## A Celebration of Mathematics at UW-Milwaukee

### 50 Years as a Doctoral Research Department

**Friday, October 21**

Welcome Reception & Registration Table

**Time:** 7:00pm

**Location:** UWM Union, Ballroom

2200 E. Kenwood Blvd., Milwaukee, WI 53211

**Google Maps Location**

#### Kick-off Event: Mathematics Lecture

**Time:** 8:00pm

**Location:** UWM Union, Ballroom

2200 E. Kenwood Blvd., Milwaukee, WI 53211

“The Shape of Space”

Featuring Mathematician & Freelance Geometer, **Dr. Jeffrey Weeks**

When we look out on a clear night, the universe seems infinite. Yet this infinity might be an illusion. During the first half of the presentation, computer games will introduce the concept of a multiconnected universe. Interactive 3D graphics will then take the viewer on a tour of several possible shapes for space. Finally, we’ll see how satellite data provide tantalizing clues to the true shape of our universe.

For all participants at the Celebration of Mathematics, along with accompanying family members and friends. The only prerequisites for this talk are curiosity and imagination.

#### Saturday, October 22

Registration table from 8:30am – 9:30am

**Location: **EMS Building, Kulwicki Center, Room E171

3200 N. Cramer St., Milwaukee, WI 53211

**Google Maps Location**

Refreshments provided

#### Research Group Special Sessions

**Time:** 8:30am-12:00pm

**Location: **EMS Building Classrooms, 1st and 4th Floors

3200 N. Cramer St., Milwaukee, WI 53211

**Google Maps Location**

##### Research Groups:

**Algebra:** Contact Prof. Allen Bell

**Room EMS E170**

**Dr. Jason Gaddis**(PhD, 2013; MS, 2009)

Teacher-Scholar Postdoctoral Fellow

Wake Forest University

**9:00-9:20**“Recent results in quantum rigidity”

A difficult problem in algebra is to determine the automorphism group of a particular ring. For example, the full automorphism group of the polynomial ring in three variables is not yet known. On the other hand, quantum rigidity says that automorphism groups of quantum algebras should be small in some sense. In this talk, I will present several examples of this phenomenon and discuss a recent strategy for computing automorphism groups by making use of the discriminant.*Abstract:*

**Dr. Sonia L. Rueda**(PhD, 2002)

Associate Professor of Applied Mathematics

Polytechnical University of Madrid

**9:30-9:50**“On differential subresultants and the factorization of stationary Schroedinger operators”

In 1928, J.L. Burchall and T.W. Chaundy established a correspondence between commuting differential operators and algebraic curves. With the discovery of solitons and the integrability of the KdV equation, by Gardner, Greene, Kruskal and Miura using the inverse spectral methods, their theory found applications to the study of partial differential equations called integrable (or with solitonic type solutions: Sine-Gordon, nonlinear Schrödinger, etc). Burchall and Chaundy had discovered the spectral curve (defined by the so called Burchall and Chaundy polynomial), which was later computed by E. Previato (1991), using differential resultants. The spectral curve allows an algebraic approach to handling the inverse spectral problem for the finite-gap operators, with the spectral data being encoded in the spectral curve and an associated line bundle (Krichever 1977).In this work, we explore the benefits of using differential resultants to compute Burchall and Chaundy polynomials. We review the definition of the differential resultant of two ordinary differential operators and its main properties. We revisit Enma Previato’s result about the computation of the spectral curve of two commuting differential operators using differential resultants. We use these results to establish the appropriate fields where commuting operators have a common factor, which can be computed using differential subresultants.These results will allow us to give new explanations to some well known results related with the celebrated KdV hierarchy. We study some important families of pairs of commuting differential operators of rank one (Gesztesy and Holden), in particular, we study the centralizer of the a Schrödinger operator*Abstract:**L*(*u*) =*∂*2*− u*with u a differential indeterminate (we consider the Schrödinger operator in the stationary case, where*u*=*u*(*x*) and*∂*=*∂/∂x*). Using the differential resultant we describe recursive formulas to compute the defining polynomials of spectral curves associated to*L*(*us*) with potential*us*satisfying the*KdVn*,*n ≥ s*equation.We present an algorithm to factor Schrödinger operators

