Distinguished Lecture
http://www.maa.org/taxonomy/term/592/0
enThe Many Names of (7,3,1) and the Unity of Discrete Mathematics
http://www.maa.org/meetings/calendar-events/the-many-names-of-731-and-the-unity-of-discrete-mathematics
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>Ezra "Bud" Brown, Virginia Tech</strong><br />
<strong>Wednesday, September 21, 2011</strong></p>
<p><img alt="Ezra Brown" src="/sites/default/files/images/dist-lecture/ebrown.jpg" style="font-size: 14px; line-height: 17.015625px; float: left; margin-right: 5px; margin-left: 5px; height: 125px; width: 125px;" /></p>
<p><strong>Abstract: </strong>In the world of discrete mathematics, we encounter a bewildering variety of topics with no apparent connection between them. There are block designs in combinatorics, finite projective planes in geometry, round-robin tournaments and map colorings in graph theory, (0, 1)- matrices in linear algebra, quadratic residues in number theory, error-correcting codes on the internet, and the torus at the doughnut shop.</p>
<p>But appearances are deceptive, and this talk is about the (7,3,1) design, a single object with many names that connects all of these topics. Along the way, we'll learn how Leonhard Euler was once spectacularly wrong, how P. J. Heawood was almost completely right, and what happened when Richard Hamming got mad at a computer.</p>
<p><a href="/meetings/calendar-events/the-many-names-of-731-and-the-unity-of-discrete-mathematics" title="The Many Names of (7,3,1) and the Unity of Discrete Mathematics">Read more about Bud Brown's lecture</a></p>
<hr />
</div></div></div>Math in the Movies
http://www.maa.org/meetings/calendar-events/math-in-the-movies
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>Tony DeRose, Pixar </strong></p>
<p><strong>Abstract: </strong>Film making is undergoing a digital revolution brought on by advances in areas such as computer technology, computational physics, geometry, and approximation theory. Using numerous examples drawn from Pixar's feature films, this talk will provide a behind the scenes look at the role that math plays in the revolution.</p>
<p><img alt="MAA Distinguished Lecture: Tony DeRose" src="/sites/default/files/images/TonyDeRose.jpg" style="font-size: 14px; line-height: 17.015625px; margin: 5px; float: left; width: 100px; height: 120px;" title="MAA Distinguished Lecture: Tony DeRose" /></p>
<p><strong>Biography: </strong>Tony DeRose is currently a Senior Scientist and lead of the Research Group at Pixar Animation Studios. He received a BS in Physics in from the University of California, Davis, and a Ph.D. in Computer Science from the University of California, Berkeley. From 1986 to 1995 Dr. DeRose was a Professor of Computer Science and Engineering at the University of Washington. In 1998, he was a major contributor to the Oscar winning short film "Geri's game", in 1999 he received the ACM SIGGRAPH Computer Graphics Achievement Award, and in 2006 he received a Scientific and Technical Academy Award for his work on surface representations.</p>
<p><a href="/meetings/calendar-events/math-in-the-movies" title="Math in the Movies">Read more about Tony DeRose's Lecture</a></p>
<hr />
</div></div></div>Mathematics and Robotics
http://www.maa.org/meetings/calendar-events/mathematics-and-robotics
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>Florian Potra, University of Maryland Baltimore County</strong></p>
<p><strong>Abstract: </strong>Robots have been with us for only half a century, but the idea of man made mechanisms that can work and think goes back to ancient civilizations. The lecture presents the most important historical developments in robotics, emphasizing its interplay with mathematics. The first part of the lecture summarizes the pioneering work of Heron of Alexandria, Philo of Byzantium, Al-Jazari, Leonardo da Vinci, and other scientists up to the twentieth century. The second part is dedicated to artificial intelligence and the mathematical tools involved. The lecture concludes with the latest developments in robotics, and presents some open research problems in engineering, computer science, and mathematics, that need to be solved in order to fulfill the long standing promises of robotics.</p>
<p><img alt="MAA Distinguished Lecture: Florian Potra" src="/sites/default/files/images/dist-lecture/potra.jpg" style="font-size: 14px; line-height: 17.015625px; margin: 5px; float: left; width: 150px; height: 198px;" title="MAA Distinguished Lecture: Florian Potra" /></p>
<div>
