WoS226
2002	Bowden, G., Maier, H., & Dandy, G. (2002). Optimal division of data for neural network models in water resources applications. Water Resources Research, 38(2), 2.1-2.11. DOI Scopus260 WoS218
2002	Shahin, M., Jaksa, M., & Maier, H. (2002). Artificial neural network-based settlement prediction formula for shallow foundations on granular soils. Australian Geomechanics, 37(4), 45-52. Scopus68
2001	Maier, H., Burch, M., & Bormans, M. (2001). Flow management strategies to control blooms of the cyanobacterium, Anabaena circinalis, in the River Murray at Morgan, South Australia. River Research and Applications: an international journal devoted to river research and management, 17(6), 637-650. DOI Scopus69 WoS56
2001	Maier, H., Sayed, T., & Lence, B. (2001). Forecasting cyanobacterium Anabaena spp. in the River Murray, South Australia, using B-spline neurofuzzy models. Ecological Modelling, 146(1-3), 85-96. DOI Scopus33 WoS23
2001	Maier, H., Lence, B., Tolson, B., & Foschi, R. (2001). First-order reliability method for estimating reliability, vulnerability, and resilience. Water Resources Research, 37(3), 779-790. DOI Scopus121 WoS93
2001	Maier, H., & Dandy, G. (2001). Neural network based modelling of environmental variables: A systematic approach. Mathematical and Computer Modelling, 33(06-Jul), 669-682. DOI Scopus179 WoS142
2001	Shahin, M., Jaksa, M., & Maier, H. (2001). Artificial neural network applications in geotechnical engineering. Australian Geomechanics, 36(1), 49-62. Scopus393
2001	McLaughlan, R., Kirkpatrick, D., Hirsch, P., & Maier, H. (2001). Using online roleplay/simulations for creating learning experiences. CAL-Laborate, 7, 23-24.
2000	Maier, H., & Dandy, G. (2000). Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications. Environmental Modelling & Software, 15(1), 101-124. DOI Scopus1967 WoS1596
2000	Maier, H., Sayed, T., & Lence, B. (2000). Forecasting cyanobacterial concentrations using B-spline networks. Journal of Computing in Civil Engineering, 14(3), 183-189. DOI Scopus23 WoS20
2000	Vasquez, J., Maier, H., Lence, B., Tolson, B., & Foschi, R. (2000). Achieving water quality system reliability using genetic algorithms. Journal of Environmental Engineering-ASCE, 126(10), 954-962. DOI Scopus49 WoS41
2000	Baker, P., Brookes, J., Burch, M., Maier, H., & Ganf, G. (2000). Advection, growth and nutrient status of phytoplankton populations in the lower River Murray, South Australia. River Research and Applications: an international journal devoted to river research and management, 16(4), 327-344. DOI Scopus28 WoS30
1999	Maier, H. R., & Dandy, G. C. (1999). Empirical comparison of various methods for training feedforward neural networks for salinity forecasting. Water Resources Research, 35(8), 2591-2596.
1999	Maier, H. R., & Dandy, G. C. (1999). Empirical comparison of various methods for training feed-forward neural networks for salinity forecasting. Water Resources Research, 35(8), 2591-2596. DOI Scopus53 WoS48
1998	Maier, H. R., & Dandy, G. C. (1998). Understanding the behaviour and optimising the performance of back-propagation neural networks: An empirical study. Environmental Modelling and Software, 13(2), 179-191. DOI Scopus98 WoS86
1998	Maier, H. R., Dandy, G. C., & Burch, M. D. (1998). The use of artificial neural networks for modelling cyanobacteria Anabaena spp in the River Murray, South Australia. Ecological Modelling, 105, 257-272.
1998	Maier, H. R., & Dandy, G. C. (1998). The effect of internal parameters and geometry on the performance of back-propagation neural networks: An empirical study. Environmental Modelling and Software, 13(2), 193-209. DOI Scopus208 WoS162
1998	Maier, H., Dandy, G., & Burch, M. (1998). Use of Artificial Neural Networks for Modelling Cyanobacteria Anabaena spp. in the River Murray, South Australia. Ecological Modelling, 105(2-3), 257-272. DOI Scopus146 WoS135
1997	Maier, H. R., & Dandy, G. C. (1997). Determining inputs for neural network models of multivariate time series. Microcomputers in Civil Engineering, 12(5), 353-368. DOI Scopus76
1997	Maier, H. R., & Dandy, G. C. (1997). Modelling cyanobacteria (blue-green algae) in the River Murray using artificial neural networks. Mathematics and Computers in Simulation, 43(3-6), 377-386. DOI Scopus49 WoS44
1997	Maier, H., & Dandy, G. (1997). The use of artificial neural networks for the prediction of water quality parameters - Reply. Water Resources Research, 33(10), 2425-2427. DOI WoS4
1997	Maier, H. R., & Dandy, G. C. (1997). Modelling Cyanobacteria (Blus-Green Algae) in the River Murray using Artificial Neural Networks. International Journal of Mathematics and Computers in Simulation, 43, 377-386.
1997	Bormans, M., Maier, H., Burch, M., & Baker, P. (1997). Temperature stratification in the lower River Murray, Australia: Implication for cyanobacterial bloom development. Marine and Freshwater Research, 48(7), 647-654. DOI Scopus56 WoS50
1997	Webste, I. T., Maier, H., Baker, P., & Burch, M. (1997). Influence of wind on water levels and lagoon-river exchange in the River Murray, Australia. Marine and Freshwater Research, 48(6), 541-550. DOI Scopus13 WoS15
1996	Maier, H., & Dandy, G. (1996). Neural network models for forecasting univariate time series. Neural Network World, 6(5), 747-772. Scopus35
1996	Maier, H. R., & Dandy, G. C. (1996). The use of artificial neural networks for the prediction of water quality parameters. Water Resources Research, 32(4), 1013-1022. DOI Scopus491 WoS396
-	Tian, J., Culley, S. A., Maier, H. R., & Zecchin, A. C. (n.d.). Is renewable energy sustainable? Potential relationships between renewable energy production and the Sustainable Development Goals. npj Climate Action, 3(1). DOI
-	Jeanneau, A., van Delden, H., Maier, H. R., Radford, D., Zecchin, A., Vanhout, R., & McNaught, T. (n.d.). The Fuel Management Suitability Tool: A Novel Approach to Integrating Stakeholder Priorities in Wildfire Management.
-	Maier, H. R., Zheng, F., Gupta, H., Chen, J., Mai, J., Savic, D., . . . Zhao, J. (n.d.). On How Data are Used in Model Development: The Elephant in the Room.

Books

Year	Citation
2015	Liner, B., & Maier, H. (2015). H2Optimization: An Introduction to Optimization and Operations Research for Infrastructure Professionals. Aldera.
2010	Humphrey, G., Maier, H., & Lambert, M. (2010). Bayesian artificial neural networks : with applications water resources engineering. USA: Verlag Dr. Muller.
2009	Gibbs, M., Maier, H., & Dandy, G. (2009). Determination of practical genetic algorithm parameter settings: Applications to the operation of water distribution systems. UK: Verlag Dr. Muller.

Book Chapters

Year	Citation
2019	Dandy, G. C., Di Matteo, M., & Maier, H. R. (2019). Optimization of WSUD Systems: Selection, Sizing and Layout. In A. Sharma, T. Gardner, & D. Begbie (Eds.), Approaches to Water Sensitive Urban Design Potential, Design, Ecological Health, Urban Greening, Economics, Policies, and Community Perceptions (pp. 303-328). Netherlands: Elsevier.
2019	Dandy, G. C., Di Matteo, M., & Maier, H. R. (2019). Optimization of WSUD Systems: Selection, Sizing, and Layout. In A. K. Sharma, T. Gardner, & D. Begbie (Eds.), Approaches to Water Sensitive Urban Design: Potential, Design, Ecological Health, Urban Greening, Economics, Policies, and Community Perceptions (pp. 303-328). Cambridge, MA; USA: Elsevier. DOI Scopus4
2013	Maier, H., Paton, F., Dandy, G., & Connor, J. (2013). Impact of drought on Adelaide's water supply system: past, present, and future. In K. Schwabe, J. Albiac, J. Connor, R. Hassan, & L. Gonzalez (Eds.), Drought in arid and semi-arid regions: a multi-disciplinary and cross-country perspective (1 ed., pp. 41-62). Germany: Springer. DOI Scopus8
2011	may, R., Dandy, G., & Maier, H. (2011). Review of Input Variable Selection Methods for Artificial Neural Networks. In K. S. editor (Ed.), Artificial Neural Networks - Methodological Advances and Biomedical Applications (pp. 19-44). Croatia: InTech.
2009	May, R., Maier, H., & Dandy, G. (2009). Developing artificial neural networks for water quality modelling and analysis. In Grady Hanrahan (Ed.), Modelling of Pollutants in Complex Environmental Systems (pp. 27-62). United Kingdom: ILM Publications.
2008	Humphrey, G., Dandy, G., & Maier, H. (2008). AI techniques for hydrological Modeling and mangement. II: Optimization. In L. Robinson (Ed.), Water Resources Research Progress (pp. 67-99). New York: Nova Science Publishers. Scopus2
2008	Humphrey, G., Maier, H., & Dandy, G. (2008). AI Techniques for hydrological Modelling and Management. I: Simulation. In L. Robinson (Ed.), Water Resources Research Progress (pp. 15-65). New York: Nova Science Publishers.
2008	Maier, H., & Tolson, B. (2008). Sensitivity and Uncertainity. In Encyclopedia of Ecology (Vol. 1-5, pp. 3214-3221). Amsterdam: Elsevier. DOI
2008	Maier, H., Ascough, J., Wattenbach, M., Renschler, C., Labiosa, W., & Ravalico, J. (2008). Uncertainty in Environmental Decision Making: Issues, Challenges and Future directions. In A. Jakeman, A. Voinov, A. Rizzoli, & S. Chen (Eds.), Environmental Modelling, Software and Decision Support (Vol. 3, pp. 70-85). Amsterdam, The Netherlands: Elsevier. DOI Scopus31
2008	Kingston, G. B., Maier, H. R., & Dandy, G. C. (2008). AI techniques for hydrological modeling and management. I: Simulation. In L. N. Robinson (Ed.), Water Resources Research Progress (pp. 13-66). Nova Science Publishers, Inc.. Scopus2
2007	Daniell, K., Foley, B., Kingsborough, A., Maier, H., Malovka, D., & Sommerville, H. (2007). The AUSTIME Methodology: Quantifiable Sustainability Assessment Coupled with Multi-agent Simulation. In M. Deakin, G. Mitchell, P. Nijkamp, & R. Vreeker (Eds.), Sustainable Urban Development Volume 2: The Environmental Assessment Methods (pp. 375-411). Abingdon, Oxon: Routledge.
2007	Zecchin, A., Maier, H., & Simpson, A. (2007). Case study based convergence behaviour analysis of ACO applied to optimal design of water distribution systems. In F. Chan, & M. Tiwari (Eds.), Swarm Intelligence: Focus on Ant and Particle Swarm Optimization (pp. 419-446). Vienna, Austria: I-Tech Education & Publishing.
2007	Foong, W., Maier, H., & Simpson, A. (2007). Power plant maintenance scheduling using ant colony optimization. In F. Chan, & M. Tiwari (Eds.), Swarm Intelligence: Focus on Ant and Particle Swarm Optimization (pp. 289-320). Vienna, Austria: I-Tech Education & Publishing.
2006	Daniell, K., Kingsborough, A., Malovka, D., Sommerville, H., Foley, B., & Maier, H. (2006). Sustainability Assessment of Housing Developments: A New Methodology. In P. Perez, & D. Batten (Eds.), Complex Science for a Complex World: Exploring Human Ecosystems with Agents (pp. 113-146). Canberra, ACT 0200: ANU E Press.
2006	Jakeman, A., Norton, J., Letcher, R., & Maier, H. (2006). Integrated modelling: Construction, selection, uncertainty. In C. Giupponi, A. Jakeman, D. Karssenberg, & M. Hare (Eds.), Sustainable management of water resource - an integrated approach (pp. 263-286). Gloucestershire, UK: Edward Elgar Publishing Limited. DOI Scopus5
2006	Bowden, G. J., Dandy, G. C., & Maier, H. R. (2006). An evaluation of methods for the selection of inputs for an artificial neural network based river model. In Ecological Informatics: Scope, Techniques and Applications (pp. 275-292). Springer-Verlag. DOI Scopus5
2005	Bowden, G., Dandy, G., & Maier, H. (2005). Forecasting cyanobacteria (blue-green algae) using artificial neural networks. In S. Lingireddy, & G. Brion (Eds.), Artificial neural networks in water supply engineering (pp. 71-96). Reston, Virginia: American Society of Civil Engineers Press.
2005	Dandy, G., Bowden, G., & Maier, H. (2005). Use of artificial neural networks to forecast salinity in rivers. In S. Lingireddy, & G. Brion (Eds.), Artificial neural networks in water supply engineering (pp. 107-137). Reston, Virginia: American Society of Civil Engineers Press.
2003	Bowden, G., Dandy, G., & Maier, H. (2003). An evaluation of methods for the selection of inputs for an artificial neural network based river model. In Friedrich Recknagel (Ed.), Ecological informatics - understanding ecology by biolgically-inspired computation (pp. 215-232). Berlin, Heidelberg, New York: Springer-Verlag.
2000	Maier, H., & Dandy, G. (2000). Application of artificial neural networks to forecasting of surface water quality variables: issues, applications and challenges. In R. Govindaraju, & A. Ramachandra Rao (Eds.), Artificial neural networks in hydrology (pp. 287-309). The Netherlands: Kluwer Academic Publishers.

