Global Utilities

Research - Current Postgraduates - Details

Department of Computer Science & Computer Engineering

Haythorne, Sean
Course: PhD
Research Title/Topic: Coevolving Hybrid Cellular Automata and Recurrent Neural Networks Models for Experimental Ecology
Supervisor: Dr. Andrew Skabar and Dr. Hongen Lu
Description:
Research in the construction and transformation of ecological systems is an increasingly important area given the challenges humanity face globally. Progress in Experimental Ecology and Ecological Engineering will benefit from the development of increasingly sophisticated computer models and simulations. Various computer science techniques, such as Evolutionary Computing (EC), Cellular Automata (CA), and Artificial Neural Networks (ANN), have been utilised for modelling complex natural systems. The PhD research aims to examine, develop and assess ecological modelling architectures that combine EC, CA, ANN, and potentially other Artificial Intelligence/Life techniques, and are especially suitable for complementing developments in Ecological Engineering and Experimental Ecology.
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Last Updated: 14 October, 2009