Biography:
Romano Giannetti was born in La Spezia, Italy, in 1964. He received his degree in Electronic Engineering from the University of Pisa in 1989 and his Ph.D. in Electronic and Computer Engineering from the University of Padua in 1993. He was a researcher at Pisa University (Italy) from 1994 to 1998, and since then, he has been Professor at the Universidad Pontificia Comillas de Madrid (ICAI-ICADE). He served as Head of Studies, Vice-Rector, and Vice-Dean of Engineering, and he is currently Head of the Department of Electronic, Control Systems, and Communications. His research interests are in the field of measurement instrumentation and methodology. More specifically, he worked in the design of highly portable and wireless measurement systems, especially in the area of biological signals; in noise measurement techniques; in support instrumentation for microelectronic technology (MBE and ALMBE systems); in noninvasive techniques for biomedical measurements; in low noise measurement system aimed to the characterization of non-linear materials. He is a senior member of Measurement and Education societies of IEEE. He has more than 100 publications in journals and conferences, an H-index of 15 and an i10-index of 25 (Google Scholar data), and four 6-year periods of research ("sexenios") certified by the Spanish public institutions.
Areas of interest:
Measurement instrumentation and methodology. Biomedical instrumentation. Noise measurements.
Experience:
Development of portable measurement systems, instrumentation to support microelectronic technology (MBE and ALMBE systems), non-invasive techniques for measuring blood gases, design of low-noise amplification system for EEG, measurement-oriented instrumentation for characterization of non-linear materials.
Skills:
Design of analog electronics circuits in general, especially low-noise ones. Design of electronic instrumentation systems, especially those oriented to biomedical electronics.
Current research interests:
Non-invasive EEG measurement systems and electrode contact resistance. Low-cost EEG system applications. Biomedical instrumentation design. Metamaterial-based sensors.