Date and Location of the 3rd Seminar

The seminar will take place on

April 29th, 2013
5 c.t.

in room 432 of the IWR building (INF 368).

After the talks there will be a food and drinks in the common room 514.

Speakers and Abstracts

Speakers, Titles, and Abstracts of the 3rd Fellows Seminar:

Katharina Beuke: The Liver - and why it's special

In Greek mythology the titan Prometheus was punished for stealing the fire
from Zeus and giving it to man-kind. Zeus had him chained to a rock and
every day an eagle would feed on his liver, only for it to grow back over night and
to restart the procedure the next day.

Whether or not you believe in old Greek myths, at the very least
the part about the regrowing liver could be true, because the liver
is the only organ that can grow back. This makes the liver very interesting
for biological research.

In the Virtual Liver Network project the goal is to create a systems biological
multiscale model of the liver and its regeneration. One of the first pathways
in hepatocyte (=the main liver cell type) proliferation (=the growth and division
of cells) is the Tumor Nucreosis Factor alpha (TNFα) induced
Nuclear Factor kappa-light chain enhancer of activated B-cells (NFκB) signaling
(=several biochemical reactions in a cell which lead to changes in what genes
are read in that cell, which can then lead to cell growth or cell death).
I am working on an ODE-based model to describe this pathway and on integrating
it with other pathways involved in hepatocyte proliferation.


Bastian Rieck: Oh my god, it's full of data! - A biased & incomplete introduction to visualization

The last few years have seen an unprecedented rise in the amount of data
that is acquired daily. Whether in a scientific or a business setting, large
quantities of data are commonly generated and stored. Slowly but surely,
we seem to drown in a sea of information. In my talk, I will present several
visualization techniques that can be used to make sense of data sets. I will show
how visualization techniques can be used to perform exploratory data analysis.
Furthermore, I will outline some visualization pitfalls and talk about my personal
views regarding the scope of visualization (hence the modest subtitle).



Rahul Nair: Zoom in the Eye.... Enhance Reflection.... We've got the culprit!(?)


A common gimmick in many films and serials  (pointing finger at you CSI!)

is to introduce new information by visiting a computer savvy lab technician

to view some noisy (surveillance camera) images. In the following seconds the

protagonist alternatively whispers 'zoom' and 'enhance' while the technician
violently types commands into his keyboard to indicate his or her technical

prowess. Once this magical ritual has been performed some new information is
revealed e.g. the reflection on the eye of the subject has been enhanced to the
extent that a face is visible which can subsequently matched against a database

and the corresponding killer/robber/random bad guy arrested.

So how much of this is for real?

I will not give you an answer in my talk. Instead I will introduce you to different

techniques in image processing (e.g. super-resolution, optical flow, face matching),

that could be used for such or similar applications. You can then decide for yourself.

Further viewing:

  Youtube: CSI