The temporal evolution of physically based fluid simulations is my current research topic. I apply machine learning techniques on simulated fluid data and predict the temporal behavior of the physical quantities like pressure or velocity fields.

Since 2018 I’m a Ph.D. candidate in Nils Thuerey’s group.

Besides organizing the Computer Games Laboratory Course I am also supervising Bachelor’s or Master’s Theses. See below for a list of the most recent supervised theses.


Contact

E-mail: wiewel (at) in.tum (dot) de
Phone: +49.89.289.19451
Fax: +49.89.289.19462
Room: 02.13.060


Publications

Theses

  • Steffen Wiewel, “Advanced Sequence Learning for Liquid Simulations”, M.Sc. Thesis, TUM, March 2018. (English)
  • Steffen Wiewel, “Practical Applications of the DirectX 11 Depth-Buffer”, B.Sc. Thesis, TUM, September 2015. (German)

Talks


Teaching

Supervised Theses

  • Moritz Becher, “Transfer Learning for Fluid Simulation”, M.Sc. Thesis, TUM, February 2019. (English)
  • Tobias Zengerle, “Physics-based Sequence to Sequence
    Networks with Convolutions”, B.Sc. Thesis, TUM, August 2018. (English)