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About

Silvia Muceli is a leading researcher in neural engineering and human-machine interfaces, with a primary focus on restoring motor function for individuals with limb loss or spinal cord injury. Her work bridges neurophysiology and biomedical engineering to create more intuitive, high-performance prosthetic and rehabilitation systems. A major contribution is the development of broadband prosthetic interfaces that combine nerve transfers with implantable multichannel EMG technology. This approach, detailed in her highly cited 2017 paper (53 citations), enables the decoding of spinal motor neuron activity, dramatically increasing the number of control signals available for advanced robotic hands and upper limbs. Muceli has also advanced rehabilitation for incomplete spinal cord injury by comparing intramuscular and surface EMG recordings for controlling wearable robots (2020, 11 citations), providing critical insights for optimizing lower limb recovery. Her research is notable for its direct translational impact, pushing the boundaries of how we interface with machines to restore natural, intuitive movement. Through these innovations, Muceli is helping to redefine the possibilities for assistive technology and neurorehabilitation.