TU Wien Informatics

20 Years

Clemens Heitzinger

Associate Prof. Dr.techn. Dipl.-Ing.

Research Areas

  • Partial Differential Equations, Stochastic Differential Equations, Stochastic finite element methods, Multi-body problems, Machine Learning
Clemens Heitzinger


Reinforcement learning; Bayesian methods for ordinary- and partial-differential-equation models; large language models.


  • PDE Models for Nanotechnology
    2013 / START Prize / Austria / Website
  • START-Preis
    2013 / START-Programm / Austria
  • Erwin Schrödinger Fellowship (FWF)
    2003 / Schrödinger-Stipendium / Austria

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Clemens Heitzinger’s research profile in TISS .