Dr. Tom Kraus

„A development that is to mature into an innovation should be convincing in comparison to the state of the art. However, it must meet the requirements of users, regulation and profitability.“

Focus of work

  • Mathematical modeling, simulation and optimization
  • Artificial Intelligence
  • Distributed ledger technologies and blockchain
  • Automation and control technologies
  • Platform economy and smart services

Curriculum vitae

Tom Kraus studied mathematics and computer science with a focus on scientific computing at the Ruprecht-Karls University of Heidelberg and received his PhD in bioscience engineering from the University of Leuven (Belgium) with a thesis on model predictive control and optimization-based state and parameter estimation. For three years, he was responsible for the management of the Scientific Computing programme from Heidelberg University's Institutional Strategy which was funded through the Excellence Initiative, and worked as a research associate at the Heidelberg Interdisciplinary Center for Scientific Computing. Since 2017, Tom Kraus has been working as a consultant at the iit.


Ernst A. Hartmann (Hrsg.); Jan Büscher; Deuse, Jochen; Fabian Diehr; Luca Dörr; Froese, Julia; Gabriel, Peter; Lene Ganschow; Isabelle Gauger; Huber, Marco; Kraus, Tom; Künzel, Matthias; Claudia Lehmann; Mangelsdorf, Axel; Tobias Nagel; Thorben Panusch; Pentenrieder, Annelie; Ute Schmid; Thomas Seul; Straub, Sebastian; Christian Wirth; Nicole Wittenbrink; Stefan Voget; René Wöstmann (2021): Digitalisierung souverän gestalten II