Approved Prep Fund Projects 2019

 

ERS Prep Fund Call: Simulation and data Science

PFSDS004 – Einsatz künstlicher Intelligenz zur Knorpelforschung

Applicants

  • Gözde Dursun
    Chair and Institute of General Mechanics
  • Professor Marcus Stoffel
    Chair and Institute of General Mechanics
  • Hannah Lena Siebers
    Orthopaedic Clinic, Uniklinik RWTH Aachen
  • Dr. Jörg Eschweiler
    Orthopaedic Clinic, Uniklinik RWTH Aachen

Professors in Charge of the Research Group

  • Professor Dr.-Ing. Marcus Stoffel
    Chair and Institute of General Mechanics
  • Professor Dr. med. Björn Rath
    Orthopaedic Clinic, Uniklinik RWTH Aachen

Abstract (de)

PFSDS005 – Identifying Interpretable Subgroups with Exceptional Structural Relations in Big Datasets

Applicants

  • Junior Professor Axel Mayer
    Institute of Psychology (IfP)
  • Dr. Florian Lemmerich
    Chair for Computational Social Sciences and Humanities (HumTec)

Professor in Charge of the Research Group

  • Professor Markus Strohmaier
    Chair for Computational Social Sciences and Humanities (HumTec)

Abstract

PFSDS006 – Intelligent Finite Elements for Structural Dynamics

Applicant

  • Professor Marcus Stoffel
    Institute of General Mechanics

Abstract

PFSDS015 – iStrainML: Improving Strain Engineering by Machine Learning

Applicant

  • Dr. Ulf Liebal
    Institute of Applied Microbiology (iAMB)

Professor in Charge of the Research Group

  • Lars Blank
    Institute of Applied Microbiology (iAMB)

Abstract

PFSDS022 – Adjoint-Based Adaptive Sampling for Optimized Data Synthesis in Flow Control Applications

Applicants

  • Professor Wolfgang Schröder
    Chair of Fluid Mechanics and Institute of Aerodynamics
  • Professor Uwe Naumann
    Chair of Computer Science 12 (Software and Tools for Computational Engineering)

Abstract

PFSDS023 – MINERALS: Machine learning training set for virtual microscopy

Applicants

  • Dr. Joyce Schmatz
    Department of Structural Geology, Tectonics and Geomechanics (GED)
  • Professor Janos Urai
    Department of Structural Geology, Tectonics and Geomechanics (GED)
  • Dr. Christoph von Hagke
    Department of Structural Geology, Tectonics and Geomechanics (GED)
  • Professor Florian Wellmann
    Computational Geoscience and Reservoir Engineering (CGRE)
  • Dr. Simon Virgo
    Computational Geoscience and Reservoir Engineering (CGRE)
  • Professor Bastian Leibe
    Computer Vision Group (CVG)

Professors in Charge of the Research Group

  • Professor Janos Urai
    Department of Structural Geology, Tectonics and Geomechanics (GED)
  • Professor Florian Wellmann
    Computational Geoscience and Reservoir Engineering (CGRE)
  • Professor Dr. sc. techn. Bastian Leibe
    Computer Vision Group (CVG)

Abstract

PFSDS025 – From Big Data to Process Insight - Remote Sensing Based Model Selection for Natural Hazards Modeling

Applicant

  • PD Dr. Julia Kowalski
    Aachen Institute for Advanced Studies in Computational Engineering Science

Professor in Charge of the Research Group

  • Professor Marek Behr
    Aachen Institute for Advanced Studies in Computational Engineering Science

Abstract

PFSDS026 – Data science based wear prediction

Applicants

  • Dr. Torsten Trimborn
    Institute of Geometry and Applied Mathematics (IGPM) 
  • Dr. Olaf Dambon
    Fraunhofer Institute for Production Technology (IPT)
  • Professor Georg Jacobs
    Institute for Machine Elements and Systems Engineering (MSE)

Professor in Charge of the Research Group

  • Professor Dr. Michael Herty
    Institute of Geometry and Applied Mathematics (IGPM)

Abstract