Ángela del Robledo Troncoso García earned a Biomedical Engineering Degree at the University of Seville in 2020. Then, she received a Master in Biomedical Engineering and Digital Health at the University of Seville in 2021. Nowadays, she is a PhD student in Computer Science at University Pablo de Olavide in Seville where she is working as a researcher in the Data Science and Big Data Lab.
She has work in an internship related with software and data science in the health scope at the Information and Communication Technology Department in University Hospital ‘Virgen del Rocio’ during three months. She has also work as a visiting teacher and researcher at HTWG Konstanz (Germany) during one semester. The researcher work was about non invasive techniques for respiratory sound monitoring, related with Internet of Things (IoT) devices and physiological data analysis techniques.
Her major fields of research are data science, (bio)medical data analysis and bioinformatics.
A new approach based on association rules to add explainability to time series forecasting models Journal Article
Information Fusion, 94 , pp. 169-180, 2023.
Explainable machine learning for sleep apnea prediction Conference
KES International Conference on Knowledge Based and Intelligent information and Engineering Systems, 2022.
Non-invasive devices for respiratory sound monitoring Conference
KES International Conference on Knowledge Based and Intelligent information and Engineering Systems, 2021.