Conference Papers

Year	Citation
2023	Jeanneau, A., van Delden, H., Maier, H., Zecchin, A., Vanhout, R., McNaught, T., & Wouters, M. (2023). Peering into the future: Identification of emerging wildfire risk hotspots due to changes in climate and population in Western Australia. In 8th International Wildland Fire Conference Proceedings. Porto, Portugal.
2023	Maier, H., Jeanneau, A., Radford, D., & He, L. (2023). Integrated natural hazard risk management: A two-week intensive course. In J. Vaze, C. Chilcott, L. Hutley, & S. M. Cuddy (Eds.), Proceedings of the 25th International Congress on Modelling and Simulation (pp. 548-554). Online: Modelling and Simulation Society of Australia and New Zealand Inc.
2023	Maier, H., & Culley, S. (2023). Building capacity to achieve sustainable outcomes for wicked problems. In J. Vaze, C. Chilcott, K. Hutley, & S. M. Cuddy (Eds.), Proceedings of the 25th International Congress on Modelling and Simulation (pp. 541-547). Online: Modelling and Simulation Society of Australia and New Zealand Inc.
2023	Maier, H. (2023). Developing complex environmental modelling skills through project-centric teaching. In J. Vaze, C. Chilcott, L. Hutley, & S. M. Cuddy (Eds.), Proceedings of 25th International Congress on Modelling and Simulation (pp. 534-540). Online: Modelling and Simulation Society of Australia and New Zealand Inc..
2023	Thyer, M., Liang, R., Maier, H., Dandy, G., Murchland, R., & Henning, R. (2023). Quantifying the Benefits of using Machine Learning for the Smart Design and Control of Stormwater Storages. In Proceedings of the Hydrology and Water Resources Symposium (HWRS 2023) (pp. 1-11). Sydney, Australia: Engineers Australia.
2023	Jeanneau, A., van Delden, H., Radford, D., Maier, H., Zecchin, A., Vanhout, R., & McNaught, T. (2023). Fuel Management Suitability Tool: Advancing resilient wildfire management practices through flexible decision support and local information. In https://whova.com/embedded/event/cS1CGd3zmD1S6q6eQmBRrh2jWesVrB8NGK3YSVyIhkU%3D/?utc_source=ems. Monterey, California.
2022	Liang, R., Thyer, M., Maier, H., & Dandy, G. (2022). Managing urban water system trade-offs using smart storages. In 11th International Congress on Environmental Modelling and Software, Brussels, Belgium, Ann van Griensven, Jiri Nossent, Stefan Reis (Eds.) https://scholarsarchive.byu.edu/iemssconference/2022/. Online: IEMSS.
2022	Nguyen, D. C. H., Maier, H., & Dandy, G. (2022). Optimal management of irrigation water using ant colony optimisation. In 11th International Congress on Environmental Modelling and Software, Brussels, Belgium, Ann van Griensven, Jiri Nossent, Stefan Reis (Eds.) https://scholarsarchive.byu.edu/iemssconference/2022/. Online: IEMSS.
2022	Zhu, S., Maier, H., & Zecchin, A. (2022). Improved Understanding of the Relationship between ModelComplexity and Calibration Performance using ExploratoryLandscape Analysis Metrics. In 11th International Congress on Environmental Modelling and Software, Brussels, Belgium, Ann van Griensven, Jiri Nossent, Stefan Reis (Eds.) https://scholarsarchive.byu.edu/iemssconference/2022/. Online: ICEMS.
2022	Newman, J. P., Bennett, B., Culley, S. A., Maier, H. R., Westra, S., Thyer, M., . . . Leonard, M. (2022). Understanding Kangaroo Island water supply reliability in future climates and the path to augmentation solutions. In Hydrology and Water Resources Symposium, HWRS 2022 (pp. 934-947). Online: Engineers Australia.
2022	Radford, D., Maier, H., van Delden, H., Zecchin, A., & Jeanneau, A. (2022). Land Use Planning and Connectivity to Wildfire Hazards in the Urban Interface.. In AFAC22 \| Connecting communities. Creating resilience.. Adelaide.
2022	Radford, D., Maier, H., Zecchin, A., & van Delden, H. (2022). An index for describing the spatial-connectivity of flammable landscapes. In Proceedings for the Fire and Climate Conference (pp. 1). Melbourne, Australia.
2022	Keenan, C., Maier, H., van Delden, H., & Zecchin, A. (2022). System cyber-security risk for water networks. In 2022 AWA/IWA Australia-New Zealand YWP Conference Online Platform. Sydney, Australia: Australian Water Association.
2022	Jeanneau, A., Maier, H., Zecchin, A., van Delden, H., Vanhout, R., McNaught, T., & Wouters, M. (2022). The Fuel Management Suitability Tool: A new tool for bushfire risk reduction planning. In AFAC Conference Proceedings. Adelaide.
2022	Jeanneau, A., Maier, H., Zecchin, A., van Delden, H., Vanhout, R., McNaught, T., & Wouters, M. (2022). The Fuel Management Suitability Tool – A new way to select the most suitable fire management strategies to reduce wildfire risk. In IAWF Conference Proceedings. Melbourne.
2021	Humphrey, G., Maier, H., Wu, W., Mount, N., Dandy, G., & Dawson, C. (2021). Beyond validation: assessing the legitimacy of artificial neural network models. In Proceedings of the 24th International Congress on Modelling and Simulation (MODSIM2021) (pp. 85-91). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI
2021	Golding, P., Kapadia, S., Naylor, S., Schulz, J., Maier, H. R., Lall, U., & van der Velde, M. (2021). Trade strategies to mitigate the global impact of regional wheat production shocks. In Proceedings of the 24th International Congress on Modelling and Simulation (The effect of particle size and volumetric loading on the gas temperature distributions in a particle-laden flow heated with high-flux radiation (MODSIM 2021) (pp. 127-133). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI
2021	Wu, W., Maier, H. R., Dandy, G. C., Leonard, R., Bellette, K., Cuddy, S. M., & Maheepala, S. (2021). A framework for engaging stakeholders in solving real-world water resources management problems. In Proceedings of the 24th International Congress on Modelling and Simulation (MODSIM 2021) (pp. 274-280). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI
2021	Moore, E., Zhar, Y., Radford, P., O'Callaghan, M., Riddell, G., van Delden, H., & Wouters, M. (2021). Modelling future changes in social vulnerability and bushfire risk. In Proceedings of the 24th International Congress on Modelling and Simulation (MODSIM2021) (pp. 309-315). Sydney, NSW, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI
2021	Thyer, M., Maier, H., Cominola, A., Preiss, L., Prevos, P., Stewart, R., & Castelletti, A. (2021). An assessment framework for classifying determinants of household water consumption and their priorities for research and practice. In Proceedings of the 24th International Congress on Modelling and Simulation (MODSIM 2021) (pp. 1-7). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI Scopus3
2021	Maier, H. R., Guillaume, J. H. A., McPhail, C., Westra, S., Kwakkel, J. H., Razavi, S., . . . Jakeman, A. J. (2021). Uncertainty, sensitivity and scenario analysis: how do they fit together?. In Proceedings of the 24th International Congress on Modelling and Simulation (MODSIM2021) (pp. 554-560). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI Scopus1
2021	Culley, S., Westra, S., Bennett, B., Maier, H., Newman, J., van der Linden, L., & Irvine, M. (2021). Water security analysis of the Middle River supply system: a foreSIGHT application. In Proceedings of the 24th International Congress on Modelling and Simulation (MODSIM2021) (pp. 547-553). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand Inc. DOI
2021	Partington, D., Thyer, M., Shanafield, M., McInerney, D., Westra, S., Maier, H., . . . Kavetski, D. (2021). Modelling hydrological change due to wildfires. In Proceedings of the 24th International Congress on Modelling and Simulation (MODSIM2021) (pp. 582-587). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand. DOI
2020	Fernando, T., Maier, H., Dandy, G., & May, R. (2020). Efficient selection of inputs for artificial neural network models. In MODSIM 2005 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings (pp. 1806-1812).
2020	Rowan, T., Maier, H., Connor, J., & Dandy, G. (2020). Development of an integrated modelling framework for the assessment of river management policies. In MODSIM 2005 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings (pp. 1970-1976).
2020	Kingston, G., Maier, H., & Lambert, M. (2020). A Bayesian approach to artificial neural network model selection. In MODSIM 2005 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings (pp. 1853-1859).
2020	Iseri, Y., Dandy, G., Maier, H., Kawamura, A., & Jinno, K. (2020). Medium term forecasting of rainfall using artificial neural networks. In MODSIM 2005 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings (pp. 1834-1840).
2020	Daniell, K., Sommerville, H., Foley, B., Maier, H., Malovka, D., & Kingsborough, A. (2020). Integrated urban system modelling: Methodology and case study using multi-agent systems. In MODSIM 2005 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings (pp. 2026-2032).
2020	Ravalico, J., Maier, H., Dandy, G., Norton, J., & Croke, B. (2020). A comparison of sensitivity analysis techniques for complex models for environmental management. In MODSIM 2005 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings (pp. 2533-2539).
2020	Norton, J., Chiew, F., Dandy, G., & Maier, H. (2020). A parameter-bounding approach to sensitivity assessment of large simulation models. In MODSIM 2005 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings (pp. 2519-2525).
2019	Riddell, G., van Delden, H., Maier, H., Zecchin, A., Vanhout, R., Daniell, J., . . . Newman, J. (2019). Future risk framework: understanding tomorrow’s risk and what we can do to reduce it. In Proceedings of AFAC19 (pp. 80-88). online: Australian Institute for Disaster Resilience.
2018	Riddell, G., van Delden, H., Vanhout, R., Maier, H., Newman, J., Zecchin, A., & Dandy, G. (2018). Applying unharmed for risk reduction planning – comparing strategies and long-term effectiveness. In Research proceedings from the 2018 Bushfire and Natural Hazards CRC and AFAC Conference. Perth: Bushfire and Natural Hazards CRC.
2016	Guillaume, J., Jakeman, T., Maier, H., Nossent, J., & Trutnevyte, E. (2016). Session B5: Managing uncertainty. In Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016 Vol. 2 (pp. 537).
2016	Castelletti, A., Harou, J., Binet, S., Johannet, A., Tilmant, A., Kasprzyk, J., . . . Rosenberg, D. (2016). Session D4: Water resources management and planning - Modelling and software for improving decisions and engaging stakeholders. In Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016 Vol. 4 (pp. 880).
2015	Newland, C., Maier, H., Newman, J., van Delden, H., & Zecchin, A. (2015). Relationships between Cellular Automata based land use model's parameters and spatial metrics: Enhancing understanding in a calibration context. In CUPUM 2015 - 14th International Conference on Computers in Urban Planning and Urban Management (pp. 1-24). Online: Computers in Urban Planning and Urban Management CUPUM. Scopus2
2014	szemis, J., aldridge, K., van Roosmalen, L., Bjornsson, T., Dandy, G., Maier, H., . . . Thompson, R. (2014). Optimisation of the scheduling of wetland hydrological regimes to meet landscape ecological objectives. In Proceedings of the 35th Hydrology and Water Resources Symposium (pp. 742-759). Barton, A.C.T.: Engineers Australia.
2014	humphrey, G., galelli, S., castelletti, A., maier, H., dandy, G., & Gibbs, M. (2014). Automatic input selection for hydrological modelling: a comparative analysis. In EGU General Assembly Conference Abstracts, 2014 Vol. 16 (pp. 2621 pages). Vienna (Austria).
2014	Guo, D., Westra, S., & Maier, H. (2014). An R package for implementing multiple evapotranspiration formulations. In Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014 Vol. 3 (pp. 1214-1221). online: International Environmental Modelling and Software Society. Scopus1
2014	Humphrey, G., Galelli, S., Maier, H., Castelletti, A., Dandy, G., & Gibbs, M. (2014). A new evaluation framework for input variable selection algorithms used in environmental modelling. In J. Piantadosi, R. Anderssen, & B. J (Eds.), MODSIM2013, 20th International Congress on Modelling and Simulation Vol. 3 (pp. 1623-1630). online: International Environmental Modelling and Software Society. Scopus2
