Welcome!

This website gives a brief overview on my research, (third-party funded) projects, and professional background with further references. For current teaching, please visit the website of my working group. If you like to contact me, feel free to do so via [firstname].[lastname]@uni-siegen.de.

Academic Background & Appointments

As of September 2025, I am an interim professor for Network and Data Science Management at the University of Siegen, Germany. With a neatless transition, I led the chair of Management Science at the University of Siegen before and since April 2024.

Since 2020, I am also a research fellow at the University of Bonn, Germany, where I have been affiliated with the High Performance Computing and Analytics Lab until my engagement in Siegen. Moreover, I am elected to the steering committee of the transdisciplinary research area Mathematics, Modelling and Simulation of Complex Systems at the University of Bonn.

Prior to these appointments, I was an interim full professor for Discrete Optimization (after I had been attested achievements equivalent to a habilitation) as well as a postdoc at the Department of Mathematics & Computer Science at the University of Cologne. In 2015, I received a PhD in Computer Science from the University of Cologne, working with Michael Jünger. My diploma is in Computer Science as well, received from the University of Dortmund, Germany, in 2008.

PhD Students

Thanks to my granted DFG project, Chris Cohadari is my PhD student at the University of Bonn since 2025.

Research

I am working in mathematical programming and operations research, on the edges between and with a variety of applications in quantitative economics, computer science, and mathematics. When asked to cut down the ultimate goal of my research into a short sentence, then it is to push frontiers in the solution of practically relevant optimization problems. This means in particular to increase the size or share of problem instances that can be solved routinely, by means of better algorithms and models.

To achieve this goal, I frequently develop and combine methods and ingredients that lead to significant computational advances and that have their foundations in:

More concretely (but non-exhaustively), such methods are e.g. sophisticated branch-&-cut (or outer approximation) algorithms, reformulation and linearization techniques, and engineered separation algorithms, which may be either broadly applicable or tailored (see also the projects and publications below).

While I contribute to applications in a broad mix of disciplines, I also work on general methods. On a meta-level, I gained a particular expertise in ordering and assignment as well as binary quadratic problems which are ubiquitous. More specific example (fields of) applications are transportation and logistics, production and manufacturing, health-care, facility layout, scheduling, and compiler optimization.

Selected Lines of Research

This a selection from my major research directions and projects with recent developments and publications.

1. Sophisticated Models and Algorithms for Applications

This line of research focusses on the solution of various combinatorial optimization problems that arise as economic and interdisciplinary applications. Specifically, it is my passion to design and improve mathematical models with emphasis on their better practical solution, and to develop sophisticated solution techniques that go far beyond “plugging a model into a solver”. The most recent publications deal with:

2. Quadratic Unconstrained Binary Optimization (QUBO) and the Maximum Cut Problem (MaxCut)

I work on exact methods for these two strongly related problems from various perspectives. Thereby, an already tremendous and steadily increasing amount of applications from various disciplines is formulated and solved as a QUBO.

3. General Methods for Constrained Binary Quadratic Optimization

These works are generally applicable to a wide range of applications, e.g.\ involving assignment or matching constraints.

Publications

A full publication list (i.e., with theses, recent articles to appear, as well as preprints) is here.
A list of peer-reviewed publications is available via ORCID.
Finally, you might also take a look at DBLP, however, as you see some of the rather math-oriented journal publications are either not listed there or only listed with a quite large delay.