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Shilpa Khatri; Health Sciences Research Institute; University of California, MercedNumerical methods for fluid-structure interactions and multiphase flow within marine phenomena To understand the fluid dynamics of marine phenomena, for

Olaniyi Iyiola, Department of Mathematics and Physical Sciences, California University of PennsylvaniaEfficient Methods for Solving Diffusion-Reaction Systems of Fractional Order Type Nonlocality and spatial heterogeneity of many

Eduardo Corona, Assistant Professor of Mathematics, New York Institute of TechnologyFast computational frameworks for particulate media simulationGranular media and “wet” particle suspensions are two important models of soft matter. They

Yunan Yang; Courant Instructor; Courant Institute of Mathematical Sciences, New York UniversityOptimal Transport for Inverse Problems and the Implicit Regularization Optimal transport has been one interesting topic of

The Postdoctoral Association of Colorado, �鶹ӰԺ has organized this series of monthly tutorials/workshops on topics that may be useful to postdocs, students, and faculties across different disciplines.Everyone is invited to attend! If you

Engineers, like everyone, are influenced by media messages every day. Don’t miss this opportunity to interact with TED speaker, renowned media scholar and CU �鶹ӰԺ alumnus, Chris Bell, PhD and consider how media impacts your personal and

The Postdoctoral Association of Colorado, �鶹ӰԺ has organized this series of monthly tutorials/workshops on topics that may be useful to postdocs, students, and faculties across different disciplines. Everyone is invited to attend! If you'd like

Brett WernerDepartment of Mathematics, �鶹ӰԺOn Machine LearningMachine learning (ML) is the process of making computers learn without specifically programming them to do so. ML has a variety of applications including

Osita OnyejekweDepartment of Mathematics, �鶹ӰԺFeature Detection in Observed Climate FactorsThe detection of inflection points is an important task in science and engineering. This task is onerous with subjective results.

Title: Flying snakes, attracting manifolds, and the trajectory divergence rateAbstract: Inspired by the gliding behavior of the paradise tree snake, Chrysopelea paradisi, I will discuss a simplified model for passive aerodynamic flight