2014	Beh, E., Maier, H., Dandy, G., & Kapelan, Z. (2014). Robust staged development of water supply systems. In O. Giustolisi, B. Brunone, D. Laucelli, L. Berardi, & A. Campisano (Eds.), Procedia Engineering Vol. 89 (pp. 864-869). Netherlands: ELSEVIER SCIENCE BV. DOI
2012	Wu, W., Maier, H., & Dandy, G. (2012). ANN forecasting of water quality in the chloraminated goldfield and agricultural pipeline system: constructive input selection. In WDSA 2012: 14th Water Distribution Systems Analysis Conference, 24-27 September 2012 in Adelaide, South Australia Vol. 1 (pp. 425-434). Adelaide, S.A.: Engineers Australia.
2012	Stokes, C. S., Maier, H. R., & Simpson, A. R. (2012). Water distribution system greenhouse gas emissions reduction by considering the use of time-dependent emissions factors. In 14th Water Distribution Systems Analysis Conference Vol. 1 (pp. 274-290). Barton, A.C.T.: Engineers Australia. Scopus2
2012	Gibbs, M., Maier, H., Dandy, G., & Thyer, M. (2012). Is there potential to inform time varying conceptual rainfall runoff model parameters using groundwater data?. In Proceedings of the 34th Hydrology and Water Resources Symosium, HWRS 2012 (pp. 1024-1031). online: Engineers Australia.
2012	Paton, F., Gibbs, M., Maier, H., & Dandy, G. (2012). Impacts of climate change downscaling method on rainwater tank yield. In Proceedings of the 10th International Conference on Hydroinformatics, HIC2012 (pp. 1-8). CD: HIC2012.
2012	Wu, W., Maier, H., Dandy, G., & May, R. (2012). Exploring the impact of data splitting methods on artificial neural network models. In Proceedings of the 10th International Conference on Hydroinformatics, HIC2012 (pp. 1-8). CD: HIC2012.
2012	Beh, E., Maier, H., & Dandy, G. (2012). Optimal sequencing of water supply options at the regional scale incorporating sustainability, uncertainty and robustness. In Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society, iEMSs 2012 (pp. 1-8). online: International Environmental Modelling & Software Society. Scopus1
2012	Stokes, C., Simpson, A., & Maier, H. (2012). An improved framework for the modelling and optimisation of greenhouse gas emissions associated with water distribution systems. In Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society, iEMSs 2012 (pp. 1-8). online: International Environmental Modelling & Software Society. Scopus5
2012	Wu, W., May, R., Dandy, G., & Maier, H. (2012). A method for comparing data splitting approaches for developing hydrological ANN models. In Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society, iEMSs 2012 (pp. 1-8). online: International Environmental Modelling & Software Society. Scopus19
2011	Li, L., Maier, H., Lambert, M., Simmons, C., & Partington, D. (2011). Sensitivity of optimal baseflow filter parameter to catchment soil characteristics. In Proceedings of the 34th IAHR World Congress (pp. 1643-1650). Australia: Engineers Australia. Scopus1
2011	Gibbs, M., Dandy, G., & Maier, H. (2011). Evaluating parameter sensitivity for surface water modelling of ungauged catchments. In Proceedings of the 34th IAHR World Congress (pp. 1379-1386). Australia: Engineers Australia. Scopus1
2011	Gibbs, M., Maier, H., & Dandy, G. (2011). Runoff and salt transport modelling to maximise environmental outcomes in the upper south east of South Australia. In Proceedings of the 19th MODSIM (pp. 3847-3853). Australia: The Modelling and Simulation Society of Australia and NZ. Scopus2 WoS1
2011	Beh, E., Dandy, G., & Maier, H. (2011). Sequencing of water supply options at the regional scale incorporating sustainability objectives. In Proceedings of the 19th MODSIM (pp. 4001-4007). Australia: The Modelling and Simulation Society of Australia and NZ. Scopus2 WoS1
2011	Beh, E., Maier, H., & Dandy, G. (2011). Development of a modelling framework for optimal sequencing of water supply options at the regional scale incorporating sustainability and uncertainty. In Proceedings of the 19th MODSIM (pp. 3825-3832). Australia: The Modelling and Simulation Society of Australia and NZ. Scopus7 WoS4
2011	Wu, W., Dandy, G., & Maier, H. (2011). Application of artificial neural networks to forecasting water quality in a chloraminated water distribution system. In Proceedings of the 19th MODSIM (pp. 1112-1118). Australia: The Modelling and Simulation Society of Australia and NZ. Scopus13 WoS9
2011	Wu, W., Simpson, A., & Maier, H. (2011). Reducing greenhouse gas emissions from water distribution systems using multi-objective optimisation and variable speed pumping. In Ozwater 11: Australia's National Water Conference and Exhibition (pp. 1-7). USB: Ozwater.
2010	Brock, C., Colsey, C., McGregor, C., Russo, E., Dandy, S., & Maier, H. (2010). Multi-objective optimization of integrated water reuse systems at a cluster scale. In 12th Annual Water Distribution Systems Analysis conference (WDSA 2010) Vol. 79 (pp. 0 pages). Tucson, Arizona: American Society of Civil Engineers. DOI Scopus1
2010	Gibbs, M., Maier, H., & Dandy, G. (2010). Parameterization of a gridded rainfall-runoff model for Southern Australia. In Proceedings of ICHE 2010 (pp. 594-604). India: IIT.
2010	Szemis, J., Dandy, G., & Maier, H. (2010). Multi-objective ant colony optimization applied to environmental flow management. In Proceedings of Water 2010 Symposium (pp. 1-8). online: Water2010.
2010	Paton, F., Dandy, G., & Maier, H. (2010). Sensitivity of urban water security based on various global circulation models and emission scenarios. In Proceedings of The Practical Responses to Climate Change National Conference 2010 (pp. 1-10). www: CSIRO.
2010	Wu, W., Simpson, A., & Maier, H. (2010). Reducing the carbon footprint from water distribution systems by using a lower discount rate. In Proceedings of Practical Responses to Climate Change National Conference 2010 (pp. 1-10). www: CSIRO.
2010	Wu, W., Simpson, A., & Maier, H. (2010). Accounting for carbon: selecting the appropriate discount rate for multi-objective optimisation of water distribution systems. In Proceedings of Ozwater '10, Australia's National Water Conference and Exhibition (pp. 1-8). Australia: Australian Water Association.
2010	Chanda, E., Ball, F., Dunstan, J., Maier, H., Mumford, P., & Shaw, C. (2010). The effect of the Australian Carbon Trading Scheme on a large scale open pit mining operation. In Proceedings of MPES 2010 (pp. 653-667). Victoria: The Australasian Institute of Mining and Metallurgy.
2010	Wu, W., Simpson, A., & Maier, H. (2010). Trade-off analysis between cost and reliability of water distribution systems using genetic algorithms. In Integrated Water Systems (pp. 687-693). London: Taylor & Francis Group. Scopus8 WoS1
2009	Wu, W., Maier, H., & Simpson, A. (2009). Multi-objective water distribution system optimisation accounting for carbon emissions under different electricity tariffs. In Proceedings of the AWA Ozwater Convention and Exhibition (pp. 1-8). Australia: AWA.
2009	Harnett, L., Nicolson, J., Tennant, R., Dandy, G., & Maier, H. (2009). Optimum design of sustainable water supply systems. In Proceedings of the AWA Ozwater Convention and Exhibition (pp. 1-8). Australia: AWA.
2009	Maier, H. (2009). Student participation in lectures using mobile phones. In Proceedings of the 20th AAEE Conference (pp. 43-48). Australia: AAEE.
2009	Maier, H. (2009). Bringing industry experience into the 'classroom' via multimedia flash presentations. In Proceedings of the 20th AAEE Conference (pp. 501-506). Australia: AAEE.
2009	Coff, B., Ditty, N., Gee, M., Szemis, J., Maier, H., Dandy, G., & Gibbs, M. (2009). Relating catchment attributes to parameters of a salt and water balance model. In Proceedings of the 18th World IMACS and MODSIM09 International Congress (pp. 3365-3371). Australia: The Modelling & Simulation Society of Australia & NZ Inc. Scopus3 WoS1
2009	Ravalico, J., Maier, H., & Dandy, G. (2009). MORE and POMORE sensitivity analysis of salt interception schemes in the River Murray. In Proceedings of the 18th World IMACS and MODSIM09 International Congress (pp. 3208-3215). Australia: The Modelling & Simulation Society of Australia & NZ Inc.
2009	Gibbs, M., Maier, H., & Dandy, G. (2009). The use of GIS to derive distributed unit hydrographs for streamflow prediction. In Proceedings of the 18th World IMACS and MODSIM09 International Congress (pp. 3704-3710). Australia: The Modelling & Simulation Society of Australia & NZ. Scopus2 WoS2
2009	Partington, D., Werner, A., Brunner, P., Simmons, C., Dandy, G., & Maier, H. (2009). Using a fully coupled surface water - groundwater model to quantify streamflow components. In Proceedings of the 18th World IMACS and MODSIM09 International Congress (pp. 3102-3108). Australia: The Modelling & Simulation Society of Australia & NZ Inc. Scopus4 WoS1
2009	Harnett, L., Nicolson, J., Tennant, R., Dandy, G., & Maier, H. (2009). Sustainability trade-offs in the planning and design of cluster scale greywater reuse systems. In Proceedings of the 18th World IMACS and MODSIM09 International Congress (pp. 3336-3342). Australia: The Modelling & Simulation Society of Australia & NZ Inc. Scopus3 WoS3
2009	Paton, F., Baulis, J., Staniford, B., Maier, H., & Dandy, G. (2009). Considering sustainability in the planning and management of regional urban water supply systems: A case study of Adelaide's southern system. In Proceedings of the 18th World IMACS and MODSIM09 International Congress (pp. 3357-3363). Australia: The Modelling & Simulation Society of Australia & NZ Inc. Scopus6 WoS4
2008	Wu, W., Maier, H., & Simpson, A. (2008). Genetic algorithm optimisation of water distribution systems accounting for greenhouse gas emissions. In E. Valentine (Ed.), Proceedings of the 9th National Conference on Hydraulics in Water Engineering (pp. 1-8). CD: Engineers Australia. Scopus1
2008	Jaksa, M., Maier, H., & Shahin, M. (2008). Future challenges for artifical neural network modelling in geotechnical engineering. In D. Singh (Ed.), Proceedings of the 12th International Association of Computer Methods and Advance in Geomechanics Conference Vol. 3 (pp. 1710-1719). CD: India Institute of Technology. Scopus23
2008	Maier, H. (2008). A hybrid just-in-time / project-based learning approach to engineering education. In Proceedings of the 19th Annual Conference for the Australasian Association for Engineering Education (pp. 1-6). Australia: CQU.
2008	Maier, H. (2008). Increasing student engagement in online environments using multimedia flash presentations. In Proceedings of the 19th Annual Conference for the Australasian Association for Engineering Education (pp. 1-6). Australia: CQU.
2008	Maier, H. (2008). Revised civil & environmental engineering degree program at the University of Adelaide. In Proceedings of the 19th Annual Conference for the Australasian Association for Engineering Education (pp. 1-6). Australia: CQU.
2008	Tolson, B., Esfahani, M., Zecchin, A., & Maier, H. (2008). A new algorithm for water distribution system optimization: Discrete dynamically dimensioned search. In Proceedings of the World Environmental and Water Resources Congress 2008 Vol. 316 (pp. 1-10). CD: American Society of Civil Engineers. DOI Scopus2
2008	Gibbs, M., Dandy, G., & Maier, H. (2008). Calibration of rainfall runoff models in ungauged catchments: Regionalization relationships for a rainfall runoff model. In Proceedings of the World Environmental and Water Resources Congress 2008 Vol. 316 (pp. 1-10). CD: American Society of Civil Engineers. DOI Scopus5
2008	Partington, D., Maier, H., Dandy, G., Simmons, C., & Werner, A. (2008). A review of modelling surface water - groundwater interactions in and around deep drains with weirs. In Proceedings of Water Down Under 2008 (pp. 2519-2528). CD: Engineers Australia.
2008	Gibbs, M., Goodman, A., Partington, D., Dandy, G., & Maier, H. (2008). Dryland salinity decision support systems in data-scarce regions. In Martin Lambert (Ed.), Proceedings of Water Down Under 2008 (pp. 2653-2663). CD: Engineers Australia.
2008	Wu, W., Simpson, A., & Maier, H. (2008). Multi-objective genetic algorithm optimisation of water distribution systems accounting for sustainability. In M. Lambert (Ed.), Proceedings of Water Down Under 2008 (pp. 1750-1761). CD: Engineers Australia.