<strong style="font-size: 14px; line-height: 1.25em;">Biography: </strong><span style="font-size: 14px; line-height: 1.25em;">Florian Potra earned a Ph.D. in Mathematics from the University of Bucharest, Romania. After an Andrew Mellon Postdoctoral Fellowship at the University of Pittsburgh, he joined the faculty of the University of Iowa, first as an Associate Professor of Mathematics, and then as a Professor of Mathematics and Computer Science. Between 1997-1998, he served as a Program Director in Applied and Computational Mathematics at the National Science Foundation. Since 1998 he has been a Professor of Mathematics and Statistics at the University of Maryland Baltimore County. He is also a Faculty Appointee at the Mathematical and Computational Sciences Division of The National Institute of Standards and Technology. Dr. Potra has published over 120 research papers in prestigious professional journals. He is the Regional Editor for the Americas of the journal "Optimization Methods and Software", and serves on the editorial board of three other well known mathematical journals.</span></div>
<p><a href="/meetings/calendar-events/mathematics-and-robotics" title="Mathematics and Robotics">Read more about Florian Potra's lecture</a></p>
<hr />
</div></div></div>Aspects of Chaos
http://www.maa.org/meetings/calendar-events/aspects-of-chaos
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>James A. Yorke, University of Maryland</strong><br />
<strong>Thursday, November 17, 2011</strong></p>
<p><strong>Abstract: </strong>Chaos is a real-world phenomenon that arises in many different contexts, making it difficult to tell exactly what chaos is. Yorke will give examples of the aspects of chaos.</p>
<p><strong style="line-height: 1.25em;"><img alt="" src="/sites/default/files/images/dist-lecture/jyorke.jpg" style="width: 208px; height: 208px; float: left; margin: 5px;" />Biography: </strong><span style="line-height: 1.25em;">James A. Yorke earned his bachelor's degree from Columbia University in 1963. He came to the University of Maryland for graduate studies, in part because of interdisciplinary opportunities offered by the faculty of the Institute for Physical Sciences and Technology (IPST). After receiving his doctoral degree in 1966 in Mathematics, Yorke stayed at the University as a member of IPST. Today he holds the title of Distinguished University Professor and also is a member of the Mathematics and Physics Departments.</span></p>
<p>Professor Yorke's current research projects range from chaos theory and weather prediction and genome research to the population dynamics of the HIV/AIDS epidemic. He is perhaps best known to the general public for coining the mathematical term "chaos" with T.Y. Li in a 1975 paper entitled "Period Three Implies Chaos," published in the <em>American Mathematical Monthly</em>. "Chaos" is a mathematical concept in nonlinear dynamics for systems that vary according to precise deterministic laws but appear to behave in a random fashion.</p>
<p><a href="/meetings/calendar-events/aspects-of-chaos" title="Aspects of Chaos">Read more about James Yorke's lecture</a></p>
<hr />
</div></div></div>Spinning Heads and Spinning News: The Use and Abuse of Statistics in the Media
http://www.maa.org/meetings/calendar-events/spinning-heads-and-spinning-news-the-use-and-abuse-of-statistics-in-the-media
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>Rebecca Goldin, George Mason University</strong><br />
<strong>Tuesday, October 28, 2008 </strong></p>
<p><b>Abstract: </b>News increasingly depends on a careful dissection of numbers. Statistics are everywhere, from how many people lack health insurance to how to improve math education. Yet for being so prevalent, statistics are badly understood by the general public.</p>
<p>Mark Twain popularized the quote that "There are three kinds of lies: lies, damn lies, and statistics." While this quote suggests the scary idea that statistics can be manipulated to say anything, I will argue that statistics can tell us lots of useful things when used appropriately, and that the more the media does this for us, the more educated we can be as news consumers, and the better we will be at truly evaluating risk for ourselves and others.</p>
<p>In this talk, I'll illustrate how the press can misuse and even abuse statistics using examples of news coverage. Since news sources are the main avenue by which the public understands many public health issues, these misguided representations of science can actually shape public policy, legislation, and individual choices. We will see why it is so important that media writers understand basic concepts from statistics, epidemiology and even toxicology. I will also show how powerful the work can be when the press goes beyond politics and morality to point out what science says, what it doesn't, and what it can't.</p>
<p><img alt="MAA Distinguished Lecture: Rebecca Goldin" src="/sites/default/files/images/goldin.jpg" style="font-size: 14px; line-height: 17.015625px; margin: 5px; float: left; width: 125px; height: 166px;" title="MAA Distinguished Lecture: Rebecca Goldin" /></p>
<p><b>Biography: </b>Rebecca Goldin is a professor of mathematics at George Mason University. She received her undergraduate degree from Harvard, and her PhD from MIT. She taught at University of Maryland as a National Science Foundation postdoctoral fellow before joining George Mason in 2001. She currently serves as the Director of Research for Statistical Assessment Service (STATS), a nonprofit media education and watchdog group affiliated with George Mason. When she's not thinking about statistics in the media, she's pursuing her research interests in group actions on manifolds and symplectic geometry. Last year, Goldin won the Ruth I. Michler Memorial Prize for mathematics.</p>
