Provost's Lecture Series

Please join us on 12 April 2013 from noon-2p in Donovan Hall, Rm G152 to hear Dr. Andrea Dziubek present her lecture in the Provost's Lecture Series entitled "'Modern' Computational Mathematical Modeling in Teaching and Research".(Refreshments will be served.)
"Computational mathematical modeling is an
excellent way
for students and researchers to study the modeling of a
problem
and what effects its solution, for example how the
solution
depends on parameters or on the choice of boundary
conditions.
Of course, it is also important that the numerical
methods
approximate the model equations accurately enough and
preserve
the qualitative structure of the original equations,
otherwise
this could result in dangerous and costly situations.
Historically, numerical methods such as finite element
method
were developed for simple (isotropic, homogeneous)
fluids and
materials, but advanced materials often show nonlinear
stress
stain relations and exhibit phenomena at multiple
scales, which
further motivates the need for new approaches in
computational mathematical modeling.
Dr. Dziubek will show some of the problems she has
worked on,
such as condensation in a compact heat exchanger, red
blood cell
membranes, and retinal blood flow. Then she will discuss
what
can go wrong if the numerical methods are not preserving
the
structure of the original analytic equations,
illustrated by an
example of a numerical method which preserves the
symplecticity
of a Hamiltonian system. Finally, she will show some
student
projects.
Andrea Dziubek, Asssistant Professor of Applied Mathematics, received her PhD in Energy and Process Engineering from Berlin Institute of Technology, Germany, in 2006, where she also worked for the Project Group Applied Mathematics. She held teaching and research positions in Indiana at Rose-Hulman Institute of Technology and at Indiana University-Purdue University Indianapolis. Her research area is modeling and simulation of problems in fluid dynamics and elasticity on curved domains, using structure preserving numerical methods and finite element methods. She worked on industrial and biomedical problems, and enjoys contributing to the next generation of tools and methods in computational modeling."