Sofía Aparicio Secanellas holds a degree in Mathematics from the University of Zaragoza (2001) and a PhD in Mathematics from Leiden University, The Netherlands (2005). Her research combines a strong mathematical background with expertise in modelling and the development of wireless sensor networks, focusing on innovative technologies and methodologies with industrial applications. In recent years, her work has centred on the non-destructive characterization and monitoring of materials through embedded sensors and wireless sensor networks (WSNs). Her research has been applied to construction materials and the assessment of curing and degradation processes, including freeze–thaw cycles and cement matrix decalcification. She has also contributed to the development of technologies for early forest fire detection, radon monitoring and mitigation, and the preservation of architectural heritage, integrating advanced sensing systems with data-driven approaches for structural health monitoring and environmental risk assessment.