<p><a href="/meetings/calendar-events/spinning-heads-and-spinning-news-the-use-and-abuse-of-statistics-in-the-media" title="Spinning Heads and Spinning News: The Use and Abuse of Statistics in the Media">Read more about Rebecca Goldin's lecture</a></p>
<hr />
</div></div></div>Right Triangles and Elliptic Curves
http://www.maa.org/meetings/calendar-events/right-triangles-and-elliptic-curves
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>Karl Rubin, UC Irvine</strong></p>
<p><strong>Abstract: </strong>Which natural numbers occur as the area of a right triangle with three rational sides? This is a very old question and is still unsolved, although partial answers are known (for example, five is the smallest such natural number). In this talk we will discuss this problem and <span style="line-height: 1.25em;">recent progress that has come about through its connections with other important open questions in number theory.</span></p>
<p><img alt="MAA Distinguished Lecture: Karl Rubin" src="/sites/default/files/images/dist-lecture/Karl_Rubin_bw.jpg" style="font-size: 14px; line-height: 17.015625px; width: 150px; height: 191px; margin: 5px; float: left;" title="MAA Distinguished Lecture: Karl Rubin" /></p>
<p><strong>Biography:</strong> Karl Rubin is the Thorp Professor of Mathematics at the University of California, Irvine. His research deals with elliptic curves and other aspects of number theory. Rubin attended Washington DC public schools, was a Putnam Fellow as an undergraduate at Princeton, and received his Ph.D. from Harvard. He was a professor at Ohio State, Columbia, and Stanford before moving to UC Irvine in 2004. Rubin received the Cole Prize in Number Theory from the American Mathematical Society, a National Science Foundation Presidential Young Investigator award, a Humboldt Research Award, and Guggenheim and Sloan fellowships.</p>
<p><a href="/meetings/calendar-events/right-triangles-and-elliptic-curves" title="Right Triangles and Elliptic Curves">Read more about Karl Rubin's lecture</a></p>
<hr />
</div></div></div>Patterns Patterns Everywhere
http://www.maa.org/meetings/calendar-events/patterns-patterns-everywhere
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>Martin Golubitsky, Ohio State University</strong></p>
<p><strong>Abstract: </strong>Regular patterns appear all around us: from vast geological formations to the ripples in a vibrating coffee cup, from the gaits of trotting horses to tongues of flames, and even in visual hallucinations. The mathematical notion of symmetry is a key to understanding how and why these patterns form. In this lecture Professor Golubitsky will show some of these fascinating patterns and explain how mathematical symmetry enters the picture. </p>
<p><img alt="MAA Distinguished Lecture: Martin Golubitsky" src="/sites/default/files/images/Golubitsky.jpg" style="font-size: 14px; line-height: 17.015625px; width: 125px; margin: 5px; float: left; height: 152px;" title="MAA Distinguished Lecture: Martin Golubitsky" /></p>
<p><b>Biography: </b>Martin Golubitsky is Distinguished Professor of Mathematics and Physical Sciences at the Ohio State University, where, beginning in September, he will serve as Director of the Mathematical Biosciences Institute. He received his PhD in Mathematics from M.I.T. in 1970 and has been Professor of Mathematics at Arizona State University and Cullen Distinguished Professor of Mathematics at the University of Houston.</p>
<p>Dr. Golubitsky works in the fields of nonlinear dynamics and bifurcation theory studying the role of symmetry in the formation of patterns in physical systems and the role of network architecture in the dynamics of coupled systems. His recent research focuses on some mathematical aspects of biological applications: animal gaits, the visual cortex, the auditory system, and coupled systems. He has co-authored four graduate texts, one undergraduate text, two nontechnical trade books, (Fearful Symmetry: Is God a Geometer with Ian Stewart and Symmetry in Chaos with Michael Field) and over 100 research papers.</p>
<p>Dr. Golubitsky is a Fellow of the American Academy of Arts and Sciences, a Fellow of the American Association for the Advancement of Science, and a past President of the Society for Industrial and Applied Mathematics.</p>
<p><a href="/meetings/calendar-events/patterns-patterns-everywhere" title="Patterns Patterns Everywhere">Read more about Martin Golubitsky's lecture</a></p>
<hr />
</div></div></div>Proofs and Confirmations: The Story of the Alternating Sign Matrix Conjecture
http://www.maa.org/meetings/calendar-events/proofs-and-confirmations-the-story-of-the-alternating-sign-matrix-conjecture