*L*(*us*)*−λ*with*us*satisfying the*KdVs*equation. Previous results of Brez and Gesztesy and Holden, for hyperelliptic curves, construct factorizations as formulas using*θ*-functions. As far as we know, there are no algorithms to obtain these factors. There are some differential recursive expressions but no final closed formulas are exhibited. The method we are presenting is effective and it points out the fact that closed formulas for factors of the Schrödinger operator over the curve can be obtained using: a global parametrization of the spectral curve (if it exists), and the subresultant formula operator. A key point to have an effective algorithm is to obtain a global parametrization of the curve, and how complicated the expression is depends on the parametrization.These results, apart from allowing a direct computation show that, in order to build the Picard-Vessiot extension PV(

*us*) for*L*(*us*)*− λ*, one can extend the coefficient field to the coefficient field of the curve and then to the Liouvillian extension given by , with satisfying the Ricatti equation =. In this manner, we will describe the Picard-Vessiot fields PV().

**Dr. Pamela Harris**(PhD, 2012)

Assistant Professor of Mathematics

Williams College

**10:00-10:20**“A proof of the Peak Polynomial Positivity Conjecture”

We say that a permutation π = π*Abstract:*_{1}π_{2}· · · π_{n}∈ has a peak at index*i*if . Let P (π) denote the set of indices where π has a peak. Given a set S of positive integers, we define P (S; n) = {π ∈ : P (π) = S}. In 2013 Billey, Burdzy, and Sagan showed that for subsets of positive integers S and sufficiently large n, |P (S; n)| = 2^{n−|S|−1 }where is a polynomial depending on S. They gave a recursive formula for involving an alternating sum, and they conjectured that the coefficients of expanded in a binomial coefficient basis centered at max(S) are all nonnegative. In this talk, we introduce a new recursive formula for |P (S; n)| without alternating sums and we use this recursion to prove that their conjecture is true. This is joint work with Alexander Diaz-Lopez, Erik Insko, and Mohamed Omar.

**Dr. Kenneth Price**(PhD, 1997; MS, 1991)

Professor of Mathematics

Associate Director of the University Studies Program

UW-Oshkosh

**10:30-10:50**“Arrowgrams: Tips and Pointers”

The speaker invented arrowgrams as a way to explain some aspects of graded ring theory to his students. This includes a method to induce gradings on matrix rings, which was developed by S. Dascalescu, B. Ion, C. Nastasescu, and J. Rios Montes and expanded on by A. V. Kelarev, as well as an analogous method to induce gradings on incidence rings introduced by M. Jones. An arrowgram is a secret message puzzle built on vertices connected by arrows, that is, a puzzle built on a directed graph. Some of the arrows are labeled by elements of a group. We call the value of an arrow its grade in order to be consistent with terminology used in graded ring theory. The solver uses a rule based on transitivity to determine the grade of every arrow and find out the secret message.The grade of an arrow is an element of a group, which is called the grading group. An arrowgram with grading group , appeared in a 2011 issue of MAA Focus. This talk will give an account of arrowgram constructions that depend on the choice of the underlying group. Methods from combinatorics and linear algebra will be used.*Abstract:*

**Dr. Shubhangi Stalder**(PhD, 1993)

Professor of Mathematics

UW-Waukesha

**11:00-11:20**“Teaching Mathematics as a ‘Learning Subject’”

This presentation will describe the organization, content, and use of a new e-text that combines Developmental and Intermediate Algebra. I am also currently developing a similar e-text for College Algebra. Traditionally, the material taught in these lower-level math courses is organized in a linear fashion, and the problems tend to reinforce rote, procedural learning, thereby promoting something called a fixed mindset. My texts rearrange and streamline this material, and the newly designed problems promote a growth mindset. These changes promote mathematics as a “learning subject” with room for mistakes and growth instead of a “performance subject” (termed by Jo Boaler, Stanford professor of Math Education). I will share sample materials that help students to observe patterns and to become more comfortable in correctly communicating mathematics.*Abstract:*

