
Date Time 
Location  Speaker 
Title – click for abstract 

10/11 4:00pm 
Bloc 220 
Isaac Harris TAMU 
Inverse scattering for materials with a conductive boundary
In this talk, we will consider the inverse scattering problem for a material with a conductive boundary. We will see that the shape of the object can be uniquely determined by the scattering data. Next, we turn our attention to the associated transmission eigenvalue problem. The transmission eigenvalue problem corresponds to a differential operator that contains the material parameters and therefore hold information about the coefficients. 

10/25 4:00pm 
Bloc 220 
Dean Baskin TAMU 
Radiation fields for wave equations
Radiation fields are rescaled limits of solutions of wave equations near "null infinity" and capture the radiation pattern seen by a distant observer. They are intimately connected with the Fourier and Radon transforms and with scattering theory. In this talk, I will define and discuss radiation fields in a variety of contexts, starting with the familiar one dimensional wave equation and moving to the semilinear wave equation in three dimensions, the linear wave equation on the exterior of a nonrotating black hole, and then on a class of timedependent spacetimes. Although the object of study is the same in each case, the methods used are quite different in the timeindependent and timedependent settings. 

11/01 4:00pm 
Bloc 220 
Robin TuckerDrob TAMU 
Treeability and planarity in measured group theory
A group G is called strongly treeable if the orbit equivalence relation associated to any free probability measure preserving action of G can be measurably structured by trees. I will discuss joint work with Clinton Conley, Damien Gaboriau, and Andrew Marks in which we show that all groups with planar Cayley graphs are strongly treeable. This provides the first examples of groups with one end which are strongly treeable.


11/08 4:00pm 
Bloc 220 
Cecilia Mondaini TAMU 
Analysis of a feedbackcontrol based data assimilation algorithm
Forecasts of the future state of a complex physical system (e.g., the atmosphere) that are purely generated from a theoretical model are commonly affected by the limitations of the model inadequately representing reality. Data assimilation is the technique that combines the theoretical model with information from physical observations in order to obtain a better prediction of the future state of the system. In this talk, I will show some analytical results concerning a certain data assimilation algorithm based on feedback control. This is based on joint works with A. Biswas, C. Foias and E. S. Titi. 

11/15 4:00pm 
Bloc 220 
Julia Plavnik Texas A&M University 
On the classification of modular tensor categories
The problem of classifying modular tensor categories is motivated by applications to topological quantum computation as algebraic models for topological phases of matter. These categories have also applications in different areas of mathematics like topological quantum field theory, von Neumann algebras, representation theory, and others.
In this talk, we will start by introducing some of the basic definitions and properties of fusion, braided, and modular tensor categories, and we will also give some concrete examples to have a better understanding of their structures.
The idea of the talk is to give an overview of the current situation of the classification program for modular categories. We will explain some of the techniques that we found useful to push further the classification, with a focus on new constructions of modular tensor categories. If time allows, we will mention some results for the supermodular case. 

11/21 4:00pm 
Bloc 220 
Pavlos Motakis Texas A&M University 
TBA 