Our research focuses on optimization theory with applications in Operations Research, Engineering and Machine Learning. We do fundamental research on mathematical optimization theory, game theory and complexity analysis, but are also interested in the design of practical algorithms for solving important societal challenges. A key application domain of the chair is the optimization and control of energy systems and optimization methods for AI.
Our group is cooperating both in research and in teaching activities with the Chair of Scientific Computing (Prof. Simone Göttlich) and the Chair in Probability Theory (Prof. Leif Döring).
Credit: Anna Logue
Teaching
The chair offers courses in the area of optimization and AI. For the current list of courses offered by the chair and a description of the courses, please follow the link below.
In order to improve performance and enhance the user experience for the visitors to our website, we use cookies and store anonymous usage data. For more information please read our privacy policy.
