معرفی
Giovanni Corvini is a Research Fellow at the University of Roma Tre, Department of Industrial, Electromechanical and Mechanical Engineering (DIIEM), working within the Applied Electronics BioLab 3. He received his Ph.D. in Applied Electronics (Biomedical Engineering) in 2024 and has established himself as a researcher in biomedical engineering, artificial intelligence, and robotics.
Dr. Corvini's research focuses on the neuromuscular system with the aim of advancing robotic neurorehabilitation for both upper and lower limbs. His expertise includes:
- Analysis of surface electromyography (sEMG) for muscle fatigue assessment
- Development of novel metrics for high-density sEMG analysis in the time-space domain
- Human-robot collaboration systems for rehabilitation
- EMG-based prediction of movement intentions
- Biomechanical analysis of human-robot interaction
His recent publications (2022-2025) demonstrate a strong focus on the intersection of robotics, biomechanics, and neurorehabilitation. Approximately 60% of his work centers on human-robot collaboration systems for upper limb rehabilitation, 30% focuses on advanced sEMG signal processing techniques, and 10% explores applications in epidemiological modeling and workplace ergonomics. His research shows a clear trajectory toward developing more effective neurorehabilitation technologies through the integration of robotics, signal processing, and biomechanical analysis.
Dr. Corvini is actively involved in the HYBR-ID project, which aims to develop an upper limb rehabilitation system integrating exoskeleton assistance and functional electrical stimulation driven by user-tailored synergy-based intention detection. He has also developed Matlab code for high-density sEMG analysis in the time-space domain, which is publicly available.
His laboratory work is centered at the Applied Electronics BioLab 3 at Roma Tre University, where he collaborates with researchers including S. Conforto, M. Schmid, D. Bibbo, and S. Ranaldi on various aspects of neurorehabilitation robotics and biomechanical analysis. His research has applications in both clinical rehabilitation settings and workplace ergonomics.