Applied Mathematics

Our Research

The Applied Mathematics Research Group is one of the largest and most forward-thinking in Canada. Research in this group spans a broad variety of modern topics in applied mathematics, ranging from numerical analysis and scientific computing to modelling and rigorous analysis. Most of this research focuses on nonlinear partial differential equations and their wide applications across the sciences. Numerical and computational topics include compressed sensing, computational fluid dynamics, numerical methods for PDEs on surfaces, image and signal processing, spectral methods, medical imaging, integral equation methods, and adaptive mesh methods. Topics in modelling and applied analysis include the study of differential equation models in areas such as atmospheric sciences, kinetic theory, fluid dynamics, cognitive science, mathematical biology and self-organizing behaviour, as well as computational spectral theory and  convergence and error analysis of numerical methods.

Our department offers graduate programs (MSc and PhD) in the area of applied and computational mathematics. More information about these programs can be found on the graduate section of the department's website here: Graduate Programs. The applied mathematics group runs a weekly seminar on Fridays at 3:00pm. Information about upcoming talks can be found on the department's calendar of events on the Math home page or through the link below.

Join us for our weekly seminars, every Friday @ 3:300pm in SCK 9509

Weekly Applied Math Seminar Schedule

People

Faculty

Ben Adcock

Numerical Analysis, Applied and Computational Harmonic Analysis, Compressed Sensing

Ben Ashby

Mathematical Biology, Epidemiology, Ecology and Evolution 

Caroline Colijn

Canada 150 Research Chair in Mathematics for Evolution, Infection and Public Health

Razvan Fetecau

Applied PDE Analysis, Self-Organizing Behaviour

Mary Catherine Kropinski

Computational Fluid Dynamics, Integral Equation Methods

Ailene MacPherson

Infectious Disease Modelling and Estimation
Canada Research Chair (Tier II) in Theoretical Evolutionary Epidemiology

David Muraki

Geophysical Fluid Dynamics, Asymptotic Methods

Nilima Nigam

Numerical Analysis, Spectral Methods, Mathematical Biology

Steve Ruuth

Scientific Computing, PDE's On Surfaces

Jessica Stockdale

Modelling in epidemiology and genomics, mathematical biology

John Stockie

Computational Fluid Dynamics, Industrial Mathematics

Weiran Sun

Applied PDE Analysis, Kinetic Theory

Manfred Trummer

Scientific Computing, Medical Imaging

Paul Tupper

Stochastic Differential Equations, Cognitive Science

JF Williams

Scientific Computing, Adaptive Methods

Ralf Wittenberg

Fluid Dynamics, Mathematical Epidemiology

Robert Russell

(Professor Emeritus) Numerical Analysis, Adaptive Mesh Methods

Postdoctoral Fellows and Visitors

PhD Graduate Students

Recent Courses

Graduate Program

  • APMA 900 (4) - Asymptotic Analysis of Differential Equations
  • APMA 901 (4) - Parital Differential Equations
  • APMA 920 (4) - Numerical Linear Algebra
  • APMA 922 (4) - Numerical Solution of Partial Differential Equations
  • APMA 923 (4) - Numerical Methods in Continuous Optimization
  • APMA 930 (4) - Computational Fluid Dynamics
  • APMA 935 (4) - Analysis and Computation of Models
  • APMA 990 (4) - Selected Topics in Applied Mathematics
  • MATH 895 (4) - Reading Course: Introduction to Compressed Sensing

Undergraduate Courses

  • MATH 418 (3) - Partial Differential Equations
  • MATH 425 (3) - Real Analysis
  • MATH 461 (3) - Continuous Mathematical Models
  • MATH 462 (3) - Fluid Dynamics
  • MATH 467 (3) - Dynamical Systems
  • MATH 470 (3) - Variational Calculus
  • MATH 495 (3) - Selected Topics in Applied Mathematics
  • MACM 409 (3) - Numerical Linear Algebra and Optimization
  • MACM 416 (3) - Numerical Analysis II

Resources

If you are a current SFU Mathematics Postdoctoral Fellow or Graduate Student in the Applied Mathematics Research Group,
and your name is missing from the above lists, please send an email to Casey Bell.

EMAIL