Research Units in the Field of Artificial Intelligence

Funded projects in alphabetical order according to name of grantee:

  • "AI-based methodology for the rapid upgrading of immature production processes"
    Prof. Dr. Jürgen Beyerer
  • "Abstract Representations in Neuronal Architectures (ARENA)"
    Prof. Dr. Christian Fiebach
  • "integrating deep learning and statistics to understand structured biomedical data"
    Prof. Dr. Sonja Greven
  • "Deep Learning on sparse chemical process data"
    Prof. Dr. Marius Kloft
  • "Automation and Artificial Intelligence for Monitoring and Decision-Making in Horticultural Crops (AID4Crops)"
    Prof. Dr. Christopher McCool
  • "Learning Optimal Image Data Sensors"
    Prof. Dr. Michael Möller
  • "Algorithmic Data Analysis for Geodesy (AlgoForGe)"
    Prof. Dr. Petra Mutzel
  • "Lifespan AI: From longitudinal health data to life course inference"
    Prof. Dr. Tanja Schultz