Institute for Mathematics and its Applications University of Minnesota 114 Lind Hall 207 Church Street SE Minneapolis, MN 55455 
20082009 Program
See http://www.ima.umn.edu/20082009 for a full description of the 20082009 program on Mathematics and Chemistry.
10:45am11:15am  Coffee break  Lind Hall 400  
11:15am12:15pm  Stochastic "interacting particle systems" models for reactiondiffusion systems: Nonlinear kinetics, steadystate bifurcations (phase transitions), reaction fronts  James W. Evans (Iowa State University)  Lind Hall 409  SMC 
10:45am11:15am  Coffee break  Lind Hall 400  
1:00pm2:00pm  Reading group for Professor Ridgway Scott's book "Digital Biology"  L. Ridgway Scott (University of Chicago)  Lind Hall 401  
4:00pm5:00pm  To Fund or not to fund: Finding funding opportunities and the challenges of writing a competitive grant proposal  Mary Ann Horn (National Science Foundation)  Lind Hall 305  PS 
6:00pm9:00pm  Dinner Ice breaker – Networking in the Academics, Government and Industry  Shari Moskow (Drexel University) Chehrzad Shakiban (University of Minnesota)  Lind Hall 400  SW4.24.09 
All Day  Session Chairs:
9:00am10:30am Shari Moskow (Drexel University) 11:00am1:30pm Stacey Beggs (Institute for Pure and Applied Mathematics (IPAM)) 1:30pm2:45pm Karen Raquel RiosSoto (University of Puerto Rico) 3:15pm4:20pm Tamara G. Kolda (Sandia National Laboratories)  SW4.24.09  
8:15am8:45am  Registration and coffee  EE/CS 3176  SW4.24.09  
8:45am9:00am  Welcome and introduction  Fadil Santosa (University of Minnesota)  EE/CS 3180  SW4.24.09 
9:00am9:30am  Careers in quantitative equity investments  Pam Gao (Putman Investments)  EE/CS 3180  SW4.24.09 
9:30am10:00am  Planning ahead  Rachelle C. DeCoste (Wheaton College)  EE/CS 3180  SW4.24.09 
10:00am10:30am  Math at IBM  Brenda L. Dietrich (IBM)  EE/CS 3180  SW4.24.09 
10:30am11:00am  Coffee  EE/CS 3176  SW4.24.09  
11:00am12:00pm  (Topic: How to write a grant)  Isabel K. Darcy (University of Iowa) Mary Ann Horn (National Science Foundation)  EE/CS 3180  SW4.24.09 
12:00pm1:30pm  Lunch (Discussion topic: Leadership skills and developing a technical research program  starting as a graduate student),  Leslie Hogben (Iowa State University) Karen Saxe (Macalester College)  EE/CS 3180  SW4.24.09 
1:30pm2:00pm  Accounting for temperaturedependent sex determination in crocodilians using delay differential equations  Angela C. Gallegos (Occidental College)  EE/CS 3180  SW4.24.09 
2:00pm2:45pm  Panel Discussion (Topic: Interviewing skills. Format: panel discussion)  Janet Pavelich Keel (Lockheed Martin) Erica Zimmer Klampfl (Ford) Suzanne L. Weekes (Worcester Polytechnic Institute)  EE/CS 3180  SW4.24.09 
2:45pm3:15pm  Coffee  EE/CS 3176  SW4.24.09  
3:15pm4:20pm  Lightening poster presentations (2 minutes per poster, slides are assembled in advance, presentations are timed by kitchen timer)  Tamara G. Kolda (Sandia National Laboratories)  EE/CS 3180  SW4.24.09 
4:20pm4:30pm  Group picture  SW4.24.09  
4:30pm6:00pm  Reception and Poster Session Poster submission is closed.  Lind Hall 400  SW4.24.09  
Arithmetic progressions on elliptic curves  Alejandra Alvarado (Arizona State University)  
Predicting migration of the enterocyte layer using a twodimensional mathematical model  Julia C. Arciero (University of Pittsburgh)  
Recommender systems: Incorporating time into movie recommendations  Jessica Blascak (Macalester College)  
Discrete empirical interpolation for nonlinear model reduction  Saifon Chaturantabut (Rice University)  
Zeta functions of hypergraphs associated to GSP(4)  Yang Fang (Pennsylvania State University)  
Stochastic chemostat center manifold analysis  Suzanne Galayda (New Mexico State University)  
Scattering of H^{1} solutions for the focusing quintic NLS in 2D  Cristi Darley Guevara (Arizona State University)  
Quasiperiodic decadal cycles in levels of Lakes Michigan and Huron  Janel Hanrahan (University of Wisconsin)  
Parametric analysis of RNA folding  Valerie Hower (Georgia Institute of Technology)  
Boundary integral method for shallow water and its application to KdV equation  Jeongsook Im (Ohio State University)  
Computational determination of enzyme reaction mechanisms  Srividhya Jeyaraman (University of Minnesota)  
Local fields in nonlinear power law materials  Silvia Jimenez (Louisiana State University)  
Multiple scaling methods in chemical reaction networks  HyeWon Kang (University of Minnesota)  
Counting and classifying the closed subgroups of a compact Abelian group  Merve Kovan (University of Pittsburgh)  
Functional data analysis: prediction through canonical correlation  Ana Kupresanin (Arizona State University)  
Tear film dynamics on an eyeshaped domain: Pressure boundary conditions  Kara Lee Maki (University of Delaware)  
Gels in biomedical applications: Modeling and finite element methods  Catherine (Katy) A. Micek (University of Minnesota)  
An analysis of the relationships between pseudocodewords  Katherine Morrison (University of Nebraska)  
Boundary value problems in Lipschitz domains  Katharine Ott (University of Kentucky)  
C*algebras associated with irreversible dynamical systems  Nura Patani (Arizona State University)  
Solving tangle equations: An overview of the tangle model associated with site specific recombination and topoisomerase action  Candice Price (University of Iowa)  
A theory of fracture based Upon extension of continuum mechanics to the nanoscale  Tsvetanka Sendova (University of Minnesota)  
The poset perspective on alternating sign matrices  Jessica Striker (University of Minnesota)  
A modelbased approach for clustering time series of counts  Sarah Julia Thomas (Rice University)  
Benchmarking finite population means using a Bayesian regression model  Maria Criselda Santos Toto (Worcester Polytechnic Institute)  
The most interesting surface maps  Chiayen Tsai (University of Illinois at UrbanaChampaign)  
From a BlackScholes model with stochastic volatility and high frequency data to a general partial integrodiffferental equation (PIDE)  Ana Luz VivasMejia (New Mexico State University)  
Analysis of messagepassing iterative decoding of finitelength LDPC codes  Chenying Wang (Pennsylvania State University)  
African American women in mathematics  Eyerusalem Kesete Woldegebreal (University of St. Thomas)  
6:30pm9:00pm  Banquet and Keynote Speaker: Rachel Kuske
(University of British Columbia)
Carlson Private Dining Room (Carlson School of
Management map)  Carlson Private Dining Room  SW4.24.09  
Mixing mathematics, activism, and community: (Yes, you can!)  Rachel Kuske (University of British Columbia)  
Introduction of the keynote speaker  Chehrzad Shakiban (University of Minnesota) 
All Day  8:45am10:15am Session Chair: Laura Lurati (Boeing)  SW4.24.09  
8:15am8:45am  Coffee  EE/CSci 3210  SW4.24.09  
8:45am9:15am  The canonical tensor decompositions and its application to data Analysis  Tamara G. Kolda (Sandia National Laboratories)  EE/CSci 3210  SW4.24.09 
9:15am9:45am  Using mathematics to transform communities  Tanya Moore (Building Diversity in Science)  EE/CSci 3210  SW4.24.09 
9:45am10:15am  An invitation to tropical geometry  Josephine Yu (Massachusetts Institute of Technology)  EE/CSci 3210  SW4.24.09 
10:15am10:25am  Workshop evaluation  EE/CSci 3210  SW4.24.09  
10:25am10:50am  Coffee  EE/CSci 3210  SW4.24.09  
10:50am12:00pm  Group discussion (Topic: What we learned and what we still have questions about. Format: Record observations by participants either on the board or on a projected display, but in real time. )  Kathleen O'Hara (Mathematical Sciences Research Institute)  EE/CSci 3210  SW4.24.09 
12:00pm1:15pm  Lunch  Lind Hall 400  SW4.24.09  
