Susana Novais holds a PhD in Physics Engineering from the University of Aveiro (2019), awarded with honors and distinction, and has been an Assistant Researcher at the Centre for Applied Photonics, INESC TEC, since 2019. She has authored more than 70 publications in international journals, book chapters, and conference proceedings, and serves as Academic Editor for Sensors as well as a reviewer for several international journals. She is actively involved in the international scientific community, having participated in the organization and technical committees of conferences such as EOSAM and OFS. She is a member of the EOSAM Technical Committee and serves on the programme committees of IEEE ICC, PHOTOPTICS, and AOP. She is also a member of the Portuguese Society for Optics and Photonics (SPOF). Her research focuses on the development of fibre-optic sensing technologies for biomedical, environmental, maritime, and harsh-environment applications, and has more recently expanded to Raman spectroscopy, biomedical diagnostics, optical fibre design, and machine-learning approaches for acoustic signal classification.
Susana Novais holds a PhD in Physics Engineering from the University of Aveiro (2019), awarded with honors and distinction, and has been an Assistant Researcher at the Centre for Applied Photonics, INESC TEC, since 2019. She has authored more than 70 publications in international journals, book chapters, and conference proceedings, and serves as Academic Editor for Sensors as well as a reviewer for several international journals. She is actively involved in the international scientific community, having participated in the organization and technical committees of conferences such as EOSAM and OFS. She is a member of the EOSAM Technical Committee and serves on the programme committees of IEEE ICC, PHOTOPTICS, and AOP. She is also a member of the Portuguese Society for Optics and Photonics (SPOF). Her research focuses on the development of fibre-optic sensing technologies for biomedical, environmental, maritime, and harsh-environment applications, and has more recently expanded to Raman spectroscopy, biomedical diagnostics, optical fibre design, and machine-learning approaches for acoustic signal classification.