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: 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 home page here: or through the link below.


Ben Adcock

Numerical Analysis, Applied and Computational Harmonic Analysis, Compressed Sensing

Razvan Fetecau

Applied PDE Analysis, Self-Organizing Behaviour

Mary Catherine Kropinski

Computational Fluid Dynamics, Integral Equation Methods

David Muraki

Geophysical Fluid Dynamics, Asymptotic Methods

Nilima Nigam

Numerical Analysis, Spectral Methods, Mathematical Biology

Steve Ruuth

Scientific Computing, PDE's On Surfaces

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

Name   Supervisor
Brugiapaglia, Simone B. Adcock & P. Tupper
Jenkins, Gavin P. Tupper

Graduate Students

Ph.D. Students
Ambrozic, Martin
Chen, Tian
Goodman, Benjamin
Hossain, Alamgir
Hosseini, Bamdad
Janbek, Bebart
King, Nathan
Kovacic, Mitchell
Nakano, Sonoko
Petras, Argyrios
Sui, Yi
M.Sc. Students
Chow, Kevin
Garcia, Juan Gabriel
He, Bolong
Jian, Jie
May, Ian
Mirazimi, Saeed
Mulberry, Nicola
Wai, Benny
Walsh, Raymond
Wang, Xinyi
Wishart, Riley
Zarrinderakht, Maryam