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Holger R Maier

Professor of Integrated Water Systems Engineering and Deputy Head of School

Phone: +61 8 830 34139
Email: hmaier@civeng.adelaide.edu.au
Room: N150, Engineering North Buildingtest

Personal | Publications | Research | Teaching | Consulting

Personal

• Qualifications
• Scholarships
• Awards
• Other Formal Recognition
• Invited Presentations/Workshops
• Professional Affiliations
• Employment History

Qualifications

Bachelor of Civil Engineering (First Class Honours), The University of Adelaide, Adelaide, South Australia, 1990.

Doctor of Philosophy in Environmental/Water Resources Engineering, The University of Adelaide, Adelaide, South Australia, 1996. Thesis Title: Use of artificial neural networks for modelling multivariate water quality time series.

Scholarships

Frank Perry Scholarship in Engineering, The University of Adelaide, 1994 to 1995 (AU$ 7,000 p.a.).

Australian Postgraduate Research Award (Priority Status), The University of Adelaide, 1992 to 1995 (AU$ 19,000 p.a.).

Frank Bull Scholarship for Civil Engineering, The University of Adelaide, 1988 to 1989 (AU$ 900 p.a.).

Awards and Prizes

Winner

High Commendation

Shortlisted

Other Formal Recognition

Invited Presentations / Workshops

Professional Affiliations

Corporate Member, Engineers Australia.
Member, College of Civil Engineers, Engineers Australia.
Chartered Professional Engineer (NPER), Engineers Australia.
Member, Environmental Engineering Society, Engineers Australia.
Member, Modelling & Simulation Society of Australia and New Zealand.
Member, International Environmental Modelling and Software Society
Member, Co-operative Research for Water Quality and Treatment.
Member, eWater Co-operative Research Centre.
Member, Water Research Cluster, University of Adelaide
Foundation Member, Research Institute for Climate Change and Sustainability, University of Adelaide

Employment History

Publications

• Edited Works
• Book chapters
• Journal Papers
• Conference Papers
• Reports

Edited Works

Maier H.R. (2006) Application of Natural Computing Methods to Water Resources and Environmental Modelling, Guest Editor, Special Issue, Mathematical and Computer Modelling,44(5-6), 413-576.

Book Chapters

B9. Zecchin A.C., Maier H.R. and Simpson A.R. (2007) Case study based convergence behaviour analysis of ACO applied to optimal design of water distribution systems, in Chan F. T. S. Chan and Tiwari M. K. (eds), Swarm Intelligence: Focus on Ant and Particle Swarm Optimization, Itech Education and Publishing, Vienna, Austria, ISBN 978-3-902613-09-7, 419-446.

B8. Foong W.K., Maier H.R. and Simpson A.R. (2007) Power plant maintenance scheduling using ant colony optimization, in Chan F. T. S. Chan and Tiwari M. K. (eds), Swarm Intelligence: Focus on Ant and Particle Swarm Optimization, Itech Education and Publishing, Vienna, Austria, ISBN 978-3-902613-09-7, 289-320.

B7. Daniell K.A., Foley B.A., Kingsborough A.B., Maier H.R., Malovka D.J. and Sommerville H.C. (2007) The AUSTIME methodology: quantifiable sustainability assessment coupled with multi-agent simulation, in Deakin M., Mitchell G., Nijkamp P. and Vreeker R. (eds), Sustainable Urban Development Vol. 2: The Environmental Assessment Methods, Routledge, UK., 375-411.

B6. Daniell K.A., Kingsborough A.B., Malovka D.J., Sommerville H.C., Foley B.A. and Maier H.R. (2006) Sustainability assessment of housing developments: A new methodology. In Perez P. and Batten D., Complex Science for a Complex World: Exploring Human Ecosystems with Agents, Part II: Exploring National Research Priorities with Agents, ANU E Press, Canberra, Australia., 113-146.

B5. Jakeman A.J., Norton J.P., Letcher R.A. and Maier H.R. (2006) Integrated modelling for managing catchments, in Sustainable Management of Water Resources: an Integrated Approach, C. Giupponi, A. Jakeman and D. Kassenberg, Eds., Edward Elgar, 263-286.

B4. Dandy G.C., Bowden G.J. and Maier H.R. (2005) Use of artificial neural networks to forecast salinity in rivers, in Artificial Neural Networks in Water Supply Engineering, edited by S. Lingireddy and G.M. Brion, Water Supply Engineering Technical Committee, Infrastructure Council, Environmental and Water Resources Institute, American Society of Civil Engineers, Reston, Virginia, USA, 107-137.

B3. Bowden G.J., Dandy G.C. and Maier H.R. (2005) Forecasting cyanobacteria (blue-green algae) using artificial neural networks, in Artificial Neural Networks in Water Supply Engineering, edited by S. Lingireddy and G.M. Brion, Water Supply Engineering Technical Committee, Infrastructure Council, Environmental and Water Resources Institute, American Society of Civil Engineers, Reston, Virginia, USA, 71-96.

B2. Bowden G.J., Maier H.R. and Dandy G.C. (2003) An evaluation of methods for the selection of inputs for an artificial neural network based river model, in Ecological Informatics: Understanding Ecology by Biologically-Inspired Computation, edited by F. Recknagel, Springer, 215-232.

B1. Maier H.R. and Dandy G.C. (2000) Application of artificial neural networks to forecasting of surface water quality variables: issues, applications and challenges, in Artificial Neural Networks in Hydrology, edited by R.S. Govindaraju and A.R. Rao, Kluwer, Dordrecht, The Netherlands, 287-309.

Journal Papers

J57. Maier H.R., Baron J. and McLaughlan R.G. (2007) Using online roleplay simulations for teaching sustainability principles to engineering students. International Journal of Engineering Education, 23(6), 1162-1171.

J56. Maier H.R. (2007)Meeting the challenges of engineering education via online roleplay simulations. Australasian Journal of Engineering Education, 13(1), 31-39.

J55. Maier H.R. and Rowan T.S.C. (2007) Increasing student engagement with graduate attributes. Australasian Journal of Engineering Education, 13(1), 21-29.

J54. Goda H.M., Behrenbruch P. and Maier H.R. (2007) Alternative modelling approaches for the estimation of irreducible water saturation and maximum effective permeability to oil: Australian hydrocarbon basins. Journal of Petroleum Science and Engineering, 57(1-2), 60-69.

J53. Zecchin A.R., Maier H.R., Simpson A.R., Leonard M. and Nixon J.B. (2007) Ant colony optimisation algorithms applied to water distribution systems design: A comparative study. Journal of Water Resources Planning and Management, ASCE, 133(1), 87-92.

J52. Hyde K.M. and Maier H.R. (2006) Distance-based and stochastic uncertainty analysis for multi-criteria decision analysis in Excel using visual basic for applications. Environmental Modelling and Software, 21(12), 1695-1710.