2008	Wu, W., Simpson, A., & Maier, H. (2008). Water distribution system optimisation accounting for a range of future possible carbon prices. In WDSA 2008: Proceedings of the 10th Annual Water Distribution Systems Analysis Conference, August 17-20, 2008, Kruger National Park, South Africa Vol. 19 (pp. 0 pages). United States: American Society of Civil Engineers. DOI Scopus15
2007	Rowan, T., Maier, H., Connor, J., & Dandy, G. (2007). Development of an integrated modelling framework to investigate environmental and economic management objectives in an irrigated landscape. In Lex Oxley (Ed.), Proceedings of MODSIM07 (pp. 25-31). Australia: Modelling & Simulation Society of Australia & NZ.
2007	Fernando, T., Maier, H., Dandy, G., & Croke, B. (2007). Assessing prediction uncertainty in the BIGMOD model: A shuffled complex evolution metropolis algorithm approach. In Lex Oxley (Ed.), Proceedings of MODSIM07 (pp. 1499-1505). Australia: Modelling & Simulation Society of Australia & NZ. Scopus7 WoS5
2007	Ravalico, J., Dandy, G., & Maier, H. (2007). More sensitivity analysis of the MSM-BIGMOD River Murray flow and salinity model. In Lex Oxley (Ed.), Proceedings of MODSIM07 (pp. 2754-2760). Australia: Modelling & Simulation Society of Australia & NZ.
2007	Walker, D., Oehlers, D., & Maier, H. (2007). A survey of student attitudes to a sequential assessment method in engineering. In Edward Palmer (Ed.), Proceedings of the ERGA Conference 2007 (pp. 54-59). Australia: University of Adelaide.
2007	Goda, H. M., Maier, H. R., & Behrenbruch, P. (2007). Use of artificial intelligence techniques for predicting irreducible water saturation - Australian hydrocarbon basins. In SPE - Asia Pacific Oil and Gas Conference Vol. 2 (pp. 787-796). Society of Petroleum Engineers. DOI Scopus13
2006	Walker, D., Oehlers, D., & Maier, H. (2006). Student attitudes to a novel assessment method in engineering. In G. Rowe, & G. Reid (Eds.), Proceedings of the 17th Annual Conference of the Australasian Association for Engineering Education (pp. CDROM1-CDROM10). CDROM: Auckland University of Technology.
2006	Maier, H., & Ascough, J. (2006). Uncertainty in environmental decision-making: Issues, challenges and future directions. In A. Voinov, A. Jakemand, & A. Rizzoli (Eds.), Proceedings of the iEMSs Third Biennial Meeting (pp. www1-www11). www: IEMSS. Scopus8
2006	Ravalico, J., Dandy, G., & Maier, H. (2006). Rank-equivalence method for sensitivity analysis of an integrated model of a river catchment. In A. Voinov, A. Jakeman, & A. Rizzoli (Eds.), Proceedings of the 3rd Biennial meeting of the International Environmental Modelling & Software Society (pp. www1-www6). www: IEMSS. Scopus3
2006	Broad, D., Dandy, G., Maier, H., & Nixon, J. (2006). Improving metamodel-based optimization of water distribution systems with local search. In G. Yen (Ed.), Proceedings of the 2006 IEEE World Congress on Computational Intelligence Vol. 120 (pp. CDROM2725-CDROM2732). CDROM: IEEE. DOI Scopus7 WoS4
2006	Gibbs, M., Maier, H., Dandy, G., & Nixon, J. (2006). Minimum number of generations required for convergence of genetic algorithms. In G. Yen (Ed.), Proceedings of the 2006 IEEE World Congress on Computational Intelligence (pp. CDROM2580-CDROM2587). CDROM: IEEE. DOI Scopus26 WoS16
2006	May, R., Dandy, G., Maier, H., & Fernando, T. (2006). Critical values of a kernel density-based mutual information estimator. In G. Yen (Ed.), Proceedings of the 2006 IEEE World Congress on Computational Intelligence (pp. CDROM9997-CDROM10002). CDROM: IEEE. DOI Scopus12 WoS5
2006	Kingston, G., Maier, H., & Lambert, M. (2006). Forecasting cyanobacteria with Bayesian and deterministic artificial neural networks. In G. Yen (Ed.), Proceedings of the 2006 IEEE World Congress on Computational Intelligence Vol. 2 (pp. 4870-4877). CDROM: IEEE. DOI Scopus5 WoS2
2006	Broad, D., Maier, H., Dandy, G., & Nixon, J. (2006). Optimal design of water distribution systems including water quality and system uncertainty. In Water Distribution Systems Analysis Symposium 2006: Proceedings of the 8th Annual Water Distribution Systems Analysis Symposium (pp. 82). Cincinnatti, OH, USA: American Society of Civil Engineers. DOI Scopus3
2005	Maier, H., & Baron, J. (2005). Developing online roleplay simulations for preparing engineering students for multidisciplinary and international practice. In D. Radcliffe, & J. Humphries (Eds.), Proceedings of the 4th ASEE/AaeE Global Colloquium on Engineering Education (pp. 1-10). Brisbane, Queensland: The University of Queensland.
2005	Daniell, T., & Maier, H. (2005). Embedding sustainability in civil and environmental engineering courses. In D. Radcliffe, & J. Humphries (Eds.), Proceedings of the 4th ASEE/AaeE Global Colloquium on Engineering Education (pp. 1-10). Brisbane, Queensland: The University of Queensland.
2005	Humphrey, G., Maier, H., & Lambert, M. (2005). A Bayesian method to improve the extrapolation ability of ANNs. In M. Hamza (Ed.), Proceedings of the 14th International Conference on Applied Simulation and Modelling (pp. 126-131). Anaheim, CA, USA: ACTA Press.
2005	Foong, W., Maier, H., & Simpson, A. (2005). Ant colony optimization for power plant maintenance scheduling optimization: a simplified Hydro Tasmania system. In 2nd Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2005), New York, July 2005 (pp. 72-73). New York, USA: International Society for Interdisciplinary Scheduling.
2005	Broad, D., Maier, H., Dandy, G., & Nixon, J. (2005). Estimating risk measures for water distribution systems using metamodels. In Impacts of global climate change [electronic resource]: proceedings of the 2005 World Water and Environmental Resources Congress, May 15-19, 2005 (pp. 17). Anchorage, Alaska, USA: American Society of Civil Engineers. DOI Scopus7
2005	Gibbs, M., Dandy, G., Maier, H., & Nixon, J. (2005). Selection of genetic algorithm parameters for water distribution system optimization. In Impacts of global climate change [electronic resource]: proceedings of the 2005 World Water and Environmental Resources Congress, May 15-19, 2005 Vol. 9 (pp. 44). Anchorage, Alaska, USA: American Society of Civil Engineers. DOI Scopus5
2005	Holmes, M., Chow, C., May, R., Badalyan, A., Fitzgerald, F., Nixon, J., . . . Maier, H. (2005). DrCT®: Developing tools for improved disinfection control within water distribution systems. In Disinfection 2005: Sharing Disinfection Technologies: Water, Wastewater, Water Reuse and Biosolids, Mesa, Arizona, USA, Feb.6¿9 2005 (pp. 1-29). Mesa, Arizona, USA: Water Environment Federation/American Water Works Association/International Water Association.
2005	Daniell, K., Kingsborough, A., Malovka, D., Sommerville, H., Foley, B., & Maier, H. (2005). Sustainability assessment of housing developments: A new methodology = l’évaluation de la durabilité des systèmes urbains: une nouvelle méthodologie. In Proceedings of CABM-HEMA-SMAGET Joint Conference on Multi-Agent Modelling for Environmental Management, Bourg St Maurice Les Arcs, France, 21-25 March/mars 2005, 5 (2) (pp. 1-31). Bourg St Maurice Les Arcs, France,: CABM-HEMA-SMAGET.
2005	Goda, H., Maier, H., & Behrenbruch, P. (2005). The development of an optimal artificial neural network model for estimating initial, irreducible water saturation - Australian reservoirs. In Proceedings [electronic resource] : APOGCE 2005, SPE Asia Pacific Oil & Gas Conference and Exhibition, 5-7 April 2005 (pp. 513-527). Jakarta, Indonesia: Society of Petroleum Engineers. Scopus20
2005	Dawson, C. W., See, L. M., Abrahart, R. J., Wilby, R. L., Shamseldin, A. Y., Anctil, F., . . . Mason, G. (2005). A comparative study of artificial neural network techniques for river stage forecasting. In Proceedings of the International Joint Conference on Neural Networks Vol. 4 (pp. 2666-2670). Montreal, CANADA: IEEE. DOI Scopus14 WoS10
2005	Baron, J., & Maier, H. (2005). The challenge of maintaining the momentum. In R. Daniels (Ed.), Proceedings of ASCILITE 2005 (pp. 57-66). CD ROM: Australasian Society for Computers in Learning in Tertiary Education. Scopus6
2005	Shahin, M., Jaksa, M., & Maier, H. (2005). Stochastic simulation of settlement prediction of shallow foundations based on a deterministic artificial neural network model. In A. Zerger, & R. Argent (Eds.), Proceedings of the International Congress on Modelling and Simulation (pp. 73-78). http://mssanz.org.au/modsim05/authorsS-T.htm: mssanz. WoS11
2005	Shahin, M., Maier, H., & Jaksa, M. (2005). Investigation into the robustness of artificial neural networks for a case study in civil engineering. In A. Zerger, & R. Argent (Eds.), Proceedings of the International Congress on Modelling and Simulation (pp. 79-83). http://mssanz.org.au/modsim05/authorsS-T.htm: mssanz. WoS22
2005	Daniell, K., Sommerville, H., Foley, B., Maier, H., Malovka, D., & Kingsborough, A. (2005). Integrated urban system modelling: methodology and case study using multi-agent systems. In A. Zerger, & R. Argent (Eds.), Proceedings of the International Congress on Modelling and Simulation (pp. 2026-2032). http://mssanz.org.au/modsim05/authorsC-D.htm: mssanz. Scopus3 WoS2
2005	Norton, J., Chiew, F., Dandy, G., & Maier, H. (2005). A parameter-bounding approach to sensitivity assessment of large simulation models. In A. Zerger, & R. Argent (Eds.), Proceedings of the International Congress on Modelling and Simulation (pp. 2519-2525). http://mssanz.org.au/modsim05/authorsN-R.htm: mssanz. Scopus5 WoS4
2005	Iseri, Y., Dandy, G., Maier, H., Kawamura, A., & Jinno, K. (2005). Medium term forecasting of rainfall using artificial neural networks. In A. Zerger, & R. Argent (Eds.), Proceedings of the International Congress on Modelling and Simulation (pp. 1834-1840). http://mssanz.org.au/modsim05/authorsH-K.htm: mssanz. Scopus8 WoS7
2005	Fernando, T., Maier, H., Dandy, G., & May, R. (2005). Efficient selection of inputs for artificial neural network models. In A. Zerger, & R. Argent (Eds.), Proceedings of the International Congress on Modelling and Simulation (pp. 1806-1812). http://mssanz.org.au/modsim05/authorsE-G.htm: mssanz. Scopus19 WoS14
2005	Rowan, T., Maier, H., Connor, J., & Dandy, G. (2005). Development of an integrated modelling framework for the assessment of river management policies. In A. Zerger, & R. Argent (Eds.), Proceedings of the International Congress on Modelling and Simulation (pp. 1970-1976). http://mssanz.org.au/modsim05/authorsN-R.htm: mssanz. Scopus1
2005	Ravalico, J., Maier, H., Dandy, G., Norton, J., & Croke, B. (2005). A comparison of sensitivity analysis techniques for complex models for environment management. In A. Zerger, & R. Argent (Eds.), Proceedings of the International Congress on Modelling and Simulation (pp. 2533-2539). http://mssanz.org.au/modsim05/authorsN-R.htm: mssanz. Scopus28 WoS18
2005	Humphrey, G., Maier, H., & Lambert, M. (2005). A Bayesian approach to artificial neural network model selection. In A. Zerger, & R. Argent (Eds.), Proceedings of the International Congress on Modelling and Simulation (pp. 1853-1859). http://mssanz.org.au/modsim05/authorsH-K.htm: Modelling and Simulation Society of Australia and New Zealand Inc.. Scopus6
2005	Foong, W., Maier, H., & Simpson, A. (2005). Ant colony optimization for power plant maintenance scheduling optimization. In H. Beyer (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference Vol. 200 (pp. 249-256). New York: The Association for Computing Machinery, Inc.. DOI Scopus19 WoS10
2004	Hyde, K., & Maier, H. (2004). Distance based uncertainty analysis for multi-criteria decision analysis in excel using Visual Basic for Applications (VBA). In S. Leleur (Ed.), MUDSM 2004 Managing Uncertainty in Decision Support Models (pp. CD-ROM 1-CD-ROM 7). CD-ROM: INESC Coimbra. DOI
2004	May, R., Maier, H., Dandy, G., & Nixon, J. (2004). Control-oriented water quality modelling using artificial neural networks. In P. Howlett (Ed.), Enviro 04 Convention and Exhibition Proceedings (pp. CD-ROM 1-CD-ROM 11). CD-ROM: Australian Water Association.
