Fridays in Skye 284

Social Time: 12.301p

Talk: 11.50p
Chimeric Antigen Receptor (CAR) Tcell based immunotherapy has been considered one of the most successful adoptive cellbased immunotherapy in cancer treatment and has been FDAapproved since 2017. While CAR Tcell therapy has shown its efficacy in leukemia, for solid tumors, the treatment still has a few challenges including (1) trafficking CAR Tcells into solid tumors, (2) a hostile tumor microenvironment that suppresses Tcell activity, and (3) tumor antigen heterogeneity. In my presentation, we mainly investigated the antigen heterogeneity of highgrade glioma and explored the response spatially by agentbased model and PDE model. We used the data provided by the City of Hope to simulate our model through PhysiCell and were able to guide the treatment schedule, location of injection, dosages, and frequencies.
TBA
TBA
Chimeric Antigen Receptor (CAR) Tcell based immunotherapy has been considered one of the most successful adoptive cellbased immunotherapy in cancer treatment and has been FDAapproved since 2017. While CAR Tcell therapy has shown its efficacy in leukemia, for solid tumors, the treatment still has a few challenges including (1) trafficking CAR Tcells into solid tumors, (2) a hostile tumor microenvironment that suppresses Tcell activity, and (3) tumor antigen heterogeneity. In my presentation, we mainly investigated the antigen heterogeneity of highgrade glioma and explored the response spatially by agentbased model and PDE model. We used the data provided by the City of Hope to simulate our model through PhysiCell and were able to guide the treatment schedule, location of injection, dosages, and frequencies.
Symplectic Hodge Theory was introduced in the late 1980s to provide tools to understand when symplectic structures on smooth manifolds could be made into fully Kähler structures. Much work has gone into generalizing the theory since then to more geometric settings. In this talk we’ll discuss recent work extending this to Lie Algebroids, and the necessary algebraic framework to make such an extension possible. This is in preparation for my Oral Qualifying exam, questions are encouraged!!
Existing results regarding composition of open systems in classical mechanics are limited by the sequential nature of span composition to composition along simple open chains, and do not specify configuration spaces of interactions. A category of rigid inclusions of cospan diagrams allows for direct interactions between actors to be introduced into an open system oneatatime, where basins of cospans form constraint spaces for interactions. When a category has Fpullbacks for a conetight functor F, limits of certain cospan diagrams where constraints may be constructed and are unique up to isomorphism. We use these results to specify the kinematics of interactions that impose geometric constraints between actors and compose kinematic chains involving feedback. This talk is in preparation for my oral qualifying exam, so I appreciate you asking questions! Simultaneously, it will be a board talk, so apologies if I struggle to deliver it succinctly.
In this talk I am going to present the basics and development of fractal geometry. I will introduce the definitions of both ordinary fractal strings and generalized fractal strings. I am also going to present the explicit formula for generalized fractal strings as well as the Taylor series expansion that represents it. We can recover a fractal via the explicit formula if we know its complex dimensions and given that our string is languid. In order to represent the explicit formula as a fractional Taylor series, I used the Schwartz definition of fractional derivative of distributions. I will present an example of a fractal, called the Cantor fractal, for which we can extract the fractal for its known complex dimensions via the explicit formula since the Cantor fractal is languid. In the next part of the talk, I am going to present a new topic called fractal cohomology. This is particularly important for realizing the Weierstrass curve as a twodimensional fractal. I am going to introduce the iterative function system that generates this curve as well as the fractal power series that represents it. The fractal power series has its roots in fractal cohomology and is generated through the iterated function system. I will present on this as well.
The question of whether a manifold can be isometrically embedded into some Euclidean space is a longstanding problem in differential geometry. In this talk, we will look at some background and context on isometric embeddings, and then we will study isometrically embedded surfaces of revolution with different prescribed extrinsic/intrinsic curvatures. In particular, we prescribe the induced metric, the mean curvature with conformal metric, the second fundamental form, and the conjugate momentum, in order to study the resulting nonlinear ODE's.
Teichmuller theory began as the classification of complex structures on a Riemann surface. The space of all such structures is homeomorphic to $\mathbb{R}^{6g6}$ and it became known as Teichmuller space. From another point of view, it is the moduli space of all surface group representations that are discrete and faithful into the Lie group $PSL(2, \mathbb{R})$. Higher Teichmuller theory searches for generalizations into higher rank Lie groups and one of its aims is to identify connected components of the moduli space consisting solely of such ‘nice’ representations. Many tools are used in this study, and this talk will highlight the role played by the theory of Higgs bundles in higher Teichmuller theory.
In a friendly expository manner, we'll elaborate on some basic techniques useful for solving PDEs. The Surface Quasigeostrophic equation (SQG) occurs naturally as a model for surface ocean currents and mathematically constitutes the 2D equivalent of the Navier Stokes Equations, featuring many of the same types of singularities. In this talk, we'll discuss ideas from harmonic and fourier analysis that will be useful to prove the wellposedness and smoothness of solutions to the equation with initial data valued in L^\infty(\mathbb{R}^2). These results follow from my most recent research in trying to prove the wellposedness of SQG with initial data valued in uniformly local L^p spaces.
The space of all Riemannian metrics on a given manifold is an infinite dimensional Frechet manifold. This enormous space is, in fact, convex and so not topologically interesting. But things might become much more complicated when we put a geometric condition on our metric. As an example, the space of positive scalar curvature metrics on the 7sphere has infinitely many distinct pathcomponents. The main tool for studying the topology of the space of positive scalar curvature metrics is the surgery theorem. This theorem was proved by Gromov and Lawson and, independently, by Schoen and Yau. In this talk, we will have a look at surgery on manifolds and we will see that the surgery theorem and prime decomposition theorem give a classification of positive scalar curvature 3manifolds .
