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Dalia De Santis

Robotics Brain and Cognitive Sciences
Research center

I am interested in understanding how plasticity of the nervous system can be exploited for designing adaptive human-machine interfaces to help rewiring the brain after neurological injuries such as Stroke and SCI. I use wearable interfaces, robotic technologies, and haptic devices as tools for studying motor control and sensorimotor learning resulting from the interaction between the human body and the environment.
More recently, I have been interested in applying non-invasive brain stimulation techniques as TMS to better understand the neural correlates of learning.

I am a Biomedical Engineer by training and after obtaining my PhD in Robotics and Interaction Technologies at the University of Genoa and Istituto Italiano di Tecnologia I have been a post-doctoral researcher under the supervision of Dr. Mussa-Ivaldi at the Northwestern University and the Shirley Ryan AbilityLab in Chicago, IL. I am now a Marie Curie experienced researcher working with the project REBoT, Re-Empower the BOdy after Tetraplegia (H2020 Project N. 750464)

A little more about me: ​

Top Publications
De Santis D.
A framework for optimizing co-adaptation in body-machine interfaces
Frontiers in Neurorobotics, vol. 15
Article Journal
Rizzoglio F., Casadio M., De Santis D., Mussa-Ivaldi F. A.
Building an adaptive interface via unsupervised tracking of latent manifolds
Neural Networks, vol. 137, pp. 174-187
Article Journal
De Santis D., Mussa-Ivaldi F.A.
Guiding functional reorganization of motor redundancy using a body-machine interface
Journal of NeuroEngineering and Rehabilitation, vol. 17, (no. 1)
Avila Mireles E.J., Zenzeri J., Squeri V., Morasso P., De Santis D.
Skill learning and skill transfer mediated by cooperative haptic interaction
IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, (no. 7), pp. 832-843
Article Journal
De Santis D., Zenzeri J., Casadio M., Masia L., Riva A., Morasso P., Squeri V.
Robot-assisted training of the kinesthetic sense: Enhancing proprioception after stroke
Frontiers in Human Neuroscience, vol. 8, (no. JAN)
Awards and Achievements
De Santis D., Mussa-Ivaldi F.A.
ICNR2018 Best Paper Award
De Santis D., Zenzeri J., Casadio M., Masia L., Squeri V., Morasso P.
Highly Commented Paper Award with the paper: De Santis D., Zenzeri J., Casadio M., Masia L., Squeri V., Morasso P. (2014). Characterizing the human-robot haptic dyad in robot therapy of stroke survivors. International Journal of Intelligent Computing and Cybernetics, Special issue on Robotic Rehabilitation and Assistive Technologies, 7(3), 267-288