Raquel Sebastião_CCIS 2021

Biography
Prof. Raquel Sebastião University of Aveiro, Portugal
Biography: Raquel Sebastião is a researcher at Institute of Electronics and Informatics Engineering of Aveiro (IEETA), University of Aveiro, and at LIAAD - Artificial Intelligence and Decision Support Laboratory (R&D laboratory belonging to INESC TEC). She is PhD in Applied Mathematics, with background in Applied Mathematics and Computational Methods, from University of Porto. She participated in several national and international R&D projects on multi-modality medical image registration, incremental and adaptive learning systems, modelling and control for personalized drug administration, image self-similarity and decision support in first responders scenarios. Her research activity has been in facial recognition, registration of multimodal images, data streams, synopsis structures, change detection approaches, decision support systems and biomedical applications. Currently, she is focused on data mining and information extraction from physiological signals. She has teaching experience at polytechnic institutes and programming skills.

Biography

Prof. Raquel Sebastião
University of Aveiro, Portugal

Biography:
Raquel Sebastião is a researcher at Institute of Electronics and Informatics Engineering of Aveiro (IEETA), University of Aveiro, and at LIAAD - Artificial Intelligence and Decision Support Laboratory (R&D laboratory belonging to INESC TEC). She is PhD in Applied Mathematics, with background in Applied Mathematics and Computational Methods, from University of Porto.
She participated in several national and international R&D projects on multi-modality medical image registration, incremental and adaptive learning systems, modelling and control for personalized drug administration, image self-similarity and decision support in first responders scenarios.
Her research activity has been in facial recognition, registration of multimodal images, data streams, synopsis structures, change detection approaches, decision support systems and biomedical applications. Currently, she is focused on data mining and information extraction from physiological signals. She has teaching experience at polytechnic institutes and programming skills.