J51. Maier H.R. (2006) Application of natural computing (computational intelligence) methods to water resources and environmental modelling. Mathematical and Computer Modelling, 44(5-6), 413-414.

J50. Kingston G.B., Maier H.R. and Lambert M.F. (2006) A probabilistic method to assist knowledge extraction from artificial neural networks used for hydrological prediction. Mathematical and Computer Modelling, 44(5-6), 499-512.

J49. Bowden G.J, Nixon J.B., Dandy G.C., Maier H.R. and 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.

J48. Zecchin A.C., Simpson A.R., Maier H.R., Leonard M., Roberts A.J. and Berrisford M.J. (2006) Application of two ant colony optimisation algorithms to water distribution system optimisation. Mathematical and Computer Modelling, 44(5-6), 451-468.

J47. Maier H.R., Zecchin A.C., Radbone L. and Goonan P. (2006) Optimising the mutual information of ecological data clusters using evolutionary algorithms. Mathematical and Computer Modelling, 44(5-6), 439-450.

J46. Gibbs M.S., Morgan N., Maier H.R., Dandy G.C., Nixon J.B. and 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.

J45. Kingston G.B., Lambert M.F and Maier H.R. (2005) Bayesian parameter estimation applied to artificial neural networks used for hydrological modelling. Water Resources Research, 41, W12409, doi:10.1029/2005WR004152.

J44. Hyde K.M., Maier H.R. and Colby C.B. (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.

J43. Kingston G.B., Maier H.R. and Lambert M.F. (2005) Calibration and validation of neural networks to ensure physically plausible hydrological modelling. Journal of Hydrology, 314(1-4), 158-176.

J42. Broad D.R., Dandy G.C and Maier H.R. (2005) Water distribution system optimisation using metamodels. Journal of Water Resources Planning and Management, ASCE, 131(3), 172-180.

J41. Zecchin A.C., Simpson A.R., Maier H.R. and Nixon J.B. (2005) Parametric study for an ant algorithm applied to water distribution system optimisation. IEEE Transactions on Evolutionary Computation, 9(2), 175-191.

J40. Shahin M.A., Jaksa M.B. and Maier H.R. (2005) Neural network based stochastic design charts for settlement prediction. Canadian Geotechnical Journal, 42(1), 110-120.

J39. Hyde K.M., Maier H.R and Colby C. (2003) Incorporating uncertainty in the PROMETHEE MCDA Method. Journal of Multi-Criteria Decision Analysis, 12(4-5), 245-259 (published in 2005).

J38. Bowden G.J., Maier H.R. and Dandy G.C. (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.

J37. Bowden G.J., Dandy G.C. and Maier H.R. (2005) Input determination for neural network models in water resources applications: Part 1 - Background and methodology. Journal of Hydrology, 301(1-4), 75-92.

J36. Maier H.R., Kavanagh S., Kindley R., Carrington A. and Baron J. (2004) Dynamic role-play online - learning from experience. Crisis Response Journal, 1(1), 56-59.

J35. Maier H.R. (2004) Use of examples from nature to make optimal decisions. SASTA Journal, 2004/1, 25-27.

J34. Maier H.R. and Dandy G.C. (2004) Artificial neural networks: a flexible approach to modelling. Water, 31(8), 57-62.

J33. Hyde K.M., Maier H.R. and Colby C. (2004) Reliability-based approach to multi-criteria decision analysis for water resources. Journal of Water Resources Planning and Management, ASCE, 130(6), 429-438.

J32. Maier H.R., Kingston G.B., Clark T., Frazer A. and 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.

J31. Shahin M.A., Maier H.R. and Jaksa M.B. (2004) Data division for developing neural networks applied to geotechnical engineering. Journal of Computing in Civil Engineering, ASCE, 18(2), 105-114.

J30. Maier H.R., Morgan N. and Chow C.W.K. (2004) Use of artificial neural networks for predicting optimal alum doses and treated water quality parameters. Environmental Modelling and Software, 19(5), 485-494.

J29. Tolson B.A., Maier H.R., Simpson A.R. and Lence B.J. (2004) Genetic algorithms for reliability-based optimisation of water distribution systems. Journal of Water Resources Planning and Management, ASCE, 130(1), 63-72.

J28. Shahin M.A., Maier H.R. and Jaksa M.B. (2003) Author's reply to comments by Musso A. and Provanzano P. and Meier R.W. on "Predicting settlement of shallow foundations using neural networks". Journal of Geotechnical and Geoenvironmental Engineering, ASCE, 129(12), 1175-1177.

J27. Shahin M.A., Maier H.R. and Jaksa M.B. (2003) Settlement prediction of shallow foundations on granular soils using B-spline neurofuzzy models. Computers and Geotechnics , 30(8), 637-647.

J26. Bowden G.J., Dandy G.C. and Maier H.R. (2003) Data transformation for neural network models in water resources applications. Journal of Hydroinformatics, 5(4), 245-258.

J25. Maier H.R., Simpson A.R., Zecchin A.C. Foong W.K., Phang K.Y., Seah H.Y. and Tan C.L. (2003) Ant colony optimisation for design of water distribution systems. Journal of Water Resources Planning and Management, ASCE, 129(3), 200-209.

J24. Shahin M.A., Jaksa M.B. and Maier H.R. (2002) Artificial neural network based settlement prediction formula for shallow foundations on granular soils. Australian Geomechanics, 37(4), 45-52.

J23. Shahin M.A., Maier H.R. and Jaksa M.B. (2002) Predicting settlement of shallow foundations using neural networks. Journal of Geotechnical and Geoenvironmental Engineering, ASCE, 128(9), 785-793.

J22. Bowden G.J., Maier H.R. and Dandy G.C. (2002) Optimal division of data for neural network models in water resources applications. Water Resources Research, 38(2), 2.1-2.11.

J21. McLaughlan R.G., Kirkpatrick D., Hirsh, P. and Maier H.R. (2001) Using online roleplay/simulations for creating learning experiences. CAL-laborate, 7, October, 23-25.

J20. Shahin M.A., Jaksa M.B. and Maier H.R. (2001) Artificial neural network applications in geotechnical engineering. Australian Geomechanics, 36(1), 49-62.

J19. Maier H.R., Sayed T. and Lence B.J. (2001) Forecasting cyanobacterium Anabaena spp. using B-spline neurofuzzy models. Ecological Modelling, 146(1-3), 85-96.

J18. Maier H.R., Burch M.D. and Bormans M. (2001) Flow management strategies to control blooms of the cyanobacterium Anabaena circinalis in the River Murray at Morgan, South Australia. Regulated Rivers: Research and Management, 17(6), 637-650.

J17. Maier H.R., Lence B.J., Tolson B.A. and Foschi R.O. (2001) First-order reliability method for estimating reliability, vulnerability and resilience. Water Resources Research, 37(3), 779-790.

J16. Maier H.R. and Dandy G.C. (2001) Neural network based modelling of environmental variables: a systematic approach. Mathematical and Computer Modelling, 33(6-7), 669-682.

