Structural Dynamics / Pattern Recognition

The Structural Dynamics and Pattern Recognition group focuses on the development and application of machine learning techniques, innovative algorithms for pattern recognition and modal analysis within funding projects and industrial orders. Fields of application and research topics are diverse and extensive including mathematical methods for optimization, pattern recognition, prediction, signal processing and sound analysis applied to concrete examples and modifiable by informatics tools.


  • Pattern recognition, classification, optimization, prediction
  • Big data mining, modelling adaptive systems
  • Structural dynamics, vibration analysis, modal analysis,
    operating deflection shapes, transfer path analysis
  • Implementation of innovative barcode technologies

Research Projects

Projects that have been completed can be found on the German subpage Structural Dynamics and Pattern Recognition.