Simon Fraser University

p-Adic analogues of triangulations of Riemann surfaces give us a very concrete way of understanding degenerate parts of modular Jacobians. In this talk, I will discuss how this yields a flexible way to understand the action of Hecke operators on...

A holepunch cloud is a curious phenomenon where a disturbance in a thin cloud layer, as can be caused by ascending or descending aircraft, results in a growing circular hole of clear air. Observed since the dawn of aviation, only in 2011 was this...

Co-optimization is a special type of optimization where the quality of potential solutions (to be optimized) needs to be assessed over a very large number of circumstances (tests). An important result in co-optimization is that there is “free lunch”...

In the 70's, Tutte developed a clever algebraic approach, based on certain "invariants", to solve a functional equation that arises in the enumeration of properly coloured triangulations. The enumeration of plane lattice walks confined to the first...

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 three students from...

Reproducibility should be the bedrock on which our collective scientific research literature rests. Numerous "irreproducible results" serve as counterexamples showing us how far we are from achieving that ideal. At the same time, scientific inquiry...

The goal of the summer school is to take a small collection of highly motivated and talented undergraduate students from mathematics, applied mathematics, science and computer science who are interested in the fundamentals of modelling and practical...

Particle-laden flows are ubiquitous in environmental, geophysical and engineering processes. The intricate dynamics of these two-phase flows is governed by the momentum, heat and mass transfer between the continuous fluid phase and the dispersed...

Compressive sensing in its most practical form aims to recover a function that exhibits sparsity in a given basis from as few function samples as possible. One of the fundamental results of compressive sensing tells us that $O(s \log^4 N)$ samples...