Thomas Schranz
Papers
1
Total Citations
3
H-Index
1
About
Thomas Schranz is a researcher at the forefront of co-simulation and cyber-physical systems, with a particular focus on the Functional Mock-Up Interface (FMI) standard. His work centers on making simulation environments more portable, scalable, and accessible through innovative containerization and runtime solutions. Schranz is best known for developing UniFMU, a portable runtime environment that bridges the gap between Python-based modeling and FMI-compliant co-simulation. His most cited paper, "Portable runtime environments for Python-based FMUs: Adding Docker support to UniFMU" (2021), demonstrates how Docker containers can encapsulate complex simulation dependencies, enabling seamless integration across diverse platforms. This contribution has been cited 3 times and is foundational for researchers working on modular, tool-independent simulation workflows. By extending FMI's capabilities to support Python and containerized environments, Schranz has significantly lowered the barrier for integrating machine learning models and custom algorithms into established co-simulation frameworks. His work is particularly impactful for students and engineers seeking to combine the flexibility of Python with the rigor of standardized co-simulation, making him a key figure in advancing practical, interoperable simulation tools for modern cyber-physical systems research.
Research Focus
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Top Papers
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