Deutsch Intern
    Data Science Chair


    Natural Language Processing

    We collaborate with literary scholars on questions like detection of direct speech or sentiment analysis in a literary context. 

    Environmental Science

    Answering questions regarding environmental factors using machine learning and raising awareness about environmental circumstances.

    Recommender Systems

    Development of new methods to recommend items to users in a variety of application scenarios.

    Semantic Web

    Representing the underlying structures of our online and offline world by leveraging textual data to intelligently support humans.

    Security and Fraud

    Detecting security incidents and fraud in enterprise environments

    Structural Health Monitoring 

    We are evaluating recent advances in Graph Signal Processing and Graph Neural Networks for multivariate time-series to model the mode shapes of the intelligent bridge.