2004	Humphrey, G., Maier, H., & Lambert, M. (2004). A statistical input pruning method for artificial neural networks used in environmental modelling. In C. Pahl Wostl, S. Schmidt, A. Rizzoli, & A. Jakeman (Eds.), Proceedings of the International Environmental Modelling & Software Society iEMSs 2004 International Conference (pp. CD-ROM 87-CD-ROM 92). CD-ROM: iEMSs 2004.
2004	Gibbs, M., Maier, H., & Dandy, G. (2004). Applying fitness landscape measures to water distribution optimization problems. In S. Liong, K. Phoon, & V. Babovic (Eds.), Proceedings of the 6th International Conference on Hydroinformatics 2004 (pp. 795-802). Singapore: World Scientific Publishing Company.
2004	Leonard, M., Maier, H., Simpson, A., Zecchin, A., Roberts, A., Berrisford, M., & Nixon, J. (2004). Hydraulic risk assessment of water distribution systems. In H. Chanson, & J. Macintosh (Eds.), Proceedings of the 8th National Conference on Hydraulics in Water Engineering 2004 (pp. CD-ROM 1-CD-ROM 8). CD-ROM: The Institution of Engineers Australia.
2004	Baron, J., Carrington, A., Kavanagh, S., Kindley, R., & Maier, H. (2004). Learn outside the box - reframing the questions by combining scenario-based learning with online role play/simulation. In The Best Practices in e-Learning Online Conference, 2004 [electronic resource]. Online: University of Calgary.
2004	Hyde, K., & Maier, H. (2004). Incorporating a Distance-based Uncertainty Analysis Approach Into PROMETHEE. In 17th International Conference on Multiple Criteria Decision Making (MCDM 2004). Whistler, BC, Canada: Faculty of Business Administration, Simon Fraser University.
2004	May, R., Maier, H., Dandy, G., & Nixon, J. (2004). General regression neural networks for modeling disinfection residual in water distribution systems. In Critical transitions in water and environmental resources management [electronic resource] : proceedings of the World Water and Environmental Resources Congress: June 27-July 1, 2004 Vol. 28 (pp. 1-8). Salt Lake City, UT, USA: American Society of Civil Engineers. DOI Scopus3
2004	Broad, D., Dandy, G., & Maier, H. (2004). A metamodeling approach to water distribution system optimization. In Critical transitions in water and environmental resources management [electronic resource] : proceedings of the World Water and Environmental Resources Congress: June 27-July 1, 2004 (pp. 4583-4592). Salt Lake City, UT, USA: American Society of Civil Engineers. DOI Scopus7
2003	Nixon, J., Bowden, G., Dandy, G., Maier, H., & Holmes, M. (2003). Forecasting chlorine residuals in a water distribution system using an artificial neural network. In Regional Conference Proceedings, Australian Water Association, South Australian Branch (pp. 1-8). Adelaide, South Australia: Australian Water Association.
2003	Chow, C., Morgan, N., Steinhöfer, S., Maier, H., & Drikas, M. (2003). Evaluation of enhanced coagulation using artificial neural network modelling - a pilot plant study. In Innovations in water [electronic resource]: proceedings Ozwater Convention & Exhibition CD-ROM, [poster]. Perth, Western Australia: Australian Water Association.
2003	Shahin, M., Jaksa, M., & Maier, H. (2003). Neurofuzzy networks applied to settlement of shallow foundations on granular soils. In A. Kiureghian, S. Madanat, & J. Pestana (Eds.), Proceedings of the 9th International Conference on Applications of Statistics and Probability in Civil Engineering (pp. 1379-1383). Netherlands: Millpress Rotterdam. WoS5
2003	Humphrey, G., Heneker, T., Lambert, M., & Maier, H. (2003). A comparison of conceptual and empirical modelling methods for simulation of catchment runoff. In M. Boyd, J. Ball, M. Babister, & J. Green (Eds.), Symposium Proceedings (pp. 299-306). 11 National Circuit, Barton, ACT: Institution of Engineers Australia.
2003	Hyde, K., Maier, H., & Colby, C. (2003). The applicability of robustness measures to water resources decision making. In D. Post (Ed.), Integrative modelling of biophysical, social, and economic systems for resource management solutions (pp. 1639-1644). IAS, ANU, Canberra: The Modelling and Simulation Soc of Aust and NZ Inc.
2003	Humphrey, G., Lambert, M., & Maier, H. (2003). Development of stochastic artificial neural networks for hydrological prediction. In D. Post (Ed.), Proceedings of MODSIM 2003 International Congress on Modelling and Simulation (pp. 837-842). IAS, ANU, Canberra: The Modelling and Simulation Soc of Aust and NZ Inc. WoS1
2003	Gibbs, M., Morgan, N., Maier, H., Dandy, G., Holmes, M., & Nixon, J. (2003). Use of artificial neural networks for modelling chlorine residuals in water distribution systems. In D. Post (Ed.), Proceedings of MODSIM 2003 International Congress on Modelling and Simulation (pp. 789-794). IAS, ANU, Canberra: The Modelling and Simulation Soc of Aust and NZ Inc. WoS9
2003	Maier, H., Radbone, L., Finkemeyer, T., Hume, T., Butchart, M., & Goonan, P. (2003). Optimising the mutual information of ecological data clusters using genetic algorithms. In D. Post (Ed.), Proceedings of MODSIM 2003 International Congress on Modelling and Simulation (pp. 807-812). IAS, ANU, Canberra: The Modelling and Simulation Soc of Aust and NZ Inc.
2003	Shahin, M., Maier, H., & Jaksa, M. (2003). Neural and neurofuzzy techniques applied to modelling settlement of shallow foundations on granular soils. In D. Post (Ed.), Proceedings of MODSIM 2003 International Congress on Modelling and Simulation (pp. 1886-1891). IAS, ANU, Canberra: The Modelling and Simulation Soc of Aust and NZ Inc. WoS2
2003	Humphrey, G., Maier, H., & Lambert, M. (2003). Understanding the mechanisms modelled by artificial neural networks for hydrological prediction. In D. Post (Ed.), Proceedings of MODSIM 2003 International Congress on Modelling and Simulation (pp. 825-830). IAS, ANU, Canberra: The Modelling and Simulation Soc of Aust and NZ Inc. WoS3
2003	Maier, H., Butchart, M., Finkemeyer, T., Radbone, L., Hume, T., & Goonan, P. (2003). Investigation into the robustness of Australian river assessment system clusters. In M. Boyd, J. Ball, M. Babister, & J. Green (Eds.), Symposium Proceedings (pp. 89-96). 11 National Circuit, Barton, ACT: Institution of Engineers Australia.
2003	Zecchin, A., Maier, H., Simpson, A., Roberts, A., Berrisford, M., & Leonard, M. (2003). Max-min ant system applied to water distribution system optimisation. In D. Post (Ed.), Integrative modelling of biophysical, social, and economic systems for resource management solutions (pp. 795-800). IAS, ANU, Canberra: The Modelling and Simulation Soc of Aust and NZ Inc. WoS19
2003	Bowden, G., Nixon, J., Dandy, G., Maier, H., & Holmes, M. (2003). Forecasting chlorine residuals in a water distribution system using a general regression neural network. In D. Post (Ed.), Integrative modelling of biophysical, social, and economic systems for resource management solutions (pp. 783-788). IAS, ANU, Canberra: The Modelling and Simulation Soc of Aust and NZ Inc.
2002	Maier, H., Lence, B., & Tolson, B. (2002). The role of reliability, vulnerability and resilience in the management of water quality systems. In David Sheehan (Ed.), The role of reliability, vulnerability and resilience in the management of water quality systems (pp. CDROM 1-CDROM 8). CDROM: The Institution of Engineers.
2002	Clark, T., Humphrey, G., Frazer, A., Sanderson, A., & Maier, H. (2002). Effectiveness of flow management in reducing the risk of cyanobacterial blooms in rivers. In David Sheehan (Ed.), Hydrology and Water Resources Symposium 2002 (pp. CDROM 1-CDROM 8). CDROM: Institution of Engineers.
2002	Abrahart, R., Anctil, F., Bowden, G., Dandy, G., Maier, H., Campolo, M., . . . Wilby, R. (2002). An international comparative study of artificial neural network techniques for river stage forecasting. In C. Bradley, & D. Hannah (Eds.), Eighth National Hydrology Symposium (pp. 75-81). UK: British Hydrological Society.
2002	Kirkpatrick, D., McLaughlan, R., Maier, H., & Hirsch, P. (2002). Developing scholarship through collaboration in an online roleplay-simulation: Mekong eSim, a case study. In Anne Fernandez (Ed.), Proceedings of Scholarly Inquiry in Flexible Science Teaching and Learning Symposium (pp. 13-18). The University of Sydney, NSW: UniServe Science.
2002	Lauzon, N., Lence, B., & Maier, H. (2002). Use of Artificial Intelligence Techniques for the Estimation of Cyanobacteria (Blue-Green Algae) Concentrations. In 30th Annual Conference of the Canadian Society for Civil Engineers, Nollet, Vol. 2002 (pp. CD Rom 10 p). Montreal, Canada: Canadian Society for Civil Engineers. Scopus1
2002	Bowden, G., Dandy, G., & Maier, H. (2002). Ant colony optimisation of a general regression neural network for forecasting water quality. In Hydroinformatics 2002: proceedings of the fifth International Conference on Hydroinformatics (pp. 692-698). Cardiff, Great Britain: IWA Publishing.
2001	Tolson, B., Maier, H., & Simpson, A. (2001). Water Distribution Network Reliability Estimation Using the First-Order Reliability Method. In Bridging the gap: meeting the world's water and environmental resources challenges [electronic resource]: proceedings of the World Water and Environmental Resources Congress: May 20-24, 2001, Orlando, Florida Vol. 111 (pp. CD Rom). Orlando, Florida, USA: American Society of Civil Engineers. DOI Scopus4
2001	Maier, H., Simpson, A., Foong, W., Phang, K., Seah, H., & Tan, C. (2001). Ant Colony Optimization for the Design of Water Distribution Systems. In Bridging the gap: meeting the world's water and environmental resources challenges [electronic resource]: proceedings of the World Water and Environmental Resources Congress: May 20-24, 2001, Orlando, Florida Vol. 111 (pp. CD Rom). Orlando, Florida, USA: American Society of Civil Engineers. DOI Scopus5
2001	Lence, B., & Maier, H. (2001). The Role of Reliability, Vulnerability and Resilience in the Management of Water Quality Systems. In American Geophysical Union, Spring Meeting 2001. Boston Massachusetts, USA: American Geophysical Union.
2001	McLaughlan, R., Kirkpatrick, D., Maier, H., & Hirsch, P. (2001). Academic and institutional issues related to the planning and implementation of a multi-disciplinary roleplay-simulation involving collaboration across institutions. In G. Kennedy, M. Keppell, C. McNaught, & T. Petrovic (Eds.), Proceedings of the 18th Annual Conference of the Australian Society for Computers in Learning in Tertiary Education (pp. 407-415). Melbourne, Australia.
2001	Maier, H., & McLaughlan, R. (2001). Use of a roleplay / simulation in environmental engineering education. In L. Dawes, W. Boles, & A. Maeder (Eds.), Proceedings of the 12th Australasian Conference on Engineering Education, 7th Australasian Women in Engineering Forum (pp. 374-379). QUT, GPO BOX 2434 BRISBANE QLD 4001: AUSTRALASIAN ASSOCIATION FOR ENGINEERING EDUCATION (AAEE).
2001	Simpson, A., Maier, H., Foong, W., Phang, K., Seah, H., & Tan, C. (2001). Selection of parameters for Ant Colony Optimisation applied to the optimal design of water distribution systems. In F. Ghassemi, D. White, S. Cuddy, & T. Nakanishi (Eds.), Proceedings of MODISM 2001 International Conference on Modelling and Simulation (pp. 1931-1936). CANBERRA, ACT 0200: Modelling and Simulation Society of Australia and new Zealand.
2001	Bowden, G., Maier, H., & Dandy, G. (2001). Understanding the range of applicability of artificial neural network forecasting models. In F. Ghassemi, D. White, S. Cuddy, & T. Nakanishi (Eds.), Proceedings of MODISM 2001 International Conference on Modelling and Simulation (pp. 1919-1924). CANBERRA, ACT 0200: THE MODELLING & SIMULATION SOCIETY OF AUSTRALIA & NEW ZEALAND.
2000	Bowden, G., Dandy, G., & Maier, H. (2000). Use of evolutionary artificial neural network models to forecast concentrations of cyanobacteria in the River Murray. In B. Bates (Ed.), Proceedings of Hydro 2000 3rd International Hydrology and Water Resources Symposium of The Institution of Engineers, Australia (pp. 120-125). ACT, Australia: The Institution of Engineers, Australia.
1994	Maier, H., & Dandy, G. (1994). Forecasting salinity using neural networks and multivariate time series models. In National Conference Publication - Institution of Engineers, Australia Vol. 1 (pp. 297-302). Scopus3

