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Brian Ross

Brian Ross
Brian Ross
Office: J319
(905) 688-5550 ext. 4284
Personal Homepage
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Research Interests
Education
Recent Publications
Recent M.Sc. Student Thesis
Current M.Sc. Student Thesis

Research Interests

  • AI: computational intelligence, genetic programming, evolutionary computation, multi-objective optimization
  • AI applications: biological modeling, evolutionary design

My research is in the area of evolutionary computation. I have been applying genetic programming towards automatic synthesis of probabilistic networks, as modeled in stochastic process algebra. Probabilistic models in gene regulatory networks have been studied in this framework. I have also interested in GP applications in evolutionary design.

Member of the Bio-Inspired Computational Intelligence Group.


Education

  • MSc University of British Columbia
  • PhD University of Edinburgh

Recent Publications

Journals

  • "The Evolution of Higher-Level Biochemical Reaction Models".
    B.J. Ross. Genetic Programming and Evolvable Machines., v.13, n.1, 2012, pp. 3-31.
  • "Automatic and Interactive Evolution of Vector Graphics Images with Genetic Algorithms".
    S. Bergen and B.J. Ross. The Visual Computer, v.28, n.1, Jan 2012, pp. 35-36.
  • "Evolutionary Synthesis of Stochastic Gene Network Models using Feature-based Search Spaces".
    J. Imada and B.J. Ross. New Generation Computing, v.29, n.4, Oct 2011, pp. 365-390.

Conferences

  • "Evolutionary Approaches to the Generation of Optimal Error Correcting Codes".
    D. McCarney, S. Houghten, and B.J. Ross. GECCO 2012, Philadelphia, July 2012.
  • "Aesthetic 3D Model Evolution".
    S. Bergen and B.J. Ross. EvoMusArt 2012, Malaga, Spain. Best paper award.
  • "Evolution of Stochastic Bio-Networks Using Summed Rank Strategies".
    B.J. Ross. CEC 2011, New Orleans, June 2011.

Book Chapters

  • "Evolutionary Art Using Summed Multi-Objective Ranks".
    S. Bergen and B.J. Ross. Genetic Programming Theory and Practice VIII,
    R. Riolo, T. McConaghy, E. Vladislavleva (eds.), Springer, 2010, pp. 227-244.
  • "Using Multi-objective Genetic Programming to Synthesize Stochastic Processes".
    B.J. Ross and J. Imada. Genetic Programming Theory and Practice VII,
    R. Riolo, U.-M. O'Reilly and T. McConaghy (eds.), Springer, 2010, pp. 159-175.
  • "The Evolution of Artistic Filters".
    C. Neufeld, B.J. Ross, W. Ralph. The Art of Artificial Evolution, P. Machado and J. Cardalda (eds.), Springer, 2008, pp.

Recent Graduate Students

  • Janine Imada, MSc, Evolutionary Synthesis of Stochastic Gene Network
    Models Using Feature-based Search Spaces
    . Feb 2009.