Distances such as the Gromov-Hausdorff distance and its Optimal Transport variants are nowadays routinely invoked in applications related to data classification. Interestingly, the precise value of these distances on pairs of canonical shapes is known only in very limited cases. In this talk, I will describe lower bounds for the Gromov-Hausdorff distance between spheres (endowed with their geodesic distances) which we prove to be tight in some cases via the construction of optimal correspondences. These lower bounds arise from a certain version of the Borsuk-Ulam theorem for discontinuous functions.

2-linear varieties are a rich topic. Sijong Kwak initiated the study of 3-regular varieties. In this talk I report on joined work Haoang Le Truong on the classification of smooth 3-regular varieties of small codimension 3. Some of these varieties are analogously to the 2-regular case determinantal. This first non-determinantal cases occurs in codimension 3. In this talk I report on the classification of varieties with Betti table $$ \begin{matrix} & 0 & 1 & 2 & 3\\ \hline 0: & 1 & . & . & .\\ 1: & . & . & . & .\\ 2: & . & 10 & 15 & 6 \end{matrix} $$ Our approach consist of studying extension starting from curves. Let $X \subset \mathbb P^n$ be a variety. An e-extension $Y \subset \mathbb P^{n+e}$ of $X$ is a variety, which is not a cone, such that there exists a regular sequence $y_1,\ldots,y_e$ of linear forms for the homogeneous coordinate ring $S_Y$ of $Y$ such that $S_Y/(y_1,\ldots,y_e) = S_X$ is the coordinate ring of $X$. Using a computationally easy deformation theoretic method to compute extensions, we classify the extensions of 3-regular curves in $\mathbb P^4$ to surfaces in $\mathhbb P^5$ completely.

In this talk, I will take you on a journey from mathematical concepts to their applications in brain and cognitive sciences. We will explore how differential equations and nonlinear dynamical systems can be employed to model complex biological systems, including the brain. I will also discuss how these models help in understanding higher-level processes such as sleep and circadian rhythms, offering a deeper glimpse into how the brain operates as a complex, dynamic system. Additionally, I will share my personal journey from my student days to my current role as a professor in brain and cognitive sciences, illustrating how my research path has evolved over time.

First, we briefly introduce arithmetic statistics. After that we give some AS problems related to L-functions such as class numbers and analytic rank of elliptic curves.

There have been at least two surprising events to geometers in 80-90s that they had to admit physics really helps to solve classical problems in geometry. Donaldson proved the existence of exotic 4-dimensional Euclidean space using gauge theory and Givental counts rational curves in quintic threefolds using Feynman diagram in string theory. These events hugely popularised new mathematical topics such as mirror symmetry and enumerative geometry via moduli spaces. In this talk, we present what happened in this field in a past few decades and something happening right now.