Amel Cherif Email & Phone Number

Development and commercialization of Robotic Medical Devices- Selected for the Pre-Acceleration program of Bocconi4Innovation. - Finalist at Web Marketing Festival startup competition. - Winner at the High Tech Entrepreneurship (HTE) workshop competition. - Finalist at SMARTcup Liguria competition Obtained €200k+ from IIT technology transfer fundObtained €750k+ from RoboIT technology transfer programStartup of Istituto Italiano di Tecnologia

Post Doc fellow @ IIT working for the Spin-off project ReWing. The project is devoted to the design and development of innovative technologies for sensorimotor rehabilitation.

My PhD research focused on neural control of movements, motor skill learning and rehabilitation robotics.PhD thesis title: "Understanding motor control in humans to improve rehabilitation robots"Motor Learning, Assistive and Rehabilitation Robotics LabRobotics, Brain and Cognitive Science unit (RBCS)

The Master aims at the training of the Physiotherapist specialized in home and distance rehabilitation, through the development of specific skills to support and treat people with acute or chronic disabilities using innovative information and communication technology (ICT) - based tools for remote monitoring and care.

Manchester, England, United Kingdom

Invited by Prof. Loram.We studied the contribution to balance of spinal, transcortical and voluntary pathways and the non-linearity of balance control, observing human-in-the-loop myoelectric control of an inverted pendulum system providing natural haptic, visual and vestibular feedback to the participant. We analyzed the myoelectric control signal in human participants in relation to the discrete perturbations with varying inter-stimulus-intervals. We fit the closed loop response using one linear and two non-linear non-parametric models.

Manchester, England, United Kingdom

Invited by Prof. Loram.We studied motor learning strategies observing human-in-the-loop myoelectric control of an inverted pendulum system providing natural haptic, visual and vestibular feedback to the participant. Using challenging perturbation trials, over five sessions repeated on separate days, participants were trained to maintain balance without falling and were tested before and after training.

Kinematic and muscles activity assessment to develop a new Body-Machine Interface for upper limb rehabilitation in people wiyh multiple sclerosis and stroke survivorsValutazione cinematica ed elettromiografica per lo sviluppo di una Body-Machine Interface per la riabilitazione dell'arto superiore in soggetti con sclerosi multipla o esiti da ictus

Development of an interactive environment for neglect rehabilitation using Microsoft KinectSviluppo di un ambiente interattivo per la riabilitazione della negligenza spaziale unilaterale con il dispositivo Microsoft Kinect

Master'S Degree, Bioengineering (Neuroengineering & Bio-Ict), 110/110 Cum Laude

Bachelor'S Degree, Biomedical Engineering

Doctor Of Philosophy - Phd, Bioengineering And Robotics