Contact Info
Department of Applied Mathematics
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Phone: 519-888-4567, ext. 32700
Fax: 519-746-4319
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Welcome to Applied Mathematics
The Department of Applied Mathematics has 25 faculty members and over 70 graduate students. We offer undergraduate plans in Applied Mathematics and Mathematical Physics that attract outstanding students. The wide range of interdisciplinary research being undertaken in the department provides a stimulating environment for our graduate program.
The department has research programs in
- Control and Dynamical Systems (including differential equations)
- Fluid Mechanics
- Mathematical Medicine and Biology
- Mathematical Physics
- Scientific Computing
Please take a look at the short video below highlighting some of the department's research in mathematical medicine/biology and fluid mechanics.
University of Waterloo Dept. of Applied Mathematics researchers are discussing how their work helps to build tools used to tackle a broad range of problems that affect us all.
News
- Oct. 25, 2021Applied mathematics team developing AI to predict virus mutations
A team of applied mathematicians at the University of Waterloo have developed a new method that uses artificial intelligence to foresee the most likely mutations of pathogens like SARS-COV-2, the virus that causes COVID-19.
- Oct. 14, 2021Applied mathematics researchers working on targeted vaccination innovation for COVID alert app
Researchers in applied mathematics are developing a program that could be added to the COVID alert app used on smartphones to better target vaccination campaigns. Instead of targeting specific geographies or demographic groups, the researchers propose a strategy based on individual contacts.
- Sep. 24, 2021Applied mathematics professor Chris Bauch releases new paper on AI and tipping points
Chris Bauch, an applied mathematics professor and University Research Chair, recently published a paper in the Proceedings of the National Academy of Sciences (PNAS) on new research related to a deep learning algorithm capable of detecting and predicting tipping points.
Events
- Oct. 26, 2021Numerical Analysis and Scientific Computing Seminar | Dmitri Kuzmin, Flux-limiting approaches to enforcing discrete maximum principles and entropy stability in finite element schemes
For Zoom Link please contact ddelreyfernandez@uwaterloo.ca
- Nov. 2, 2021Numerical Analysis and Scientific Computing Seminar | Sigal Gottlieb, High Order Unconditionally Strong Stability Preserving Multi-Derivative Implicit and Imex Runge–Kutta Methods with Asymptotic Preserving Properties
For Zoom Link please contact ddelreyfernandez@uwaterloo.ca
- Nov. 9, 2021Numerical Analysis and Scientific Computing Seminar | Jennifer Ryan, Designing effective, efficient, and flexible convolution kernels
For Zoom Link please contact ddelreyfernandez@uwaterloo.ca
