Resume

• 2011

  Raymond

  Spiteri

  Mprime Network Inc.

  Saskatoon Police Service

  University of Saskatchewan

  Worked to connect academia to the private sector.

  Mprime Network Inc.

  Professor

  Numerical analysis; scientific computing; high-performance computing.\n\n(Using computers to solve mathematically formulated problems from science and engineering.)

  University of Saskatchewan

• 2007

  Canadian Light Source Inc.

  Ministry of Justice

  Government of Sask

  Algorithms and software for beamline control; modelling of the cryogenic system.\n\nCurrently working on the design of innovative and optimized diffraction gratings.

  Canadian Light Source Inc.

• 1999

  Acadia University

  Dalhousie University

  Research

  teaching

  administration

  Acadia University

  Saskatoon Police Service

  Saskatchewan

  Canada

  Working on data analytics and software for projects associated with missing persons.

  Research Collaborator

  Research

  teaching

  administration

  Dalhousie University

  Ministry of Justice

  Government of Sask

  Saskatchewan

  Canada

  Working on data analytics and software for projects involving recidivism

  missing person

  and remand.

  Research Collaborator

• 1990

  Maltese

  PhD

  I worked on my PhD in numerical analysis and scientific computing.

  Applied Mathematics

  Computer Science

  Society for Industrial and Applied Mathematics

  Canadian Applied and Industrial Mathematics Society

• 1986

  B.Sc. (Hons.)

  I obtained my BSc (Hons) in Applied Mathematics and Theoretical Physics.

  Applied Mathematics (Theoretical Physics)

  Physics and Astronomy Club

• Canadian Applied and Industrial Mathematics Society

  President

  The Canadian Applied and Industrial Mathematics Society (CAIMS) * Societe Canadienne de Mathematique Appliquee et Industrielle (SCMAI) is Canada’s national organization dedicated to the promotion of applied mathematics and computational science for solving real-world problems. Since its inception in 1979

  CAIMS has worked towards increasing public awareness and support for applied and industrial mathematics both nationally and internationally through education and scholarship. More information about CAIMS can be found at http://www.caims.ca.

  Canadian Applied and Industrial Mathematics Society

  President-Elect

  The Canadian Applied and Industrial Mathematics Society (CAIMS) * Societe Canadienne de Mathematique Appliquee et Industrielle (SCMAI) is Canada’s national organization dedicated to the promotion of applied mathematics and computational science for solving real-world problems. Since its inception in 1979

  CAIMS has worked towards increasing public awareness and support for applied and industrial mathematics both nationally and internationally through education and scholarship. More information about CAIMS can be found at http://www.caims.ca.

  Canadian Applied and Industrial Mathematics Society

  Algorithms

  Software Development

  Computer Science

  Python

  Research

  Scientific Computing

  Programming

  Writing

  Teaching

  Mathematics

  High Performance Computing

  Optimization

  Simulation

  Numerical Analysis

  Matlab

  Higher Education

  Simulations

  Mathematica

  Software Engineering

  Science

  Improved MESH efficiency via parallelization and code optimization

  In this work

  Environment Canada’s model Modélisation Environmentale\nCommunautaire (MEC)–Surface and Hydrology (MESH) 1.3

  which is based on the Canadian\nLand Surface Scheme (CLASS)

  was examined via code profiling to determine the slowest\nportions of code. Focus was given to determining whether the code could be adapted for\nparallelism targeting shared-memory processors and whether various code optimizations could\nbe made to the code structure

  Improved MESH efficiency via parallelization and code optimization

  S.L. Butler

  A common error in the electrical resistivity method used in geophysics occurs when a cable connected to an electrode is inadvertently grounded at a point other than the intended electrode

  thus creating an extra electrode.\n\nIn this paper we derive expressions for the error induced by the unintentional grounding

  and we found that the theoretical error is in agreement with measurements made in the field. The error is greatest when a cable from a potential electrode is grounded near a current electrode

  and vice versa.

  An analysis of errors caused by leakage currents and unintentional potential groundings in the electrical resistivity method

  Joakim Sundnes

  The bidomain model is a popular model for simulating electrical activity in cardiac tissue. It is a continuum-based model consisting of non-linear ordinary differential equations (ODEs) describing spatially averaged cellular reactions and a system of partial differential equations (PDEs) describing electrodiffusion on tissue level. Because of this multi-scale

  ODE/PDE structure of the model

  operator-splitting methods that treat the ODEs and PDEs in separate steps are natural candidates as numerical solution methods. Second-order methods can generally be expected to be more effective than first-order methods under normal accuracy requirements. However

  the simplest and the most commonly applied second-order method for the PDE step

  the Crank–Nicolson (CN) method

  may generate unphysical oscillations. In this paper

  we investigate the performance of a two-stage

  L-stable singly diagonally implicit Runge–Kutta method for solving the PDEs of the bidomain model. Numerical experiments show that the enhanced stability property of this method leads to more physically realistic numerical simulations compared to both the CN and backward Euler methods.

  Stable time integration suppresses unphysical oscillations in the bidomain model