Background and activities
Bassma Al-Jubouri is a researcher at the Department of Mechanical and Industrial Engineering. She received her MSc degree in Artificial Intelligence from the University of Southampton, UK in 2012 and her PhD degree in Machine Learning from Bournemouth University, UK in 2018. Her PhD degree was part of the EU INFER project. Previously she worked as a researcher in computer vision at Bournemouth University, before joining NTNU as a postdoc in 2019.
Since 2021 she is working as a researcher to apply Artificial Intelligence and Machine Learning to automate the evaluation and discovery of new lubricants.
Her research interest lies in AI, data science and ML and their implementation in practical and real-world applications.
Previous publications can be found on Google Scholar.
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
- (2021) Identifying ski roughness using data driven approaches. IEEE International Conference on Systems, Man, and Cybernetics (SMC).
- (2016) Local learning for multi-layer, multi-component predictive system. Procedia Computer Science.