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>David Bressoud, Macalester College</strong></p>
<p><strong>Abstract: </strong>What is the role of proof in mathematics? Most of the time, the search for proof is less about establishing truth than it is about exploring unknown territory. In finding a route from what is known to the result one believes is out there, the mathematician often encounters unexpected insights into seemingly unrelated problems. I will illustrate this point with an example of recent research into a generalization of the permutation matrix known as the "alternating sign matrix." This is a story that began with Charles Dodgson (aka Lewis Carroll), matured at the Institute for Defense Analysis, drew in researchers from combinatorics, analysis, and algebra, and ultimately was solved with insights from statistical mechanics. This talk is intended for a general audience and should be accessible to anyone interested in a window into the true nature of research in mathematics.</p>
<p><img alt="MAA Distinguished Lecture: David Bressoud" src="/sites/default/files/images/dist-lecture/bressoud.jpg" style="font-size: 14px; line-height: 17.015625px; width: 125px; height: 190px; margin: 5px; float: left;" title="MAA Distinguished Lecture: David Bressoud" /></p>
<p><b>Biography: </b>David Bressoud is DeWitt Wallace Professor of Mathematics at Macalester College. He served in the Peace Corps, teaching math and science at the Clare Hall School in Antigua, West Indies before studying with Emil Grosswald at Temple University and then teaching at Penn State for 17 years, eight of them as full professor. He chaired the Department of Mathematics and Computer Science at Macalester from 1995 until 2001. He has held visiting positions at the Institute for Advanced Study, the University of Wisconsin-Madison, the University of Minnesota, Université Louis Pasteur (Strasbourg, France), and the State College Area High School.</p>
<p><a href="/meetings/calendar-events/proofs-and-confirmations-the-story-of-the-alternating-sign-matrix-conjecture" title="Proofs and Confirmations: The Story of the Alternating Sign Matrix Conjecture">Read more about David Bressoud's lecture</a><a href="http://www.maa.org/news/092607bressoud.html"> </a></p>
<hr />
</div></div></div>Cryptography: How to Keep a Secret
http://www.maa.org/meetings/calendar-events/cryptography-how-to-keep-a-secret
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>Alice Silverberg, UC Irvine</strong><br />
<strong>Friday, December 8, 2010</strong></p>
<p><strong>Abstract: </strong>When you send your credit card number over the Internet, cryptography helps to ensure that no one can steal the number in transit. Julius Caesar and Mary Queen of Scots used cryptography to send secret messages, in the latter case with ill-fated results. More recently, cryptography is used in electronic voting, and it is also used to "sign" documents electronically. While cryptography has been used for thousands of years, public-key cryptography dates only from the 1970's. Some recent exciting breakthroughs in public-key cryptography include elliptic curve cryptography, pairing-based cryptography, and identity-based cryptography, all of which are based on the number theory of elliptic curves. This talk will give an elementary introduction to cryptography, including elliptic curve and pairing-based cryptography.</p>
<p><img alt="MAA Distinguished Lecture: Alice Silverberg" src="/sites/default/files/images/dist-lecture/silverberg.jpg" style="font-size: 14px; line-height: 17.015625px; padding: 5px; float: left; width: 150px; height: 208px; margin: 5px;" title="MAA Distinguished Lecture: Alice Silverberg" /></p>
<p><strong>Biography: </strong>Alice Silverberg is a Professor of Mathematics and Computer Science at the University of California, Irvine. Her research interests include number theory and cryptography. She graduated summa cum laude in mathematics from Harvard University, and earned a Certificate of Advanced Study from Cambridge and a PhD and a Master's degree in mathematics from Princeton University. Gender equity issues are a long-standing concern of hers, as an outgrowth of her time spent studying at traditionally male institutions. She was awarded Humboldt, Bunting, Sloan, IBM, and NSF Fellowships, and has held a number of visiting or consulting positions in the US and abroad, including at IBM, Bell Labs, Xerox PARC, DoCoMo USA Labs, the Mathematical Sciences Research Institute in Berkeley, the University of Erlangen and the Max Planck Institute in Germany, the Institut des Hautes Études Scientifiques in France, and Macquarie University in Australia. Silverberg consulted for the TV show NUMB3RS, and occasionally writes mathematically-inspired Scottish country dances.</p>
<p><a href="/meetings/calendar-events/cryptography-how-to-keep-a-secret" title="Cryptography: How to Keep a Secret">Read more about Alice Silverberg's lecture</a></p>
<hr />
</div></div></div>Data Mining: Fool's Gold? Or the Mother Lode?
