|
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Time & location: All talks are in Gibson 325 at 3:00 P.M. unless otherwise noted.
Organizer: Xuefeng Wang
| Speaker | Mac Hyman, Tulane University |
| Description | "Understanding the Novel H1N1 (Swine) Flu Pandemic: Where the virus came from and how it will impact the world" We are in the mist of the 2009 World Influenza Pandemic. The novel H1N1 swine flu virus has quickly spread around the world to become the first major epidemic of the 21st century. This talk will begin with an overview for non-experts on what makes this virus different from the seasonal flu, how it originated, and the expected impact of the epidemic. I will discuss the current status of the world, national, and Louisiana epidemic, the status of vaccine development, how effective we expect the vaccines to be, and what individuals can do to protect themselves from infection.
Science based simulations of virtual worlds are being used to understand where the virus came from, predict the course of the pandemic, and estimate how the epidemic could change daily lives. Applied mathematicians are fully engaged with the public health community to help control the current H1N1 swine epidemic. Mathematical models on the world's largest computers are helping us to understand and predict the spread of the disease. I will present insights these models have given us that can help guide the public health community in fighting this pandemic.
This overview lecture will make the underlying issues of the swine flu epidemic accessible to a general audience. It will then describe how these issues are being addressed through collaborative efforts of public health, medical, social, and mathematical scientists to slow the epidemic. The lecture will only lightly touch on the underlying mathematical theory. |
| Location | Gibson Hall 325 |
| Time | 3:00pm |
| Speaker | Alex Kurganov , Tulane University |
| Description | "Chemotaxis: modeling, analysis and numerics" I will first briefly discuss some mathematical aspects of PDE-based models of chemotaxis (active orientation of cells and organisms along chemical gradients)
and will present a classical Patlak-Keller-Segel (PKS) system. Solutions of the
PKS system typically develop a spiky structure, which models the concentration
phenomenon, and may blow up in finite time. Capturing such solutions numerically
is a challenging task and I will show how to derive highly accurate and robust
numerical methods for the PKS and related chemotaxis systems. |
| Location | Gibson Hall 325 |
| Time | 3:00pm |
| Speaker | Xiu Ye , University of Arkansas at Little Rock |
| Description | "A Posterior error estimate for finite element methods for the Stokes Equations" We establish a posterior error analysis of finite element methods for the Stokes equations. This residual estimator can be applied to almost all the existing finite element methods for solving the Stokes equations including conforming, nonconforming and discontinuous finite elements. |
| Location | Gibson Hall 325 |
| Time | 3:00pm |
| Fall Break |
| Speaker | TBA, TBA |
| Description | "TBA" |
| Location | Gibson Hall 325 |
| Time | 3:00pm |
| Speaker | Bree Cummins, Tulane University |
| Description | "Determining the biomechanical response of a filiform hair array: A low Reynolds number fluid-structure model" The cercal system of the cricket has served as a model sensory system over the last 30 years and has been the subject of many anatomical, developmental, functional, and theoretical studies during that time. This system is composed of two antenna-like appendages covered with hundreds of filiform mechanosensory hairs, and encodes information about the direction and dynamics of low-velocity air currents. Many previous studies have characterized the biomechanics of individual filiform hairs, but only a few have considered the fluid-mediated interaction of closely-packed hairs. These few studies suffer from one of two disadvantages: either the modeled hair arrangements are limited in extent or configuration, or the computational cost is prohibitive. I present a fast and scalable numerical model of filiform hair motion that can simulate the motion of arbitrary hair arrangements on the cricket cercus. Using this model, I perform numerical simulations that demonstrate the possibility for both damping and synergistic coupling within biologically realistic groupings of filiform hairs. |
| Location | Gibson Hall 325 |
| Time | 3:00pm |
| Speaker | Jian-Guo Liu, Duke University |
| Description | "Modeling and analysis of collective behavior of self-propelled agents" Collective behaviors of self-propelled agents (representing birds, fishes, cars, etc) such as flocking, swarming, trail formulation, attract much of recent research activities in applied mathematics. In this talk, I will discuss some of the recent developments in modeling and analysis of these emergence behaviors. In particular, I will present some analysis of flocking estimates for Cucker-Smale modes and Vicsek modes for birds and fish. I will also discuss the connection and passage among particle models, kinetic models, and continuum models of these self-propelled agents. |
| Location | Gibson Hall 325 |
| Time | 3:00pm |
| Speaker | TBA, TBA |
| Description | "TBA" |
| Location | Gibson Hall 325 |
| Time | 3:00pm |
| Speaker | TBA, TBA |
| Description | "TBA" |
| Location | Gibson Hall 325 |
| Time | 3:00pm |
| Thanksgiving Holiday |
| Student Project Presentations | |
| Location | Gibson Hall 325 |
| Time | 3:00pm |
![]()
| Mathematics
Department Tulane University 6823 St. Charles Ave New Orleans, LA 70118 phone: (504) 865-5727 fax: (504) 865-5063 |
Last Updated:
November 2, 2009
|
|