[ugrads] Fwd: [Seminar-coll] Department colloquium Wednesday, March 29th, 1:50-2:55pm
Michael Pelsmajer
pelsmajer at iit.edu
Tue Mar 28 10:32:47 CDT 2017
I believe you were sent this already, but it's pretty exciting and it's not
every day that we get this kind of visitor, so I just wanted to make sure
that you didn't miss it:
---------- Forwarded message ----------
From: Robert Ellis <ellisr at iit.edu>
Date: Mon, Mar 27, 2017 at 7:03 PM
Subject: [Seminar-coll] Department colloquium Wednesday, March 29th,
1:50-2:55pm
To: seminar-coll at math.iit.edu
Please join the Department of Applied Mathematics for our colloquium this
coming Wednesday March 29th at 1:50pm in RE 104 (formerly E1 104).
Information about the undergraduate lunch seminar that you are also invited
to attend appears at the bottom. Please sign up for that immediately (form
link at bottom) if you wish to order a sandwich.
*Time:* Wednesday, March 27, 1:50pm-2:55pm
*Location:* RE 104 (Rettaliata Engineering Center)
Coffee and cookies afterward in RE 112 until 3:30pm
*Speaker:* Aaron Luttman, Manager -- Diagnostic Research and Materials
Studies, Nevada National Security Site
*Title:* Mathematical Methods and Modeling in the National Security Sciences
*Abstract*
While the U.S. Department of Energy has moved to a scientific paradigm
driven by modeling and simulation – and in which experimentation is
motivated primarily by code validation – there is still much to be learned
by analyzing data directly and extracting information from experimental
data by solving inverse problems. In order to quantify the uncertainties
associated with the solutions, however, it is necessary to use statistical
approaches to formulating the inverse problems and to understand the nature
of the uncertainties for which such formulations can correctly account. In
this work we will present data from National Nuclear Security
Administration X-ray imaging experiments related to the stockpile
stewardship program, some inverse problems whose solutions inform the
evolution of our experiments and diagnostics systems, and the challenges
associated with the Bayesian formalisms used to assign error bars to the
information extracted. The discussion will include details of the
experiments themselves, where mathematical data analysts fit into the
experimental programs, the role of mathematical theory in development of
analysis techniques, and results demonstrating the efficacy of solving
statistical inverse problems to drive stockpile stewardship.
This work was authored by National Security Technologies, LLC, under
Contract No. DE-AC52-06NA25946 with the U.S. Department of Energy and
supported by the Site-Directed Research and Development Program.
*Speaker Bio*
Dr. Aaron Luttman began his professional career at a “dot-com” startup in
Minnesota, after receiving degrees in mathematics from Purdue University
and the University of Minnesota. After a detour to Belgium, Aaron returned
to the U.S. and earned his Ph.D. in Mathematics from the University of
Montana, where his research focused on using image processing techniques
for studying plant physiology. After 2 years as an assistant professor at
Bethany Lutheran College in Mankato, MN, and almost 4 years at Clarkson
University in Potsdam, NY, Aaron joined the Nevada National Security Site
(NNSS) in 2011 as a Senior Scientist. Since then, he has served as the
leader for the Signal Processing and Applied Mathematics team, as the North
Las Vegas representative to the NNSS Research & Development program, and as
a technical advisor to the NNSA Office of Defense Programs R&D (NA-113) at
DOE headquarters in Washington, D.C. He is now the manager of the
Diagnostic Research and Materials Studies group, a team of over 30
scientists and engineers developing next-generation diagnostic systems for
stockpile stewardship.
*Undergraduate Seminar*
* Time:* Wednesday, March 29, 2017, 12:45pm-1:45pm
*Location:* TBA (sign up for location announcement and sandwich order at
https://docs.google.com/a/iit.edu/forms/d/e/1FAIpQLSdCXe7rSsDZilSfpkMimpTW
23_OQ_TICMWD82MaSp-LGRvCtw/viewform?usp=sf_link)
*Title:* Quantifying Uncertainties in Inverse Problems: Meaning and
Usefulness of Error Bars in Large-Scale Inversion
*Abstract*
While most people are familiar with many of the military aspects of
national security, the scientific enterprise in support of national
security is less well known. The National Nuclear Security Administration
(NNSA) is a semi-autonomous agency within the U.S. Department of Energy
that oversees the nation’s nuclear security science, from nuclear non- and
counter-proliferation technologies to nuclear emergency response (like the
Fukushima disaster in Japan) to the science of maintaining the U.S. nuclear
weapons stockpile. The NNSA supports a scientific enterprise of more than
50,000 scientists, technicians, and engineers, and, in this presentation,
we will introduce some of the latest scientific developments that are
underway in support of U.S. nuclear security, including current
mathematical research associated with the chemistry and physics of dynamic
material studies, which involves explosively-driven experimentation in
material science. In addition to some actual mathematical case studies at
the cutting edge of nuclear security science, we will discuss some of the
national policies that drive the science as well as how new graduates in
science, technology, engineering, and mathematics can get involved in this
research through internships and support for graduate studies.
--
Robert B. Ellis, PhD
Assoc. Prof., IIT Applied Mathematics
10 W 32nd St, E1 208, Chicago, IL 60637
ellisr at iit.edu
http://math.iit.edu/~rellis
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