1:30pm5:30pm  Optional session: COACh – Negotiation skills for postdoctoral associates and graduate students  Jane W. Tucker (Jane W. Tucker and Associates)  Walter Library 101  SW4.24.09 
10:45am11:15am  Coffee break  Lind Hall 400  
4:40pm5:40pm  Fabes Seminar: The stability of matter  Heinz Siedentop (LudwigMaximiliansUniversität München)  Vincent Hall 570 
10:45am11:15am  Coffee break  Lind Hall 400  
11:15am12:15pm  Sequential Monte Carlo multiobject second moment approximation: An application to ecology  Vasileios Maroulas (University of Minnesota)  Lind Hall 305  PS 
10:45am11:15am  Coffee break  Lind Hall 400 
10:45am11:15am  Coffee break  Lind Hall 400  
1:00pm2:00pm  Reading group for Professor Ridgway Scott's book "Digital Biology"  L. Ridgway Scott (University of Chicago)  Lind Hall 401 
10:45am11:15am  Coffee break  Lind Hall 400 
10:45am11:15am  Coffee break  Lind Hall 400  
4:40pm5:40pm  Fabes seminar: On the stability of matter for relativistic Hamiltonians  Heinz Siedentop (LudwigMaximiliansUniversität München)  Vincent Hall 570 
10:45am11:15am  Coffee break  Lind Hall 400  
11:15am12:15pm  Introduction to quasicontinuum methods: Formulation, classification, analysis  Christoph Ortner (University of Oxford)  Lind Hall 305  PS 
10:45am11:15am  Coffee break  Lind Hall 400 
10:45am11:15am  Coffee break  Lind Hall 400  
1:00pm2:00pm  Reading group for Professor Ridgway Scott's book "Digital Biology"  L. Ridgway Scott (University of Chicago)  Lind Hall 401 
10:15am11:15am  Coffee break  Lind Hall 400  
2:45pm5:40pm  The
Twelfth RivièreFabes Symposium on Analysis and
PDE School of Mathematics, University of Minnesota April 1719, 2009  Vincent Hall 16 
All Day  The
Twelfth RivièreFabes Symposium on Analysis and
PDE School of Mathematics, University of Minnesota April 1719, 2009  Vincent Hall 16 
9:00am12:00pm  The
Twelfth RivièreFabes Symposium on Analysis and
PDE School of Mathematics, University of Minnesota April 1719, 2009  Vincent Hall 16 
10:45am11:15am  Coffee break  Lind Hall 400  
3:30pm4:30pm  The Truhlar group seminar: Molecular spintronics using DFT  Ilaria Ciofini (École Nationale Supérieure de Chimie de Paris)  283 Kolthoff Hall 
10:45am11:15am  Coffee break  Lind Hall 400  
11:15am12:15pm  Coordination of the two motor domains in the motor protein Kinesin2  William Hancock (Pennsylvania State University)  Lind Hall 305  PS 
10:45am11:15am  Coffee break  Lind Hall 400 
10:45am11:15am  Coffee break  Lind Hall 400  
1:00pm2:00pm  Reading group for Professor Ridgway Scott's book "Digital Biology"  L. Ridgway Scott (University of Chicago)  Lind Hall 401 
10:45am11:15am  Coffee break  Lind Hall 400  
1:25pm2:25pm  Computing invariant solutions of PDEs with symmetries  Vanessa Lopez (IBM)  Vincent Hall 570  IPS 
10:45am11:15am  Coffee break  Lind Hall 400  
3:30pm4:30pm  The Truhlar group seminar: First principles modeling of dyesensitized solar cells  Carlo Adamo (École Nationale Supérieure de Chimie de Paris)  283 Kolthoff Hall 
10:45am11:15am  Coffee break  Lind Hall 400  
11:15am12:15pm  II order perturbation over restricted active space wavefunction : An answer to chemical problems requiring larger active spaces  Abdul Rehaman Moughal Shahi (Université de Genève)  Lind Hall 305  PS 
6:30pm7:00pm  Math Matters Public Lecture Refreshment  Willey Hall Atrium  PUB4.28.09  
7:00pm8:15pm  Math Matters Public Lecture: Network Science: From the Web to Human Diseases  AlbertLászló Barabási (Northeastern University)  Willey Hall 125  PUB4.28.09 
10:45am11:15am  Coffee break  Lind Hall 400 
10:45am11:15am  Coffee break  Lind Hall 400  
1:00pm2:00pm  Reading group for Professor Ridgway Scott's book "Digital Biology"  L. Ridgway Scott (University of Chicago)  Lind Hall 401 
Event Legend: 

IPS  Industrial Problems Seminar 
PS  IMA Postdoc Seminar 
PUB4.28.09  Network Science: From the Web to Human Diseases 
SMC  IMA Seminar on Mathematics and Chemistry 
SW4.24.09  Career Options for Women in Mathematical Sciences 
The
Twelfth RivièreFabes Symposium on Analysis and
PDE School of Mathematics, University of Minnesota April 1719, 2009 

Abstract: This Symposium was established in memory of our colleagues Nestor M. Rivière and Eugene B. Fabes. Both of them were analysts and did their graduate work together at the University of Chicago. After finishing his Ph.D. under Alberto Calderón in 1966, Nestor joined the School of Mathematics the same year. Gene finished his Ph.D. under Antoni Zygmund in 1965 and spent two years at Rice University before coming to Minnesota in 1967. The two started a new era in classical analysis at Minnesota. Unfortunately for us, cancer claimed Nestor's life at the young age of 38 in 1978, ending a brilliant career. The department established the Nestor M. Rivière Lecture in his memory. Gene usually took care of the organizational work and the Rivière Lecture was supported by a fund established by donations from friends of Nestor. In 1997 another tragedy struck. Gene passed away just after he turned sixty and was still at the peak of his productive career. A list of his mathematical achievements can be found in his obituary in the Amer. Math. Soc. Notices, v. 45 (1998), pp. 706708, and in the Journal of Fourier Analysis and Appl., v. 4, no. 4/5 (1998). Former colleagues, students and friends of Nestor and Gene from all over the world expressed the sentiment that we should establish an annual symposium in their memory. Families of Nestor and Gene fully endorsed the idea of turning the Nestor M. Rivière Lecture into the RivièreFabes Symposium. With financial support from interested people the symposium was formally established in 1998.  
Alejandra Alvarado (Arizona State University)  Arithmetic progressions on elliptic curves 
Abstract: Consider an elliptic curve of the form y^{2}=f(x) over the rationals. We investigate arithmetic progressions in the x and y coordinates on a special type of elliptic curve.  
Julia C. Arciero (University of Pittsburgh)  Predicting migration of the enterocyte layer using a twodimensional mathematical model 
Abstract: Injury to the intestinal lining is repaired via rapid migration of enterocytes at the wound edge. Mathematical modeling of the mechanisms governing cell migration may provide insight into the factors that promote or impair epithelial restitution. A twodimensional continuum mechanical model is used to simulate the motion of the epithelial layer in response to a wound. The effects of the force generated by lamellipods, the adhesion between cells and the cell matrix, and the elasticity of the cell layer are included in the model. The partial differential equation describing the evolution of the wound edge is solved numerically using a level set method, and several wound shapes are analyzed. The initial geometry of the simulated wound is defined from the coordinates of an experimental wound taken from cell migration movies. The location and velocity of the wound edge predicted by the model is compared with the position and velocity of the recorded wound edge. These comparisons show good qualitative agreement between model results and experimental observations.  
AlbertLászló Barabási (Northeastern University)  Math Matters Public Lecture: Network Science: From the Web to Human Diseases 
Abstract: Systems as diverse as the world wide web, Internet or the cell are described by highly interconnected networks with amazingly complex structure. Recent studies indicate that the evolution of these complex networks is governed by simple but generic laws, resulting in apparently universal architectural features. I will discuss this amazing order characterizing our interconnected world, and its implications to how we perceive the impact on communications and medicine.  
