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MATHEMATICS
LIBRARY
Over the summer the university libraries
introduced a new version of MNCAT,
the online catalog system, with enhanced
features such as the ability for an
individual to check due dates and
renew books after signing in. Thanks
to the mathematics department systems
office, wireless internet access is
now available for those working on
their own computers in any corner
of the Mathematics Library, as in
other parts of Vincent Hall. Thus
the accessibility and usability of
the library’s various networked
resources and services continue to
improve. In addition to its many electronic
journals and databases, the Mathematics
Library now contains over 43,000 volumes
of journals and books. Special acquisitions
in 2002 included 12 new books purchased
with private donations, as well as
many gifts of older books, some out
of print, that are useful additions
or replacements for the collection.
The library continues to develop effective
ways of supporting the learning and
research needs of the mathematics
and statistics community in light
of the challenges and opportunities
of scholarly publishing.
Kristine Fowler, Mathematics Librarian
310 Vincent Hall
E-mail: fowler@math.umn.edu
Phone: (612) 624-9395
MINNESOTA CENTER FOR INDUSTRIAL
MATHEMATICS (MCIM)
Led by Prof. Fadil Santosa (Director)
and Prof. Fernando Reitich (Associate
Director), the Minnesota Center for
Industrial Mathematics (MCIM) continues
to provide internship opportunities
for mathematics students and to develop
collaborative projects with industry.
In its ninth year, the Center has
garnered a reputation as a valuable
resource for industry, and receives
inquiries about possible projects
from local companies on a regular
basis.
In cooperation with the IMA, the Center
runs the Industrial Problems Seminar.
The seminar typically features speakers
from industry who present their work
and problems to our faculty and students.
It also serves as a stage for the
students to present their results
upon completion of their internships.
The seminar has thus become a successful
forum for interaction between industrial
scientists and our faculty, students
and visitors. The list of speakers
for 2002-3 series can be found at
www.ima.umn.edu/industrial.
Several students were placed in internships
last summer. Companies hosting our
students include Symbol Technologies,
Parker Hughes Cancer Institute, Schlumberger,
and Signature Bioscience.
Alumni of our Applied and Industrial
Mathematics Program have consistently
done very well professionally upon
graduation, and we try to keep informed
about their career paths. Among those
that have pursued industrial careers,
Scott Shald (MS 1997, PhD 1999) recently
moved from Lincoln Lab to Coherent
Technologies in Lafayette, CO, to
join the company’s effort in
the development of laser radar systems
for imaging and remote atmospheric
measurements. Also, Sam Albert (MS
1998, PhD 2000) is now back in the
Twin Cities area working for Cargill’s
financial management group after a
short stint at Interactive Data Corporation
in New York.
In the following note, our student
Maria Ponomarenko writes about her
internship experience at Schlumberger-Doll
Research in the Summer of 2002.
Fernando Reitich, Professor and Assoc.
Director of MCIM,
Fadil Santosa, Professor and Director
of MCIM
My Internship Experience
I am a third year graduate student
in the School of Mathematics working
towards a PhD degree in Mathematics
with emphasis in the Applied and Industrial
Mathematics. Last summer I was fortunate
to participate in an internship at
Schlumberger-Doll Research, Ridgefield,
CT. For PhD students interested in
industrial mathematics an internship
is highly recommended. I was particularly
excited because I was very eager to
step into the real world and try to
work in an industrial research facility
(especially one belonging to such
a major company as Schlumberger).
I thought at the very least, it would
give me an idea whether I would like
to pursue a career in industry after
my graduation.
During my internship I worked on an
optimization problem involving an
oil reservoir simulation. It was extremely
interesting but also quite challenging
since I have not worked in the field
of optimization
(in fact, I used to major in algebra
during my master’s studies at
Kiev Taras Shevchenko University,
but here shifted my focus to applied
math and took a variety of courses
in this area). A major and perhaps
the most exciting part of my project
has been the development of a surrogate
function approach based on the artificial
neural network. I had to write and
test a C++ code based on the method
which had to interface with other
existing software. Incidentally, this
required me to learn C/C++ —
something I long wanted to do.
As a result of my internship I have
gained insight of a new and exciting
field in applied math that has a great
potential and is full of yet uncharted
territories. Indeed, I plan to pursue
some of the questions that arise in
this internship work in my thesis
research. I also greatly enjoyed interaction
with my supervisor and coworkers,
the whole environment at the lab,
and realized that I definitely made
a right choice when I decided to work
towards a career as an industrial
researcher. Overall, this internship
has been a most happy and fruitful
experience and I recommend it to anyone.
Maria Ponomarenko
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