Simon Fraser University

In the simulation of complex physics, multiple model forms of varying fidelity and resolution are commonly available. In computational fluid dynamics, for example, common model fidelities include potential flow, inviscid Euler, Reynolds-averaged...

An intriguing application of Deep Learning research is the use of Deep Convolutional Neural Networks (DCNNs) for image processing, as seen for example in the Prisma app and the Deep Dream algorithm. At SFU SIAT's iVizLab, we are using DCNNs within...

Spherical harmonics are the natural basis for square integrable functions on the sphere in the sense of Lebesgue. However, their analytic structure makes them formidable to work with numerically. In this talk, we will present rapid transformations...

The purpose of the conference is to promote interaction and networking among new researchers in these fields. The participants will present their research via a short expository talk and a poster and mingle throughout the day. There will be plenary...

Skeletal muscle are complex living tissues that can undergo large deformations in short periods of time. Also, it is known that small volumetric changes can occur during contraction. In this presentation we introduce a dynamic nonlinear elastic...

The run-and-tumble motion of bacteria such as E. Coli can be represented by a kinetic equation considered with an hyperbolic scaling, and a Hopf-Cole transformation that makes the problem become non-linear. It has been proved that the asymptotic...

The idea of this event is to offer graduate students in Statistics and Actuarial Science with an opportunity to attend a seminar with accessible talks providing them an introduction to active areas of research in the field. For two students from each...

A wide variety of physical and biological systems can be described as continuum limits of interacting particles. Many of these problems are gradient flows and their dynamics are governed by a monotonically decreasing interaction energy that is often...

I am working with colleagues on several projects modelling Lithium Ion batteries. Experimental results are fit to simple models of performance and ``State of Health”, a vaguely defined measure of the change of battery characteristics with use and age...

We characterize the intrinsic complexity of a set S in a metric space W by the least dimension N (epsilon) of a linear space V ⊂ W that can approximate S to an epsilon error. We show a scaling law for N (epsilon) for high frequency wave fields in...