http://www.maa.org/meetings/calendar-events/data-mining-fools-gold-or-the-mother-lode
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>Richard D. De Veaux, Williams College</strong><br />
<strong>Wednesday, April 11, 2012</strong></p>
<p><strong>Abstract: </strong>Can government agencies really track what you are doing? Do credit card companies know what you are going to purchase before you do? And what about social networks? How much of your information do you want available - and what are they doing with it? In this talk, I will share some of my experiences as a data mining and statistical consultant for groups as varied as American Express, the National Security Agency, the office of the Attorney General of Vermont, and the Comptroller's Office of New York State. I'll talk about the methods analysts use to mine these large data repositories, what the limits are, and what the future might hold.</p>
<p><img src="/sites/default/files/images/dist-lecture/deVeux.jpg" style="font-size: 14px; line-height: 17.015625px; float: left; margin: 5px; height: 150px; width: 140px;" /></p>
<p><strong>Biography: </strong>Richard (Dick) D. De Veaux is Professor of Statistics at Williams College. He holds degrees in Civil Engineering (B.S.E. Princeton), Mathematics (A.B. Princeton), Dance Education (M.A. Stanford), and Statistics (Ph.D., Stanford), where he studied with Persi Diaconis.</p>
<p>Before Williams, Dick taught at the Wharton School and the Engineering School at Princeton. He has also been a visiting research professor at INRA (the Institut National de la Recherche Agronomique) in Montpellier, France; the Université Paul Sabitier in Toulouse, France; and the Université René Descartes in Paris. De Veaux has won numerous teaching awards including a "Lifetime Award for Dedication and Excellence in Teaching" from the Engineering Council at Princeton. He has won both the Wilcoxon and Shewell (twice) awards from the American Society for Quality and was elected a fellow of the American Statistical Association (ASA) in 1998. In 2006-2007 he was the William R. Kenan Jr. Visiting Professor for Distinguished Teaching at Princeton University. In 2008 he was named the Mosteller Statistician of the Year by the Boston Chapter of the ASA.</p>
<p><a href="/meetings/calendar-events/data-mining-fools-gold-or-the-mother-lode" title="Data Mining: Fool's Gold? Or the Mother Lode?">Read more about Richard De Veaux's lecture</a></p>
<hr />
</div></div></div>What Can We Say After We Say We're Sorry? or, Adventures in Optimization
http://www.maa.org/meetings/calendar-events/what-can-we-say-after-we-say-were-sorry-or-adventures-in-optimization
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>Margaret H. Wright, Courant Institute of Mathematical Sciences, New York University</strong></p>
<p><strong>Abstract: </strong>Mathematicians believe, correctly, that they are uniquely qualified to answer complicated questions in science and engineering. But it very often happens that such problems are unsolvable or intractable in their original form. Is it acceptable to say politely "I'm sorry; this problem is impossible" and then return to answering questions that can be answered? Or should we do more? How can we do more? This talk, intended for a general audience, will describe, with examples from the speaker's experiences in optimization, how mathematicians can become local heroes after they say they're sorry.</p>
<p><img alt="MAA Distinguished Lecture: Margaret Wright" src="/sites/default/files/images/dist-lecture/wright.jpg" style="font-size: 14px; line-height: 17.015625px; width: 125px; height: 181px; margin: 5px; float: left;" title="MAA Distinguished Lecture: Margaret Wright" /></p>
<p><b>Biography: </b>Margaret H. Wright is Silver Professor of Computer Science and Mathematics and chair of the Computer Science Department in the Courant Institute of Mathematical Sciences, New York University. She received her B.S., M.S., and Ph.D. from Stanford University. Her research interests include optimization, scientific computing, and real-world applications. Prior to joining NYU, she worked at Bell Laboratories (AT&T/Lucent Technologies) and Stanford University. She was elected to the National Academy of Engineering (1997), the American Academy of Arts and Sciences (2001), and the National Academy of Sciences (2005). During 1995-1996 she served as president of the Society for Industrial and Applied Mathematics (SIAM).</p>
