Welcome!
I am happy that you have found your way to my website.
Here I want to share some of my interests and information about my work with you.
In particular, I give you an outline of my research activities.
Feel free to contact me, I am always interested in productive exchange of ideas.
 Martin
Current Position
I am currently a S. E. Warschawski Visiting Assistant Professor at the University of California, San Diego.
I received a Diplom degree in Mathematics in Bonn in 2012,
with a thesis on finite element exterior calculus
under supervision of Prof. Sören Bartels.
One year later, I finished another Diplom degree in Computer Science
with a thesis on smoothed analysis in linear programming
under supervision of Prof. Heiko Röglin.
Consecutively, I was a PhD student at University of Oslo in my third year.
My supervisor has been Prof. Snorre H. Christiansen.
During that time I visited
the group of Prof. Douglas N. Arnold at the University of Minneapolis
from Fall 2015 to Spring 2016.
Research Interests
My research develops around structurepreserving numerical methods for partial differential equations.
This has been a very active area of research in the past years.
The basic »paradigm« of structurepreserving numerical methods
is to mimic qualitative properties of the analytical problem on a discrete level,
since qualitative properties, such as energy conservation, are often very important
for practical applications in physics and industry.
The mathematical beauty of these methods lies in the confluence
of numerical, global, and functional analysis,
of differential geometry and algebraic topology.
I focus on finite element exterior calculus,
whose main idea is to construct a de Rham complex of spaces of
finite element differential forms.
Not only does it provide a very powerful tool
in the construction and understanding of finite element methods,
but gives the background for a productive exchange
in pure and applied analysis.
In fact, one can discover that many similar ideas
have been used in finite element analysis and global analysis.
The theory of these methods is mathematically very demanding
(which might explain my passion for this research area).
I am convinced this mathematics is necessary for effectively mastering
complex problems in computational physics.
I value thorough and detailed research,
and it is my ambition to keep the big picture in perspective;
in fact,
keeping an eye on the details is often necessary
to fully comprehend mathematics in the big picture,
and to discover often surprising new insights.
Scientific Publication & Preprints
Note: I will be glad to provide drafts of submitted articles on request.

Finite Element Exterior Calculus over Manifolds.
with Snorre H. Christiansen. In Preparation

PoincaréFriedrichs Inequalities of Complexes of Discrete Distributional Differential Forms.
with Snorre H. Christiansen. Submitted

Smoothed Projections and Mixed Boundary Conditions.
Submitted

Smoothed Projections over Weakly Lipschitz Domains.
Submitted
[Arxiv]

Complexes of Discrete Distributional Differential Forms and their Homology Theory.
Found Comput Math (2016). doi:10.1007/s102080169315y
[Arxiv]
Theses & Proceedings

On the A Priori and A Posteriori Error Analysis in Finite Element Exterior Calculus.
My PhD Thesis was supervised by Prof. Dr. Snorre Christiansen at the University of Oslo.

On Discrete Distributional Differential Forms and their Applications.
My diplom thesis in mathematics outlines finite element exterior calculus and introduces the notion of discrete distributional differential form.
This thesis served as the basis for a subsequent publication.
It was supervised by Prof. Dr. Sören Bartels at the University of Bonn.

Smoothed Analysis of the Simplex Method.
My diplom thesis in computer science was written under supervision of Prof. Dr. Heiko Röglin at the University of Bonn.
The simplex method is the standard algorithm in linear optimization,
but its practical success is not accurately by the worstcase analysis in theoretical computer science.
The smoothed analysis by Spielman and Teng facilitates a probabilistic error analysis which reflects the observed practical feasibility.

Domain Distribution for parallel Modeling of Root Water Uptake.
Proceedings 2010, JSC Guest Student Programme on Scientific Computing, 2010.
link to proceedings