Dr. Tech. Ilmari Juutilainen
Current research interests
- Statistical methods and approaches to analyze industrial process data for improving production efficiency
- Modelling of variance variability
- Parametric and non-parametric regression in large and high-dimensional data sets
- Machine learning methods with enchanced prediction accuracy in the boundaries of training data
- Applications related to modelling the conditional distribution of product properties and utilization of these models in process optimization
Past research
- Doctoral dissertation in 2006 on topic 'Modelling conditional variance and uncertainty using industrial process data'
- Methods and applications developed for analysing steel manufacturing data in several research projects
Contact
- Tel.
- +358-8-553 2994
- Room
- TS370
- firstname.lastname(at)ee.oulu.fi
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