Professor Konstantina Trivisa has been selected for the Outstanding Director of Graduate Studies (DGS) Award for 2018. Directors of Graduate Studies are critical partners of the Graduate School in shaping graduate education and ensuring the success of graduate students. The Outstanding Director of Graduate Studies Award recognizes exceptional contributions made to graduate education, a graduate program, and/or the graduate student experience in that program.
The award will be presented at the Graduate School’s Annual Fellowship and Award Celebration on Tuesday, May 8, 2018, 3-5 p.m., in the Prince George’s Room of the Adele H. Stamp Student Union.
Congratulations to our Putnam Exam participants. The University of Maryland Putnam Team was ranked 15th among the 575 competing institutions in the highly competitive Putnam mathematics exam on December 2, 2017.
Congratulations to Aaron George, who ranked 39th and Erik Metz who ranked 81st, and to Jason Zou, Justin Hontz and Pratik Rathore, who were ranked among the top 500 students out of 4,638 participants!
If you are an undergraduate student interested in participating in Putnam or you would like to know more about it, please contact Dr. Ebrahimian at . Interested students meet every Wednesday 4-5:30 pm in the Fall semesters to learn problem solving strategies
Girls Talk Math is a two-week summer day camp hosted by the Department of Mathematics at the University of Maryland. The camp will occur weekdays July 9-20, 2018 from 9:00 am - 4:00 pm. Rising-9th to rising-12th grade students who attend high school within driving distance of the University can apply. Camp activities involve learning mathematics outside of the standard curriculum, attending mini-lectures on math, as well as recording and publishing a podcast about a famous female mathematician. Girls Talk Math at UMD is a sister chapter of the Girls Talk Math program at UNC. Visit their website to learn more about the 2016 and 2017 summer camps.
Register for Girls Talk Math here.
The mathematics department mourns the recent passing of two of our Professors Emerti: Jim Owings and Adam Kleppner.
James Claggett Owings, Jr. received his PhD in recursion theory at Cornell in 1966, under the direction of Gerald Sacks. For many years, Jim was one of the leaders of the Maryland logic group. He had 6 PhD students and has (as of current count) 67 mathematical descendents. He passed away on January 12, 2018. He is survived by his wife Jeanne and several children and grandchildren.
Adam Kleppner received his PhD from Harvard in 1960 under the direction of George Mackey. He was one of the founders of the group representations working group at Maryland, and is known for his work on multiplier representations of abelian groups and on the Plancherel formula. A picture of him from the Oberwolfach archives can be found here. After retiring from Maryland, he and his wife moved to Wardsboro, Vermont, where they had spent summers since 1964. He passed away on January 25, 2018, and is survived by his wife Amy and his sons Bram and Caleb.
Congratulations to faculty members Pierre-Emmanuel Jabin and Xuhua He who have been selected as invited speakers at the International Congress of Mathematics in Rio de Janeiro in 2018. P.-E. Jabin is speaking in the areas of Partial Differential Equations (section 10) and Mathematics in Science and Technology (section 17). X. He is speaking in the area of Lie Theory and Generalizations (section 7).
Speaker: Jonathan Christopher Mattingly (Duke)
When: Thursday, April 11, 2019 at 4:00 p.m.
Where: Toll Physics, Lecture Room 1412
Abstract: Quantifying Gerrymandering: A Mathematician Goes to Court
In October 2017, I found myself testifying for hours in a FederalIn October 2017, I found myself testifying for hours in a Federalcourt. I had not been arrested. Rather---I was attempting to quantifygerrymandering using mathematical analysis. I was intrigued by thesurprising results of the 2012 election, wondering if these resultswere really surprising. It hinged on probing the geopolitical structureof North Carolina using a Markov Chain Monte Carlo algorithm.In this talk, I will describe the mathematical ideas involved in ouranalysis. The talk will be accessible and, hopefully, interesting to all,including undergraduates. In fact, this project began as a sequence ofundergraduate research projects, which undergraduates continue to beinvolved with to this day.
