Spairani Edoardo

Spairani Edoardo is a Research Fellow at the Department of Industrial and Information Engineering, University of Pavia. His work focuses on biomedical engineering, particularly in medical imaging, signal processing, and fetal monitoring. He has contributed to advancements in ultrasound imaging enhancement and fetal health diagnostics using machine learning techniques.

Recent research includes deep learning applications for ultrasound beamforming, spectral analysis of fetal heart signals, and hidden Markov models for cardiotocography analysis. These studies aim to improve clinical diagnostics and non-invasive fetal health assessment.

No scientific awards or advising roles are explicitly listed in the provided materials. His disciplinary expertise aligns with ING-INF/06 - Electronic and Computer Bioengineering.