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Wednesday, March 7, 2012 in 224 East Building, 1:10-2:30 pm (This is the next lecture in the new monthly series Soup and Science.)
Using Geometry To Classify Surfaces

Presented by Ara Basmajian, Professor of Mathematics, Hunter College and the Graduate Center of the City University of New York.
Abstract:
We will begin with the question: What properties do the surface of a basketball and the surface of a football share? In what sense are they the same? In what sense are they different? This discussion will lead naturally to the notion of a surface (a two dimensional space). Next, we introduce the three basic geometries (euclidean, spherical, hyperbolic) and their properties. Hyperbolic geometry, though the least known of the three, plays a prominent, fundamental role in our understanding of surfaces and the geometries they admit. In fact, we will see thet most surfaces admit a hyperbolic geometry. We will finish by mentioning some recent work on three dimensional spaces.


Wednesday, October 3, 2007 in 920 HE, 1:10-2:00 pm (Departmental Lecture Series)
A Buckling Problem for Graphene Sheets

Presented by Yevgeniy Milman, student in Hunter's BA/MA Program in Mathematics
Abstract:
The speaker develops a continuum model that describes the elastic bending of a graphene sheet interacting with a rigid substrate by van der Waals forces. Using this model, he studies a buckling problem for a graphene sheet perpendicular to a substrate. After identifying a trivial branch, he combines analysis and computation to determine the stability and bifurcations of solutions along this branch. Also presented are the results of atomistic simulations. The simulations agree qualitatively with the predictions of the continuum model but also suggest the importance, for some problems, of developing a continuum description of the van der Waals interaction that incorporates information on atomic positions. This research is based on Mr. Milman’s participation in the Research Experience for Undergraduates (REU) program at the University of Akron in Summer 2007.

Wednesday, October 10, 2007 in 920 HE, 1:10-2:00 pm (Departmental Lecture Series)
Meta-Modeling with Kriging in the Design of a Product with Multiple Outcomes
Presented by Terrence Murphy at School of Medicine,Yale University
Abstract:
Engineers designing complex products routinely consider a number of outcomes whose desired performance characteristics place contradictory demands on the explanatory variables. In early design stages meta-models, i.e., statistically based models constructed from deterministic data, are used to emulate more sophisticated and computationally intensive simulations that are very accurate. We compare the performance of meta-models based on simple linear regression, Kriging, and splines to the very accurate design solutions yielded by finite element analysis (FEA) in the modeling of multivariate mechanical engineering data in the design of an auto-chassis. We find in our example that the Kriging models most closely reproduce the “true” solution yielded by the FEA simulations in a full information scenario and in some less than full information scenarios based on subsets of principal components.

Thursday, November 8, 2007 in 611 HN, 3:00 – 4:00 pm (Sigma Xi)
3D Mathematica in the CUBE
Presented by Mimi Tsuruga, student in Hunter's BA/MA Program in Mathematics
Abstract:
Mathematica is a math application and a powerful visualization tool capable of generating and rendering 2D and 3D objects with minimal lines of code. The CUBE (a six-walled CAVE) is a 3D virtual environment at the Beckman Institute at the University of Illinois at Urbana-Champaign. szgMathematica is a project which interfaces the Mathematica Kernel with the CUBE Front End. The CUBE has been used in psychology for experiments in spatial perception, in biology for studying models of viruses and in medicine for 3D virtual surgery. In this project a user can send a Graphics3D object using simple Mathematica code, move the object with a wand, walk into the object or fly through it on a user-defined curve. This program is ideal for people who want a "true 3D" visual understanding of complicated 3D surfaces.

Wednesday, November 14, 2007 in 920 HE, 1:10-2:00 pm (Departmental Lecture Series)
Mathematica as a Powerful Authoring Tool for the Classroom

Presented by John Kiehl, Adjunct Lecturer at Hunter College
Abstract:
The newest release of the software package Mathematica trivializes the creation of animated and interactive charts, plots, and other graphics. The speaker will create stunning demonstrations within minutes that could be used in a lecture as self-discovery tools for students.

Wednesday, November 28, 2007 in 920 HE, 2:10-3:00 pm (Departmental Lecture Series)
Propagation of Ultra-short Optical Pulses in Nonlinear and Random Media

Presented by Tobias Schaefer at CUNY Graduate Center and College of Staten Island of CUNY
Abstract:

The basic model for pulse propagation in optical media is the cubic nonlinear Schroedinger equation (NLSE). In the regime of ultra-short pulses, however, the basic assumption made in the derivation of the NLSE from Maxwell’s equations as a slowly varying amplitude approximation is not valid anymore. The speaker will give first a sketch of the derivation of the NLSE from Maxwell’s equations and then discuss applications of the basic model in the context of fiber optics. Then he will present a different approximation, the short-pulse equation and discuss its validity as well as its mathematical properties.

Thursday, December 6, 2007 in 1203 HE, 1:00-2:00 pm (Co-sponsored by the Hunter College Chapter of Sigma Xi and the Thomas Hunter Honors Program)
Ben Shahn's Art and Mid-twentieth Century Science
Presented by Ezra Shahn, Professor of Biological Sciences at Hunter College
Abstract:
Four years ago, Professor Shahn embarked on a study of the ways in which episodes in the history of science were reflected in contemporaneous works of art. Among recent artists, several studies had already noted that images of science played a significant role in a number of Ben Shahn’s works. As these were examined, it became clear that they were not random or artificial, but were actually based on advances in science that had been made only scant years before the art was created. In fact, these individual images had identifiable “sources” in the scientific literature, and, surprisingly, they also jointly represented an illustrated history of the development of the science of structural molecular biology that took place in the middle third of the last century.

Wednesday, April 9, 2008 in 920 HE, 1:10-2:00 pm (Departmental Lecture Series)
One-sided Quantum Groups and the Boson-fermion Correspondence
Presented by Earl Taft, Professor of Mathematics at Rutgers University
Abstract:
The lecturer will review the quantum groups, which are noncommutative Hopf algebra deformations of the rational functions on the general and special linear groups. Then he will indicate some recent one-sided versions of these constructed by A. Lauve, S. Rodriguez and himself. This in turn is related to a recent quantization of the boson-fermion correspondence of classical physics.

Wednesday, April 30, 2008 in 920 HE, 1:10-2:00 pm (Departmental Lecture Series)
Order or Chaos? Understanding Careers in Different Labor Markets via Clusters for Nominal Longitudinal Data

Presented by Marc A. Scott, Visiting Associate Professor at Hunter College and Associate Professor at Department of Humanities and Social Sciences, School of Education, New York University
Abstract:
The speaker customizes techniques used in biological sequence analysis to generate homogeneous clusters for nominal longitudinal data in which the number of states is large. The outcomes are career trajectories through a space of “job types,” stratified by long-term economic mobility. He then uses information-theoretic measures to quantify the degree of order or chaos present in these trajectories over time. The clusters and information-theoretic techniques help refine our understanding of certain “stylized facts” about careers with different levels of mobility.



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Hunter College
Department of Mathematics and Statistics
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Phone: 212-772-5300
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