Monika Kosowska

Monika Kosowska completed her BEng and MSc studies at the Faculty of Electronics, Telecommunications and Informatics of Gdańsk University of Technology. She received her PhD degree in electronics in 2022. Her research interests focus on optical sensors in biomedical applications, novel diamond materials for optoelectronics and the use of machine learning  for data analysis. She is a co-author of many articles published in recognized scientific journals and has been working in several externally funded scientific projects. She completed her research internships at University of Toronto, Canada, and at Bar-Ilan University, Israel. Currently, she works at Bydgoszcz University of Technology.

The subject of the presentation is 'Artificial Intelligence in Biophotonics’. I will cover the principles of fiber-optic sensors developed for biomedical applications and the use of selected algorithms for measurement data classification. Optical measurement methods have gained significant popularity due to their unique features: good metrological parameters, potentially low production cost and the ability to perform non-destructive and non-contact measurement. On the other hand, the use of machine learning ensures comprehensive data analysis, allowing, among others, for recognition and classification of measurement signals.