• Applied Math Seminar: Juergen Kritschgau (Carnegie Mellon)

    Shanahan 2407 at Harvey Mudd College Claremont, CA, United States

    Title: Using Mutual Information of Hypergraph Compressions for Clustering Abstract: Hypergraphs are often used to represent higher order observed relationships between subjects of study. In particular, the vertices of a hypergraph could represent the basic elements of study, and edges represent observed relationships between the vertices. Implicitly, the assumption is that observed edges are more […]

  • Applied Math Seminar: Junshan Lin (Auburn)

    Shanahan 2407 at Harvey Mudd College Claremont, CA, United States

    Title: Scattering Resonances Through Subwavelength Holes and Their Applications in Imaging and Sensing Abstract: The so-called extraordinary optical transmission (EOT) through metallic nanoholes has triggered extensive research in modern plasmonics and their applications in bio-sensing, imaging, etc. This talk aims to provide quantitative mathematical theories to understand a variety of resonances that induce the EOT […]

  • Applied Math Seminar: Jahrul Alum (Memorial University of Newfoundland)

    Shanahan 2407 at Harvey Mudd College Claremont, CA, United States

    Title: Data-driven large eddy simulation of atmospheric turbulence Abstract: Over the last few years, machine learning has been critical in science and engineering and emerged as a data-driven turbulence model. However, machine learning depends on training data from previous experiments on turbulent flows. Typically, training data capture only a fraction of the active scales of […]

  • Applied Math Seminar: Angel Chavez (Pomona)

    Shanahan 2407 at Harvey Mudd College Claremont, CA, United States

    Title: Randomized Sums of Graph Spectra Abstract: The adjacency matrix of an Erdős-Rényi-Gilbert graph is a random symmetric matrix whose entries are Bernoulli random variables. These entries, modulo the constraints imposed by symmetry, are independent. We aim to understand the asymptotic behavior of randomized sums of the spectra and singular spectra of these matrices. In […]

  • Applied Math Seminar: Anna Nelson (Duke)

    Shanahan 2407 at Harvey Mudd College Claremont, CA, United States

    Title: Mathematical modeling of polymerization processes in physiology Abstract: Polymerization, or aggregation, is essential for many physiological systems. For example, the emergence of a fibrin polymer mesh during the formation of a blood clot is required for a stable clot and long-term, sustained intracellular transport in neurons rely on persistent yet dynamic polymers that comprise the […]

  • Applied Math Seminar: Susan Friedlander (USC)

    Shanahan 2407 at Harvey Mudd College Claremont, CA, United States

    Title: Kolmogorov, Onsager and a Dyadic Model for Turbulence Abstract: We will briefly review Kolmogorov’s ( 41) theory of homogeneous turbulence and Onsager’s ( 49 ) conjecture that in 3-dimensional […]

  • Applied Math Seminar: Adam Waterbury (UCSB)

    Shanahan 2407 at Harvey Mudd College Claremont, CA, United States

    Title: Approximating Quasi-Stationary Distributions with Interacting Reinforced Markov Chains Abstract: An important question in ecology is what conditions must be met for a population of interacting species to coexist. In […]

  • Applied Math Seminar: Harlin Lee (UCLA)

    Shanahan 2407 at Harvey Mudd College Claremont, CA, United States

    Title: Understanding scientific fields with network analysis and topic modeling Abstract: As scientific disciplines get larger, it becomes impossible for an individual researcher to be familiar with the entire body of […]

  • Applied Math Seminar: Chiu-Yen Kao (CMC)

    Shanahan 2407 at Harvey Mudd College Claremont, CA, United States

    Title: Computational Approaches to Optimization Problems in Inhomogeneous Rods and Plates Abstract: In this talk, we will show the experiments of the vibration of plates to generate Chladni's figures and discuss computational approaches to optimization problems of inhomogeneous rods and plates. We consider both optimization of eigenvalues and localization of eigenfunctions. These problems are motivated by physical problems […]