I am a research scientist in a joint program with the MPI for Intelligent Systems and the University of California Berkeley in the framework of a Marie Curie fellowship.
My research develops safe learning-based control techniques that enable automatic controllers to leverage online data, while guaranteeing satisfaction of safety conditions, e.g. in the form of constraint satisfaction, at all times. We address this problem by deriving both new theoretical frameworks, as well as highly efficient computational tools. My other research interests include distributed control and optimization for large-scale system networks.
The Marie Curie project COGENT applies these ideas to develop new modeling and control techniques for energy-efficient technologies. We specifically focus on the potential and challenges imposed by the integration of plug-in hybrid electric vehicles, whose primary use as a means of transportation makes the availability to the grid highly variable and dependent on driving behavior.
Unser Ziel ist es, die Prinzipien von Wahrnehmen, Lernen und Handeln in autonomen Systemen zu verstehen, die mit komplexen Umgebungen interagieren. Das Verständnis wollen wir nutzen, um künstliche intelligente Systeme zu entwickeln.