This talk will go through some basic definitions of extensions, group actions, and cohomology. We will eventually classify abelian extensions by their second cohomology. This is something I recently read through for my research, since the proof is not complicated, I will try to make this talk more approachable for people that are new to the topic. Hopefully this process helps me to organize my learning results and helps others to learn a bit more about these topics.
The overlooked younger sibling of Lookandsay sequences, thinkandsay sequences are "digitally descriptive iterations" of numbers (and numberish things) which usually result in selfdescribing numbers like 21322314 (which has two 1's, three 2's, two 3's, and one 4). We cover silly results and open problems from the past 30 years like: the limited loop length lemma, transfinite trimming tricks, multiset multiplicity maps, preperiod predictions, growth spurt exceptions, and peapattern prime pickings.
The underlying idea behind homology is that you can count the 'holes' in a space. There is an interesting connection between the first homology group of a surface and the fundamental group. From this relation, it is possible to classify Gcovering spaces of a surface using the first cohomology group with coefficients in G. In this talk we will outline the ideas behind this connection and spend some time working through examples.
In preparation for the speaker's oral exam, we'll have a look at Besov spaces, various embeddings, stochastic integration on Besov spaces and a formulation of the stochastic heat equation in the rough path setting. Inspired by very recent work by Peter Friz, Benjamin Seeger, and Pavel Zorin Kranich, this work spans many topics in analysis and PDE theory. This line of research is novel for (among other reasons) its application of Besovvalued rough differential equations to SPDE theory and the reframing of stochastic integration in terms of the language of increments
Magnetohydrodynamics (MHD) is the study of electrically conducting fluids with many applications in geophysics, astrophysics, and engineering processes. In this talk, we will derive the main governing equations of MHD. We will also talk about Alfvén waves, turbulence, and Landau damping (as time permits).
While most mathematicians only encounter the representation theory of finite groups and, in the realm of research, delve into representations of Lie algebras, the representation theory of monoids is a lessdiscussed but richly developed area with nearly a century of theory behind it. In this talk, we'll navigate this lesserexplored terrain, exploring monoid representations through the lens of cell theory. Time permitting, we'll also touch upon their generalization to algebras and their categorification.
Being the oldest games still being played, Go has a lot of theory behind it. While studying the endgame theory of Go, John Conway got inspired and develop the idea of the surreal numbers. In this talk I'll give you some of the intuition behind them and the more general concept of "game". Finally, we will look at some scenarios and be able to compute the result.
In this talk, I will start with a brief introduction to the geometric ideas needed to understand connections, and then attempt to give an intuitive understanding of what connections are, why they are useful and how they work.
Span categories are used to give an abstract compositional model for certain types of systems. The category of smooth manifolds, a starting point for a compositional model for classical mechanical systems, does not have all finite pullbacks. Prior work by Weisbart and Yassine identifies two necessary conditions for constructing span categories to circumvent this obstacle: Fpullbacks, and span tightness, but these conditions are insufficient to generalizing to higher categories. We introduce a new condition, tentatively named cospan tightness, to construct span 2categories from categories without pullbacks, and investigate examples of Fpullbacks, span tightness, and cospan tightness. Warning: This talk's gonna just be category theory BS. I hope for it to be interesting category theory BS.
In this talk I will present my current published work on diffusion in two or more $p$adic dimensions. Time permitting I will sketch future research directions.
Finding a minimizer of a least gradient problem is often a difficult task. In the particular problem from my current research, with the proper assumptions, we may use FenchelRockafellar to consider the dual problem and an Alternating Split Bregman Algorithm which converges to weak solutions of the dual problem and the original (primal) problem. In this talk, we will derive the algorithm and discuss its convergence.
Developmental biologists study processes such as pattern formation, morphogenesis, and cellular signaling in an attempt to unravel the complexities of how organisms develop. Providing insights into the fundamental biology of life often requires joint work by both theoretical and experimental biologists. In this talk I will be discussing our contributions to understanding these processes in two different systems: pavement cells in plant leaves and the Drosophila (fruit fly) wing disc.
There is a class of group actions on symplectic manifolds that preserve the symplectic form. In this talk, we will give an introduction to symplectic manifolds and the interesting features of symplectic group actions, highlighting examples that motivated the study of symplectic manifolds in general.
In recent years, tensor decomposition has become a crucial tool in the areas of machine learning, signal processing, and statistics. In this talk, we will discuss the basics of tensor decomposition methods, namely the canonical polyadic decomposition (CPD/PARAFAC/CANDECOMP) and the higherorder singular value decomposition (HOSVD). We will also discuss some recent applications.
In an increasingly interconnected world, efficient data transmission and network performance are paramount. In this introductory talk, we will unravel the complexities and common challenges of queuing theory—a powerful tool for comprehending and optimizing network performance. Queuing theory plays a vital role in data traffic management, delay reduction, and overall network efficiency enhancement. We will explore standard examples like Deficit Round Robin (DRR) and StartTime Fair Queuing (STFQ) as classic algorithms that serve as our stepping stones into the world of network queues. If time permits, I'll also share insights and applications from my summer internship.
Come drop by to see various math grads give short introductory talks about the math they do here at UCR! We especially encourace newer grad students to attend and meet our department.
The UC Riverside Math Graduate Student Seminar (GSS) is brought to you by the UCR student chapter of the American Mathematics Society. GSS is organized by the officers of the chapter.
Will Hoffer, President
Chris Grossack, Vice President
Jialin, Jennifer Wang, Secretary
Rahul Rajkumar, Treasurer