Jessica Blascak (Macalester College)  Recommender systems: Incorporating time into movie recommendations 
Abstract: Recommender systems are widely used online to help consumers with information overload. Specifically, sites like Netflix and Movielens.org recommend movies to their customers based on their ratings for movies they have already seen. I will be addressing the problem of incorporating models based on time to the current systems.  
Saifon Chaturantabut (Rice University)  Discrete empirical interpolation for nonlinear model reduction 
Abstract: A dimension reduction technique called Discrete Empirical Interpolation Method (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogonal Decomposition (POD) method for constructing reducedorder models for unsteady and/or parametrized nonlinear partial differential equations (PDEs). In the presence of a general nonlinearity, the standard PODGalerkin technique reduces dimension in the sense that far fewer variables are present, but the complexity of evaluating the nonlinear term remains that of the original problem. Empirical Interpolation Method (EIM) posed in finite dimensional function space is a modification of POD that reduces complexity of the nonlinear term of the reduced model to a cost proportional to the number of reduced variables obtained by POD. DEIM is a variant that is suitable for reducing the dimension of systems of ordinary differential equations (ODEs) of a certain type. It is applicable to ODEs arising from finite difference discretization of unsteady time dependent PDE and/or parametrically dependent steady state problems. Our contribution is a greatly simplified description of EIM in a finite dimensional setting that possesses an error bound on the quality of approximation. An application of DEIM to a finite difference discretization of the 1D FitzHughNagumo equations is shown to reduce the dimension from 1024 to order 5 variables with negligible error over a longtime integration that fully captured nonlinear limit cycle behavior. We also demonstrate applicability in higher spatial dimensions with similar state space dimension reduction and accuracy results.  
Isabel K. Darcy (University of Iowa), Mary Ann Horn (National Science Foundation)  (Topic: How to write a grant) 
Abstract: No Abstract  
Rachelle C. DeCoste (Wheaton College)  Planning ahead 
Abstract: From the perspective of a junior faculty member at a small liberal arts college, I will speak to the graduate students in the audience about keeping their future in mind as they work through the daily stresses of graduate school. There are many small things that graduate students can do throughout their graduate careers that will help them when they reach their final year and begin the job search. There are many different paths to professional success and I will share some of my personal experiences and insights from my own journey through graduate school and the beginning stages of my career.  
Brenda L. Dietrich (IBM)  Math at IBM 
Abstract: In this talk I will describe some of the ways in which Math is used and IBM. I will cover project in research, consulting,product design and manufacturing.
BIO: Brenda Dietrich is an IBM Fellow and Vice President of the Business Analytics and Mathematical Sciences Department at the IBM Thomas J. Watson Research Center. She holds a BS in Mathematics from UNC and an MS and Ph.D. in OR/IE from Cornell. Her research includes manufacturing scheduling, services resource management, transportation logistics, integer programming, and combinatorial duality. She is a member of the Advisory Board of the IE/MS department of Northwestern Universit, and a member of the Board of Governors for IMA (Minnesota) and DIMACS (Rutgers), and IBM's delegate to MIT's Supply Chain 2020 program. She holds over a dozen patents, has coauthored numerous publications, and coedited the book Mathematics of the Internet: EAuction and Markets. She has been president of INFORMS and is a member of the National Academy of Engineering board on Mathematical Sciences adn Applications. 

James W. Evans (Iowa State University)  Stochastic "interacting particle systems" models for reactiondiffusion systems: Nonlinear kinetics, steadystate bifurcations (phase transitions), reaction fronts 
Abstract: Traditionally, nonlinear reaction kinetics and associated spatiotemporal reactiondiffusion behavior have been analyzed with meanfield rate and reactiondiffusion equations. This formulation assumes that the reactants are wellmixed, ignoring spatial correlations and fluctuations. This is akin to the meanfield Van der Waals equation of state for a fluid which has long since been surpassed by statistical mechanical treatments of phase transitions and critical phenomena. The recent USDOE Basic Science Grand Challenges report proposes an analogous sophisticated treatment of such farfromequilibrium systems (such as chemical reactions), where the thermodynamic framework available for equilibrium systems does not apply. Here, we investigate a statistical mechanical latticegas or "interacting particle systems" (IPS) realization of Schloegl's 2nd model for autocatalysis. The meanfield model displays bistability between a reactive and a poisoned state. In contrast, the IPS realization exhibits a discontinuous phase transition between these states with associated metastability and nucleation phenomena. This is mostly analogous to behavior in equilibrium fluid systems. However, the IPS realization also exhibits "generic twophase coexistence," behavior never seen in an equilibrium system.  
Yang Fang (Pennsylvania State University)  Zeta functions of hypergraphs associated to GSP(4) 
Abstract: Ihara first introduced zeta function associated to a regular graph, which is a rational function and can be nicely expressed as the inverse of some determinant using the adjacency operator. After Ihara’s work, there have been a lot of studies on zeta function associated to graphs. We would like to consider the higher dimensional analogue of graphs, ie, zeta functions associated to hypergraphs. We are trying to show that this zeta function can also be expressed as the inverse of some determinant using two vertex adjacency operators. And moreover, there is an identify showing the relation between the vertex adjacency operators and edge and chamber adjacency operators.  
Suzanne Galayda (New Mexico State University)  Stochastic chemostat center manifold analysis 
Abstract: Chemostat models play an important role in a variety of problems from cell biology to ethanol production. In this presentation we look at the effect of stochasticity on the basic MichaelisMenten Chemostat model. We begin by determining the bifurcations of the deterministic system via a center manifold reduction. The system is then perturbed by adding a noise term to the input concentration. The new perturbed system represents a stochastic chemostat model. Bifurcations of the stochastic model are investigated using stochastic center manifold reduction techniques. We then compare and contrast the bifurcation results of the deterministic and stochastic models.  
Angela C. Gallegos (Occidental College)  Accounting for temperaturedependent sex determination in crocodilians using delay differential equations 
Abstract: The crocodilia have multiple interesting characteristics that affect their population dynamics. They are among several reptile species which exhibit temperaturedependent sex determination (TSD) in which the temperature of egg incubation determines the sex of the hatchlings. Their life parameters, specifically birth and death rates, exhibit strong agedependence. We develop delaydifferential equation (DDE) models describing the evolution of a crocodilian population. In using the delay formulation, we are able to account for both the TSD and the agedependence of the life parameters while maintaining some analytical tractability. In our singledelay model we also find an equilibrium point and prove its local asymptotic stability. We numerically solve the different models and investigate the effects of multiple delays on the age structure of the population as well as the sex ratio of the population. For all models we obtain very strong agreement with the age structure of crocodilian population data as reported in Smith and Webb (Aust. Wild. Res. 12, 541–554, 1985). We also obtain reasonable values for the sex ratio of the simulated population. This is joint work with Tenecia Plummer, David Uminsky, Cinthia Vega, Clare Wickman and Michael Zawoiski.  
Pam Gao (Putman Investments)  Careers in quantitative equity investments 
Abstract: From mutual funds to hedge funds, quantitative models, risk management, portfolio construction are widely used. I will discuss career options,learning curve,learning opportunities and how to bridge from research to portfolio management.  
Cristi Darley Guevara (Arizona State University)  Scattering of H^{1} solutions for the focusing quintic NLS in 2D 
Abstract: Recent developments for the energy critical nonlinear Schrodinger equation (NLS) in 3d, and nonlinear wave equation (NLW) by Carlos Kenig and Frank Merle have attracted attention from Harmonic Analysis and PDE audience. Their approach is based on concentrationcompactness method and the localized virial argument. It gives a sharp threshold for the scattering and finite time blow up of solutions at least in the case of radial data, and in many problems can be extended to nonradial data as well. These methods have been recently applied to the focusing cubic NLS in 3D as well as to the mass critical (both focusing and defocusing) NLS in 2 and higher dimensions. Using the above techniques, we characterize the behavior of H^{1} solutions to the focusing quintic NLS in R^{2}. We obtain scattering for globally existing solutions (under an a priori massenergy threshold) and mention how this extends to a general mass supercritical and energy subcritical NLS with H^{1} data.  
