Past Events

The generic representations of p-adic groups are used in different contexts but still carry a touch of mystery. I will explain their use, and some central results about them. Further, I will give an account on a recent work with Cunningham, Fiori and...

The quantum Bruhat graph is introduced by Brenti-Fomin-Postnikov to study structure constants of the quantum cohomology ring of the flag variety, with very rich combinatorial structures. In this talk, we provide an explicit formula for the minimal...

There is an interesting connection between chemistry and graph theory. This connection is highlighted by the relationship between a energy of a molecule and the eigenvalues of its graph. In the 1970s, a chemist named Ivan Gutman introduced a concept...

Methane's short lifespan, high Global Warming Potential, and high anthropogenic emissions level make it the most potent greenhouse gas in terms of rapidly reducing global warming. The oil and gas sector is the most significant contributor to methane...

Using representations of functional data can be more convenient and beneficial in subsequent statistical models than direct observations. These representations, in a lower-dimensional space, extract and compress information from individual curves...

Zero forcing is a combinatorial game played on a graph with the ultimate goal of changing the colour of all the vertices at a minimal cost. Originally this game was conceived as a one-player game, but later a two-player version was devised in...

In this talk I will discuss recent work resolving Buchi's problem, which has implications for Hilbert's Tenth Problem. In particular, we show that if there is a tuple of five integer squares (x12,x22,x32,x42,x52)(x12​,x22​,x32​,x42​,x52​)xi+22−2xi+12...

In this talk, I will discuss recent work in which we establish the rigidity of the Hawking mass for stable constant mean curvature spheres, addressing a problem posed by Robert Bartnik in 2002. More precisely, we demonstrate that any complete...

What constitutes a fair algorithm and the ethical use of data is context specific. Algorithms are not neutral and optimization choices will reflect a specific value system and the distribution of power to make these decisions. Data also reflect...

Derivative-free optimization (DFO) methods are a class of optimization methods that do not use the derivatives of the objective or constraint functions. Model-based DFO methods are an important class of DFO methods that are known to struggle with...