J15. Vasquez, J.A., Maier H.R., Lence B.J. and Tolson B.A. (2000) Achieving water quality system reliability using genetic algorithms. Journal of Environmental Engineering, ASCE, 126(10), 954-962.

J14. Baker P.D., Brookes J.D., Burch, M.D., Maier H.R. and Ganf G.G. (2000) Advection, growth and nutrient status of phytoplankton populations in the lower River Murray, South Australia. Regulated Rivers: Research and Management, 16(4), 327-344.

J13. Maier H.R., Sayed T. and Lence B.J. (2000) Forecasting cyanobacterial concentrations using B-spline networks. Journal of Computing in Civil Engineering, ASCE, 14(3), 183-189.

J12. Maier H.R. and Dandy G.C. (2000) Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications. Environmental Modelling and Software, 15(1), 101-124.

J11. Maier H.R. and Dandy G.C. (1999) Empirical comparison of various methods for training feedforward neural networks for salinity forecasting. Water Resources Research, 35(8), 2591-2596.

J10. Maier H.R. and 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.

J9. Maier H.R. and 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.

J8. Maier H.R., Dandy G.C. and Burch M.D. (1998) Use of artificial neural networks for modelling the incidence of cyanobacteria Anabaena spp. in River Murray, South Australia. Ecological Modelling, 105(2/3), 257-272.

J7. Maier H.R. and Dandy G.C. (1997) Author's reply to comments by Fortin, V., Ouarda, T.B.M.J. and Bobee, B. on "The use of artificial neural networks for the prediction of water quality parameters" by Maier, H.R. and Dandy, G.C. Water Resources Research, 33(10), 2425-2427.

J6. Bormans M., Maier H.R., Burch M.D. and Baker P. (1997) Temperature stratification in the lower Murray river: implication for cyanobacterial bloom development. Marine and Freshwater Research, 48(7), 647-654.

J5. Webster I.T., Maier H.R., Baker P. and Burch M.D. (1997) The influence of wind on water levels and lagoon-river exchange in the River Murray, Australia. Marine and Freshwater Research, 48(6), 541-550.

J4. Maier H.R. and Dandy G.C. (1997) Determining inputs for neural network models of multivariate time series. Microcomputers in Civil Engineering - Journal of Computer-Aided Civil and Infrastructure Engineering, 12(5), 353-368.

J3. Maier H.R. and 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.

J2. Maier H.R. and Dandy G.C. (1996) Neural network models for forecasting univariate time series. Neural Network World, 6(5), 747-771.

J1. Maier H.R. and Dandy G.C. (1996) The use of artificial neural networks for the prediction of water quality parameters. Water Resources Research, 32(4), 1013-1022.

Conference Papers - Invited

I5. Maier H.R. and Ascough II, J.C. (2006) Uncertainty in environmental decision-making: issues, challenges and future directions. In: Voinov, A., Jakeman, A., Rizzoli, A., Eds., Proceedings of the iEMSs Third Biennial Meeting: Summit on Environmental Modelling and Software. iEMSs, Burlington, VT, USA, July 2006. Internet: http://www.iemss.org/iemss2006/sessions/all.html (Invited Key Position Paper).

I4. Maier H.R. (2005) The Mekong e-Sim: an online roleplay simulation for developing engineering graduate attributes. ASEE/AaeE 4th Global Colloquium on Engineering Education Pre-Colloquium Event; 2nd Environmental Engineering Eacademics' Workshop: The Future for Environmental Engineering, Sydney, September 26. (Invited Paper)

I3. Kirkpatrick D., McLaughlan R.G., Maier H.R., Hirsch P. (2002) Developing scholarship through collaboration in an online roleplay-simulation: Mekong eSim, a case study. Invited Paper, Proceedings of the Scholarly Inquiry in Flexible Science Teaching and Learning Symposium, UniServe Science, The University of Sydney, pp.13-18.

I2. Lence B.J. and Maier H.R. (2001) The role of reliability, vulnerability and resilience in the management of water quality systems. 2001 Spring Meeting of the American Geophysical Union, Boston, June 1.

I1. Maier H.R. and Dandy G.C. (1995) Modelling cyanobacteria (blue-green algae) in the River Murray using artificial neural networks. International Congress on Modelling and Simulation (Modsim 95), Newcastle, Australia, November 27-30, Vol. 3, pp.268-275.

Conference Papers - Refereed

C57. Fernando T.M.K.G., Maier H.R., Dandy G.C. and Croke B.F.W. (2007) Assessing prediction uncertainty in the BIGMOD model: A shuffled complex evolution Metropolis algorithm approach, in Oxley, L. and Kulasiri, D. (eds) MODSIM 2007 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2007, 1499-1505. ISBN : 978-0-9758400-4-7.

C56. Ravalico J.K., Dandy G.C. and Maier H.R. (2007) MORE sensitivity analysis of the MSM-BIGMOD River Murray flow and salinity model, in Oxley, L. and Kulasiri, D. (eds) MODSIM 2007 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2007, 2754-2760. ISBN : 978-0-9758400-4-7.

C55. Rowan T.S.C., Maier H.R., Connor J. and Dandy G.C. (2007) Development of an integrated modelling framework to investigate environmental and economic management objectives in an irrigated landscape, in Oxley, L. and Kulasiri, D. (eds) MODSIM 2007 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2007, 25-31. ISBN : 978-0-9758400-4-7.

C54. Maier H.R. (2006) Meeting the challenges of engineering education via online roleplay simulations. Proceedings of the 17th Annual Conference of the Australasian Association for Engineering Education, Auckland, New Zealand, December 10-13.

C53. Maier H.R. and Rowan T.S.C. (2006) Increasing student engagement with graduate attributes. Proceedings of the 17th Annual Conference of the Australasian Association for Engineering Education, Auckland, New Zealand, December 10-13.

C52. Walker D.J., Oehlers D.J. and Maier H.R. (2006) Student attitudes to a novel assessment method in engineering. Proceedings of the 17th Annual Conference of the Australasian Association for Engineering Education, Auckland, New Zealand, December 10-13.

C51. May R.J., Dandy G.C., Maier H.R. and Fernando T.M.K.G. (2006) Critical values of a kernel density-based mutual information estimator. IEEE World Congress of Computational Intelligence, Vancouver, Canada, July 16-21, Proceedings on DVD.

C50. Kingston G.B., Maier H.R. and Lambert M.F. (2006) Forecasting cyanobacteria with Bayesian and deterministic artificial neural networks. IEEE World Congress of Computational Intelligence, Vancouver, Canada, July 16-21, Proceedings on DVD.

C49. Gibbs M.S., Maier H.R., Dandy G.C. and Nixon J.B. (2006) On the effect of epistasis and problem size on the optimum GA population size. IEEE World Congress of Computational Intelligence, Vancouver, Canada, July 16-21, Proceedings on DVD.