William Hancock (Pennsylvania State University)  Coordination of the two motor domains in the motor protein Kinesin2 
Abstract: Kinesin2 motors transport cargo along microtubules both in the cytoplasm of cells and in cilia and flagella. Like many kinesins as well as selected myosin and dynein motors, Kinesin2 motors are processive, meaning they take many steps per encounter with a microtubule before detaching. This processive walking relies on mechnochemical coordination between the two motor domains. Compared to the canonical Kinesin1 (conventional kinesin), Kinesin2 is distinctive in having two different head domains as opposed to two identical motor domains. This heterodimeric structure opens the possibility that the motor properties of the two heads are tuned to optimize motor behavior. The second difference is that the flexible neck linker that connects each head to their shared dimerization domain is longer than in Kinesin1. Our experimental results suggest that the enhanced compliance resulting from this neck linker extension diminishes the mechanical communication between the two heads. Together with singlemolecule experiments on Kinesin1 and Kinesin2 motors, we are using stochastic kinetic models as well as molecular dynamics and Brownian Dynamics simulations to understand the entropic springlike properties of this neck linker domain and its role in kinesin stepping.  
Janel Hanrahan (University of Wisconsin)  Quasiperiodic decadal cycles in levels of Lakes Michigan and Huron 
Abstract: The Great Lakes provide transportation for shipping, hydroelectric power, sustenance and recreation for the more than 30 million people living in its basin. Understanding and predicting lakelevel variations is therefore a problem of great societal importance due to their immediate and profound impact upon the economy and environment. While the Great Lakes’ seasonal waterlevel variations have been previously researched and well documented, few studies thus far addressed longerterm, decadal cycles contained in the 143yr lakelevel instrumental record. Paleoreconstructions based on Lake Michigan’s coastal features, however, hinted to an approximate 30yr quasiperiodic lakelevel variability. In our recent research, spectral analysis of the 1865–2007 Lake Michigan/Huron historic levels revealed 8 and 12yr period oscillations; these time scales match those of largescale climatic signals previously found in the North Atlantic. It is suggested that the previously discovered 30yr cycle is due to the intermodulation of these two neardecadal signals. Furthermore, water budget analysis has argued that the North Atlantic decadal climate modes translate to the lake levels primarily through precipitation and its associated runoff.  
Leslie Hogben (Iowa State University), Karen Saxe (Macalester College)  Lunch (Discussion topic: Leadership skills and developing a technical research program  starting as a graduate student), 
Abstract: No Abstract  
Valerie Hower (Georgia Institute of Technology)  Parametric analysis of RNA folding 
Abstract: Determining the structure and function of RNA molecules remains a fundamental scientific challenge, since current methods cannot reliably identify the correct fold from the large number of possible configurations. We extend recent methods for parametric sequence alignment to the parameter space for scoring RNA folds. This involves the construction of an RNA polytope. A vertex of this polytope corresponds to RNA secondary structures with common branching. We use this polytope and its normal fan to study the effect of varying three parameters in the free energy model that are not determined experimentally. We additionally map a collection of known RNA secondary structures to the RNA polytope.  
Jeongsook Im (Ohio State University)  Boundary integral method for shallow water and its application to KdV equation 
Abstract: Consider the twodimensional incompressible, inviscid and irrotational fluid flow of finite depth bounded above by a free interface. Ignoring viscous and surface tension effects, the fluid motion is governed by the Euler equations and suitable interface boundary conditions. A boundary integral technique(BIT) which has an an advantage of reducing the dimension by one is used to solve the Euler equations. For convenience, the bottom boundary and interface are assumed to be 2 πperiodic. The complex potential is composed of two integrals, one along the free surface and the other along the rigid bottom. When evaluated at the surface, the integral along the surface becomes weakly singular and must be taken in the principalvalue sense. The other integral along the boundary is not singular but has a rapidly varying integrand, especially when the depth is very shallow. This rapid variation requires high resolution in the numerical integration. By removing the nearby pole, this difficulty is removed. In situations with long wavelengths and small amplitudes, one of the approximations for the Euler equations is the KdV equation. I compare the exact solution of Euler equation and the solution of KdV equation and calculate the error in the asymptotic approximation. This error agrees with the prediction by Bona, Colin and Lannes(2005). I calculate the coefficients of the dominant terms in asymptotic error(second order in approximation parameter). However, for larger amplitudes, there is significant disagreement. Indeed, the waves tend to break.  
Srividhya Jeyaraman (University of Minnesota)  Computational determination of enzyme reaction mechanisms 
Abstract: A biological process involves highly complex network of metabolic pathways, most of which are unknown and uncovered. Biologists and mathematicians work separately and together to solve the puzzle. In the recent years, advances in experimentation and technology have opened doors for following the dynamics of a system in realtime. This data is also called the time course data of a dynamically changing metabolic pathway. Information about the interactions of various metabolites in is hidden in this data. This information can be difficult to extract using conventional analytical techniques. From a fundamental perspective, a biological function is composed of several metabolic pathways, and each metabolic pathway is operated by several groups of enzymatic mechanisms. In turn, each enzymatic mechanism is composed of elementary chemical reactions which obey mass action kinetics. An approach that assembles the metabolic pathway from the elementary chemical reactions along with intelligent processing of selecting the right reactions can provide an answer to solving this puzzle. Global nonlinear modeling technique can make this approach possible. We have developed a new method based on globalnonlinear modeling to infer reaction mechanism from time course data. Our method involves two steps: (a) proposition of a family of model chemical reactions, (b) parsimonious model selection and fitting of the data. In the later step, a synergistic process that controls the model size and manages a best fit forms the intriguing aspect of the method. The technique can be modified and implemented to several types of time series data namely, simple chemical kinetics, complex metabolic pathway and recently the genetic microarray. The poster will illustrate the new method we have developed to infer reaction mechanisms from time series data obtained from experiments.  
Silvia Jimenez (Louisiana State University)  Local fields in nonlinear power law materials 
Abstract: Oscillations appear everywhere in nature and applied sciences. They naturally appear in many contexts including waves and transport phenomena in highly heterogeneous media. The mathematics of oscillations and associated transport phenomena including heat conduction, diffusion and porous media flow is now often referred to as Homogenization Theory. We provide an overview and background for the Homogenization Theory and outline new developments in tracking the behavior of gradients of solutions to nonlinear partial differential equations with highly oscillatory coefficients.  
HyeWon Kang (University of Minnesota)  Multiple scaling methods in chemical reaction networks 
Abstract: In this poster, expanding a multiple scaling method developed by Ball, Kurtz, Popovic, and Rempala, we construct a general method of multiple scaling approximations in chemical reaction networks. A continuous time Markov jump process is used to describe the state of the chemical system. In general chemical reaction networks, the species numbers and the reaction rate constants usually have various ranges. Two different scaling exponents are used to normalize the numbers of molecules of the chemical species and to scale the chemical reaction rate constants. Applying a time change, we have different time scales for the limiting processes in the reduced subsystems. The law of large numbers for Poisson processes is applied to approximate nonintegervalued processes. In each time scale, the processes with slow time scale act as constant and the processes with fast time scale are averaged out. Then the limit of the processes of our interest in a certain time scale is obtained in terms of the averaged processes with fast time scale and the initial values of the processes with slow time scale. The general method of multiple scaling approximations is applied to a model of Escherichia coli stress circuit using sigma 32targeted antisense developed by Srivastava, Peterson, and Bentley. We analyze the system and obtain limiting processes in each simplified subsystem, which approximates the normalized processes in the system with different time scales. Error estimates of the difference between the normalized processes and the limiting processes are given. Simulation results are given to compare the evolution of the processes in the system and the evolution of the approximated processes using the limiting processes in each simplified subsystem. Applying the martingale central limit theorem and using the averaging, we obtain a central limit theorem for deviation of the normalized processes from their limiting processes in the model.  
Janet Pavelich Keel (Lockheed Martin), Erica Zimmer Klampfl (Ford), Suzanne L. Weekes (Worcester Polytechnic Institute)  Panel Discussion (Topic: Interviewing skills. Format: panel discussion) 
Abstract: No Abstract  
Tamara G. Kolda (Sandia National Laboratories)  The canonical tensor decompositions and its application to data Analysis 
Abstract: Tensor decompositions (e.g., higherorder analogues of matrix decompositions such as the singular value decomposition) are powerful tools for data analysis. In particular, the CANDECOMP/PARAFAC (CP) model has proved useful in many applications such chemometrics, signal processing, and web analysis, to name a few. The problem of computing the CP decomposition is a nonlinear optimization problem and typically solved using an alternating least squares approach. We discuss the use of (nonalternating) optimizationbased algorithms for CP, including how to compute the derivatives necessary for the optimization methods. Numerical studies highlight the positive features of our CPOPT algorithms, as compared with alternating least squares and nonlinear least squares approaches. We present applications to predicting links in bibliometric data. This is joint work with Evrim Acar and Daniel M. Dunlavy.  
