Background and activities

Ivanna graduated master in Sustainable Manufacturing at Gjøvik University College. She has a background in engineering (computer-aided manufacturing, risk assessment), manufacturing technologies and vast organizational experience, highly interested in combining technological and organizational innovation to create sustainable manufacturing processes. Nowadays, the research area of study is machine learning for manufacturing (including Additive manufacturing or 3D Printing). She works on control and management of variations in additive manufacturing. The main goal of her research is to develop an intelligent system for quality assurance for additive manufacturing. Machine learning methods are used in order to improve prediction models of the EOS P395 polymer powder bed fusion system. Ivanna is open for collaboration, and she is interested in data from different AM systems.


TØL4012 - Sustainable Manufacturing Technologies

TEK1000 - Introduction to technology

MASG1002 - Introduction to mechanical engineering

Key qualifications

Additive Manufacturing/ 3D Printing, Manufacturing Technologies, Sustainable Manufacturing, Machine Learning, Artificial Intelligence, Process Optimization, Predictive Modelling, Statistical Analysis, Data Analysis, Software Engineering.

Technical expertise

Python, SQL, LabVIEW, LaTeX, SPSS, Magics, MatLab, Microsoft Office (with VBA programming experience).

Scientific, academic and artistic work

Displaying a selection of activities. See all publications in the database

Journal publications

Part of book/report


  • Baturynska, Ivanna. (2020) Machine Learning of Quality Assurance in Polymer Powder Bed Fusion Additive Manufacturing. Mapping build layout design to quality of AM products as a part of an intelligent system for quality assurance. Norges teknisk-naturvitenskapelige universitet. 2020. ISBN 9788232645886.