C48. Broad D.R., Dandy G.C., Maier H.R., and Nixon J.B. (2006) Improving metamodel-based optimisation of water distribution systems with local search. IEEE World Congress of Computational Intelligence, Vancouver, Canada, July 16-21, Proceedings on DVD.

C47. Ravalico J.K., Dandy G.C. and Maier H.R. (2006) Rank equivalence method for sensitivity analysis of an integrated model of a river catchment. In: Voinov, A., Jakeman, A., Rizzoli, A., Eds., Proceedings of the iEMSs Third Biennial Meeting: Summit on Environmental Modelling and Software. iEMSs, Burlington, VT, USA, July 2006. Internet: http://www.iemss.org/iemss2006/sessions/all.html

C46. Kingston G.B., Maier H.R. and Lambert M.F. (2005) A Bayesian approach to artificial neural network model selection. In Zerger, A. and Argent, R.M. (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005, pp. 1853-1859. ISBN: 0-9758400-2-9.

C45. Rowan T.S.C., Maier H.R., Connor J. and Dandy G.C. (2005) Development of an integrated modelling framework for the assessment if river management policies. In Zerger, A. and Argent, R.M. (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005, pp. 1970-1976. ISBN: 0-9758400-2-9.

C44. Ravalico J.K., Maier H.R., Dandy G.C., Norton J.P. and Croke B.F.W. (2005) A comparison of sensitivity analysis techniques for complex models for environmental management. In Zerger, A. and Argent, R.M. (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005, pp. 2533-2539. ISBN: 0-9758400-2-9.

C43. Fernando T.M.K.G., Maier H.R., Dandy G.C. and May R. (2005) Efficient selection of inputs for artificial neural network models. In Zerger, A. and Argent, R.M. (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005, pp. 1806-1812. ISBN: 0-9758400-2-9.

C42. Iseri Y., Dandy G.C., Maier H.R., Kawamura A. and Jinno K. (2005) Medium term forecasting of rainfall using artificial neural networks. In Zerger, A. and Argent, R.M. (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005, pp. 1834-1840. ISBN: 0-9758400-2-9.

C41. Norton J.P., Chiew F.H.S., Dandy G.C. and Maier H.R. (2005) A parameter-bounding approach to sensitivity assessment of large simulation models. In Zerger, A. and Argent, R.M. (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005, pp. 2519-2525. ISBN: 0-9758400-2-9.

C40. Daniell K.A., Sommerville H.C., Foley B.A., Maier H.R., Malovka D.J. and Kingsborough A.B. (2005) Integrated urban system modelling: Methodology and case study using multi-agent systems. In Zerger, A. and Argent, R.M. (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005, pp. 2026-2032. ISBN: 0-9758400-2-9.

C39. Shahin M.A., Maier H.R. and Jaksa M.B. (2005) Investigation into the robustness of artificial neural networks for a case study in civil engineering. In Zerger, A. and Argent, R.M. (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005, pp. 79-83. ISBN: 0-9758400-2-9.

C38. Shahin M.A., Jaksa M.B. and Maier H.R. (2005) Stochastic simulation of settlement prediction of shallow foundations based on a deterministic artificial neural network model. In Zerger, A. and Argent, R.M. (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005, pp. 73-78. ISBN: 0-9758400-2-9.

C37. Baron J. and Maier H.R. (2005) The challenge of maintaining the momentum. Conference of the Australasian Society for Computers in Learning in Tertiary Education (ASCILITE 2005), Brisbane, Australia, December 4-7, pp.57-66.

C36. Maier H.R. and Baron J. (2005) Developing online roleplay simulations for preparing engineering students for multidisciplinary and international practice. Proceedings of the 2005 ASEE/AaeE 4th Global Colloquium on Engineering Education, Australasian Association for Engineering Education. Sydney, Australia, September 26-30.

C35. Daniell T.M. and Maier H.R. (2005) Embedding sustainability in civil and environmental engineering courses. Proceedings of the 2005 ASEE/AaeE 4th Global Colloquium on Engineering Education, Australasian Association for Engineering Education. Sydney, Australia, September 26-30.

C34. Foong W., Maier H.R. and Simpson A.R. (2005) Ant optimisation for power plant maintenance scheduling optimisation. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2005). Washington D.C., USA. June 25 - 29, Vol. 1, pp.249-256.

C33. Foong W., Maier H.R. and Simpson A.R. (2005) Ant optimisation for power plant maintenance scheduling optimisation. Proceedings of the Graduate Student Workshop at the 2005 Genetic and Evolutionary Computation Conference (GECCO-2005). Washington D.C., USA. June 25 - 29.

C32. Kingston G.B., Maier H.R. and Lambert M.F. (2005) A Bayesian method to improve the extrapolation ability of ANNs. The 14th IASTED Conference on Applied Modelling and Simulation (ASM 2005), Benalmadena, Spain, June 15-17.

C31. Hyde K.M. and Maier H.R. (2004) Distance based uncertainty analysis for multi-criteria decision analysis in Ecxel using visual basic for applications (VBA). Managing uncertainty in decision support models (MUDSM 2004), 15th Mini-EURO Conference, Coimbra, Portugal, September 22-24.

C30. Leonard M., Maier H.R., Simpson A.R., Zecchin A.C., Roberts A.J., Berrisford M.J. and Nixon J.B. (2004) Hydraulic risk assessment of water distribution systems. 8th National Conference on Hydraulics in Water Engineering, Surfers Paradise, Australia, July 13-16 Proceedings on CD-ROM.

C29. Gibbs M.S., Maier H.R. and Dandy G.C. (2004) Applying fitness landscape measures to water distribution optimisation problems. Sixth International Conference on Hydroinformatics, Singapore, June 21-24, Vol. 1, pp.795-802.

C28. Kingston G.B., Maier H.R. and Lambert M.F. (2004) A statistical input pruning method for artificial neural networks used in environmental modelling. Transactions of the 2nd Biennial Meeing of the International Environmental Modelling and Software Society, Osnabrück, Germany, June 14-17, pp.87-92.

C27. May R.J., Maier H.R., Dandy G.C. and Nixon J.B. (2004) Control-oriented water quality modelling using artificial neural networks. Enviro '04, Sydney, Australia, May 28-June 10, Proceedings on CD-ROM.

C26. Kingston, G.B., Heneker, T. M., Lambert, M. F. and Maier, H.R. (2003) A comparison of conceptual and empirical modelling methods for simulation of catchment runoff. 28th Hydrology and Water Resources Symposium, The Institution of Engineers, Australia, Wollongong, Australia, Nov 10-13, Vol. 2, pp.299-306.

C25. Maier H.R., Butchart M., Finkemeyer T., Radbone L., Hume T. and Goonan P. (2003) Investigation into the robustness of Australian river assessment clusters. 28th Hydrology and Water Resources Symposium, The Institution of Engineers, Australia, Wollongong, Australia, Nov 10-13, Vol. 2, pp.89-96.

