A/PROF Michael Kirley

A/PROF Michael Kirley

Positions

  • Artificial Intelligence (Learning)
  • Complex Adaptive Systems (Complexity)
  • Evolutionary Computation (Algorithms)
  • Multi-Agent Systems (Autonomous agents)

Overview

OverviewText1

  • http://people.eng.unimelb.edu.au/mkirley/

    Since 2004, Dr Michael Kirley has been a member of the academic staff at The University of Melbourne, where he holds an appointment as an Associate Professor (effective Jan 1, 2016) in the School of Computing and Information Systems within the Melbourne School of Engineering.

    • Michael's research interests are focussed within the areas of evolutionary computation and multi-agent systems, or more generally, complex adaptive systems.
    • Typically, research projects undertaken incorporate a combination of theoretical inquiry, computational modelling and empirical study using evolutionary-based multi-agent systems. Specific application domains investigated include: biologically inspired search and optimization techniques (eg. parallel evolutionary algorithms using Cloud computing deployment models); genetic-based machine learning (eg. classifier systems); the computational modelling of biological systems (eg. renal physiology; population ecology); social systems (eg. cultural dynamics; the evolution of cooperation in multi-player games); and economic systems (eg. double auction mechanisms; adaptive trading agents);

    Michael has received multiple awards for excellence in both teaching and research:
    • Excellence in Research 2009, Department of Computer Science and Software Engineering, The University of Melbourne
    • Excellence in Teaching 2011, Department of Computer Science and Software Engineering, The University of Melbourne
    • Teaching Excellence 2005, Faculty of Engineering, The University of Melbourne
    • Excellence in Teaching 2004, Department of Computer Science and Software Engineering, The University of Melbourne

     

       

Publications

Selected publications

Research

Investigator on

Additional Grant Information

    • University of Melbourne, Faculty of Medicine, Dentistry and Health Science Grant: Co-evolutionary dynamics of cultural and social structure (with Prof Yoshi Kashima and Prof Garry Robins). 2011
    • University of Melbourne ECR Grant: Cooperation in multi-agent systems. 2006
    • University of Melbourne ECR Grant: Multi-objective evolutionary algorithms. 2005
       

Awards

Education and training

  • DPhil, Charles Sturt University 2003
  • Other, Charles Sturt University 1994
  • BEd, Deakin University 1988

Awards and honors

  • Teaching Excellence. Department of Computer Science and Software Engineering., The University of Melbourne., 2011
  • Excellence in Research Award. Department of Computer Science., The University of Melbourne., 2010
  • Teaching Excellence Award. Faculty of Engineering., The University of Melbourne., 2005
  • Excellence in Teaching Award. Department of Computer Science and Software Engineering., The University of Melbourne., 2004

Linkages

Supervision

Available for supervision

  • Y

Supervision Statement

  • Research areas include:
    • evolutionary computation (applications; algorithm development; parallel and distributed models)
    • multi-agent systems (applications; evolutionary games; simulation and modelling)
    • complex adaptive systems (applications; theoretical and empirical studies)