Tamara G. Kolda (Sandia National Laboratories)  Lightening poster presentations (2 minutes per poster, slides are assembled in advance, presentations are timed by kitchen timer) 
Abstract: No Abstract  
Merve Kovan (University of Pittsburgh)  Counting and classifying the closed subgroups of a compact Abelian group 
Abstract: No Abstract  
Ana Kupresanin (Arizona State University)  Functional data analysis: prediction through canonical correlation 
Abstract: With advances in technology, increased computing capability and capability to store more information, functional data now arise in a diverse and growing range of fields. Intuitively speaking, functional data represent observations of functions or curves. We study the problem of prediction and estimation in a setting where either the predictor or the response or both are random functions. We show that a general solution to the prediction problem in functional data can be accomplished through canonical correlation analysis. We derive a form for the best linear unbiased predictor for Hilbert function space random variables using the isomorphism that relates a secondorder stochastic process to the reproducing kernel Hilbert space (RKHS) generated by its covariance kernel. We also demonstrate that this abstract theory can be translated into practical tools for use in data analysis.  
Rachel Kuske (University of British Columbia)  Mixing mathematics, activism, and community: (Yes, you can!) 
Abstract: I'll discuss a spectrum of strategies and viewpoints that can be helpful in navigating the different aspects of mathematics career building: exploration of different careers, finishing your degree, applications, interviews, negotiations, expectations for success, promotions, and job satisfaction. Since it's not a case of "one size fits all" but rather "mix and match", we'll take some time to reflect on different opportunities to use these ideas and where they become most relevant for us.  
Vanessa Lopez (IBM)  Computing invariant solutions of PDEs with symmetries 
Abstract: We consider the problem of numerically computing solutions of evolutionary nonlinear partial differential equations (PDEs) with a finitedimensional group of symmetries. Specifically, we look for solutions that are fixed by elements of the equations' symmetry group. The latter class includes timeperiodic solutions. We work with the complex GinzburgLandau equation (CGLE) in one space dimension, which has a 3parameter group of symmetries generated by spacetime translations and a rotation of the (complex) amplitude. The spectralGalerkin method used to discretize the PDE will be described, along with the approach for solving the resulting system of nonlinear algebraic equations which allowed us to identify multiple new solutions in a chaotic region of the CGLE. Due to the relatively small number of unknowns considered (2,000  3,000 after discretization), it was possible to use a direct method for linear systems as part of the process for solving the nonlinear system. However, for problems with a large number of unknowns, iterative methods for linear systems are required. We will conclude our talk with a discussion on the use of such methods for solving these types of problems.  
Kara Lee Maki (University of Delaware)  Tear film dynamics on an eyeshaped domain: Pressure boundary conditions 
Abstract: Every time we blink a thin multilayer film forms on the front of the eye essential for both health and optical quality. Explaining the dynamics of this film in healthy and unhealthy eyes is an important first step towards effectively managing syndromes such as dry eye. Using lubrication theory, we model the evolution of the tear film during relaxation (after a blink). The highly nonlinear governing equation is solved on an overset grid by a method of lines in the Overture framework. Our simulations show sensitivity in the flow around the boundary to the choice of the pressure boundary condition and to gravitational effects. Furthermore, the simulations capture some experimental observations.  
Vasileios Maroulas (University of Minnesota)  Sequential Monte Carlo multiobject second moment approximation: An application to ecology 
Abstract: In recent years, scientists have tagged and tracked via Argos, a satellitebased system which collects data from mobile platforms worldwide, various species in order to discover how wildlife behaves. A plethora of these species moves in groups and while it travels sudden change of the motion of the individuals belonging to a group might happen causing rapid modification of the number of tracking objects. Consequently, it is understood that a multiobject framework is crucial, tracking not only the trajectories of the entire group, but also the number of individual species belonging to it. Several studies in the past approached the multiobject tracking problem by monitoring each individual of the group and reporting recursively the number of targets resulting in a rise of the computational cost of the algorithm. Furthermore, it was often assumed that the object motions of targets are statistically independent of each other and the number of tracking objects fixed. The approach of this talk is quite different, providing an analogue of the singleobject Bayes filtering methods. The key strategy to a rigorous formulation of multiobject estimation as a Bayesian filtering problem, is to conceptually view the collection of individual targets as a setvalued state, and the collection of individual observations as a setvalued observation. Thus, random finite set (RFS) theory is adopted as a unified approach to multitarget tracking. Modeling setvalued states and setvalued observations through RFS theory allows the problem of dynamically estimating multiple tags in the presence of clutter and association uncertainty to be cast in a Bayesian filtering framework. On the other hand, the multiobject Bayes filtering density is computationally expensive. Therefore, in this talk, a second moment approximation is proposed to overpass the computational complexity of the full multitarget Bayes filter, called cardinalized probability hypothesis density (CPHD). The CPHD propagates at each time step, not only the position estimates of the objects but also the expected number of targets. Furthermore, multitarget sequential Monte Carlo techniques have been implemented to a simulated data set, resembling possible trajectories of a wildlife group, and accurate performance of the CPHD has been verified.  
Catherine (Katy) A. Micek (University of Minnesota)  Gels in biomedical applications: Modeling and finite element methods 
Abstract: The widespread use of polymer gels in industrial applications provides ample motivation for the mathematical study of gels. The complex physics of gels, however, make the mathematical modeling of gel systems a challenging task. Gels consist of polymer chains chemically bonded together to form a network and contain a liquid solvent within the network pores. This hybrid solidfluid composition of gels makes them a viscoelastic material. The viscoelastic mechanics must also be coupled with the other processes in the gel (such as chemical or temperature effects) in order to be a comprehensive model. This work, which is a joint collaboration with M.C. Calderer and M.E. Rognes, is aimed at addressing some of these challenges. We present mixed finite element methods developed for gel problems in biomedical applications. We use a continuum model for the gel to study the linearized elastic problem and pay special attention to issues such as residual stress, the role of material parameters in the stability of the scheme, and the modeling considerations, as well as presenting numerical simulations.  
Tanya Moore (Building Diversity in Science)  Using mathematics to transform communities 
Abstract: Can mathematics be used to empower a community? How does a biostatistician transfer math skills to work in the government and nonprofit sectors? How is statistics really used in the field of public health? During this talk I will share highlights of my journey from studying mathematics to working in a city health department and for a nonprofit that is committed to supporting and encouraging emerging scientist and mathematicians.  
Katherine Morrison (University of Nebraska)  An analysis of the relationships between pseudocodewords 
Abstract: Lowdensity paritycheck (LDPC) codes have proven invaluable for error correction coding in communications technology. They are currently used in a number of practical applications such as deep space communications and local area networks and are expected to become the standard in fourth generation wireless systems. Given their impressive performance, it has become important to understand the decoding algorithms associated with them. In particular, significant interest has developed in understanding the noncodeword outputs that occur in simulations of LDPC codes with iterative messagepassing decoding algorithms. In his dissertation, Wiberg provides the foundation for examining these decoder errors, proving that computation tree pseudocodewords are the precise cause of these noncodeword outputs. Even with these insights, though, theoretical analyses of the convergence of iterative messagepassing decoding algorithms have thus far been scarce. Meanwhile, Vontobel and Koetter have proposed an alternative framework for analyzing these algorithms based on intuition about the local nature of these decoders. These authors develop the notion of graph cover pseudocodewords as a possible explanation for decoding errors. This set of pseudocodewords has proven much more tractable for theoretical analysis although its exact role in decoding errors has not been proven. The focus of this work is to examine the relationships between these two types of pseudocodewords. In particular, we will examine properties of graph cover pseudocodewords that allow for the translation of findings from that body of research to further the analysis of computation tree pseudocodewords. This is joint work with Nathan Axvig, Deanna Dreher, Eric Psota, Dr. Lance Pérez and Dr. Judy Walker at the University of Nebraska  
Abdul Rehaman Moughal Shahi (Université de Genève)  II order perturbation over restricted active space wavefunction : An answer to chemical problems requiring larger active spaces 
Abstract: Ionization potential (IP) is an essential property which helps in understanding the band structures and electronic states of molecular wires and rings. We use the newly developed RASSCF/RASPT2 method to calculate the Ionization potentials of piconjugated oligomeric systems of acetylene (n = 1,5) and phenylene (n = 1,3) . We check for the convergence of this method with respect to the well established CASSCF/CASPT2 method. The accuracy of this approach in calculating the IPs is comparable ~0.1 eV to that of the CASPT2. The heavy reduction in the number of configuration state functions with this approach is of great importance in studying the chemical problems, where CASSCF/CASPT2 calculations are not feasible owing to the large active spaces. In this study we have been able to study the pentamer of acetylene and trimer of Phenylene systems which can not be studied previously with the CASPT2 method.  