C24. Shahin M.A., Maier H.R. and Jaksa M.B. (2003) Neural and neurofuzzy techniques applied to modelling settlement of shallow foundations on granular soils. Modsim 2003 - International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand Inc, Townsville, Australia, 14-17 July, Vol. 4, pp.1886-1891.

C23. Hyde K.M., Maier H.R. and Colby C.B. (2003) The applicability of robustness measures to water resources decision making. Modsim 2003 - International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand Inc, Townsville, Australia, 14-17 July, Vol. 4, pp.1639-1644.

C22. Kingston G.B., Lambert M.F. and Maier H.R. (2003) Development of stochastic artificial neural networks for hydrological prediction. Modsim 2003 - International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand Inc, Townsville, Australia, 14-17 July, Vol. 2, pp.837-842.

C21. Kingston G.B., Maier H.R. and Lambert M.F. (2003) Understanding the mechanisms modelled by artificial neural networks for hydrological prediction. Modsim 2003 - International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand Inc, Townsville, Australia, 14-17 July, Vol. 2, pp.825-830.

C20. Maier H.R., Radbone L., Finkemeyer T., Hume T.. Butchart M. and Goonan P. (2003) Optimising the mutual information of ecological data clusters using genetic algorithms. Modsim 2003 - International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand Inc, Townsville, Australia, 14-17 July, Vol. 2, pp.807-812.

C19. Zecchin A.C., Maier H.R, Simpson A.R., Roberts A., Berrisford M.J. and Leonard M. (2003) Max-min ant system applied to water distribution system optimisation. Modsim 2003 - International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand Inc, Townsville, Australia, 14-17 July, Vol. 2, pp.795-800.

C18. Gibbs M.S., Morgan N., Maier H.R., Dandy G.C. Holmes M. and Nixon J.B. (2003) Use of artificial neural networks for modelling chlorine residuals in water distribution systems. Modsim 2003 - International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand Inc, Townsville, Australia, 14-17 July, Vol. 2, pp.789-794.

C17. Bowden G.J., Nixon J.B., Dandy G.C., Maier H.R. and Holmes M. (2003) Forecasting chlorine residuals in a water distribution system using a general regression neural network. Modsim 2003 - International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand Inc, Townsville, Australia, 14-17 July, Vol. 2, pp.783-788.

C16. Shahin M.A., Jaksa M.B. and Maier H.R. (2003) Neurofuzzy networks applied to settlement of shallow foundations on granular soils. Applications of Statistics and Probability in Civil Engineering, ICASP9, edited by A. Der Kiureghian, S. Madanat and J.M. Pestana, San Francisco, Millpress, Rotterdam, Vol. 2, pp.1379-1383.

C15. Chow C., Morgan N., Steinhöfer S., Maier H.R. and Drikas M. (2003) Evaluation of enhanced coagulation using artificial neural network modelling - a pilot plant study. AWA 20th Convention, The Australian Water Association, Perth, Australia, April 6 - 10, Proceedings on CD-ROM.

C14. ANNEXG - Artificial Neural Network Experiment Group (Maier H.R. co-author) (2002) An international comparative study of artificial neural network techniques for river stage forecasting. 8th National Hydrology Symposium, British Hydrological Society, Birmingham University, 8 - 11 September, ISBN 090374105X, pp 75-81.

C13. Clark T., Kingston G., Frazer A., Sanderson A. and Maier H.R. (2002) Effectiveness of flow management in reducing the risk of cyanobacterial blooms in rivers. 27th Hydrology and Water Resources Symposium, The Institution of Engineers, Australia, Melbourne, Australia, May 20-23, Proceedings on CD-ROM.

C12. Maier H.R. , Lence B.J. and Tolson B.A. (2002) The role of reliability, vulnerability and resilience in the management of water quality systems. 27th Hydrology and Water Resources Symposium, The Institution of Engineers, Australia, Melbourne, Australia, May 20-23, Proceedings on CD-ROM.

C11. McLaughlan R.G., Kirkpatrick D., Maier H.R. and 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 and T. Petrovic (Eds.), Meeting at the Crossroads. Proceedings of the 18th Annual Conference of the Australian Society for Computers in Learning in Teritiary Education. (pp. 407-415). Melbourne: Biomedical Multimedia Unit, The University of Melbourne.

C10. Simpson A.R., Maier H.R., Foong W.K., Phang K.Y., Seah H.Y. and Tan C.L. (2001) Selection of parameters for ant colony optimisation applied to the optimal design of water distribution systems. International Congress on Modelling and Simulation (Modsim 2001), Canberra, Australia, 10-13 December, Vol. 4, pp.1931-1936.

C9. Bowden G.J., Maier H.R. and Dandy G.C. (2001) Understanding the range of applicability of artificial neural network models. International Congress on Modelling and Simulation (Modsim 2001), Canberra, Australia, 10-13 December, Vol. 4, pp.1919-1924.

C8. Maier H.R., Sayed T. and Lence B.J. (2000) Forecasting cyanobacterium Anabaena spp. using B-spline neurofuzzy models. Paper presented at the 2nd International Conference on Applications of Machine Learning to Ecological Modelling, Adelaide, Australia, 27 November - 1 December (Full paper published in a special edition of Ecological Modelling - see Section on Refereed Journal Papers).

C7. Bowden G.J., Dandy G.C. and Maier H.R. (2000) Identification of inputs for artificial neural network (ANN) based ecological modelling. Paper presented at the 2nd International Conference on Applications of Machine Learning to Ecological Modelling, Adelaide, Australia, 27 November - 1 December.

C6. Bowden G.J., Dandy G.C. and Maier H.R. (2000) Use of evolutionary artificial neural network models to forecast concentrations of cyanobacteria in the River Murray. Proceedings of Hydro 2000: 3rd International Hydrology and Water Resources Symposium of the Institution of Engineeris, Australia, Perth, Australia, November 20-23, Vol. 1, pp.120-125.

C5. Maier H.R. (1999) Artificial neural networks in hydrology - applications and future directions, Proceedings of the 30th Anniversiary Seminar of the Hydrological Society of South Australia (Living With Water), Adelaide, Australia, October 21, pp.76-81.

C4. Burch M.D., Maier H.R. and Bormans M. (1998) Flow management strategies to control cyanobacterial blooms in the lower River Murray. Proceedings (CD-ROM), WaterTECH, Brisbane, Australia, April 27-28, Australian Water and Wastewater Association.

C3. Maier H.R. and Dandy G.C. (1997) Neural network based modelling of environmental variables: A systematic approach. International Congress on Modelling and Simulation (Modsim 97), Hobart, Australia, December 8-12, Vol. 4, pp.1671-1676.

C2. Dandy G.C. and Maier H. R. (1996) Use of artificial neural networks for real time forecasting of water quality. International Conference on Water Resources & Environment Research: Towards the 21st Century, Kyoto, Japan, October 29-31, Vol. II, pp.55-62.

