NEWS in the Department of Mathematics
Professor Iranian Stanford
First woman to win top math prize
At the awards ceremony of the 2014 International Congress of Mathematicians in Seoul on August 13, 2014, Iranian mathematician Maryam Mirzakhani became the first woman to be awarded the Fields Medal, mathematics' equivalent to the Nobel Prize.
ART AND SCIENCE EXHIBITION
COLLEGE OF NATURAL SCIENCES
For details, go to: https://cns.natsci.colostate.edu/artscience/index.cfm
U.S. News and World Report: Colorado State University Graduate Programs Among Best in the Nation
FORT COLLINS - Colorado State University graduate programs remain among the nation’s best, according to rankings released by U.S. News and World Report in its 2014 Best Graduate Schools edition.
The professional program in the Department of Occupational Therapy in CSU’s College of Applied Human Sciences - designated a “Program of Excellence” by the state of Colorado - holds the No. 6 spot among similar programs nationwide, based on data collected for 2012.
Colorado State’s professional doctoral veterinary medicine program maintained the third slot in the rankings, a position it has held for more than a dozen years. It is also ranked third in the nation in federal research dollars
In addition to its strong showing in health disciplines, CSU’s graduate programs in science, engineering and business also were recognized as some of the best in the nation. Civil engineering and chemistr
this problem by imposing various conditions on the separating surface by adding terms to the objective function and modifying constraints. We solve the problem via semidefinite programming (SDP). Semidefinite programs are more general than linear programs, and can encode certain kinds of quadratic programs (that is, those involving quadratic constraints or a quadratic objective). SDPs can be solved successfully by most interior-point methods, e.g., by the primal-dual path following algorithm. Devising an algorithm that can be applied to diagnosis of neonatal sepsis is an ongoing research agenda.y were both ranked in the top 50 as was the part-time MBA program in the College of Business. The University’s graduate programs in chemical, mechanical and electrical engineering; biological, computer and earth sciences; mathematics; physics; and social work all ranked in the top 100 in their respective categories.
Such strong graduate programs and a highly productive research faculty combine with a commitment to undergraduate education that places CSU 67th among public universities nationwide, according to U.S. News and World Report’s annual America’s Best Colleges rankings released in September 2012.
Colorado State has long been one of the nation’s top performing research universities. Despite significant cutbacks in federal funding in recent years, CSU has grown its annual research spending to about $330 million in Fiscal Year 2012. The research dollars set a new record high for the university and mark the fifth year in a row that spending has exceeded $300 million. This funding comes from a combination of federal, non-federal and local sources.
“Rankings such as these are a good, third-party barometer of how we are doing in the eyes of others. We will always continue to focus on our missions of providing a top-flight education to our students, conducting groundbreaking research and providing service to people throughout Colorado,” CSU President Tony Frank said. “Our job is to make Colorado State University the best public research university out there.”
In 2011-12, the eight colleges that make up CSU awarded more than 6,600 degrees, including 1,576 masters, 235 doctorates
**Reception following lecture in 117 Weber Building from 4:00-5:30pm.
Anthony (Drew) Schwickerath - PhD defense
Date: Thursday, October 23, 2014
Time: 10:00 a.m.
Place: Weber 015
TITLE: Linear Models, Signal Detection, and the Grassmann Manifold
Dr. Michael Kirby
Dr. Chris Peterson
Dr. Louis Scharf
Dr. Richard Eykholt
Traditionally, signal processing has focused on data living in a vector space, typically real or complex space. Commonly used methods such as matched subspace detectors assume a standard linear model and are built upon a sound statistical basis. The associated algorithms are well-behaved, simple to implement, and, as a result, widely used.
Rather than using raw data, other methods aggregate data as a point on a Grassmann manifold. The geometric intuition is appealling; however, examples we have found in the literature which utilize the Grassmann manifold lack the principled rigor and general applicability of their vector space counterparts. We believe that the lack of an appropriate theoretical framework hinders the maturation of signal processing on Grassmann manifolds as a field.
To rectify this, we propose a geometric framework on the Grassmann manifold. In our framework, a generalization of traditional linear subspace models produces a family of Schubert varieties on the same Grassmann manifold as our aggregate data resides. For a broad class of orthogonally invariant functions on pairs of points, we develop analogues of the Euclidean point-to-plane distance and projection of a point to a plane. Simple algorithms are then presented which apply these results to the problems of signal detection and recovery.
The National Research Council offers outstanding fellowship opportunities for graduate, postdoctoral and senior researchers. See www.nationalacademies.org/ra for details and online application.
AMS - MATHEMATICAL IMAGERY
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The International Mathematical Union has started a blog on ranking mathematical journals:
Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
View details at: http://www.nsf.gov/pubs/2012/nsf12018/nsf12018.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click