Speaker: Jordan Ellenberg (Wisconsin-Madison)
When: Friday, April 27, 2018 at 3:30 p.m.
Where: William E. Kirwan Hall Room 3206
Abstract: One of the most closely watched Supreme Court cases this year is also one of the most mathematical — Gill v.One of the most closely watched Supreme Court cases this year is also one of the most mathematical — Gill v.Whitford, a case about whether the state legislative districts in Wisconsin were drawn to favor Republicans so greatlythat the right of Wisconsin Democrats to representation in the legislature was unconstitutionally diminished. The court will also hear a companion case, Benisek v. Lamone, concerning congressional districts in Maryland, whichare drawn to favor Democrats.
As a native of Maryland, a current resident of Wisconsin, and a mathematician, I’mnaturally following this closely. How can we use mathematics to test whether district boundaries are drawn to favorone party or the other? How much unfairness is too much? And how can people with mathematical, statistical,and computational training participate in the process and help us get to a point where the legal status quo has goodmathematical grounding?
Speaker: Ingrid Daubechies (Duke)
When: Thursday, April 27 at 4pm
Where: William E. Kirwan Hall Room 3206
Abstract: Mathematics for Art Investigation: Mathematical tools for image analysis increasingly play a role in helping art historians and art conservators assess the state of conversation of paintings, and probe into the secrets of their history. the talk will review several case studies, Van Gogh, Gauguin, Van Eyck among others.
Ingrid Daubechies earned her Ph.D. in theoretical physics from Vrije Universiteit Brussel. In addition to seminal advances in time-frequency analysis, she is best known for her breakthroughs in wavelet research and contributions to digital signal processing. Some of the wavelet bases and other computational techniques she developed were incorporated into the JPEG2000 standard for image compression.
Ingrid's career has seen many impressive firsts: the first female full professor of mathematics at Princeton; the first woman the National Academy of Sciences Award in Mathematics in 2000; the first woman president of the International Mathematics Union in 2010; and she is very likely the first and only mathematician to have been granted the title of Baroness by Belgium's King albert II.
Ingrid continues to break new ground in mathematics research, focusing on signal analysis and inverse problems, with applications ranging from fMRI and geophysics to paleontology and fine art painting.
Speaker: Dr. Tomaso Poggio (MIT)
When: Thursday, April 28 at 4pm
Where: John S. Toll Physics Building Room 1412
Abstract: The birth of artificial-intelligence research as an autonomous discipline is generally thought to have been the month long Dartmouth Summer Research Project on Artificial Intelligence in 1956, which convened 10 leading electrical engineers — including MIT’s Marvin Minsky and Claude Shannon — to discuss “how to make machines use language” and “form abstractions and concepts.” A decade later, impressed by rapid advances in the design of digital computers, Minsky was emboldened to declare that “within a generation ... the problem of creating ‘artificial intelligence’ will substantially be solved.”
The problem, of course, turned out to be much more difficult than AI’s pioneers had imagined. In recent years, by exploiting machine learning — in which computers learn to perform tasks from sets of training examples — artificial-intelligence researchers have built special-purpose systems that can do things like interpret spoken language or play professional-level Go games or drive cars using vision. Some of the present excitement is due to realistic expectations for further progress.
There is also a substantial amount of hype. However, systems that are intelligent in narrow domains are being developed.
I will briefly review today’s engineering of intelligence and some of the mathematics underlying it, the mathematics of learning from data. I will also sketch the vision of the MIT Center for Brains, Minds and Machines which strives to make progress on the science of intelligence.
The Inaugural William E. Kirwan Distinguished Undergraduate Lecture
Feuerbach’s Theorem: A Beautiful Theorem Deserves a Beautiful Proof" by Professor Douglas Hofstadter* on April 23rd, 2015 4:00-5:00pm in Physics 1412.
Douglas Hofstadter is a College of Arts and Sciences Distinguished Professor of Cognitive Science at Indiana University, Director of the Center for Research on Concepts and Cognition, and the author of the Pulitzer Prizewinning book, Gödel, Escher, Bach: an Eternal Golden Braid.