The central theme of Dr. Gentili's research is to understand the brain processes underlying human motor behavior by employing, experimental cognitive-motor neuroscience, computational modeling and robotics-based approaches. Dr. Gentili uses electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), kinematics, dynamics, electromyography (EMG), computational modeling and robotics to examine the brain processes underlying human cognitive-motor adaptation, learning and performance.  The long-term goals of his research team include: i) understanding how the brain integrates the physical properties of upper-limb effectors and novel environments in relationship with specific cognitive processes (e.g., mental imagery, inhibitory, attentional mechanisms) during adaptive cognitive-motor behavior and ii) developing intelligent systems to monitor and enhance/regain cognitive-motor behavior through human-machine interaction. In addition his work will inform the development of the next generation of biomedical applications (e.g., brain biomarker monitoring, intervention programs, human-machine collaborative autonomy for rehabilitation).