Kathleen O'Hara (Mathematical Sciences Research Institute)  Group discussion (Topic: What we learned and what we still have questions about. Format: Record observations by participants either on the board or on a projected display, but in real time. ) 
Abstract: No Abstract  
Christoph Ortner (University of Oxford)  Introduction to quasicontinuum methods: Formulation, classification, analysis 
Abstract: In the first part of the talk I will, in general terms, motivate the need and the potential for coupling models of increasing complexity to describe materials at the atomistic scale. One of the simplest examples is the quasicontinuum method for coupling classical molecular mechanics (statics!) to nonlinear elasticity finite element methods. In the second part of my talk, I will derive two QC methods for a simple 1D model problem and show some recent analytic results about their properties. In the third part of the talk, I will give a more detailed analysis of a third QC method (the quasinonlocal coupling method of Shimokava et al). For this method, it is possible to prove that "local minimizers" of the atomistic model and the QNL model correspond 11.  
Katharine Ott (University of Kentucky)  Boundary value problems in Lipschitz domains 
Abstract: We summarize several recent results regarding the wellposedness of a series of boundary value problems arising in mathematical physics, engineering and computer graphics. More specifically, we discuss three types of boundary value problems in the class of Lipschitz domains: Transmission Boundary Value Problems, the Radiosity Equation, and the Mixed Boundary Value Problem. Our treatment relies on layer potential methods, Greentype formulas, Mellin transform techniques and Rellich identities.  
Nura Patani (Arizona State University)  C*algebras associated with irreversible dynamical systems 
Abstract: In topological dynamics, an irreversible system is modeled by an endomorphism, not a homeomorphism, of a compact Hausdorff space X. From such an endomorphism, we obtain an action of a semigroup P on C(X). We present two associated C*algebras and the additional hypotheses required for their construction: the transformation groupoid C*algebra and Exel's crossedproduct. Under appropriate conditions the two are isomorphic. However, an example was given by Ruy Exel and Jean Renault in which the transformation groupoid C*algebra may be constructed by Exel's crossedproduct cannot. We give necessary and sufficient conditions which may be imposed on the given system in order to construct Exel's crossed product.  
Candice Price (University of Iowa)  Solving tangle equations: An overview of the tangle model associated with site specific recombination and topoisomerase action 
Abstract: The tangle model was developed in the 1980's by DeWitt Sumners and Claus Ernst. The model uses the mathematics of tangles to model DNAprotein binding. An nstring tangle is a pair (B,t) where B is a 3dimensional ball and t is a collection of n nonintersecting curves properly embedded in B. We model the protein as the 3ball and the DNA strands bound by the protein as the nonintersecting curves. In the tangle model for protein action, one solves simultaneous equations for unknown tangles that are summands of observed knots/links. This poster will give an overview of the tangle model for site specific recombination and topoisomerase action including definitions and examples.  
Tsvetanka Sendova (University of Minnesota)  A theory of fracture based Upon extension of continuum mechanics to the nanoscale 
Abstract: We analyze several fracture models based on a new approach to modeling brittle fracture. Integral transform methods are used to reduce the problem to a Cauchy singular, linear integrodifferential equation. We show that ascribing constant surface tension to the fracture surfaces and using the appropriate crack surface boundary condition, given by the jump momentum balance, leads to a sharp crack opening profile at the crack tip, in contrast to the classical theory of brittle fracture. However, such a model still predicts singular crack tip stress. For this reason we study a modified model, where the surface excess property is responsive to the curvature of the fracture surfaces. We show that curvaturedependent surface tension, together with boundary conditions in the form of the jump momentum balance, leads to bounded stresses and a cusplike opening profile at the crack tip. Further, two possible fracture criteria in the context of the new theory are studied. The first one is an energy based crack growth condition, while the second employs the finite crack tip stress the model predicts. Joint work with Dr. Jay R. Walton, Texas A&M University.  
Jessica Striker (University of Minnesota)  The poset perspective on alternating sign matrices 
Abstract: Alternating sign matrices (ASMs) are simply defined as square matrices with entries 0, 1, or 1 whose rows and columns sum to 1 and whose nonzero entries alternate in sign, but despite this simple definition ASMs have proved quite difficult to understand (and even count). We put ASMs into a larger context by studying subposets of a certain tetrahedral poset, the order ideals of which we prove are in bijection with a variety of interesting combinatorial objects, including ASMs, totally symmetric self complementary plane partitions (TSSCPPs), Catalan objects, tournaments, and totally symmetric plane partitions. We then use this perspective to reformulate a known expansion of the tournament generating function as a sum over ASMs and prove a new expansion as a sum over TSSCPPs.  
Sarah Julia Thomas (Rice University)  A modelbased approach for clustering time series of counts 
Abstract: (Coauthors: Bonnie K. Ray, IBM Watson Research Center; Katherine B. Ensor, Rice University) We present a new modelbased approach for clustering time series data from air quality monitoring networks. In this case study, the time series consist of daily counts of exceedances of EPA regulation thresholds for concentrations of the volatile organic compounds (VOCs) 1,3butadiene and benzene at air quality monitoring stations around Houston, Texas. We model the count series with a zeroinflated, observationdriven Poisson regression model. Covariates for the regression model are derived from the Gaussian plume equation for atmospheric dispersion and represent a transformed distance from a point source of VOC emissions to the air monitoring station. To account for serial correlation between the observations, an autoregressive component is included in the mean process of the Poisson. We use a likelihood based distance metric to measure similarity between data series, and then apply an agglomerative hierarchical clustering algorithm. Each cluster has a representative model which can be used to quickly assess differences between groups of air monitor sand streamline environmental policy decisions. Because the covariates are constructed from locations of known emissions point sources, the resulting model gives an indication of relative effect of each point source on the level of pollution at the air quality monitors.  
Maria Criselda Santos Toto (Worcester Polytechnic Institute)  Benchmarking finite population means using a Bayesian regression model 
Abstract: The main goal in small area estimation is to use models to 'borrow strength' from the ensemble because the direct estimates of small area parameters are generally unreliable. However, when models are used, the combined estimates from all small areas do not usually match the value of the single estimate on the large area. Benchmarking is done by applying a constraint, internally or externally, that will ensure that the 'total' of the small areas matches the 'grand total.' We use a Bayesian nested error regression model to develop a method to benchmark the finite population means of small areas. In two illustrative examples, we apply our method to estimate the number of acres of crop and body mass index. We also perform a simulation study to further assess the properties of our method.  
Chiayen Tsai (University of Illinois at UrbanaChampaign)  The most interesting surface maps 
Abstract: One way to study nonEuclidean geometry is to understand maps of a surface onto itself. Among these maps, the most interesting ones are pseudoAnosov maps. People has been trying to understand what pseudoAnosov maps do to a surface. On the other hand, we can try to study how pseudoAnosov maps behave when we change the underlying surface.  
Jane W. Tucker (Jane W. Tucker and Associates)  Optional session: COACh – Negotiation skills for postdoctoral associates and graduate students 
Abstract: This session is designed to introduce mutual interest based negotiations or solution finding to people relatively new in their careers. It encourages understanding of interests and developing alternatives to enhance the possibility of packaging options that build agreement. Content focuses on challenges currently faced by attendees and on the job seeking process they will experience.  
