Rita Alexandre Pinto Ribeiro

Rita Alexandre Pinto Ribeiro is a Research Fellow at GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, within the School of Engineering at the Polytechnic Institute of Porto (ISEP). She is currently pursuing her Ph.D. in Artificial Intelligence and Intelligent Systems Engineering at the same institution, focusing on non-invasive health monitoring using wearable devices and physiological signals.

Her educational background includes:

• Ph.D. in Artificial Intelligence and Intelligent Systems Engineering (in progress, 2024-2028), Polytechnic Institute of Porto, School of Engineering.
• Master's in Biomedical Engineering (2021-2023), Polytechnic Institute of Porto, School of Engineering, with a thesis on "Automatic anonymization of clinical text".
• Bachelor's in Medical Imaging and Radiotherapy (2016-2020), Polytechnic Institute of Porto, School of Health.

Ribeiro's research centers on artificial intelligence in healthcare, particularly the analysis of physiological signals (like PPG) from wearables for health monitoring. She employs explainable and robust machine learning methods to develop clinical decision support systems. Her work spans foundation models, signal processing, and the application of AI to improve patient outcomes in areas such as blood pressure prediction, sleep analysis, and medication adherence.

Her recent publications reflect a strong focus on wearable-enabled remote health monitoring, explainable AI in biosignal analysis, and computer vision for healthcare. These works collectively advance the integration of AI into clinical practice, emphasizing reliability and interpretability.

As a Research Fellow, she contributes to international projects including RM4HEALTH (Remote Monitoring in Health and Sports) and REMO (Remote patient-targeted health monitoring to reduce clinical workload), funded by COMPETE2030-FEDER. These projects involve collaboration with academic and industrial partners to develop and evaluate machine learning models for health applications.

Ribeiro is an active member of the GECAD research group, which fosters interdisciplinary work in intelligent engineering and computing for healthcare innovation. She also participates in international events such as the DeepLearn 2025 summer school and the EAIA summer school to stay at the forefront of AI advancements.