Researcher in the "Analytics and AI" group with a particular focus on machine learning (predictive AI) for industrial processes, and how this can be used to support and improve decision-making processes.
We have three focus areas:
-Hybrid AI: How to combine data-driven models with domain knowledge
-Predictive maintenance: How we can monitor the system by observing data, and flag when something appears to be wrong
-Data-driven optimization: Optimization of processes using ML.
Master of Science - Physics and Mathematics, 2018 (NTNU)
PhD - Statistics, 2021 (NTNU)
- Explainable AI
- Uncertainty estimation
- Statistical inference
- Hypothesis testing
- Ensemble learning (random forrest, XGBoost)
- Forecasting
https://www.linkedin.com/in/pål-vegard-johnsen-62aaa7b6
https://www.researchgate.net/profile/Pal-Johnsen
Visiting address:
Forskningsveien 1
0373 Oslo