Ana Luz VivasMejia (New Mexico State University)  From a BlackScholes model with stochastic volatility and high frequency data to a general partial integrodiffferental equation (PIDE) 
Abstract: The standard BlackScholes equation has been used widely for option pricing. The principal assumptions are that the price fluctuation of the underlying security can be described by an Ito process and the volatility is constant. Several models have been proposed in recent years allowing the volatility to follow a stochastic process with a standard Brownian motion. The BlackScholes model with jumps arises when the Brownian random walk doesn't fit high frequency financial data. The necessity of considering large market movements and a great amount of information arriving suddenly (i.e. a jump) has led to the study of partial integrodifferential equations (PIDE), with the integral term modeling the jump. We consider a BlackScholes model taking into account stochastic volatility and jumps, and analyze a more general parabolic integrodifferential equation.  
Chenying Wang (Pennsylvania State University)  Analysis of messagepassing iterative decoding of finitelength LDPC codes 
Abstract: Lowdensity paritycheck (LDPC) codes and some iterative decoding algorithms were first introduced by Gallager in 1962. Then, in the mid1990's, the rediscovery of LDPC codes by Mackay and Neal, and the work of Wiberg, Loeliger, and Koetter on codes on graphs and messagepassing iterative decoding (MPID) initiated a flurry of research on LDPC codes. While MPID is computationally far less demanding than maximumlikelihood decoding (MLD), which is the optimal decoding, the performance of MPID is quite good. We obtained an upper bound of the errors and a lower bound of the decoding iterations so that the error will be corrected and the solution will stabilize when MPID is implemented. For cycle codes, the error bound is tight and coincides with the one of MLD in worst case.  
Eyerusalem Kesete Woldegebreal (University of St. Thomas)  African American women in mathematics 
Abstract: Purpose: As an African American woman studying mathematics I have noticed the lack of other African American woman in my math courses. Even though the number of African American men in these courses is very small as well, it is still significantly larger than that of woman and I am curious and excited to find out why this occurs. Since there continues to be studies that show the same trends of African American students falling behind their peers when it comes to mathematics I believe that there are answers to why this occurs and what can be implemented in the classroom to change these statistics (Ambrose, Levi, & Fennema, 1997). For these reasons I have explored my proposed questions more deeply in the African American Women in Mathematics Project. Research questions and methodology: Over the summer I took the time to explore a research question which really interested me. The question of interest: What factors influence African American woman to shy away from mathematics in college? I thought that it would be very interesting to take a closer look and try to understand why these factors occur. I also had the time to look at a second question that looks at families, friends, and media and their influence on the choice of a college major for African American women. The African American Women in Mathematics Project uses qualitative methods to examine factors influencing the choice of college major by African American women and family influence of major. I created a list of interview questions that I asked several African American women involved in the REAL Program and Summer Academy. This data heavily supported the literature that I read as well as did interviewing professionals in the math and/or education field.  
Josephine Yu (Massachusetts Institute of Technology)  An invitation to tropical geometry 
Abstract: Tropical geometry is the geometry over the tropical semiring, which is the set of real numbers where the tropical addition is taking the minimum, and the tropical multiplication is the ordinary addition. As the ordinary linear and polynomial algebra give rise to convex geometry and algebraic geometry, tropical linear and polynomial algebra give rise to tropical convex geometry and tropical algebraic geometry. I will introduce these basic objects in tropical geometry and discuss their applications to other areas of pure and applied mathematics, such as enumerative geometry, computational algebra, and combinatorial optimization. 
Jeannine Therese Abiva  University of Iowa  4/2/2009  4/5/2009 
Carlo Adamo  École Nationale Supérieure de Chimie de Paris  4/3/2009  6/30/2009 
Alejandra Alvarado  Arizona State University  4/2/2009  4/5/2009 
Arjana Angjeli  Oakland University  4/2/2009  4/5/2009 
Julia C. Arciero  University of Pittsburgh  4/3/2009  4/5/2009 
Donald G. Aronson  University of Minnesota  9/1/2002  8/31/2009 
AlbertLászló Barabási  Northeastern University  4/28/2009  4/29/2009 
Elizabeth Barancik  DePaul University  4/2/2009  4/4/2009 
Stacey Beggs  Institute for Pure and Applied Mathematics (IPAM)  4/2/2009  4/4/2009 
Jessica Blascak  Macalester College  4/2/2009  4/4/2009 
Beth Bower  Rice University  4/2/2009  4/5/2009 
Michal Branicki  University of Bristol  4/6/2009  4/11/2009 
Peter Brune  University of Chicago  9/8/2008  6/30/2009 
Sun Young Bu  University of North Carolina  2/1/2009  5/30/2009 
MariaCarme T. Calderer  University of Minnesota  9/1/2008  6/30/2009 
Hannah Callender  University of Minnesota  9/1/2007  8/31/2009 
Eralda Caushaj  Oakland University  4/2/2009  4/5/2009 
Aycil Cesmelioglu  Rice University  4/2/2009  4/5/2009 
Saifon Chaturantabut  Rice University  4/2/2009  4/5/2009 
Xianjin Chen  University of Minnesota  9/1/2008  8/31/2010 
YiLin Cheng  Iowa State University  4/2/2009  4/4/2009 
Ji Choi  Macalester College  4/2/2009  4/4/2009 
Ilaria Ciofini  École Nationale Supérieure de Chimie de Paris  4/3/2009  6/30/2009 
Isabel K. Darcy  University of Iowa  4/2/2009  4/4/2009 
Randell Davenport  Oakland University  4/2/2009  4/5/2009 
Rachelle C. DeCoste  Wheaton College  4/2/2009  4/4/2009 
Laura Leigh DeLoss  Iowa State University  4/2/2009  4/4/2009 
Brenda L. Dietrich  IBM  4/2/2009  4/4/2009 
Daniel Dix  University of South Carolina  1/1/2009  6/30/2009 
Olivier Dubois  University of Minnesota  9/3/2007  8/31/2009 
Anne Eaton  University of Minnesota  4/2/2009  4/4/2009 
James W. Evans  Iowa State University  3/15/2009  5/22/2009 
Yang Fang  Pennsylvania State University  4/2/2009  4/5/2009 
Christopher Fraser  University of Chicago  8/27/2008  6/30/2009 
Suzanne Galayda  New Mexico State University  4/2/2009  4/5/2009 
Angela C. Gallegos  Occidental College  4/2/2009  4/4/2009 
Pam Gao  Putman Investments  4/2/2009  4/4/2009 
Paula Grohs  Northwestern College  4/2/2009  4/4/2009 
Cristi Darley Guevara  Arizona State University  4/2/2009  4/5/2009 
Le Gui  University of Iowa  4/2/2009  4/5/2009 
William Hancock  Pennsylvania State University  4/21/2009  4/21/2009 
Janel Hanrahan  University of Wisconsin  4/2/2009  4/4/2009 
Megan Hawley  Bethel University  4/2/2009  4/4/2009 