C1. Maier H.R. and Dandy G.C. (1994) Forecasting salinity using neural networks and multivariate time series models. Water Down Under 94, Adelaide, South Australia, November 21-25, Vol. 1, pp.297-302.

Conference Papers - Refereed by Abstract

C27. Ravalico J.K., Maier H.R. and Dandy G.C. (2007) Even MORE - an extension to the MORE method of sensitivity analysis. 5th International Conference in Sensitivity Analysis of Model Output, Budapest, Hungary, June 18-22.

C26. Broad D.R., Maier H.R., Dandy G.C. and Nixon J.B. (2006) Optimal design of water distribution systems including water quality and system uncertainty. 8th Water Distribution Systems Analysis Symposium (WDSA 2006), Cincinnati, Ohio, August 27-30.

A25. Foong W., Maier H.R. and Simpson A.R. (2005) Ant optimisation for power plant maintenance scheduling optimisation: Simplified Hydro Tasmania system. 2nd Multidisciplinary International Conference on Scheduling: Theory & Application (MISTA-2005). New York, USA. July 18 - 21.

A24. Gibbs M.S., Dandy G.C., Maier H.R. and Nixon J.B. (2005) Selection of genetic algorithm parameters for water distribution system optimisation. World Water & Environmental Resource Congress, ASCE, Anchorage, Alaska, USA, May 15-19.

A23. Broad D.B., Maier H.R., Dandy G.C. and Nixon J.B. (2005) Estimating risk measures for water distribution systems using metamodels. World Water & Environmental Resource Congress, ASCE, Anchorage, Alaska, USA, May 15-19.

A22. Goda H.M., Maier H.R. and Behrenbruch P. (2005) The development of an optimal artificial neural network model for estimating initial, irreducible water saturation - Australian reservoirs. Asia Pacific Oil and Gas Conference and Exhibition, Jakarta, Indonesia, April 5-7.

A21. Daniell K.A., Kingsborough A.B., Malovka D.J, Sommerville H.C, Foley B.A. and Maier H.R., (2005), Sustainability Assessment of Housing Developments: A New Methodology, CABM-HEMA-SMAGET Joint Conference on Multi-Agent Modelling for Environmental Management, Bourg-St-Maurice, 21-25 March.

A20. Holmes M., Chow C.W.K., May R.J., Badalyan A., Fitzgerald F., Nixon J.B., Dandy G.C. and Maier H.R. (2005) Disinfection residual control tool: Developing tools for improved disinfection control within water distribution systems. Disinfection 2005 - Sharing Disinfection Technologies: Water, Wastewater, Water Reuse and Biosolids, Mesa, Arizona, USA, Feb.6-9.

A19. Carrington A., Kindley R., Baron J., Maier H. and Kavanagh S. (2004) Learn Outside the Box: Reframing the Questions by Combining Scenario-Based Learning with Online Role Play/Simulation. Best Practice in e-Learning, Online Conference, University of Calgary.

A18. Hyde K.M. and Maier H.R. (2004) Incorporating a distance-based uncertainty analysis approach into Promethee. 17th International Conference on Multi Criteria Decision Analysis, Whistler, Canada, August 6-11.

A17. Broad D.R., Dandy G.C. and Maier H.R. (2004) A metamodelling approach to water distribution system optimisation. World Water and Environmental Resources Congress, Salt Lake City, USA, June 27-July 1, Proceedings on CD-ROM.

A16. May R.J., Maier H.R., Dandy G.C. and Nixon J.B. (2004) General regression neural networks for modelling disinfection residual in water distribution systems. World Water and Environmental Resources Congress, Salt Lake City, USA, June 27-July 1, Proceedings on CD-ROM.

A15. Shahin M.A., Jaksa M.B. and Maier H.R. (2004) Applications of artificial neural networks in foundation engineering, Theme Paper, Theme No.5: Numerical Modelling and Analysis, International e-Conference on Modern Trends in Foundation Engineering: Getotechnical Challenges and Solutions, January 26-30, Chennai, India.

A14. Nixon J.B., Bowden G.J., Dandy G.C., Maier H.R. and Holmes M. (2003) Forecasting chlorine residuals in a water distribution system using an artificial neural network. Australian Water Association Regional Conference, Adelaide, Australia, 6 August.

A13. Gee E.M., Mann E.H.G., Bowden G.J., Costelloe J., Puckridge J., Reid J.R.W. and Maier H.R. (2002) Modelling fish responses to flow variability in Cooper Creek, South Australia: preliminary results from studies over two time periods. Riversymposium 2002, Brisbane, Australia, 3-6 September.

A12. Bowden G.J, Dandy G.C. and Maier H.R. (2002) Ant colony optimisation of a general regression neural network for forecasting water quality. Hydroinformatics 2002: Proceedings of the Fifth International Conference on Hydroinformatics, edited by R.A. Falconer, B. Lin, E.L. Harris and C.A.M.E. Wilson, Cardiff, UK, 1-5 July, pp.692-698.

A11. Lauzon N., Lence B.J. and Maier H.R. (2002) Use of artificial intelligence techniques for the estimation of cyanobacteria (blue-green algae) concentrations. 30th Annual Conference of the Canadian Society for Civil Engineering, Montreal, Canada, 5-8 June, Proceedings on CD-ROM.

A10. Tolson B.A., Maier H.R. and Simpson A.R. (2001) Reliability based optimisation of water distribution systems using genetic algorithms. World Water & Environmental Resource Congress, Orlando, Florida, USA, May 20-24, Proccedings on CD-ROM.

A9. Maier H.R., Simpson A.R., Foong W.K., Phang K.Y., Seah H.Y. and Tan C.L. (2001) Ant colony optimisation for the optimal design of water distribution systems. World Water & Environmental Resource Congress, Orlando, Florida, USA, May 20-24, Proceedings on CD-ROM.

A8. Tolson B.A., Maier, H.R. and Lence B.J. (1999) An application of first and second order reliability methods for estimating reliability, resilience and vulnerability in water quality management. Proceedings of the Conference of the Canadian Water Resources Association, Confronting Uncertainty: Managing Change in Water Resources and the Environment, Vancouver, British Columbia, Canada, October 27-29, pp.175-180.

A7. Vasquez. J.A., Maier H.R. and Lence B.J. (1999) Optimizing reliability in water quality management problems: An application of genetic algorithms. Proceedings of the Conference of the Canadian Water Resources Association, Confronting Uncertainty: Managing Change in Water Resources and the Environment, Vancouver, British Columbia, Canada, October 27-29, pp.181-187.

A6. Burch M.D., Baker P.D., Brookes J.D., Maier H.R., Ganf G.G. and Bormans M. (1997) Cyanobacterial (blue-green algal) blooms in the River Murray, South Australia - life on the edge in the lazy river, where speed kills and starvation is a worry. Paper presented at the Australian Society for Microbiology Annual Scientific Meeting and Exhibition, Adelaide, South Australia, September 28 - October 3.

