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Personal profile

Biography

Professor David Green is one of Australia’s leading experts on complexity theory. His proof of universality showed that networks underlie the structure and behaviour of all complex systems. More recently, his theory of dual phase evolution explains how order emerges in many natural and artificial systems. His research on complexity and evolutionary computing has provided new insights in many diverse fields, including: forest ecology, proteins, geographic information, social networks, atificial intelligence and theory of computation. He is the author of 9 books, including Of Ants and Men (2014), Dual-Phase Evolution (2014), Complexity in Landscape Ecology (2006), and The Serendipity Machine (2004).  He is also the author of more than 200 research articles on complexity theory, evolutionary computing, and multi-agent systems.

 

Monash teaching commitment

Professor David Green has experience as the Chief Examiner for the following units in the Faculty of IT:

  • FIT2083 Research methods in computer science
  • FIT2084 Research methods in information systems and information management
  • FIT4005/FIT5185 IT research methods
  • FIT4009 Advanced topics in intelligent systems
  • FIT5125/FIT5143 IT research methods

David has experience as the Lecturer for the following units in the Faculty of IT:

  • FIT1002 Introduction to Java programming
  • FIT1004 Data management
  • FIT2083 Research methods in computer science
  • FIT2084 Research methods in information systems and information management
  • FIT4005/FIT5185 IT research methods
  • FIT4009 Advanced topics in intelligent systems
  • FIT5125/FIT5143 IT research methods
  • FIT6021 Advanced research methods 1
  • FIT6022 Advanced research methods 2

Education/Academic qualification

Ecology, Doctor of Philosophy, Dalhousie University

Award Date: 1 Mar 1977

Mathematics, Master of Science, Monash University

Award Date: 10 Mar 1974

Mathematics, Bachelor of Science (Honours), Monash University

Award Date: 11 Apr 1972

Research area keywords

  • Artificial Life
  • Bioinformatics
  • Complex Systems
  • Complexity in Landscape Ecology
  • Distributed Information Systems
  • Ecology
  • Environmental Informatics
  • Evolutionary Computation
  • Network Theory
  • Optimization
  • Simulation
  • Social Networks
  • Graph Theory
  • Nature-inspired algorithms

Network

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