2004-2008: Ph.D. in
Christian Igel's
group at the Institut für Neuroinformatik in Bochum.
I received my Ph.D. in 2008 from the Faculty of Mathematics,
Ruhr-Universität Bochum, Germany.
since 2012: Junior professor for theory of machine learning
at the Institut für Neuroinformatik, Ruhr-Universität
Bochum, Germany. I am the head of the optimization of adaptive
systems group.
Homepage of Tobias Glasmachers - Teaching
Lectures and Seminars
In the summer term 2013 I am offering the lecture
"Machine Learning - Supervised Methods".
The lecture is intended for Master students of the Angewandte
Informatik program.
I am always offering
semester projects
as well as Bachelor and Master theses within the Angewandte
Informatik program. Please contact me for
details.
Semester projects for students of the Angewandte Informatik program:
In the summer term 2013 I offer the project
"Browser-basierte Datenvisualisierung für maschinelles Lernen".
Theses:
I am maintaining a list of possible topics for Bachelor and Master
theses. Most (but not all) of these projects are related to my
lectures on machine learning and evolutionary algorithms. The list
of open projects is constantly evolving.
Please contact me if you are interested so
I can provide you with more details.
NEW!
I am currently offering a Master's project on modeling of human
movement trajectories.
Homepage of Tobias Glasmachers - Teaching
The trajectories have been recorded in the
institute's movement laboratory. In this project, the trajectories
will be modeled as superpositions of relatively few basic components.
Both the compoents and the trajectory-wise coefficients are to be
learned from data, which can be achieved with variants of algorithms
like independent component analysis (ICA) and learning methods for
sparse reconstruction.
The goal is to uncover movements components in a purely data-driver
manner that allow for an interpretation as meaningful "movement
primitives".
The explanatory value of this model will be assessed by learning
theoretical and statistical measures, and also by comparing the
results to psycho-physical models.
Homepage of Tobias Glasmachers - Research
One line of my research deals with supervised learning with support
vector machines (SVMs). On the one hand I am interested in the SVM
training problem, which basically amounts to large scale quadratic
programming.
On the other hand I am trying to simplify SVM usage for non-experts
by developing robust methods for automatic model selection. My
research activities include both theoretical and practical aspects
ranging from SVM optimization to experimental comparison studies and
software development.
I am also interested in evolutionary algorithms, in particular evolution
strategies for controller design and real-valued black box optimization.
This activity offers fascinating theoretical challenges, and at the same
time highly efficient practical algorithms with endless applications.
Homepage of Tobias Glasmachers - Software
I am an active developer of the
Shark Machine Learning Library.
Shark is an open-source, modular, and fast C++ library.
A large share of my research code is either part of the
library or based thereon. Check it out!
Shark is currently undergoing a major transition;
actually it is more fair to speak of a complete rewrite.
By now (2013) the work is mostly done, and we already have
an alpha release of the brand new Shark 3. A few more design
changes are underway that will make the library even faster
and even more complete.
