Spring 2014 and Fall 2013
Time and place: 3:45pm--4:45pm, Fridays at MSC 459; Cookies available in the lounge at 3:30pm.
April 25, 2014
Dr. Marie Snipes, Kenyon College
April 18, 2014
Dr. Alan Nathan, University of Illinois
April 11, 2014
Dr. Alessandro Ottazzi, Fondazione Bruno Kessler
March 28, 2014
Dr. Rui Feng, University of Pennsylvania
Title: Borrowing and Renewing Phase Information in Genetic Studies
Abstract: The majority of current genetic studies have been focused on finding disease-associated polymorphisms. However, how multiple polymorphisms jointly function is more important to truly understand gene functions and causes of diseases. Such valuable information, partially contained in the combination of alleles on a single chromosome, has been largely neglected. In this talk, I will show how the phase or haplotype inferencecanbe effective for identifying disease-causing loci and introduce our proposed methods in three completely different studies. The performance and utility of these methods have been evaluated in simulations and real studies. Our innovative methods have demonstrated additional population information and power gain, improving our ability to determine the role of genomic variations in human diseases.
March 21, 2014
Dr. Sharon Senk, Michigan State University
Title: Mathematics Teacher Education: Lessons learned from cross-national and national surveys
Abstract: In this talk I will share data from two recent surveys of mathematics teacher preparation that provide an opportunity to understand how teacher education varies within the U.S. and how it compares to the preparation of mathematics teachers in 16 other countries.
About the speaker: Dr. Sharon Senk, Mathematics Education Professor Michigan State University (PhD, University of Chicago)
Sharon Senk is a Professor in the Mathematics Department and the Program in Mathematics Education. Her primary research interests are the learning and teaching of secondary school mathematics, the nature of assessment in high school mathematics classrooms, and the mathematical preparation of elementary and secondary teachers. She currently is the Principal Investigator (PI) of a Collaborative Research Project with Yukiko Maeda and Jill Newton at Purdue University called Preparing to Teach Algebra: A Study of Teacher Education. She also serves as Co-PI of the Teacher Education Study in Mathematics (TEDS-M) and as a Consultant on Evaluation to the Secondary Component of the University of Chicago School Mathematics Project (UCSMP).
March 7, 2014
Dr. Miodrag C Iovanov, University of Iowa
Title: On invariants in representation theory
Abstract: We discuss and recall several classical invariants in representation theory. The representations of an algebra A provide a good tool to gain insight on the structure of A. For group algebras, Lie algebras, algebraic groups, Hopf algebras, the representations have ring structures that make for a stronger invariant, but which can still fail to distinguish even between some small groups. Frobenius-Schur (FS) indicators are very good invariants of group representations that have the advantage that they can be generalized to any nice enough tensor category. For groups, these indicators are always integers, and it was believed they should be so for braided categories - that is, in situations when the tensor product of representations is "commutative". We give an overview if some recent results on indicators for Drinfeld doubles of groups D(G); this is important since D(G) are in some sense the algebras closest to group algebras and which have braided categories, and on the other hand they cover a generic braided situation. We show that integrality of the FS indicators is false in general, but it is however true for D(G) of symmetric groups, certain classes of p-groups, simple groups, etc.; we mention some open questions that arise here and could offer insights on the representation theory and combinatorial properties of some classes of groups.
February 28, 2014
Dr. Dilum P De Silva, Bowling Green State University at Firelands
Title: The Lind-Lehmer constant for groups of the form Z_p^2
Abstract: click here
January 31, 2014
Dr. Xiu Ye, University of Arkansas at Little Rock
Title: A New Class of Finite Element Methods: Weak Galerkin Methods
Abstract: When the classic continuous finite element methods cannot meet the needs of modern computational techniques such as hp adaptive and hybrid meshes, discontinuous piecewise polynomials are used in the finite element procedures. This presentation will study the finite element methods that use totally discontinuous approximation functions. Discontinuous Galerkin (DG) methods are such kind methods including IPDG methods, LDG methods and HDG methods. DG methods enforce the continuity of the approximation solutions cross elements by either tuning the penalty parameters or introducing additional equations. The weak Galerkin (WG) finite element method provides a framework for handling discontinuous functions. This general framework will provide a platform for deriving new methods and simplifying the existing methods.
November 15, 2013
Dr. Sean Li, University of Chicago
Title: Coarse differentiation of Lipschitz functions
Abstract: Bates, Johnson, Lindenstrauss, Preiss, and Schechtman introduced a notion of large scale differentiation. We discuss an extension of this to the nonabelian setting of Lipschitz maps between Carnot groups and it's application in quantitative nonembeddability.
