Research InterestsDeveloping exact and heuristic models and algorithms to solve large-scale logistics problems, for example in facility location, districting, or service scheduling, taking time dynamic, uncertainty and reliability issues into account. Combining different disciplines from mathematics and computer science, like combinatorial optimization, complexity theory, algorithmic design, computational geometry, and calculus, to obtain structural results and exact solution approaches, e.g., for location problems with continuous demand.
Board member of the EURO Working Group on Locational Analysis (EWGLA).
Fraunhofer Institute for Industrial Mathematics (ITWM), Department of Optimization, 2000-2003.
Saarland University, Department of Law & Business Administration, 2003-2009.
Karlsruhe Institute of Technology (KIT), Department of Economics and Management, 2009-2010, 2011, 2014-2015
Rotman School of Management, University of Toronto, 2010-2011.
Clausthal University of Technology, Faculty of Mathematics/Computer Science and Mechanical Engineering, 2011-2014.
Habilitation Karlsruhe Institute of Technology (2012)
PhD Saarland University (2006)
Diploma Technical University of Kaiserslautern (2000)