Past Events

One of the challenges of the accurate simulation of turbulent flows is that initial data is often incomplete. Data assimilation circumvents this issue by continually incorporating the observed data into the model. A new approach to data assimilation...

In this joint work with X. Zhou, we exhibit the first examples of non-generic metrics on the three sphere in which the varifold associated with a two-parameter min-max construction must be a multiplicity two minimal surface. This is proved by a new...

Abstract: Skeletal muscle structure and the changes that occur in diseased muscle tissue cross several physical length scales. Diseased muscle tissue often has alterations on the microscopic level to individual contractile components inside the...

The intrinsic infinite-dimensional nature of functional data creates a bottleneck in the application of traditional classifiers to functional settings. These classifiers are generally either unable to generalize to infinite dimensions or have poor...

Are you looking for professional development and portfolio-building opportunities in the data science sector? Join data science enthusiasts for the Vancouver DataJam: a virtual event with a focus on supporting members of gender and racial minorities...

Large systems of interacting particles (or agents) are widely used to investigate self-organization and collective behavior. They frequently appear in modeling phenomena such as biological swarms, crowd dynamics, self-assembly of nanoparticles and...

Abstract Growing plant shoots exhibit circumnutations, namely, oscillations that draw three-dimensional trajectories, whose projections on the horizontal plane generate pendular, elliptical, or circular orbits. A large body of literature has followed...

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Abstract: In this talk we will present a new upper bound of $s_r(K_t) = O(t^5r^{5/2})$ on the Ramsey parameter $s_r(K_t)$ introduced by Burr, Erd\H{o}s and Lov\'{a}sz in 1976, which is defined as the smallest minimum degree of a graph $G$ such that...

In this talk, I will discuss random walks on Gromov hyperbolic spaces. Due to the hyperbolicity of the spaces, random walks exhibit behaviors that differ from the classic (Euclidean) ones. These behaviors include the escape to infinity, central limit...