Florian Stadtmann

Florian Stadtmann is a researcher at the Computational Science and Engineering group at SINTEF Digital. He focuses on digital twins, real-time synchronized virtual representations of real-world entities for anomaly detection, predictions, and decision support. To reach the required accuracy, speed and reliability, he combines physics and artificial intelligence into hybrid models. His research also includes other digital twin components such as data streaming and virtual reality.

Education

2021-2025: Ph.D. at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), Norway. Topic: Enabling Technologies for Digital Twins in Wind Energy
2019-2021: M.Sc. in Physics, RWTH Aachen, Germany, Specialization in Astroparticle Physics and Cosmology, Thesis: Boosting Einstein-Boltzmann Solvers with Neural Networks
2016-2019: B.Sc. in Physics, RWTH Aachen, Germany, Thesis: Electron-Proton Separation with Deep Learning Methods in the
JUNO Experiment

Competence and research areas

- Digital Twins
(Synchronized virtual representations of real-world entities)
- Hybrid Analysis and Modeling
(Merging physics, data, and machine learning)
- Artificial Intelligence and Deep Learning,
- Federated Learning
(Decentralized machine learning across distributed data and devices)
- Extended Reality
(Virtual, Mixed, and Augmented Reality)

Linkedin

https://linkedin.com/in/florian-stadtmann-180385249

ResearchGate

https://www.researchgate.net/profile/Florian-Stadtmann

ORCID

https://orcid.org/0009-0003-5155-0870