Xiaoqing He  University of Minnesota  4/2/2009  4/4/2009 
Mark S. Herman  University of Minnesota  9/1/2008  8/31/2010 
Peter Hinow  University of Minnesota  9/1/2007  8/21/2009 
Leslie Hogben  Iowa State University  4/2/2009  4/4/2009 
Mary Ann Horn  National Science Foundation  4/2/2009  4/4/2009 
Valerie Hower  Georgia Institute of Technology  4/2/2009  4/4/2009 
Jingfang Huang  University of North Carolina  12/30/2008  5/31/2009 
Yunkyong Hyon  University of Minnesota  9/1/2008  8/31/2010 
Jeongsook Im  Ohio State University  4/2/2009  4/5/2009 
Mark Iwen  University of Minnesota  9/1/2008  8/31/2010 
Alexander Izzo  Bowling Green State University  9/1/2008  6/30/2009 
Srividhya Jeyaraman  University of Minnesota  9/1/2008  8/31/2010 
Lijian Jiang  University of Minnesota  9/1/2008  8/31/2010 
Silvia Jimenez  Louisiana State University  4/2/2009  4/5/2009 
Janhavi Joshi  Ohio State University  4/2/2009  4/5/2009 
Sarah Kaiser  Bethel University  4/2/2009  4/4/2009 
HyeWon Kang  University of Minnesota  4/2/2009  4/4/2009 
Janet Pavelich Keel  Lockheed Martin  4/2/2009  4/4/2009 
Markus Keel  University of Minnesota  7/21/2008  6/30/2009 
Elisabeth Teudjeu Kemajou  Southern Illinois University  4/2/2009  4/4/2009 
Erica Zimmer Klampfl  Ford  4/2/2009  4/4/2009 
Tamara G. Kolda  Sandia National Laboratories  4/2/2009  4/4/2009 
Pamela Kosick  University of Delaware  4/2/2009  4/4/2009 
Merve Kovan  University of Pittsburgh  4/2/2009  4/4/2009 
Melissa Kraus  Purdue University  4/2/2009  4/4/2009 
Ana Kupresanin  Arizona State University  4/2/2009  4/5/2009 
Rachel Kuske  University of British Columbia  4/2/2009  4/4/2009 
Michelle Lastrina  Iowa State University  4/2/2009  4/4/2009 
Claude Le Bris  CERMICS  9/11/2008  5/30/2009 
ChiunChang Lee  National Taiwan University  8/26/2008  7/31/2009 
Fang Li  Purdue University  4/2/2009  4/5/2009 
Lu Li  University of Minnesota  4/2/2009  4/4/2009 
Yongfeng Li  University of Minnesota  9/1/2008  8/31/2010 
Hai Lin  University of Colorado  3/1/2009  5/30/2009 
TaiChia Lin  National Taiwan University  8/23/2008  7/31/2009 
Chun Liu  University of Minnesota  9/1/2008  8/31/2010 
Rongsong Liu  Purdue University  4/2/2009  4/4/2009 
Sijia Liu  Iowa State University  4/2/2009  4/4/2009 
Yun Liu  University of Minnesota  4/2/2009  4/4/2009 
Madhuri Udayanjani Lolla  Oakland University  4/2/2009  4/5/2009 
Vanessa Lopez  IBM  4/23/2009  4/25/2009 
Kelly Lough  Bethel University  4/2/2009  4/4/2009 
Laura Lurati  Boeing  4/2/2009  4/4/2009 
Elonia Lusha  Oakland University  4/2/2009  4/5/2009 
Mitchell Luskin  University of Minnesota  9/1/2008  6/30/2009 
Kara Lee Maki  University of Delaware  4/1/2009  4/4/2009 
Vasileios Maroulas  University of Minnesota  9/1/2008  8/31/2010 
Tracy Jean McKay  Iowa State University  4/2/2009  4/4/2009 
Kevin W. Mclaughlin  University of Wisconsin  River Falls  1/6/2009  6/30/2009 
Catherine (Katy) A. Micek  University of Minnesota  4/2/2009  4/4/2009 
Erin Rita Militzer  University of Kentucky  4/2/2009  4/5/2009 
Tanya Moore  Building Diversity in Science  4/3/2009  4/5/2009 
Katherine Morrison  University of Nebraska  4/2/2009  4/4/2009 
Shari Moskow  Drexel University  4/2/2009  4/4/2009 
Abdul Rehaman Moughal Shahi  Université de Genève  2/2/2009  6/30/2009 
Mechie Nkengla  University of Illinois  4/2/2009  4/4/2009 
Samantha M. Oestreicher  University of Minnesota  4/2/2009  4/4/2009 
Kathleen O'Hara  Mathematical Sciences Research Institute  4/2/2009  4/5/2009 
Alexandra Ortan  University of Minnesota  4/2/2009  4/4/2009 
Christoph Ortner  University of Oxford  4/1/2009  5/3/2009 
Katharine Ott  University of Kentucky  4/2/2009  4/5/2009 
Katie Ouellette  University of Kentucky  4/2/2009  4/5/2009 
Nura Patani  Arizona State University  4/2/2009  4/5/2009 
Kasi Anna Pawelek  Oakland University  4/2/2009  4/5/2009 
Kristen Elaine Pedersen  Worcester Polytechnic Institute  4/2/2009  4/5/2009 
Irine Peng  Indiana University  4/2/2009  4/5/2009 
Candice Price  University of Iowa  4/2/2009  4/4/2009 
Olga Pryporova  Iowa State University  4/2/2009  4/4/2009 
Sri Pudipeddi  Augsburg College  4/2/2009  4/4/2009 
Paul Rejto  Pfizer Global R&D  4/30/2009  5/2/2009 
Karen Raquel RiosSoto  University of Puerto Rico  4/2/2009  4/4/2009 
Maria Sabitova  University of Illinois at UrbanaChampaign  4/2/2009  4/5/2009 
Fadil Santosa  University of Minnesota  7/1/2008  6/30/2010 
Andreas Savin  Université de Paris VI (Pierre et Marie Curie)  3/22/2009  4/2/2009 
Karen Saxe  Macalester College  4/2/2009  4/4/2009 
Arnd Scheel  University of Minnesota  9/1/2008  6/30/2009 
L. Ridgway Scott  University of Chicago  9/1/2008  6/30/2009 
Alexandra Seceleanu  University of Illinois at UrbanaChampaign  4/2/2009  4/5/2009 
Tsvetanka Sendova  University of Minnesota  9/1/2008  8/31/2010 
YeonJung Seo  Iowa State University  4/2/2009  4/4/2009 
Chehrzad Shakiban  University of Minnesota  4/2/2009  4/4/2009 
Yuk Sham  University of Minnesota  9/1/2008  6/30/2009 
Alla Shved  Worcester Polytechnic Institute  4/2/2009  4/5/2009 
Heinz Siedentop  LudwigMaximiliansUniversität München  1/14/2009  4/21/2009 
Billie Siegfried  Augsburg College  4/2/2009  4/4/2009 
Robert D. Skeel  Purdue University  3/29/2009  6/27/2009 
Andrew M. Stein  University of Minnesota  9/1/2007  5/1/2009 
Jessica Striker  University of Minnesota  4/2/2009  4/4/2009 
Linlin Su  University of Minnesota  4/2/2009  4/4/2009 
Huan Sun  Pennsylvania State University  2/5/2009  5/31/2009 
Kacie Theisen  Ford  4/2/2009  4/5/2009 
Sarah Julia Thomas  Rice University  4/2/2009  4/5/2009 
Alice Tibbetts  University of Minnesota  4/2/2009  4/4/2009 
Maria Criselda Santos Toto  Worcester Polytechnic Institute  4/2/2009  4/5/2009 
Donald G. Truhlar  University of Minnesota  9/1/2008  6/30/2009 
Chiayen Tsai  University of Illinois at UrbanaChampaign  4/2/2009  4/5/2009 
Jane W. Tucker  Jane W. Tucker and Associates  4/3/2009  4/5/2009 
Erkan Tüzel  University of Minnesota  9/1/2007  8/7/2009 
K. P. Unnikrishnan  General Motors  4/16/2009  4/17/2009 
Ana Luz VivasMejia  New Mexico State University  4/2/2009  4/5/2009 
Chenying Wang  Pennsylvania State University  4/2/2009  4/5/2009 
Qixuan Wang  University of Minnesota  4/2/2009  4/4/2009 
Yi Wang  University of Minnesota  4/2/2009  4/4/2009 
Ying Wang  Ohio State University  4/2/2009  4/5/2009 
Zhian Wang  University of Minnesota  9/1/2007  8/31/2009 
Suzanne L. Weekes  Worcester Polytechnic Institute  4/2/2009  4/5/2009 
Stephen Wiggins  University of Bristol  1/10/2009  6/30/2009 
Galbodayage Sujeeva Wijesiri  Oakland University  4/1/2009  4/4/2009 
Eyerusalem Kesete Woldegebreal  University of St. Thomas  4/2/2009  4/4/2009 
Wei Xiong  University of Minnesota  9/1/2008  8/31/2010 
Xiang Xu  Pennsylvania State University  1/26/2009  6/1/2009 
Karamatou Adjoke Yacoubou Djima  University of Maryland  4/2/2009  4/4/2009 
Josephine Yu  Massachusetts Institute of Technology  4/2/2009  4/5/2009 
Likun Zheng  University of Minnesota  4/2/2009  4/4/2009 
Weigang Zhong  University of Minnesota  9/1/2008  8/31/2010 
Eliana Zoque  University of Chicago  4/2/2009  4/5/2009 