Rafael Garcia Gil

Rafael Garcia Gil is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia. He is a member of the Laboratory of Industrial Electronics and Instrumentation (LEII), contributing to research in power electronics, sensor systems, and embedded instrumentation.

His research interests focus on power electronics, particularly AC-DC matrix converters, power factor correction, and grid-connected inverters, with applications in renewable energy and particle accelerators. He also works on sensor design, including magnetoresistive current sensors and embedded systems for medical applications such as bleeding detection in intraoperative radiotherapy. Additionally, he is involved in smart monitoring systems for environmental and cultural heritage applications using LoRa-based wireless networks.

The recent trend in his publications shows a strong emphasis on high-precision electrical sensing, medical instrumentation, and interdisciplinary science communication through the Innocampus initiatives. His work bridges engineering with medical and environmental applications, demonstrating a commitment to real-world impact.

He has contributed extensively to the design and implementation of power converters, current sensors, and embedded monitoring systems. While no scientific awards are listed in the provided text, his sustained publication output and leadership in applied research projects reflect significant scholarly contribution.

Rafael Garcia Gil advises research within the LEII group and has been involved in projects related to renewable energy, medical devices, and science outreach. His work includes the development of bleeding detectors for radiotherapy, LoRa-based moisture sensors for heritage buildings, and educational tools for control systems. He collaborates across disciplines, particularly in health and environmental technologies.

He is actively involved with the LEII (Laboratory of Industrial Electronics and Instrumentation), where his team conducts research in power electronics, industrial sensors, and embedded systems for medical and environmental applications.