A5. Maier H.R. and Cox P.G. (1997) The use of appropriate technology in the provision of water supply in Western Samoa. Paper presented at the VIII Pacific Science Inter-Congress, Suva, Fiji, July 13-19.

A4. Baker P.D., Burch M.D. and Maier H.R. (1996) The role of wetlands as a source of recruitment for planktonic cyanobacteria in the lower River Murray. Paper presented at the 35th Congress of the Australian Society for Limnology, Berri, South Australia, September 30 - October 2.

A3. Burch M.D., Baker P.D., Ganf G.G., Maier H.R. and Brookes J.D. (1996) Transport and growth of phytoplanktons in the lower River Murray, South Australia. Paper presented at the 35th Congress of the Australian Society for Limnology, Berri, South Australia, September 30 - October 2.

A2. Maier H.R. and Wright C.J. (1995) Rainfall monitoring in the Gammon Ranges of South Australia. Paper presented at the 9th Australia New Zealand Climate Forum, Wirrina Cove Resort, South Australia, February 12-15.

A1. Dandy G.C. and Maier H.R. (1993) Use of artificial neural networks for forecasting water quality. Preprints, Stochastic and Statistical Methods in Hydrology and Environmental Engineering: An International Conference in Honour of Professor T.E. Unny, University of Waterloo, Ontario, Canada, June 21-25, pp. 509-511.

Reports

R11. Daniell K.A., Kingsborough A.B., Malovka D.J., Sommerville H.C., Foley B.A. and Maier H.R. (2004) A review of sustainability assessment for housing developments. Research Report No. R175, School of Civil and Environmental Engineering, The University of Adelaide, South Australia, May.

R10. Shahin M.A., Maier, H.R. and Jaksa M.B. (2000) Evolutionary data division methods for developing artificial neural network models in geotechnical engineering. Research Report No. R171, School of Civil and Environmental Engineering, The University of Adelaide, South Australia, November.

R9. Shahin M.A., Jaksa M.B. and Maier H.R. (2000) Predicting the settlement of shallow foundations on cohesionless soils using back-propagation neural networks. Research Report No. R167, School of Civil and Environmental Engineering, The University of Adelaide, South Australia, February.

R8. Maier H.R. and Dandy G.C. (1995) Effect of neural network parameters and geometry on the performance of backpropagation networks. Research Report No. R132, School of Civil and Environmental Engineering, The University of Adelaide, South Australia, October.

R7. Maier H.R. (1995) A review of artificial neural networks. Research Report No. R131, School of Civil and Environmental Engineering, The University of Adelaide, South Australia, August.

R6. Maier H.R. and Dandy G.C. (1995) Application of multivariate time series modelling to the prediction of salinity. Research Report No. R129, School of Civil and Environmental Engineering, The University of Adelaide, South Australia, July.

R5. Maier H.R. and Dandy G.C. (1995) Comparison of the Box-Jenkins procedure with artificial neural network methods for univariate time series modelling. Research Report No. R127, School of Civil and Environmental Engineering, The University of Adelaide, South Australia, June.

R4. Maier H.R. and Wright C.J. (1995) Rainfall monitoring report: 1988-1993. Gammon Ranges Scientific Project, Scientific Expedition Group, January.

R3. Maier H.R. and Dandy G.C. (1994) Blue-green algae in the River Murray. General Report No. G25, School of Civil and Environmental Engineering, The University of Adelaide, South Australia, December.

R2. Maier H.R. and Dandy G.C. (1994) Methods for determining inputs for artificial neural networks used in multivariate time series modelling, Research Report No. R121. School of Civil and Environmental Engineering, The University of Adelaide, South Australia, November.

R1. Maier H.R. and Dandy G.C. (1993) The application of artificial neural networks to the prediction of salinity. Research Report No. R101, School of Civil and Environmental Engineering, The University of Adelaide, South Australia, February.

Research

• Research Interests
• Postgraduate Students
• Supervision of Research Associates
• Research Grants
• Journal Review
• Research Grant Review
• Editorial Responsibilities - Journals
• Editorial Responsibilities and Organisation - Conference

Research Interests

1. Sustainable infrastructure and natural resources management:

• Prediction, forecasting and data analysis using statistically-based techniques:
  • Artificial neural networks
  • Neurofuzzy methods
  • Self-organising maps
  • Mutual information
• Optimisation using evolutionary algorithms and other heuristics derived from nature:
  • Genetic algorithms
  • Ant colony algorithms
• Sensitivity, risk and uncertainty analysis:
  • Monte Carlo simulation
  • First order reliability analysis
  • Set-to-set mapping
• Sustainability assessment and decision-making:
  • Multi-criteria decision analysis
  • Agent-based modelling
• Optimal design and operations of water supply and irrigation systems
• Rainfall-runoff modelling
• Water quality management in rivers
• River health assessment
• Hydropower system management

2. Engineering education:

• Roleplay-simulations
• Active learning methods for developing graduate attributes
• Assessment of open-ended problems
• Embedment of sustainability in engineering degree programs

Postgraduate Students

Supervision of Research Associates

Research Grants

Journal Review

Reviewer, Environmetrics.
Reviewer, Environmental Modelling and Software.
Reviewer, Journal of the American Water Resources Association.
Reviewer, IEEE Transactions on Neural Networks.
Reviewer, Aquatic Ecology.
Reviewer, Journal of Environmental Engineering, ASCE.
Reviewer, Water Resources Research.
Reviewer, River Research and Applications (formerly Regulated Rivers: Research and Management)
Reviewer, Journal of Hydraulic Engineering, ASCE.
Reviewer, Journal of Water Resources Planning and Management, ASCE.
Reviewer, Journal of Environmental Engineering and Science.
Reviewer, Journal of Hydrology.
Reviewer, Water Management Journal, ICE.
Reviewer, Mathematical and Computer Modelling.
Reviewer, Advances in Engineering Software.
Reviewer, International Journal of Engineering Education
Reviewer, Engineering Optimisation.

Research Grant Review

Reviewer, Natural Science and Research Council of Canada
Reviewer, National Science Foundation, USA
Reviewer, Australian Research Council
Reviewer, Natural Environment Research Council, UK
Reviewer, Israel Science Foundation
Reviewer, Council for Earth and Life Sciences, the Netherlands
Reviewer, City University of Hong Kong

Editorial Responsibilities - Journals

• 2006-present: Member, Editorial Board, Environmental Modelling and Software, Elsevier.
• 2006: Guest Editor, Mathematical and Computer Modelling, Special Issue on "Application of Natural Computing Methods to Water Resources and Environmental Modelling", Elsevier.

Editorial Responsibilities and Organisation - Conference

• 2008: Member of Technical Committee, 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), Hong Kong, June 1-6.
  
• 2008: Member of International Scientific Committee, Water Down Under 2008: the 4th International Conference on Water Resources and Environment Research and the 31st Hydrology and Water Resources Symposium, April 14-17, Adelaide, Australia.
• 2007: Member of Program Committee, 2007 International Conference on Computational Intelligence and Software, Harbin, China, December 17-19.
  
