Â鶹ӰԺ

Owen Miller, Department of Applied Physics, Yale UniversityUpper bounds to electromagnetic response via convexity, causality, and dualityNanophotonics, the study of light interacting with materials patterned at the scale of the wavelength, is

Laura Miller, Department of Biology, University of North Carolina - Chapel HillFlow through the hairy appendages of small animals: The leaky rake to solid plate transition.Numerous small organisms that swim, fly, smell, or feed in flows at the

Bengt Fornberg, Department of Applied Mathematics, Â鶹ӰԺEuler-Maclaurin without analytic derivativesWe consider here the Euler-Maclaurin (EM) formulas in the context of approximating infinite sums. If the function to be

Katie Oliveras, Department of Mathematics, Seattle UniversityMeasuring Water Waves: Using Pressure to Reconstruct Wave ProfilesEuler's equations describe water-waves on the surface of an ideal fluid. In this talk, I will discuss an inverse problem

Jeremy Hoskins, Department of Mathematics, Yale UniversityElliptic PDEs on regions with cornersMany of the boundary value problems frequently encountered in the simulation of physical problems (electrostatics, wave propagation, fluid dynamics in

Dan Larremore, Department of Computer Science, Â鶹ӰԺComplex Networks, Math, and Malaria: From Evolution to EpidemiologyProgress in the global battle for malaria elimination has flatlined since 2015, with the single-cell

Leonid Berlyand, Department of Mathematics, Penn State UniversityPDE models of Active MatterIn this talk we attempt to demonstrate how mathematical analysis could be helpful in the study of active matter, with the focus on active gels and cell

Thomas Hagstrom, Department of Mathematics, Southern Methodist University Title and Abstract Pending https://calendar.colorado.edu/event/applied_math_colloquium_-_thomas_hagstrom

Nathan Urban, Department of Neurobiology, University of Pittsburgh Title and Abstract Pending https://calendar.colorado.edu/event/applied_math_colloquium_-_nathan_urban_3165

Katherine Morrison, School of Mathematical Sciences, University of Northern Colorado Predicting neural network dynamics from graph structure Neural networks often exhibit complex patterns of activity that are shaped by the intrinsic structure of the