topics

Artificial intelligence and machine learning are the core topics that have fascinated me since I began my studies over 25 years ago — especially intelligent systems that can adapt to their users and cooperate with them to solve complex tasks together, such as analyzing and exploring complex data spaces. With my team, I am therefore conducting research that aims to improve the cognitive abilities of intelligent systems in order to enhance communication between humans and machines. We develop novel signal processing and deep learning algorithms for the analysis of sensory data and investigate new approaches to interaction with machines, such as speech or electroencephalography (EEG).

Since 2013, I have been conducting intensive research in the field of deep learning on new signal analysis methods and generative models in the application areas of cognitive neuroscience and music. As a postdoctoral researcher at the Brain and Mind Institute at the University of Western Ontario and head of a junior research group for machine learning in cognitive science at the University of Potsdam, I was one of the first to successfully use deep learning for EEG analysis. Since 2016, the field of applications has expanded to include speech processing and medical imaging (including co-supervising doctoral theses at Charité, TU Dresden, and Siemens Healthineers).

The current research directions of my team are visually summarized in the figure below. Details about our ongoing and past projects are provided on a separate page.