<p><a href="/meetings/calendar-events/what-can-we-say-after-we-say-were-sorry-or-adventures-in-optimization" title="What Can We Say After We Say We're Sorry? or, Adventures in Optimization">Read more about Margaret Wright's lecture</a></p>
<hr />
</div></div></div>Modeling Similarity in the Age of Data
http://www.maa.org/meetings/calendar-events/modeling-similarity-in-the-age-of-data
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>Kevin McCurley, Google</strong></p>
<p><strong>Abstract: </strong>The process of applying mathematics to the real world is undergoing a radical change through our ability to gather data at a massive scale. This is particularly true at Google, where we routinely process petabytes of human language, and interact with many millions of users. In this talk I'll describe some surprising realizations that arose from this data while trying to improve part of our search quality. It turns out that everything I thought I knew about similarity was wrong, and I should have been talking to psychologists.</p>
<p><img alt="MAA Distinguished Lecture: Kevin McCurley" src="/sites/default/files/images/KevinMcCurley.jpg" style="font-size: 14px; line-height: 17.015625px; margin: 5px; float: left; width: 100px; height: 133px;" title="MAA Distinguished Lecture: Kevin McCurley" /></p>
<div>
<strong style="font-size: 14px; line-height: 1.25em;">Biography: </strong><span style="font-size: 14px; line-height: 1.25em;">Kevin McCurley is a Research Scientist at Google, where he has worked since 2005. He previously held positions at IBM Almaden Research Center, Sandia National Laboratories, and University of Southern California. He has published in the areas of information retrieval, algorithms, parallel computing, cryptography, and number theory.</span></div>
<p><a href="/meetings/calendar-events/modeling-similarity-in-the-age-of-data" title="Modeling Similarity in the Age of Data">Read more about Kevin McCurley's Lecture</a></p>
<hr />
</div></div></div>Mathematics and Music
http://www.maa.org/meetings/calendar-events/mathematics-and-music
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>James Stewart, University of Toronto</strong><br />
<strong>Tuesday, April 27, 2010</strong></p>
<p><strong>Abstract: </strong>This talk explored some of the connections and analogies between mathematics and music in an attempt to explain why mathematicians tend to be musical.</p>
<p><img alt="MAA Distinguished Lecture: James Stewart" src="/sites/default/files/images/dist-lecture/stewart.jpg" style="font-size: 14px; line-height: 17.015625px; padding: 10px; float: left; width: 150px; height: 186px; margin: 5px;" title="MAA Distinguished Lecture: James Stewart" /></p>
<p><strong>Biography: </strong>James Stewart is Emeritus Professor of Mathematics at McMaster University and Professor of Mathematics at the University of Toronto. He received the M.S. degree from Stanford University and the Ph.D. from the University of Toronto. His research has been in harmonic analysis and his many books include a widely used series of calculus textbooks, which have been translated into a dozen languages. He was concertmaster of the McMaster Symphony Orchestra for many years and also played professionally in the Hamilton Philharmonic Orchestra. One of his greatest pleasures is playing string quartets. Stewart was named a Fellow of the Fields Institute in 2002 and its library is named after him. The James Stewart Centre for Mathematics was opened in 2003 at McMaster University, which awarded him an honorary D.Sc.</p>
<p><a href="/meetings/calendar-events/mathematics-and-music" title="Mathematics and Music">Read more about James Stewart's Lecture</a></p>
<hr />
</div></div></div>Hyperbolic Wallpaper
http://www.maa.org/meetings/calendar-events/hyperbolic-wallpaper
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>Frank Farris, Santa Clara University</strong></p>
<p><strong>Abstract: </strong>What if the universe had an edge? Since “universe” is construed to indicate “all that is,” such an edge would have to be inaccessible, “infinitely far away.”</p>