**Dr. Hema Gopalakrishnan**(PhD, 1998)

Associate Professor of Mathematics

Sacred Heart University

**11:30-11:50**“An Interdisciplinary Case Study: Which came first, the mutation or the antibiotic?”

The mathematics and biology faculty at Sacred Heart University have developed interdisciplinary case studies for implementation in lower division undergraduate courses. Some of these case studies are directly linked to laboratory activities in specific biology courses. In this talk, I will present a case study based on the Luria-Delbrück fluctuation test that uses concepts from elementary statistics to understand which of two theories is true about bacterial mutations. I will also describe how it has been implemented in elementary statistics and biology classes.*Abstract:*

**Topology & Dynamics:** Contact Prof. Craig Guilbault

**Room EMS E145**

**Dr. Timothy Schroeder**(PhD, 2008)

Associate Professor of Mathematics & Statistics

Murray State University

**9:00-9:20**“The world’s most complicated proof that the complete graph on 5 vertices is non-planar”

This talk will explain how Coxeter groups and corresponding -homology theory can be used to prove that , the complete graph on 5 vertices, is non-planar. The method works for some other graphs, too. Moreover, we will describe how -technology can be used to estimate the genus of a graph.*Abstract:*

**Dr. Hanspeter Fischer**(PhD, 1998; MS 1993)

Professor of Mathematical Sciences

Ball State University

**9:30-9:50**“Word calculus in the fundamental group of the Menger Cube”

The fundamental group of the Menger cube is uncountable and not free, although all of its finitely generated subgroups are free. It contains an isomorphic copy of the fundamental group of every one-dimensional separable metric space and an isomorphic copy of the fundamental group of every planar Peano continuum.*Abstract:*

We give an explicit and systematic combinatorial description of the fundamental group of the Menger cube and its generalized Cayley graph in terms of word sequences. The word calculus, which requires only two letters and their inverses, is based on Pasynkov’s partial topological product representation and can be expressed in terms of a variation on the classical puzzle known as the Towers of Hanoi. This is joint research with Andreas Zastrow (University of Gdańsk, Poland).

**Dr. Paul Fonstad**(PhD, 2012; MS, 2004)

Assistant Professor of Mathematics

Franklin College

**10:00-10:20**“From Recreation to Research”

How do you keep research going when you work at a school where the focus for faculty is on teaching and service? By letting your service inspire you! This talk will examine how I gained research ideas by running a weekly math problem competition and by going to a swim meet, and will discuss the results of the inspired research.

**Dr. David Radcliffe**(PhD, 2001; MS 1991)

Co-Founder & Lead Software Developer at GogyUp

**10:30-10:50**“The Geometry of Domino Tilings”

There are many ways to cover a chessboard with dominoes; 12,988,816 to be precise. But they are all connected by a simple operation, called a flip. The set of all domino tilings of a rectangle is thus a connected graph — two tilings are adjacent if and only if they differ by a flip. We will explore the structure of this graph, and we will see how determinants can be used to enumerate domino tilings.*Abstract:*

**Dr. Michael W. Hero**(PhD, 1990; MS, 1986; BS, 1984)

Lecturer, Department of Mathematics

University of Iowa

**11:00-11:20**“Can We use Minimal Sets to describe Omega Limit Sets of Maps of the Interval”

This talk will introduce two open questions in this setting. One question regards the decomposition of omega limits sets into minimal sets and the other regards a very special approximation of the logistic map by a family of mapping of finite sets. The talk will be very accessible to students.*Abstract:*

