Personal

• E-mail: jwhitacre79 [at] yahoo [dot] com
• Webpage: https://sites.google.com/site/jamesmwhitacre/Home

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

(Articles can be downloaded from www.scribd.com/jwhitacre79)

1. Frei R., Whitacre J.M. “Degeneracy and Networked Buffering: principles for supporting emergent evolvability in agile manufacturing systems” JOURNAL OF NATURAL COMPUTING - SPECIAL ISSUE ON EMERGENT ENGINEERING (in press)  http://www.box.net/shared/0bvj6yf5x1  
2. Whitacre, J. M., Rohlfshagen, P., Bender, A, and  Yao, X.  “Evolutionary Mechanics: new engineering principles for the emergence of flexibility in a dynamic and uncertain world,” JOURNAL OF NATURAL COMPUTING - SPECIAL ISSUE ON EMERGENT ENGINEERING (in press)  http://www.box.net/shared/l56kcd62uk  
3. Tianhai Tian, Sarah Olson, James M. Whitacre, Angus Harding., “The Origins of Cancer Robustness and Evolvability” INTEGRATIVE BIOLOGY, 3, 17-30, 2011 http://pubs.rsc.org/en/content/articlelanding/2011/ib/c0ib00046a   (OPEN ACCESS)
4. Whitacre J. M., “Genetic and environment-induced pathways to innovation: on the possibility of a universal relationship between robustness and adaptation in complex biological systems” EVOLUTIONARY ECOLOGY (in press http://www.springerlink.com/content/0577136586542281/)  (OPEN ACCESS)
5. 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)
6. 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)
7. 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
8. Whitacre J. M. and Bender A., “Degeneracy: a design principle for robustness and evolvability” JOURNAL OF THEORETICAL BIOLOGY, 263(1): 143-153, 2010http://arxiv.org/ftp/arxiv/papers/0907/0907.0510.pdf ISI Impact Factor 2.454
9. 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
10. 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
11. 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
12. 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)
13. 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)
14. 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)