Michail Spitieris

- Unit:
- SINTEF Digital
- Department:
- Software Engineering, Safety and Security
- Office:
- Trondheim
Michail Spitieris is a research scientist at SINTEF Digital, specializing in Machine Learning and Artificial Intelligence. His projects span probabilistic AI for uncertainty quantification, explainable ML with physical knowledge, and generative AI for synthetic data and scenario generation, with applications in healthcare, energy, and digital twins.
Education
PhD in Machine Learning, Statistics Group, Department of Mathematical Sciences, NTNU, Trondheim (2023).
Competence and research areas
- Machine Learning
- Probabilistic AI
- Physics-informed Machine Learning
- Generative AI methods
- Uncertainty Quantification
- Inverse Problems
- Hybrid AI methods
- Time series analysis
https://www.linkedin.com/in/michail-spitieris/
ORCID
Contact info
Visiting address:
Strindvegen 4
7034 Trondheim