• 2007: Member of Program Committee, Eighteenth Annual Conference of the Australasian Association for Engineering Education, Melbourne, Australia, December 9-13.
  
• 2007: Reviewer, 2007 International Joint Conference on Neural Networks (IJCNN 2007), Orlando, Florida, USA, August 12-17
• 2007: Organisation of session on "Innovations in water engineering: The role of data based techniques" for Modsim 2007: International Congress on Modelling and Simulation, December 10-13, Christchurch, New Zealand, December 2007.
• 2006: Member of Program Committee, 2006 International Conference on Computational Intelligence and Software, Guangzhou, China, November 3-6, 2006.
• 2006: Co-organisation of special session on "Sensitivity and uncertainty assessment of integrated environmental models" for IEMSS2006: Summit on Environmental Modelling and Software, International Environmental Modelling and Software Society, Burlington, Vermont, USA, July 9-12, 2006.
• 2006: Running workshop on Online Roleplay Simulations, 17th Annual Conference of the Australasian Association for Engineering Education, Auckland, New Zealand.
• 2006: Reviewer, 17th Annual Conference of the Australasian Association for Engineering Education, Auckland, New Zealand, December 10-13, 2006.
• 2006: Reviewer, WEA 2006: Fifth International Workshop on Experimental Algorithms, Menorca Island, Spain, May 24-27, 2006.
• 2005: Reviewer, 4th ASEE/AaeE Global Colloquium on Engineering Education, Sydney, September 26-30.
• 2005: Organisation of session on "Innovations in water engineering: The role of data based techniques" for Modsim 2005: International Congress on Modelling and Simulation, Melbourne, Australia, December 12-15, 2005.
• 2005: Editorial board member, Tenth International Conference on Civil, Structural and Environmental Engineering Computing, Rome, Italy, August 30-September 2, 2005.
• 2003: Organisation of session on "Natural computing methods for modelling water resources and hydrology" for Modsim 2003: International Congress on Modelling and Simulation, Townsville, Australia, July 14-17, 2003.
• 2003: Chairing of technical sessions, Modsim 2003: International Congress on Modelling and Simulation, Townsville, Australia, July 14-17, 2003.
• 2002: Member of Technical Organising Committee, HYDRO 2002: Conference on Hydraulics, Water Resources and Ocean Engineering, IIT, Bombay, December 16 - 17, 2002.
• 2001: Organisation of session on "Applications of biologically inspired modelling methods in water engineering", Modsim 2001: International Congress on Modelling and Simulation, The Australian National University, Canberra, Australia, December 10-13, 2001.
• 2001: Editorial board member, Modsim 2001: International Congress on Modelling and Simulation, The Australian National University, Canberra, Australia, December 10-13, 2001.
• 2001: Chairing of technical sessions, Modsim 2001: International Congress on Modelling and Simulation, The Australian National

Teaching

• Courses Taught
• Teaching Awards
• Teaching Grants
• Teaching Development

Courses Taught

Teaching Awards

Awarded a Carrick Award for Australian University Teaching for Teaching Excellence, 2006

Awarded the Australasian Association for Engineering Education Excellence in Engineering Education Award for Excellence in Teaching and Learning in Engineering Education, 2006

Holger has impressed his peers by the sustained scholarly approach displayed in his teaching; with the manner in which he has approached improvements to the student learning experience and the very positive student feedback he has received. He is a pioneer in the development of role-play simulations for engineering students, and it is for this approach that he has been recognised within the University of Adelaide, as well as nationally and internationally. Holger is an inspirational example of a professional engineer, one who has a command of the literature, generates original research and uses this scholarly basis to excite students. Holger is passionate about sharing ideas of sustainable management of natural resources and their interface with human infrastructure resources with his students.

Awarded Carrick Citation for Outstanding Contributions to Student Learning for "sustained contributions to the development and promotion of online situational learning for the development of graduate attributes", 2006

Received a high commendation, "Australasian Association for Engineering Education Excellence in Engineering Education Award, Excellence in a Curriculum Team Project in Engineering Education Category", 2005.

"The Mekong e-Sim was designed to facilitate students' awareness of the political, social, economic and scientific dimensions of decision-making in situations requiring the management of conflict associated with resource development. This is a unique teaching and learning activity... [that] has had a significant impact on progressing the pedagogy associated with internet mediated role-play simulation by the dissemination of e-Sim knowledge to other disciplines and to the literature."

Received the "Stephen Cole the Elder Prize for Excellence in Teaching", The University of Adelaide, 2002.

"It is evident that you have gained the esteem of your colleagues and students for being an innovative, reflective and enthusiastic teacher."

Received the "Commonwealth of Learning Award of Excellence for Distance Education Materials" for the Mekong e-Sim project, 2002.

"The Mekong e-Sim programme reflects the growing interest in open and distance learning practices in the use of online learning technologies to support learner centeredness and flexible access to learning opportunities. Its educational design comprises appropriate use of role play simulation in an asynchronous online educational context including ample opportunity for students to critically reflect on ensuing discussions and group learning processes. Within this context there is clear identification of learning outcomes, assessment procedures and opportunities for feedback for learners. There is evidence in this programme of very astute usage of delivery technology with optimum opportunities for learners to communicate from a distance - asynchronously as well as synchronously."

Received the "Pearson Education UniServe Science Teaching Award" for the Mekong e-Sim project, 2001.

"Your submission was outstanding. Your project was very innovative, in the sense of being a new way of teaching using information technology. It was based on sound educational principles and backed by evaluation that was sensible, thorough and convincing."

Received the ASCILITE (Australasian Society for Computers in Learning in Tertiary Education) award for "Exemplary use of Electronic Technologies in Teaching and Learning in Tertiary Education: Best Web Based Project", for the Mekong e-Sim project, 2001.

Teaching Grants

Teaching Development

Professor Maier is a co-developer and the facilitator of the multi-award winning Mekong e-Sim online roleplay simulation.

Consulting Activities

Areas of Expertise

1. Sustainable infrastructure and natural resources management:

• Prediction, forecasting and data analysis using statistically-based techniques:
  • Artificial neural networks
  • Neurofuzzy methods
  • Self-organising maps
  • Mutual information
• Optimisation using evolutionary algorithms and other heuristics derived from nature:
  • Genetic algorithms
  • Ant colony algorithms
• Sensitivity, risk and uncertainty analysis:
  • Monte Carlo simulation
  • First order reliability analysis
  • Set-to-set mapping
• Sustainability assessment and decision-making:
  • Multi-criteria decision analysis
  • Agent-based modelling
• Optimal design and operations of water supply and irrigation systems
• Rainfall-runoff modelling
• Water quality management in rivers
• River health assessment
• Hydropower system management

2. Education and Training:

• Roleplay-simulations
• Active learning methods for developing graduate attributes
• Assessment of open-ended problems
• Embedment of sustainability in engineering degree programs