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Dr Aaron Zecchin serves as Senior Lecturer in the School of Civil Engineering and Construction within the College of Engineering and Information Technology at The University of Adelaide. He obtained a Bachelor of Engineering (Honours) in Civil Engineering in 2002, a Bachelor of Science in Mathematical and Computer Science in 2003, a Doctor of Philosophy in 2009, and a Master of Mathematical Sciences in 2013, all from The University of Adelaide. His career at the university encompasses roles as Research Associate from 2007 to 2009, Lecturer from 2010 to 2017, and Senior Lecturer since 2015. Zecchin is eligible to supervise Masters and PhD students. He teaches courses such as C&ENVENG 2071 Water Engineering II, C&ENVENG 3079 (7079) Water Engineering and Design III, and C&ENVENG 4018 (7018) Environmental Systems Dynamics.
Zecchin's research specializations include fluid line network dynamics, with emphasis on the development and analysis of partial differential equation solvers, two-dimensional and fluid-structure interaction effects in pipe flow, Laplace-domain characterisations of hydraulic networks for simulation and model identification, and sparse linear solvers for fast steady-state simulation of pipe networks. He utilizes evolutionary algorithms and population-based metaheuristics, including genetic algorithms, ant colony optimisation, particle swarm optimisation, differential evolution, and dynamically dimensioned search algorithm, applied to engineering and environmental problems such as water distribution system design and analysis of convergence behaviour. Additional focus areas encompass system identification via statistical frequency- and time-domain methods for parameter estimation and fault detection in hydraulic systems. Key publications feature "Ant colony optimization applied to water distribution system design: Comparative study of five algorithms" (2007, Journal of Water Resources Planning and Management), "Improved understanding of the searching behavior of ant colony optimization algorithms applied to the water distribution design problem" (2012, Water Resources Research), "Parameter identification in pipeline networks: transient-based expectation-maximization approach for systems containing unknown boundary conditions" (2014, Journal of Hydraulic Engineering), "Paired-IRF Method for Detecting Leaks in Pipe Networks" (2020, Journal of Water Resources Planning and Management), and "Optimal Pipe Network Sensor Layout Design for Hydraulic Transient Event Detection and Localization" (2022, Journal of Water Resources Planning and Management).

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