**Dr. Carrie Tirel**(PhD, 2010)

Associate Professor

UW-Fox Valley

**11:30-11:50**“Finding boundaries for the Baumslag-Solitar groups” (tentative)

**Statistics, Probability, & Actuarial Science: **Contact Prof. Jay Beder

**Room EMS E160**

**Dr. Maya Zhelyazkova**(PhD, 2007)

Assistant Professor

Sofia University

**9:00-9:20**Maya Zhelyazkova (Sofia University) “A Bayesian Spatial Analysis of Mumps Data in Bulgaria”

Bayesian spatial methods have been widely applied in different scientific areas such as epidemiological studies, image processing, fMRI data analysis and many others. We will apply Bayesian hierarchical model with conditionally autoregressive (CAR) prior to a collection of weekly mumps data from 2000-2008 in Bulgaria. We will generate a disease mapping of the crude standardized incidence ratio(SIR) across all regional centers. Similar mappings will also be produced for the smoothed relative risk. The combination of methods for estimates of the relative risk is a powerful tool to identify high risk regions and may be used to inform local policies and programs.*Abstract:*

**Dr. Justin Jacobs**(MS, 2005)

Principal Research Statistician

Sandia National Laboratories

**9:30-9:50**“Nonparametric Bayesian Density Estimation on Riemannian Manifolds”

When continuous data are observed on a Riemannian manifold, the ability to estimate a density is contingent on the properties of the manifold. Instead of performing density estimation using extrinsic methods, we propose a intrinsic method for estimating a density on a manifold of interest. Assuming the density function is contained in the class of square integrable functions on the manifold we defer to the spectral properties under the Laplace-Beltrami equation defined using a particular local coordinate chart. An example on well-known spaces will be investigated.*Abstract:*

**Dr. John Wood**(PhD, 2012)

Advanced Analytics Director

HumanaOne

**10:00-10:20**“Unbiased Generalized Linear Models”

We use the quasi-likelihood methodology to fit generalized linear models so that the model prediction satisfies certain moment conditions for arbitrary mean, link, variance or quasi-likelihood functions. We unify the quasi-likelihood method and method of moments. When restricted to the classical exponential family of univariate distributions and their likelihood functions, the link functions that we derive are the classical canonical link functions. We apply a log-linear or factor model to simulated loss data and a truncated exponential mean model to simulated right censored survival data.*Abstract:*

**Dr. Ram Adhikari**(PhD, 2015)

Assistant Professor, Department of Math & Physical Science

Rogers State University

**10:30-10:50**“An Extended Euler-Maruyama Method For a Class of Stochastic Differential Equations”

In this work we introduce a new class of weak numerical schemes (We call it Extended Euler-Maruyama scheme) for solving systems of Itô stochastic differential equations (SDEs). Weak order of convergence one is established under the suitable conditions. We also discuss about the numerical performance of our method with some examples. The proposed weak Extended Euler-Maruyama scheme has the potential to overcome some of the numerical instabilities that are often experienced when using explicit Euler method.*Abstract:*

**Dr. Ranadeera Samanthi**(PhD, 2016)

Assistant Professor of Actuarial Science & Statistics

Central Michigan University

**11:00-11:20**“Comparing the Riskiness of Dependent Portfolios”

A nonparametric test based on nested L-statistics to compare the riskiness of portfolios was introduced by Brazauskas, Jones, Puri, and Zitikis (2007). In this work, we investigate how the performance of the test changes when insurance portfolios are dependent. To achieve that goal, we perform a simulation study using spectral risk measures. Further, three insurance portfolios are generated, and their interdependence is modeled with the three-dimensional elliptical copulas. It is found that the presence of comonotonicity makes the test liberal for all the risk measures under consideration. We illustrate how to incorporate such findings into sensitivity analysis of decisions.*Abstract:*