Conference Items

Year	Citation
2022	Newland, C., Maier, H., Zecchin, A., & Newman, J. (2022). Impact of the Degree of Incorporation of Domain Knowledge into the Automatic Calibration of Land Use (Natural Hazard Exposure) Models. Poster session presented at the meeting of 11th International Congress on Environmental Modelling and Software, Brussels, Belgium, Ann van Griensven, Jiri Nossent, Stefan Reis (Eds.) https://scholarsarchive.byu.edu/iemssconference/2022/.. Brussels.
2022	McPhail, C., Maier, H., Westra, S., & van der Linden, L. (2022). Making sense of scenario techniques and robustness metrics for decision making under deep uncertainty. Poster session presented at the meeting of 11th International Congress on Environmental Modelling and Software, Brussels, Belgium, Ann van Griensven, Jiri Nossent, Stefan Reis (Eds.) https://scholarsarchive.byu.edu/iemssconference/2022/. Brussels.
2021	Leigh, R., Knowling, M., Westra, S., Bennett, B., Zecchin, A., Maier, H., . . . Devanand, A. (2021). A multi-modelling framework to stress-test water resource systems under change. Poster session presented at the meeting of 24th International Congress on Modelling and Simulation (MODSIM2021) Book of Abstracts. Sydney, Australia: Modelling and Simulation Society of Australia and New Zealand Inc..
2021	Jeanneau, A., Maier, H., Zecchin, A., van Delden, H., & McNaught, T. (2021). Fuel management strategies for reducing future bushfire risk. Poster session presented at the meeting of Australian and New Zealand National Council for fire and emergency services. Sydney.
2021	Liang, R., Thyer, M., Maier, H., Di Matteo, M., & Dandy, G. (2021). Potential benefits of real-time control to reduce urban flooding using distributed smart stormwater storage systems. Poster session presented at the meeting of 23rd EGU General Assembly.
2018	Culley, S. A., Westra, S., Maier, H. R., & Bennett, B. (2018). An R tool for scenario-neutral climate impact analysis of water resource systems. Poster session presented at the meeting of 9th International Congress on Environmental Modelling and Software.
2018	Culley, S. A., Westra, S., Maier, H. R., & Bennett, B. (2018). Identifying the climate variables to which water resource systems are most sensitive. Poster session presented at the meeting of 9th International Congress on Environmental Modelling and Software.
2018	Bennett, B., Culley, S., Westra, S., & Maier, H. (2018). ForeSIGHT: An R-package to Support Scenario-Neutral Climate Impact Assessments. Poster session presented at the meeting of AGU Fall Meeting Abstracts 2018, H53Q-1819. Washington, DC, USA.
2015	Riddell, G. A., van Delden, H., Maier, H. R., & Zecchin, A. C. (2015). Applying an ‘outcomes of interest’ scenario framework to consider uncertainties impacting risk reduction policies. Poster session presented at the meeting of MODSIM 2015. Gold Coast, Australia.
2015	Riddell, G. A., van delden, H., maier, H. R., & zecchin, A. C. (2015). Including land value in hazard mitigation planning. Poster session presented at the meeting of AFAC 2015. Adelaide, Australia.
2014	Riddell, G. A., zecchin, A. C., Maier, H. R., & van Delden, H. (2014). Handling uncertainty in optimal decision-making for natural hazard mitigation planning. Poster session presented at the meeting of AFAC 2014. Wellington, New Zealand.

