Marine Data Science

Research group at the University of Rostock, Institute for Visual and Analytic Computing
We are working on machine learning for multi-modal and heterogeneous data

  • Neuro-Symbolic AI

    Integrateing data-driven AI methods like deep neural networks and knowledge-driven AI methods (planning, reasoning), especially for time series analysis tasks

  • Machine Learning for Multi-modal and Tabular Data

    Developing Deep Learning methods that can learn from and make predictions with mixed tabular and sensor data, including high-cardinality categorical data

  • Real-World Data Science

    Applying the methods developed by our group to challenging data science tasks in marine ecology, underwater technology, or sensor-based activity recognition