**Dr. Daoping Yu**(PhD, 2016)

Assistant Professor of Actuarial Science & Mathematics

University of Central Missouri

**11:30-12:00**“Model Uncertainty and Selection in Operational Risk Modeling”

Model uncertainty arising from different ways treating the operational loss data collection threshold is investigated. Asymptotic normality of Value-at-Risk (VaR) estimates is established using the Delta method and asymptotic normality of Maximum-Likelihood-Estimation parameter estimates. Evaluating the probability of overestimation/underestimation of the true target VaR in exponential and Lomax models, the truncated modeling approach turns out to be theoretically sound, while the shifted and naive approaches are fundamentally flawed. Using industry data of the external fraud type of event in the retail banking business line across major commercial banks in China for case study, the truncated lognormal, Lomax and Champernowne models are compared. They all pass visual inspection of Quantile-Quantile plots as well as model validation by the Kolmogorov-Smirnov test and the Anderson-Darling test. However, they produce quite different VaR estimates. In the model selection procedure, those models are compared using Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Information Complexity (ICOMP).*Abstract:*

**Analysis, Applied Math, & Computational Math: **Contact Prof. Peter Hinow

**Room EMS E130**

**Dr. Saeed Dubas**(PhD, 1999)

Associate Professor

Department of Mathematics, and Electrical & Computer Engineering

University of Pittsburgh at Titusville

**9:00-9:20**“High Order Schemes for a Class of Cavity Flow Problems”

Numerical Schemes of high order accuracy are developed for solving a class of incompressible, steady state Navier Stokes equations for cavity flow problems. The methods are efficient and reliable to obtain solutions over a range of Reynold’s numbers which are in good agreement with other studies.*Abstract:*

**Dr. Mark Iwen**(BS, 2002)

Assistant Professor of Mathematics & Engineering

Michigan State University

**9:30-9:50**“Group Testing: From Syphilis to Sparse Fourier Transforms”

Periodic functions with a relatively small number of energetic Fourier coefficients appear in many applications including communication protocols, image processing problems, and numerical methods for solving some partial differential equations. In this talk we will discuss some algorithms for recovering such functions more quickly than possible via traditional discrete Fourier transform methods. In the process we will encounter world war two history, number theory, combinatorics, error correcting codes, and movie stars.*Abstract:*

**Brian Barkley**(MS, 2012)

PhD Student, UNC-Chapel Hill Biostatistics**10:00-10:20**“Causal Inference from Observational Studies with Partial Interference”

Inferring causal effects from an observational study is challenging because participants are not randomized to treatment. Observational studies in infectious disease research include the additional challenge that one participant's treatment may affect another participant's outcome, i.e., there may be interference. In this paper we will discuss recent approaches to defining causal effects in the presence of interference and propose a new class of causal estimands based on counterfactual propensity scores. Inverse probability-weighted estimators for these estimands are considered. The large sample properties of the estimators are derived, a simulation study showing the finite sample performance of the estimators is presented, and the proposed methods are illustrated by analyzing data from a study of cholera vaccination in over 100,000 individuals in Matlab, Bangladesh.*Abstract:*

**Dr. Ahmed Zayed**(PhD, 1979)

Chair and Professor, Department of Mathematical Sciences

DePaul University

**10:30-10:50**“On Fractional Fourier Series and Integrals”

Fourier series and integrals play an important role in many branches of science and engineering. Recently, fractional Fourier series and integrals have been introduced in several interesting applications in optics and signal processing. In this talk we will give a quick review of these fractional series and integrals and then report on some new results.*Abstract:*

**Dr. Michael Karls**(Ph.D, 1993)

Chairperson and Professor of Mathematical Sciences

Ball State University

**11:00-11:20**“Modeling a Diving Board”

The beam equation is a classic partial differential equation that one may encounter in an introductory course on boundary value problems or mathematical physics, which can be used to describe the vertical displacement of a vibrating beam. A diving board can be thought of as a cantilever beam, which is a bar with one end fixed and the other free to move. Using a video camera and physics demonstration software to record displacement data from a vibrating cantilever beam, we verify a modified version of the beam equation that incorporates damping and a forcing term.*Abstract:*

