Graeme Dandy
Professor
Civil, Environmental and Mining Engineering
University of Adelaide
Australia
Biography
PhD, 1976, Massachusetts Institute of Technology (Thesis title: "Design of water quality sampling systems for river networks") MEngSc, 1973, University of Melbourne B.E. (Civil) 1971, (First Class Honours and top of graduating class), University of Melbourne Diploma C.E., 1969, (top of graduating class) Gordon Institute of Technology
Research Interest
- Genetic algorithm techniques applied to the optimum design and operations of water distribution systems - Monitoring, modelling and optimising water quality in water distribution systems - Use of artificial neural networks techniques for forecasting hydrologic and water resources variables - Optimum selection of wastewater treatment trains - Water resources planning
Publications
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May, R.J., Maier, H.R., Dandy, G.C. and Fernando, T.M.K.G. (2008) Non-linear variable selection for artificial neural networks using partial mutual information, Environmental Modelling and Software, 23, 1312 - 1326.
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Gibbs, M.S., Dandy, G.C. and Maier, H.R. (2008), A genetic algorithm calibration method based on convergence due to genetic drift. In press. (to be published in Information Sciences, accepted on 27 March 2008)