November 8, 2013
Dr. Dan Burghelea, Ohio State University
Title: Data Analysis, Persistent Homology and Computational Morse Theory
Abstract: I will explain how topology/geometry, via ideas from Morse theory, proposes to bring some light in often very unstructured and large amount of data we get addicted to collect. I will also indicate how this process suggests new mathematics
November 1, 2013
Dr. Deane Arganbright, Divine Word University (Papua New Guinea)
Title: Creative Mathematical Visualization, Modeling, and Interdisciplinary Applications via Spreadsheets
Abstract: A spreadsheet, such as Microsoft Excel, is a creative instrument for the mathematical disciplines. In the classroom, it closely fits the way in which we typically do mathematics, while giving students experience with the principal mathematical tool of the workplace. We can implement many mathematical concepts and algorithms in Excel in a natural manner. This talk presents a diverse range of animated modeling and visualization applications developed during 30 years of experience in universities around the world. We also provide creative interdisciplinary and multicultural uses, such as using mathematics to create pictorial alphabet books for the national languages of Papua New Guinea. While the talk will provide new ideas for mathematicians, others will also find it readily accessible.
(Additional information: Dr. Arganbright is a 1962 B.S. graduate of BGSU, with a 1967 PhD in finite groups from the U. of Washington. He has held positions at Iowa State U., Whitworth U., and U. of Tennessee at Martin, as well as overseas positions at the U. of Papua New Guinea, Bendigo CAE (Australia), U. of Vienna, KAIST (South Korea), and Divine Word U. (PNG). He has been a pioneer in developing mathematical uses of spreadsheets, and has given presentations in over 25 counties, including 2 MAA Invited hour addresses. Additionally, he has published books and journal articles in this area.)
October 25, 2013
Dr. John P. Nolan, Math/Stat Department, American University, Washongton, D.C.
Title: Stable distributions: models for heavy tailed data
Abstract: Stable distributions are a class of heavy tailed probability distributions that generalize the Gaussian distribution and that can be used to model a variety of problems. An overview of univariate stable laws is given, with emphasis on the practical aspects of working with stable distributions. Then a range of statistical applications will be explored. If there is time, a brief introduction to multivariate stable distributions will be given.
October 18, 2013
Dr. Daniel Farley, Department of Mathematics, Miami University
Title: The lower algebraic K-theory of Hilbert modular groups
October 4, 2013
Dr. Kaibo Wang, Tsing Hua University
Title: Engineering Knowledge Driven Statistical Modeling for Spatial Data
Abstract: In certain complex manufacturing systems, the quality of a product is adequately characterized by a high-dimensional data map rather than by single or multiple variables. Such data maps also preserve unique spatial structures. Therefore, variation pattern analysis and statistical modeling based on the data map become very important for enhanced process understanding and quality improvement.
Using a real wafer example from semiconductor manufacturing and a carbon nano tube example from nano-manufacturing, we demonstrate how statistical models can be developed by incorporating engineering knowledge. In the wafer example, a three-stage hierarchical model is proposed. The wafer surface variation is decomposed into the macro- and micro-scale variations, which are modeled as a cubic curve and a first-order intrinsic Gaussian Markov random field, respectively. In the carbon nano tube example, a piece-wise polynomial model with spatial auto-regressive disturbance is developed. These examples show that engineering knowledge driven statistical modeling can play an important role in quality control of complex systems, and is also a promising area for statistical research.
September 27, 2013
Dr. Martin Mohlenkamp, Department of Mathematics, Ohio University
Title: If the Multiparticle Schrodinger Equation were easy to solve, then Chemistry would be too boring to support life.
Abstract: The multiparticle Schrodinger equation is the basic governing equation in quantum mechanics. Many person-centuries and cpu-millennia have been spent constructing approximate solutions to it. We should be glad it is so hard to solve because its subtle behavior allows the rich Chemistry upon which life depends.
I will describe the multiparticle Schrodinger equation and explain (some of) the reasons it is difficult to solve:
high-dimensionality, antisymmetry, scaling to large systems, inter-particle cusps, singular potentials and nuclear cusps, odd function spaces, etc. I will also describe our efforts to overcome these difficulties.
September 13, 2013
Dr. Artem Zvavitch, Department of Mathematical Sciences, Kent State University
September 6, 2013
Dr. Robert Gramacy, School of Business, University of Chicago
Title: Estimating Player Contribution in Hockey with Regularized Logistic Regression
Abstract: We present a regularized logistic regression model for evaluating player contributions in hockey. The traditional metric for this purpose is the plus-minus statistic, which allocates a single unit of credit (for or against) to each player on the ice for a goal. However, plus-minus scores measure only the marginal effect of players, do not account for sample size, and provide a very noisy estimate of performance. We investigate a related regression problem: what does each player on the ice contribute, beyond aggregate team performance and other factors, to the odds that a given goal was scored by their team? Due to the large-p (number of players) and imbalanced design setting of hockey analysis, a major part of our contribution is a careful treatment of prior shrinkage in model estimation. We showcase two recently developed techniques -- for posterior maximization or simulation -- that make such analysis feasible. Each approach is accompanied with publicly available software and we include the simple commands used in our analysis. Our results show that most players do not stand out as measurably strong (positive or negative) contributors. This allows the stars to really shine, reveals diamonds in the rough overlooked by earlier analyses, and argues that some of the highest paid players in the league are not making contributions worth their expense.