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General Information

Full Name Rene Winchenbach
Date of Birth 11th of April, 1991
Languages German, English

Education

  • 2022
    PhD
    Universität Siegen, Siegen, Germany
    • summa cum laude
    • PhD Supervisor - Prof. Dr. Andreas Kolb
    • Spatially Adaptive Smoothed Particle Hydrodynamics
      • Cummulative Dissertation
  • 2018
    Master of Science
    Universität Siegen, Siegen, Germany
    • Final Thesis topic - Framework for the effective implementation of fluid simulations on GPUs
    • {"Final Grade"=>"1.0 (with distinction)"}
  • 2015
    Bachelor of Science
    Universität Siegen, Siegen, Germany
    • Final Thesis topic - Efficient GPU-based Implementation of a Pressure Solver for Incompressible SPH-Fluid Simulations
    • {"Final Grade"=>"1.2 (with distinction)"}

Experience

  • 2022-2025
    Wissenschaftlicher Mitarbeiter (Scientific Researcher)
    Technische Universität München, Munich, Germany
    • Machine Learning for Fluid Simulations
      • Focus on machine learning methods for fluid simulations
      • Continuous Convolutions and Graph Neural Networks
      • Development of differentiable fluid solvers
  • 2019-2022
    Wissenschaftlicher Mitarbeiter (Scientific Researcher)
    Universität Siegen, Siegen, Germany
    • Research on Smoothed Particle Hydrodynamics (SPH)
      • Focus on adaptive SPH methods
      • Boundary handling and fluid-structure interaction
  • 2014-2018
    Student Assistant (doing research)
    Universität Siegen, Siegen, Germany
    • Research on Smoothed Particle Hydrodynamics (SPH)
      • Focus on GPU-based implementations
      • Development of a pressure solver for incompressible SPH

Open Source Projects

  • 2022-now
    diffSPH
    • A fully differentiable Smoothed Particle Hydrodynamics framework for fluid simulations, built on PyTorch.
  • 2017-2022
    openMaelstrom
    • A framework for the efficient implementation of fluid simulations on GPUs, focusing on spatially adaptive SPH.

Honors and Awards

  • 2018
    • Krombacher IT Preis
  • 2019
    • GI/GDV Masters Thesis Award
    • Honorable Mention at the VMV Conference

Academic Interests

  • Smoothed Particle Hydrodynamics
    • Spatial Adaptivity
    • Fluid-Structure Interaction
    • Analytic Models
  • Machine Learning
    • Differentiable Solvers
    • Continuous Convolutions
    • Benchmarking and Validation
  • Rendering and Visualization
    • Analytic Models
    • Fluid Simulation Visualization

Other Interests

  • Hobbies: Cycling, Running, etc.