<p>In this talk, we travel to a hypothetical universe, whose inhabitants, along with all the matter they use to measure their space, shrink as they approach the edge. In this shrinking-ruler universe, that boundary is indeed inaccessible.</p>
<p>The picture of what we call “hyperbolic wallpaper” helps us imagine this cosmos: In the world of the shrinking ruler, all of the peacock fans are exactly the same distance across. All of them. And there are infinitely many copies hidden down there near the edge, unseen by our outsider eyes.</p>
<p><img alt="MAA Distinguished Lecture: Frank Farris" src="/sites/default/files/images/frank_farris.jpg" style="font-size: 14px; line-height: 17.015625px; margin: 5px; float: left; width: 100px; height: 144px;" title="MAA Distinguished Lecture: Frank Farris" /></p>
<p><strong>Biography: </strong>Frank Farris completed a five-year term as editor of Mathematics Magazine in 2005 and now serves again through 2009, aspiring to continue its tradition of challenging and inspiring teachers and students of mathematics at the undergraduate level. A native Californian, Frank did his undergraduate work at Pomona College and received his Ph.D. from M.I.T. in 1981. Awards include a Trevor Evans Award for his article “The Edge of the Universe” in Math Horizons and the David E. Logothetti Teaching Award at Santa Clara University, where he has taught since 1984.</p>
<p><a href="/meetings/calendar-events/hyperbolic-wallpaper" title="Hyperbolic Wallpaper">Read more about Frank Farris's Lecture</a></p>
<hr />
</div></div></div>The Remarkable Interaction between Mathematics and the Computer: Examples Old and New
http://www.maa.org/meetings/calendar-events/the-remarkable-interaction-between-mathematics-and-the-computer-examples-old-and-new
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong style="line-height: 1.25em;">Jill Pipher, Brown University</strong><br />
<strong style="line-height: 1.25em;">Monday, April 30, 2012</strong></p>
<p><strong>Abstract: </strong>The role of experimentation and computation in mathematics is historical, rich, and growing and changing at a remarkable pace. Computers are more than number crunchers: They check hypotheses, make conjectures, enable discoveries, and assist in proofs. While the computer is the primary tool facilitating experimentation, it is not the only source of experimental information bringing new ideas into mathematics. I illustrate these points by describing a collection of fun examples. In the first part of the talk, I'll explain some aspects of this interaction related to my own research interests in public key cryptography. Then I'll give a quick tour of some fundamental and surprising instances of the interaction of mathematics and the computer.</p>
<p><img src="/sites/default/files/images/dist-lecture/pipher.jpg" style="font-size: 14px; line-height: 17.015625px; float: left; margin: 5px; height: 162px; width: 200px;" /></p>
<p><strong>Biography: </strong>Jill Pipher is Professor of Mathematics at Brown University, and Director of the Institute for Computational and Experimental Research in Mathematics (ICERM). She received her Ph.D. from UCLA in 1985, spent five years at the University of Chicago as Dickson Instructor and then Assistant Professor, and came to Brown as an Associate Professor.</p>
<p>Pipher’s research interests include harmonic analysis, partial differential equations, and cryptography. She has published papers in each of these areas of mathematics, co-authored an undergraduate cryptography textbook, and jointly holds four patents for the <a href="http://www.securityinnovation.com/products/encryption-libraries/ntru-cryptography.html">NTRU encryption</a> and digital signature algorithms. She was a co-founder of NTRU Cryptosystems, Inc, now part of Security Innovation, Inc. Her awards include an NSF Postdoctoral Fellowship, NSF Presidential Young Investigator Award, Mathematical Sciences Research Institute Fellowship, and an Alfred P. Sloan Foundation Fellowship. In February 2011, she became President of the <a href="https://sites.google.com/site/awmmath/">Association for Women in Mathematics</a>.</p>
<p><a href="/meetings/calendar-events/the-remarkable-interaction-between-mathematics-and-the-computer-examples-old-and-new" title="The Remarkable Interaction between Mathematics and the Computer: Examples Old and New">Read more about Jill Pipher's lecture</a></p>
<hr />
</div></div></div>