**Dr. Sarah Patch**(PhD, 1994)

Professor of Physics

University of Wisconsin-Milwaukee

**11:30-11:50**“Thermoacoustics and the Spherical Radon Transform”

Applications of thermoacoustics require solving inverse acoustic source problems. The forward solution to the wave equation can be written in terms of spherical means of the acoustic source.Ultrasound reflection tomography motivated Norton and Linzer to derive series solutions for the inverse problem for specific measurement geometries. Concurrent experimental research on thermoacoustic phenomena neglected the mathematics of image reconstruction, although the idealized mathematical models were essentially identical. Early thermoacoustic tomography systems reconstructed via filtered backprojection, applying the filter and weights of the standard (planar) Radon transform but accounting for the spherical integration surface during backprojection. This approach causes low-frequency shading across the image volume, but was sufficiently accurate near the origin.*Abstract:*Mathematically exact approaches to image reconstruction from a wide range of measurement geometries have been developed, primarily by members of the mathematical community. Image reconstruction is not currently a limiting factor in the development of thermoacoustic imaging. Understanding the thermoacoustic contrast mechanisms is required before thermoacoustic techniques can be translated into the clinic. For instance, just as xray CT projections are highly dependent upon the energy of the irradiating xrays, thermoacoustic signal production is as a function of irradiation frequency. Additionally, clinical ultrasound arrays rarely provide sufficient coverage to collect mathematically complete data. Finally, experimental constraints cause measured data to deviate from that modeled by the spherical Radon transform.

#### Panel Discussion: Non-Academic Careers

**Time:** 2:00-4:00 pm

**Location: **Zelazo Center, Room 250

2419 E. Kenwood Blvd., Milwaukee, WI 53211

**Google Maps Location**

**Speakers:** Alumni and/or professionals in non-academic mathematics careers

**Dr. Justin Jacobs**(MS, 2005)

Principal Research Statistician

Sandia National Laboratories

Dr. Justin Jacobs is currently a Principal Research Statistician at Sandia National Laboratories in Livermore, CA. Prior to his work at Sandia, Dr. Jacobs served as a mathematical statistician for over eight years at the National Security Agency with a core research emphasis in studying manifold-valued data for the efforts of geolocation and position, navigation, and timing (PNT). Through his work at advancing the field of spatio-temporal statistics on manifolds, Dr. Jacobs became a recipient of the Presidential Early Career Award in Science and Engineering (PECASE) in 2014; the first ever awarded to a member of the National Security Agency in its 60 year history. Dr. Jacobs also has patents in the field of statistical geolocation as well as the Intelligence Community Seal Medallion from the Office of the Director of National Intelligence for his direction on advancing geolocation research. Dr. Jacobs has a PhD in statistics from the University of Maryland, Baltimore County with an emphasis in the field of nonparametric Bayesian statistics and Riemannian geometry.*Bio:*

**Dr. Philippe Loustaunau**(PhD, 1988; MS, 1985; BS, 1983)

Managing Director

Vista Consulting LLC

Dr. Philippe Loustaunau is the Managing Director of Vista Consulting LLC, a small technology company that develops applications of “big data”, advanced mathematical, statistical, machine learning, and language processing techniques to provide deeper understanding, predictive analytics, and decision support in the security domain. Vista Consulting helps R&D Government clients execute scientific research programs. Our services include scientific assessment, technology evaluation, prototype development, and test planning. For commercial clients Vista Consulting develops data-driven applications. Our services include data collection and processing, algorithm development, software engineering, and custom web-based platform development. Vista Consulting brings together a team of data scientists, experts in conflict and security data, algorithm, software, and website developers to deliver web-based, data-driven applications to our clients.*Bio:*