Report for External Bodies

Year	Citation
2024	van Delden, H., Jeanneau, A., Vanhout, R., Radford, D., Maier, H., & Zecchin, A. (2024). Sea flood mapping and impact assessment for Port Adelaide and surrounds - A study to explore future risk scenarios using UNHaRMED.
2023	Liang, R., Thyer, M., & Maier, H. (2023). Evaluating Benefits of Smart Design and Control of Distributed Storage for the Pasadena Case Study Catchment.
2023	Liang, R., Thyer, M., & Maier, H. (2023). Evaluating Benefits of Smart Design of Distributed Storage for the Trinity Valley Study Catchment. University of Adelaide, City of Norwood Payneham and St Peters, and Stormwater Management Authority.
2022	van Delden, H., Vanhout, R., Riddell, G., Jeanneau, A., Maier, H., & Zecchin, A. (2022). Exploring future bushfire risk and risk reduction potential.
2022	Dumbrell, N., O'Connor, P., Matthews, K., Johns, C., Maier, H., Umberger, W., . . . Cavagnaro, T. (2022). Carbon valorisation : Achieving a carbon neutral farming future in South Australia. University of Adelaide.
2022	He, L., Zecchin, A., Westra, S., Jeanneau, A., Radford, D., & Maier, H. (2022). ADAPTIVE ANALYTICAL BUSHFIRE LIKELIHOOD (AABL) TOOL FOR BETTER UNDERSTANDING AND REDUCING FUTURE BUSHFIRE RISK.
2022	Culley, S., Zecchin, A., & Maier, H. (2022). National scale assessment of viable biomethane locations in Australia: viable case studies report.
2022	Culley, S., Zecchin, A., & Maier, H. (2022). Where are the most viable locations for bioenergy hubs across Australia?.
2022	Culley, S., Zecchin, A., & Maier, H. (2022). Prototype online mapping tool: Identifying most viable sites for biomethane injection in Australia.
2022	Westra, S., Leigh, R., Knowling, M., Beh, E., Devanand, A., Thyer, M., . . . McInerney, D. (2022). Assessment of current and future water security in the Barossa and Eden Valleys.
2022	van Delden, H., Vanhout, R., Riddel, G., Elco, K., Radford, D., Dandy, G., . . . Zecchin, A. (2022). Evaluation Document: GRUMP - Gawler River UNHARMED Mitigation Project. Bushfire and Natural Hazards CRC.
2022	van Delden, H., Vanhout, R., Riddell, G., Koks, E., Radford, D., Dandy, G., . . . Zecchin, A. (2022). Integrated Assessment of Flood Mitigation Options: GRUMP - Gawler River UNHARMED Mitigation Project. Bushfire and Natural Hazards CRC.
2022	van Delden, H., Vanhout, R., Riddell, G., Koks, E., Radford, D., Dandy, G., . . . Zecchin, A. (2022). Pathways Document for Integrated Flood Risk Management: GRUMP - Gawler River UNHARMED Mitigation Project. Bushfire and Natural Hazards CRC.
2022	van Delden, H., Vanhout, R., Riddell, G., Koks, E., Radford, D., Dandy, G., . . . Zecchin, A. (2022). Project Summary and Evaluation: GRUMP - Gawler River UNHARMED Mitigation Project. Bushfire and Natural Hazards CRC.
2022	Jeanneau, A., Zecchin, A., van Delden, H., Vanhout, R., McNaught, T., Wouters, M., & Maier, H. (2022). Opportunities for alternative fuel load reduction approaches - summary report (719).
2022	Jeanneau, A., Zecchin, A., van Delden, H., McNaught, T., & Maier, H. (2022). Mapping how outputs from various Bushfire and Natural Hazards CRC projects could be combined to address the issue of how to best manage fuel to reduce bushfire risk into the future (718).
2021	Jeanneau, A., Zecchin, A., van Delden, H., McNaught, T., & Maier, H. (2021). Guidance framework for the selection of different fuel management strategies (716).
2021	Jeanneau, A., Zecchin, A., van Delden, H., McNaught, T., & Maier, H. (2021). Identifying opportunities for the use of different fuel management strategies in WA (717).
2021	Jeanneau, A., Zecchin, A., van Delden, H., McNaught, T., & Maier, H. (2021). Influence of climate change and fuel management on bushfire risk in Western Australia (714).
2021	Jeanneau, A., Zecchin, A., van Delden, H., McNaught, T., & Maier, H. (2021). Identification of fuel management locations and risk reduction potential (715).
2021	Culley, S., Zecchin, A., Hosseini, T., & Maier, H. (2021). Adelaide Case Study Report - Viability Assessment.
2021	Culley, S., Maier, H., & Zecchin, A. (2021). Final Framework Report.
2020	Culley, S., Maier, H., Zecchin, A., & Riddell, G. (2020). Methodology Report.
2020	Culley, S., Zecchin, A., Hosseini, T., & Maier, H. (2020). Griffith Case Study Report - Viability Assessment: Assessment framework for bio-methane injection in gas networks (RP1.2-03). Future Fuels CRC.
2020	Newman, J., Dandy, G., Zecchin, A., Maier, H., van Delden, H., Newland, C., & Riddell, G. (2020). Simulation optimisation for natural hazard risk management (533).
2020	Culley, S., Westra, S., Maier, H., Bennett, B., & Newman, J. (2020). WATER SECURITY RELIABILITY ANALYSIS OF THE MIDDLE RIVER SUPPLY SYSTEM (2020/10).
2020	Maier, H., Riddell, G., van Delden, H., Araya, S., Zecchin, A., Vanhout, R., . . . Hamers, E. (2020). Improved decision support for natural hazard risk reduction – annual report 2019-2020 (629).
2020	Maier, H., Riddell, G., van Delden, H., Araya, S., Zecchin, A., Vanhout, R., . . . Hamers, E. (2020). Improved decision support for natural hazard risk reduction – annual project report 2018-2019 (583).
2020	March, A., de Moraes, L., Riddell, G., Dovers, S., Stanley, J., van Delden, H., . . . Maier, H. (2020). Integrating bushfire risk reduction and statutory mechanisms in South Australia: assessment of the draft Planning and Design Code 2019 (584).
2020	March, A., de Moraes, L., Riddell, G., Dovers, S., Stanley, J., van Delden, H., . . . Maier, H. (2020). Integrated urban planning for natural hazard mitigation (535).
2019	van Delden, H., Riddell, G., Vanhout, R., Maier, H., Newman, J., Zecchin, A., & Dandy, G. (2019). UNHaRMED framework report: a co-creation approach for the development and use of decision support systems for disaster risk reduction. (484).
2019	Riddell, G., Araya, S., Zecchin, A., Maier, H., Daniell, J., & van Delden, H. (2019). INFORMING STRATEGIC URBAN RISK MAPPING FOR METROPOLITAN MELBOURNE.
2019	Araya, S., Maier, H., Zecchin, A., & Riddell, G. (2019). Workshop 1 Report - Opportunities and Barriers for Introducing Bio-Methane into Existing Gas Networks.
2019	Thyer, M. A., Maier, H. R., & Di Matteo, M. (2019). Evaluating the benefits of smart stormwater systems: summary of research outcomes. South Australia: The University of Adelaide. DOI
2019	Thyer, M. A., Di Matteo, M., Liang, R., Maier, H. R., & Dandy, G. (2019). Evaluating smart storage options for drainage rehabilitation to provide flood, reuse and water quality benefits.
2018	Riddell, G., van Delden, H., & Maier, H. (2018). Urbanisation pressures and flood risk: Gawler River catchment and regional development (434).
2018	Maier, H., Riddell, G., van Delden, H., Newman, J., Zecchin, A., Dandy, G., . . . Bennett, B. (2018). Improved decision support for natural hazard risk reduction: annual project report 2017-18 (427).
2018	March, A., de Moraes, L. N., Riddell, G., Dovers, S., Stanley, J., van Delden, H., . . . Maier, H. (2018). Australian inquiries into natural hazard events (544).
2018	March, A., de Moraes, L. N., Riddell, G., Stanley, J., van Delden, H., Beilin, R., . . . Maier, H. (2018). Practical and theoretical issues: integrating urban planning and emergency management (414).
2017	Riddell, G., van Delden, H., Dandy, G., Maier, H., Zecchin, A., Newman, J., & Newland, C. (2017). Futures Greater Adelaide 2050: An exploration of disaster risk and the future (243).
2011	Leonard, M., Thyer, M., Lambert, M., Maier, H., & Dandy, G. (2011). Task 4 Milestone 1 Report, Application Test Bed, Onkaparinga Catchment Case Study: Surface Water Hydrological Modelling.
-	Thyer, M., Maier, H., & Matteo, M. D. (n.d.). Evaluating the Benefits of Smart Stormwater Systems: Unley Case Study. DOI

Datasets

Year	Citation
-	Maier, H., Riddell, G., Delden, H. V., Zecchin, A., Dandy, G., & Araya, S. G. (n.d.). UNHaRMED - Unified Natural Hazard Risk Mitigation Exploratory Decision Support System. DOI

Software

Year	Citation
2018	Bennett, B. S., Culley, S., Westra, S., Guo, D., & Maier, H. (2018). foreSIGHT: Systems Insights from Generation of Hydroclimatic Timeseries (Version 0.9.2) [Computer Software]. https://CRAN.R-project.org/package=foreSIGHT: CRAN.

Filesets

Year Citation

- May, R., & Maier, H. (n.d.). neural-network-add-in-1-5-4-setup.exe.
DOI
Media

Year Citation

- Maier, H. (n.d.). What do Environmental Engineers do?.
DOI
Presentations

Year Citation

- McPhail, C., Maier, H., Kwakkel, J., Giuliani, M., Castelletti, A., & Westra, S. (n.d.). Robustness metrics: How are they calculated and when should they be used?.
DOI

Year	Citation
-	May, R., & Maier, H. (n.d.). neural-network-add-in-1-5-4-setup.exe. DOI

Year	Citation
-	Maier, H. (n.d.). What do Environmental Engineers do?. DOI

Year	Citation
-	McPhail, C., Maier, H., Kwakkel, J., Giuliani, M., Castelletti, A., & Westra, S. (n.d.). Robustness metrics: How are they calculated and when should they be used?. DOI

Research Funding

Year	Amount	Source	Project
2017-2020	$540,000	Bushfire and Natural Hazards CRC	Integrated urban planning for natural hazard mitigation
2017-2020	$880,000	Bushfire and Natural Hazards CRC	Improved decision support for natural hazard risk reduction (Lead CI)
2016-2018	$319,235	Water Research Australia	Better data-driven decision-making under future climate uncertainty
2014-2017	$1,055,00	Bushfire and Natural Hazards CRC	Decision support system for assessment of policy & planning investment options for optimal natural hazard mitigation (Lead CI)
2012-2013	$104,928	SA Department for the Environment, Water and Natural Resources	Riverine recovery optimisation (Lead CI)
2012-2013	$193,483	Goyder Institute	Optimal water resource mix for metropolitan Adelaide
2012-2014	$179,267	Goyder Institute	Improved modelling of the catchments and drainage network in the upper south east for management outcomes
2011-2014	$501,500	Goyder Institute	Development of an agreed set of climate projections for South Australia
2011-2013	$246,000	Goyder Institute	Managed aquifer recharge and urban stormwater use options
2011-2012	$198,000	Goyder Institute	Development of descision support frameworks for water resource management in the South East [Project Report] (Lead CI)
2011	$80,350	Department for Water	Evaluation and application of Source Rivers modelling framework to the South Australian reacheas of the River Murray (Lead CI)
2010-2012	$330,000	Water Quality Australia	Optimum control of chloramine in water distribution systems
2009-2012	$198,000 (ARC) $60,000 (Industry)	ARC Linkage Projects	Early warning of cyanobacteria blooms in drinking water reservoirs by means of evolutionary algorithms
2008-2010	$304,270	eWater CRC	New Techniques in Optimisation, Modelling and Decision Support [Projet Report]
2006-2010	$430,000 (ARC) $170,000 (Industry)	ARC Linkage Projects	Innovative approach to the optimal management of water resources and application to the Upper South East Region of South Australia (Lead CI)
2006-2009	$238,000 (ARC) $75,000 (Industry)	ARC Linkage Projects	Effects of urbanisation and introduced species on rivers and estuaries: a whole of catchment approach
2006-2007	$95,370	Centre for Natural Resources Management (CNRM)	Sensitivity Analysis of Models used to predict the effects of Policy Decisions on salinity levels in the River Murray (Lead CI)
2006-2007	$262,290	eWater CRC	New techniques for modelling, optimisation and decision support
2004-2007	$252,200 ARC) $110,000 (Industry)	ARC Linkage Projects	New approach to sensitivity assessment of complex simulation models for environmental management
2003	$10,000	ARC Special Research Initiative	Sustainable terrestrial and riverine systems through integrated assessment and modelling (Lead CI)
2003-2004	$132,984	ARC Discovery	New techniques for artificial neural network modelling in hydrology (Lead CI)
2003	$5,000	ECMS Faculty Small Research Grants Scheme	Improved approach for the optimisation of water distribution networks (Lead CI)
2003-2005	$40,000	Hydro Tasmania	Optimal maintenance scheduling for hydro power stations using ant colony optimisation (Lead CI)
2002-2005	$402,000	CRC Water Quality & Treatment	Development of tools for improved disinfection control
2002-2005	$274,000	CRC Water Quality & Treatment	Decision support system to maintain water quality in water distribution systems
2002	$9,000	University of Adelaide	New techniques for artificial neural network modelling in hydrology
2002-2004	$91,000	ARC Discovery	Improving flow management for the control of blue-green algal bloms (Lead CI)
2002-2004	$135,270 (ARC) $40,000 (Industry)	ARC Linkage Projects	Desalination options for metropolitan Adelaide's water supply and implications for water resource allocation for regional communities
2001	$5,000	CRC Water Quality & Treatment	Control of water treatment processes using artificial neural network modelling (Lead CI)
2001	$12,000 $3,000	University of Adelaide United Water	Optimisation of water distribution systems including the effects of uncertainty (Lead CI)
2000	$14,000	Australian Research Council	Assessment of effectiveness of flow management strategies in reducing the frequency and intensity of cyanobacterial (blue-green algal) blooms (Lead CI)

