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James Whitacre

Personal

Education

  • Princeton University BSE in Chemical Engineering, 2003
  • University of New South Wales PhD in Computer Science, 2007

Research and Professional Experience:

  • 2009- Consultant at Adaptive Intelligent Systems Pty Ltd (www.adaptive-is.com/index.html)
  • 2009- Research Fellow at University of Birmingham, Computer Science Department,
    • The centre of excellence for research in computational intelligence and applications (CERCIA)
  • 2007-2009, Postdoctoral Research Associate at the Australian Defence Force Academy,
    • Defence and security applications research centre (DSARC)
    • Artificial life and adaptive robotics lab (ALAR)

Language Skills

  • English: native
  • French: Intermediate level

Selected Publication list

  1. Whitacre J. M. and Bender A., “Networked buffering: a basic mechanism for distributed robustness in complex adaptive systems” THEORETICAL BIOLOGY AND MEDICAL MODELLING, VOL. 7(20), 2010 http://www.tbiomed.com/content/7/1/20 (OPEN ACCESS)
  2. Whitacre J. M., “Degeneracy: a link between evolvability, robustness and complexity in biological systems” THEORETICAL BIOLOGY AND MEDICAL MODELLING, vol. 7(6), 2010 http://www.tbiomed.com/content/7/1/6 (OPEN ACCESS)
  3. Whitacre J. M., “Survival of the flexible: explaining the dominance of meta-heuristics within a rapidly evolving world” IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, (submitted January, 2010) http://arxiv.org/ftp/arxiv/papers/0907/0907.0332.pdf
  4. Whitacre J. M. and Bender A., “Degeneracy: a design principle for robustness and evolvability” JOURNAL OF THEORETICAL BIOLOGY, 263(1): 143-153, 2010 http://arxiv.org/ftp/arxiv/papers/0907/0907.0510.pdf ISI Impact Factor 2.454
  5. Whitacre, J. M., “Evidence of coevolution in multi-objective evolutionary algorithms,” InWORLDCOMP 2009 (Las Vegas, Nevada, USA, July 13-16) http://www.box.net/shared/znhcsgy7lx
  6. Whitacre J. M. and Bender A., "Degenerate neutrality creates evolvable fitness landscapes," In WORLDCOMP 2009 (Las Vegas, Nevada, USA, July 13-16). http://www.box.net/shared/y56d91v1qn
  7. Whitacre, J. M., Sarker, R. A., and Pham, T. Q., “The Self-Organization of Interaction Networks for Nature-Inspired Optimization.” IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, vol. 12, pp. 220-230, 2008. ISI Impact Factor 3.257
    http://www.box.net/shared/jt9uzzlod7#Self_Organizing_Topology_Evolu
  8. Whitacre, J. M., Rohlfshagen, P., Yao, X. and Bender, A. “Evolutionary Mechanics and Degenerate Robustness: A Study of Evolvable Problem Representations,” In PPSN 2010 (Krakow, Poland, Sept 11-15) (in press)
  9. Whitacre, J. M., “Evolution-inspired approaches for engineering emergent robustness within an uncertain and dynamic world,” In ALIFE XII 2010 (Odense, Denmark, Aug 19-23) (in press)
  10. Whitacre, J. M., “Neutral evolution and cryptic genetic variation: evidence of complementary pathways to adaptive change in degenerate multi-agent systems,” In ALIFE XII 2010 (Odense, Denmark, Aug 19-23) (in press)

James Whitacre
Published by the LINK-Group | Editor: Péter Csermely | Last updated on 18. July 2010.
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