Oscar

  Oscar Peredo Andrade


  Interests:
  •   Mathematical Programming
  •   Optimization
  •   High Performance Computing
  •   Data Mining and Statistics
  •   Applications to Financial Services and Mining Industry

    •   Curriculum Vitae (spanish) (english)
      Computer Science Engineer (2008) DCC, Universidad de Chile, Chile
      Thesis: Pattern Reproduction in Geostatistical Simulation (pdf, spanish).
      Keywords: Geostatistics, Parallel Computing, Simulated Annealing, Speculative Computing, Patterns

      Mathematical Engineer (2009) DIM, Universidad de Chile, Chile
      Thesis: Implementation of a Semidefinite Programming method with Parallel Computing (pdf, spanish).
      Keywords: Semidefinite Programming (SDP), Nonlinear SDP, Parallel Computing, Static Output Feedback

      Email: operedo gmail com

      Current job:
  •   Resident student in the Computer Applications in Science & Engineering group at Barcelona Supercomputing Center, Universitat Politecnica de Catalunya, Spain. My current research/application field is Multidisciplinary Design Optimization (MDO).


    •   Previous jobs:
  •   Freelance quantitative analyst (Futures and FOREX).
  •   External consultant at ALGES Lab (Advanced Laboratory for Geostatistical Supercomputing) at Mining Engineering Department, Universidad de Chile, Chile.
  •   Research assistant at Center for Mathematical Modeling.


    •   Publications:

    2011
  • B. Eguzkitza, G. Houzeaux, R. Aubry and O. Peredo. An Implicit and Parallel Chimera Type Domain Decomposition Method. Proceedings of 20th Conference on Domain Decomposition methods, San Diego Supercomputer Center, La Jolla, California, 2011.
  • A. S. Kapoor, P. Nithiarasu, R.V. Loon, O. Peredo and M. Vazquez. Non-Invasive and Inverse Property Estimation of Arterial Elasticity. Submitted to Bioengineering11, hosted by The School of Engineering and Materials Science, Queen Mary, University of London, London, 2011.
  • O. Peredo and J. M. Ortiz. Multiple-point geostatistical simulation based on genetic algorithms implemented in a shared-memory supercomputer. Submitted to The 9th International Geostatistics Congress, Oslo, 2012.
  • O. Peredo and J. M. Ortiz. Parallel implementation of simulated annealing to reproduce multiple-point statistics. Computers and Geosciences, In Press, Corrected Proof:-, 2011.

    • 2010
  • J. M. Ortiz and O. Peredo. Multiple point geostatistical simulation with simulated annealing: Implementation using speculative parallel computing. In P. M. M. Atkinson and C. D. D. Lloyd, editors, geoENV VII Geostatistics for Environmental Applications, volume 16 of Quantitative Geology and Geostatistics, pages 383-394. Springer Netherlands, 2010.


    • 23 Nov 2011