**Dr. Milan Lukic**(PhD, 1996)

Associate Editor

American Mathematical Society/Mathematical Reviews

I was born in Yugoslavia in 1957. After receiving a BS degree in Mathematics from University of Belgrade I spent several years as a high-school teacher. Eventually, I completed the MS in mathematics (also in Belgrade) and shortly after that I came to US to continue my graduate studies I studied at Maharishi International University (1989–1991), where I received my second Masters, and then at UW-Milwaukee (1991–1996), the Ph.D. My research interests have been in the area of stochastic processes. After several temporary teaching positions at US universities (University of Wisconsin-Oshkosh, Viterbo University, University of Northern Colorado, and Saint Mary’s University of Minnesota, Winona, MN), I became an Associate Editor at Mathematical Reviews (MR), in June of 2008. My primary areas of responsibility at MR have been probability and stochastic processes (MSC 60) and statistics (MSC 62).*Bio:*

**Dr. Hans-Jürgen Petersen**(PhD, 1997; MS, 1991)

Vice President

Compass Lexecon

Dr. Hans-Jürgen Petersen is a vice president at Compass Lexecon, an economic litigation consulting firm. He specializes in the empirical analysis of large data sets and has expertise in the valuation of futures, options, and other financial derivatives. Dr. Petersen has provided written and oral testimony to the State of New York Public Service Commission, the State of Illinois Department of Public Aid, the United States District Court for the Southern District of New York, and the United States District Court for the District of New Jersey.*Bio:*

After undergraduate and graduate studies in Mathematics at the Universität Ulm in Germany, Dr. Petersen received a Ph.D. and an M.S. in Mathematics from the University of Wisconsin, Milwaukee. Before joining Compass Lexecon in 1998, Dr. Petersen was a visiting instructor and assistant professor in the Department of Mathematical and Computer Sciences at Loyola University of Chica.

**Chris Mooney**(PhD, 2008)

Software Developer

Epic Systems

I graduated with a Ph.D. in Mathematics from UWM in 2008, followed by a 3-year postdoc at the University of Michigan and then 3 years as a tenure-track professor at Bradley University in Peoria, IL. Now I am a Software Developer at Epic in Verona, WI. The fast-paced industry of electronic medical records is full of challenging technical problems. As such, it is an excellent fit for experienced problem solvers. Although I am not directly using formal Mathematics in my current role, my 10-odd years in academic mathematics taught me valuable skills which are critical to my daily work, including visualizing abstract concepts, addressing ill-defined problems, presenting complex solutions to others, and technical writing.*Bio:*

#### Banquet featuring Mathematics Graduate Alums & Emeritus Faculty

**Time:**

- 6:00-7:30pm – Cocktail Hour;
- 6:30-7:30pm –
**Flashback to the Past: UWM Math Throughout the Years**; - 7:30-9:30pm – Dinner

**Location: **Zelazo Center, Room 250

2419 E. Kenwood Blvd., Milwaukee, WI 53211

**Google Maps Location**

#### Optional Late Night Social Event

##### 50 Years of Mathematics at UWM Celebration:

A performance by **UWM Alumnus Mike Hero** **& his band Faded** from Omaha, Nebraska and

*from Carroll, Iowa.*

**The Young Funk****Time:**9:30pm

**Location:**Linneman’s Riverside Inn

1001 E. Locust St, Milwaukee, WI 53212

**Google Maps Location**

A **Cover Charge of $5** will be collected at the venue.

***This optional social event is separate from the UWM sponsored portion of the weekend***

**Sunday, October 23**

#### Lake Park Walking Tour with **Emeritus Professor Gil Walter**

http://lakeparkfriends.org/

**Time: **Sunday, 10:00am-11:00am

**Meeting Location:** Lake Park Playground

3233 E. Kenwood Blvd., Milwaukee, WI 53211

Map with Location

#### Attractions Near UW-Milwaukee

- Urban Ecology Center – http://urbanecologycenter.org/
- Estabrook Park Beer Garden – http://www.estabrookbeergarden.com/
- Hubbard Park Beer Garden – http://www.hubbardparkbeergarden.com/
- Lakefront Brewery – http://www.lakefrontbrewery.com/
- Milwaukee Art Museum – http://mam.org/
- Discovery World – http://www.discoveryworld.org/