UNM

The University of New Mexico
invites you to SUnMaRC!

Southwestern Undergraduate Mathematics Research Conference - March 1 2013 - March 3, 2013
 

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Invited Speakers

Mark Boslough, Sandia National Laboratories

Mark Boslough is a member of the technical staff at Sandia National Laboratories, an adjunct professor at University of New Mexico, and a Fellow of the Committee for Skeptical Inquiry. He obtained his PhD from the California Institute of Technology, in the area of geophysics. An expert on planetary impacts and global catastrophes, Mark’s work on airbursts challenged the conventional view of asteroid collision risk and is now widely accepted by the scientific community. He has made frequent appearances on television science documentaries, including the award winning programs “Tutunkhamun's Fireball” (BBC) (recipient of Discover Magazine's Top 100 Science Stories of 2006) and “Last Extinction“ (Nova) (recipient of AAAS Kavli award for best science documentary of 2009). Most of the documentaries are focused on his impact and airburst modeling. Mark has an asteroid named after him (!), Asteroid 73520 Boslough (2003 MB1) and an entry in Wikipedia, where you can find out more about him before our conference.

Title: Global Catastrophes in Perspective: Asteroid Impacts vs. Climate Change
When: Friday 7:15pm

Abstract: TBA


Kristin Umland, Department of Mathematics and Statistics, University of New Mexico

Kristin Umland is a professor of mathematics at the University of New Mexico. She obtained her PhD from the University of Illinois, Chicago, in the area of algebraic topology. She has since then spent much of her energy on working to improve the mathematical preparation of preservice elementary and secondary teachers and has worked extensively in teacher professional development. She has worked at the local, state, and national levels on a broad range of related projects including teacher preparation program development, reviews of state K–12 mathematics standards and assessment, and participation in and organization of workshops and committees intended to clarify the important mathematics that students and teachers need to know. She has worked on a number of research projects related to assessing the quality of mathematics instruction in both K–12 classrooms and elementary and secondary teacher professional development workshops. Kristin is co-chair of Illustrative Mathematics, a community of teachers, mathematicians, and mathematics educators working to illustrate the Common Core State Standards in Mathematics, and is currently working with the American Institute of Mathematics to look at the impact of Math Teacher Circles on middle school teachers’ mathematical knowledge and practice.

Title: Mathematicians and Mathematics Education
When: Saturday 10:30am

Abstract: You love mathematics and want to share that enthusiasm with others. You know that lots of kids DON'T love math when they are in school. You sometimes wonder how you might help make things a little better. But how? In this talk I'll describe some ways in which mathematicians can work in small or large ways to improve the mathematical experiences of K-12 students that can be both fun and rewarding.


Robert Krasny, Department of Mathematics, University of Michigan

Robert Krasny is the Arthur F Thurnau Professor of Mathematics at the University of Michigan. He obtained his PhD from the University of California, Berkeley, after which he held a postdoctoral position at the Courant Institute at New York University before moving to UM. Robert's research is in scientific computing with applications to fluid dynamics, electrostatics and molecular dynamics. His work has yielded much insight into vortex dynamics and increased fundamental understanding of regular and chaotic phenomena in fluid flows. His recent work focuses on developing fast numerical algorithms for particle methods that reduce the expense of computing long-range interaction electrostatic potentials and molecular forces. Robert is a Fellow of the Americal Physical Society, a prestigious honor awarded in recognition for his many contributions to the field.

Title: Scientific Computing
When: Saturday 2:00pm

Abstract: Scientific computing is a form of research involving computer simulations. All areas of science and engineering make heavy use of this approach. In many cases the goal is to simulate a process that is too difficult to study by traditional theory and experiment. Examples include numerical weather forecasting, airplane design, and predicting the spread of a disease. A project in scientific computing requires (1) a mathematical model or set of equations describing the problem to be investigated, (2) an algorithm for solving the equations, and (3) a computer program to implement the algorithm. Each step requires ingenuity and perseverance in order for the project to succeed. This type of work is highly interdisciplinary, and it is carried out in academia, industry, and national laboratories. There is a great need to improve the accuracy and efficiency of scientific computations, and mathematics has an essential role to play in that effort. This talk will discuss some examples of scientific computing in fluid dynamics and molecular dynamics.


Cristina Pereyra, Department of Mathematics and Statistics, University of New Mexico

Cristina Pereyra is a professor of mathematics at the University of New Mexico. She obtained her PhD from Yale University in the area of harmonic analysis, after which she held a postdoctoral position at Princeton University before coming to UNM. She has travelled widely to give invited talks and series of lectures in the US, Mexico, Argentina, Spain, Australia and Scottland. She has contributed chapters in edited volumes and coauthored two books: ``Wavelets, their friends, and what they can do for you" (with Martin Mohlenkamp), and ``Harmonic Analysis: from Fourier to Wavelets" (with Leslie Ward). She is a beloved instructor here at UNM and has won Outstanding Graduate Professor and Outstanding Graduate Chair awards.

Title: Averaging and analysis
When: Sunday 10:30am

Abstract: Averages are everywhere, they help us understand all sort of data. There are several possible meaningful averages, we will review some of these and how they compare to each other, first for finite sets of numbers then for functions. In doing so we will revisit some important and useful inequalities. Averaging or smoothing is at the heart of harmonic analysis, I will try to briefly describe a few classical and not so classical instances of this connection.