Silvestro Micera is a Professor specializing in Bioelectronics and Neural Engineering. His research focuses on neural interfaces, neurorehabilitation, and biomedical robotics. He explores applications of machine learning in healthcare and develops wearable robotic systems for mobility assistance. Notable projects include stroke recovery prediction using neural signals and soft wearable robots for shoulder movement support. His work bridges materials science with clinical applications through innovations like conductive hydrogel electrodes. Research interests span neural prosthetics, neuromodulation, and neuroethology in primate models. Recent studies address facial asymmetry classification in neurological disorders and vagal-cardiac neuromodulation. His interdisciplinary approach integrates robotics, materials science, and machine learning to advance neural engineering solutions. Publications highlight trends in neurorehabilitation technologies, implantable devices, and animal model studies. Ongoing work explores brain-to-body neural bypass systems using manifold-based control algorithms.
