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Research Training Network 1932

Inhaltsbereich / Content

RTG 1932 "Stochastic Models for Innovations in the Engineering Sciences"

The Deutsche Forschungsgemeinschaft (DFG) has decided to implement a new research training group (RTG) "Stochastic Models for Innovations in the Engineering Sciences" at the University of Kaiserslautern for the period April 2014 - September 2018. 

The RTG focuses on innovative interdisciplinary projects which aim at the development, implementation and validation of new stochastic models, algorithms, and methods for applications in the engineering sciences. Possible applications are in the areas of stochastic production processec, the system-on-chip-design, the hardware acceleration of Monte Carlo methods with applications in financial mathematics, image analysis for characterization of multi-phase materials as well of stochastic modelling and analysis of fiber-reinforced concrete.

Spokesman: Prof. Dr. Ralf Korn (Mathematics)

Principal Investigators:

Associated Investigators:

  • Dr.-Ing. Frank Balle (Machinery and Process Engineering)
  • Jun.Prof. Dr.-Ing. Catherina Thiele (Civil Engineering)
  • Dr. Christina Erlwein-Sayer (Fraunhofer ITWM)
  • Dr. Jörg Kuhnert (Fraunhofer ITWM)
  • Dr. Katja Schladitz (Fraunhofer ITWM)
  • Priv.-Doz. Dr. Martin Spies (Fraunhofer ITWM)
  • Dr. Raimund Wegener (Fraunhofer ITWM)

 Research Projects:

  • P1: Stochastic production processes with fiber and droplet dynamics.
  • P2: Stochastic models for system-on-chip design and Monte Carlo hardware acceleration.
  • P3: Stochastic and analytical methods from image processing for the characterization of local properties of multiphase materials.
  • P4: Stochastic modeling of the micro structure of fiber-reinforced concrete based on 3D image analysis.