Teaching Grants

Date	Project	Funding Body	Amount
2008	Development of online industry case study learning objects	University of Adelaide	$8,900
2006	Online situational learning initiative	University of Adelaide	$100,000
2000	Mekong e-sim: a distributed computer supported role-play/simulation	University of Adelaide	$10,000

Teaching Activities

Courses Developed

Date	Course Title	Institution
2005-2011, 2013	Environmental Modelling and Management (C&ENVENG 7029)	University of Adelaide
2000-2011, 2013	Envirnmental Modelling and Management (C&ENVENG 4087)	University of Adelaide
1995-2005, 2007	Water Engineering II S2 (C&ENVENG 2035)	University of Adelaide
2000-2006, 2008	Environmental Engineering II (C&ENVENG 2026)	University of Adelaide
2009-2010, 2013	Environmental Engineering & Sustainability II (C&ENVENG 2068)	University of Adelaide
2001	Engineering Modelling and Analysis II (C&ENVENG 2014)	University of Adelaide
1999-2001	Environmental Engineering and Design III - Design Project (C&ENVENG 3009)	University of Adelaide
1999	Statistical Analysis in Hydrology (8990)	University of Adelaide

Teaching Development

Developer of Hybrid Just-in -Time / Project Based Learning approach.

Co-developer and the facilitator of the multi-award winning Mekong e-Sim online roleplay simulation.

Co-leader of the South Australian cluster of Project EnRoLE.

Current Higher Degree by Research Supervision (University of Adelaide)

Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
2023	Principal Supervisor	Opportunities and challenges for using brackish groundwater to increase agricultural productivity and resilience in the Murray-Darling Basin	Doctor of Philosophy	Doctorate	Full Time	Mr Caleb James Gray
2021	Principal Supervisor	System Risk Modelling in Critical Water Infrastructure - Decision Support for Assessing and Mitigating Cyber Threats.	Doctor of Philosophy	Doctorate	Full Time	Mr Cael James Angus Keenan
2021	Principal Supervisor	Quantitative Framework to Enable the Sustainable Renewable Energy Transition	Doctor of Philosophy	Doctorate	Full Time	Miss Jing Tian
2021	Principal Supervisor	An integrated modelling approach for the planning of collaborative and adaptive wildfire risk-reduction activities	Doctor of Philosophy	Doctorate	Full Time	Mr Douglas Arthur Gordon Radford
2021	Co-Supervisor	An analytical framework to support the application of higher-value approaches in the circular economy.	Doctor of Philosophy	Doctorate	Part Time	Ms Jodie Kathleen Bricout

Past Higher Degree by Research Supervision (University of Adelaide)

Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
2019 - 2023	Principal Supervisor	Real-time Control of Stormwater Storages to Improve Performance of Urban Stormwater Systems	Doctor of Philosophy	Doctorate	Full Time	Mr Ruijie Liang
2018 - 2022	Principal Supervisor	A coupled approach to regional flood and land-use modelling to determine the impact of land-use-change and mitigation strategies on flood risk reduction	Doctor of Philosophy	Doctorate	Full Time	Mr Eike Michael Hamers
2017 - 2022	Principal Supervisor	Understanding the Problem Structure of Optimisation Problems in Water Resources	Doctor of Philosophy	Doctorate	Full Time	Mr Siwei Zhu
2016 - 2020	Principal Supervisor	Towards a Better Understanding of Scenarios and Robustness for the Long-Term Planning of Water and Environmental Systems	Doctor of Philosophy	Doctorate	Full Time	Mr Cameron McPhail
2016 - 2021	Co-Supervisor	A Systematic Investigation of Multi-Objective Evolutionary Algorithms Applied to the Water Distribution System Problem	Doctor of Philosophy	Doctorate	Full Time	Mr Peng Wang
2015 - 2019	Co-Supervisor	Improved Implementation of Scenario-Neutral Climate Impact Assessments for Water Resource Systems	Doctor of Philosophy	Doctorate	Full Time	Mr Sam Anthony Culley
2014 - 2019	Co-Supervisor	Foresight for Risk - Using Scenarios for Strategic Risk Assessment and Management of Emergent Disaster Risk	Doctor of Philosophy	Doctorate	Full Time	Dr Graeme Angus Riddell
2014 - 2018	Principal Supervisor	Developing a (Semi) Automatic Calibration Procedure for Cellular Automata Based Land-use Models	Doctor of Philosophy	Doctorate	Full Time	Charles Peter Newland
2013 - 2017	Co-Supervisor	Practical Implementation of the Scenario-Neutral Approach to Climate Impact Assessments for Hydrological Systems	Doctor of Philosophy	Doctorate	Full Time	Danlu Guo
2012 - 2016	Principal Supervisor	Optimal Water Allocation and Scheduling for Irrigation Using Ant Colony Algorithms	Doctor of Philosophy	Doctorate	Full Time	Mr Duc Cong Hiep Nguyen
2012 - 2015	Co-Supervisor	Improved Evolutionary Algorithm Optimisation of Water Distribution Systems Using Domain Knowledge	Doctor of Philosophy	Doctorate	Full Time	Mrs Weiwei Bi
2012 - 2017	Co-Supervisor	Multiobjective Planning and Design of Distributed Stormwater Harvesting and Treatment Systems through Optimization and Visual Analytics	Doctor of Philosophy	Doctorate	Full Time	Dr Michael Di Matteo
2011 - 2015	Principal Supervisor	Improving Partial Mutual Information Based Input Variable Selection for Data Driven Environmental and Water Resources Models	Doctor of Philosophy	Doctorate	Full Time	Mr Xuyuan Yuan Li
2011 - 2014	Co-Supervisor	A Framework for the Minimization of Greenhouse Gas Emissions Associated with Water Distribution Systems Considering the Time-Dependency of Emissions Factors Associated with the Generation of Electricity	Doctor of Philosophy	Doctorate	Full Time	Christopher Sean Stokes
2010 - 2015	Principal Supervisor	Optimal Sequencing of Water Supply Options Incorporating Sustainability and Uncertainty	Doctor of Philosophy	Doctorate	Full Time	Ms Eva Hooi Ying Beh
2009 - 2014	Co-Supervisor	An adaptive multi-objective framework for the scheduling of environmental flow management alternatives using ant colony optimization	Doctor of Philosophy	Doctorate	Full Time	Ms Joanna Margaret Szemis
2009 - 2014	Principal Supervisor	Frameworks for Assessing and Improving Urban Water Supply Security Planning under Climate Change	Doctor of Philosophy	Doctorate	Full Time	Ms Fiona Paton
2008 - 2013	Principal Supervisor	Frameworks for Evaluating and Improving Simplified Hydrologic Models for Baseflow and Rainfall-Runoff Estimation Using Distributed Physical Models	Doctor of Philosophy	Doctorate	Full Time	Ms Li Li
2007 - 2012	Co-Supervisor	Impacts of an Altered Water and Salinity Regime on the Condition of Wetlands in the Upper South East of South Australia	Doctor of Philosophy	Doctorate	Full Time	Miss Abigail Goodman
2007 - 2013	Principal Supervisor	Fully Integrated Modelling of Surface-Subsurface Flow Processes: Quantifying In-Stream and Overland Flow Generation Mechanisms	Doctor of Philosophy	Doctorate	Full Time	Mr Daniel Partington
2007 - 2012	Co-Supervisor	Multiobjective Genetic Algorithm Optimization of Water Distribution Systems Accounting for Economic Cost Greenhouse Gas Emissions and Reliability	Doctor of Philosophy	Doctorate	Full Time	Dr Wenyan Wu
2004 - 2008	Co-Supervisor	A Contribution Towards Real-Time Forecasting of Algal Blooms in Drinking Water Reservoirs by Means of Artificial Neural Networks and Evolutionary Algorithms	Doctor of Philosophy	Doctorate	Full Time	Ms Amber Welk
2003 - 2014	Co-Supervisor	Water Distribution System Optimization Using Metamodels	Doctor of Philosophy	Doctorate	Full Time	Mr Darren Broad
2003 - 2006	Co-Supervisor	Prediction of Special Core Parameters for Australian Hydrocarbon Basins	Doctor of Philosophy	Doctorate	Full Time	Mr Hussam Goda
2003 - 2006	Principal Supervisor	Bayesian Artificial Neural Networks in Water Resources Engineering	Doctor of Philosophy	Doctorate	Part Time	Dr Greer Humphrey
2003 - 2010	Principal Supervisor	Developing Artificial Neural Network Models for Water Quality Modelling and Prediction	Doctor of Philosophy	Doctorate	Full Time	Mr Robert May
2003 - 2007	Principal Supervisor	Ant Colony Optimisation for Power Plant Maintenance Scheduling	Doctor of Philosophy	Doctorate	Full Time	Ms Wai Foong
2003 - 2008	Principal Supervisor	Genetic Algorithm Parameter Setting for Water Distribution System Optimisation	Doctor of Philosophy	Doctorate	Part Time	Dr Matthew Gibbs
2002 - 2006	Principal Supervisor	Uncertainty Analysis Methods For Multi-Criteria Decision Analysis	Doctor of Philosophy	Doctorate	Full Time	Ms Kylie Hyde
1999 - 2003	Co-Supervisor	USE OF ARTIFICIAL NEURAL NETWORKS FOR PREDICTING SETTLEMENT OF SHALLOW FOUNDATIONS ON COHESIONLESS SOILS	Doctor of Philosophy	Doctorate	Full Time	Dr Mohamed Shahin
1998 - 2003	Co-Supervisor	Forecasting Water Resources Variables Using Artificial Neural Networks	Doctor of Philosophy	Doctorate	Full Time	Mr Gavin Bowden

Editorial Boards

Date	Role	Editorial Board Name	Institution	Country
2017 - 2020	Editor	Environmental Modelling and Software	-	-
2015 - ongoing	Associate Editor	Environmental Modelling and Software	-	-
2011 - 2015	Associate Editor	Water Resources Research	-	-
2006 - 2014	Member	Environmental Modelling and Software	-	-

Position: Professor
Phone: 83134139
Email: holger.maier@adelaide.edu.au
Fax: 83134359
Campus: North Terrace
Building: Engineering North, floor 1
Org Unit: Environmental Engineering

Professor Holger Maier

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Current Higher Degree by Research Supervision (University of Adelaide)

Past Higher Degree by Research Supervision (University of Adelaide)

Editorial Boards

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