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Personal profile

Research Interests

Areas of interest and expertise include robotics, neurobiology of the sensory-motor system and computational neuroscience. Among Dr. Mussa-Ivaldi’s achievements are the first measurement of human arm multi-joint impedance, the development of a technique for investigating the mechanisms of motor learning through the application of deterministic force fields, the discovery of a family of integrable generalized inverses for redundant kinematic chains, the discovery of functional modules within the spinal cord that generate a discrete family of force-fields, the development of a theoretical framework for the representation, generation and learning of limb movements and the development of the first neuro-robotic system in which a neural preparation in-vitro - the brainstem of a lamprey - controls the behavior of a mobile-robot through a closed-loop interaction.In recent years Dr. Mussa-Ivaldi’s team has been developing and testing a “body-machine interface” for people with tetraplegia following cervical spinal cord injury. The interface captures residual motion abilities and muscle activities to facilitate the use of devices such as powered wheelchairs and personal computer systems with the dual purpose of providing assistance and engaging the users in targeted therapeutic exercises.

Training Experience

1988Postdoctoral Fellowship, Massachusetts Institute of Technology

Education/Academic qualification

PhD, Politecnico di Milano

… → 1988

Research interests

  • Bioengineering
  • Computational Neuroscience
  • Movement Control
  • Neurobiology
  • Neuroscience
  • Rehabilitation/Therapy
  • Spinal Cord Injury
  • Stroke

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Grants

  • Research Output

    Adaptation to Laterally Asymmetrical Visuomotor Delay Has an Effect on Action But Not on Perception

    Avraham, C., Dominitz, M., Khait, H., Avraham, G., Mussa-Ivaldi, F. A. & Nisky, I., Sep 6 2019, In : Frontiers in Human Neuroscience. 13, 312.

    Research output: Contribution to journalArticle

    Open Access
  • 1 Scopus citations

    A myoelectric computer interface for reducing abnormal muscle activations after spinal cord injury

    Rizzoglio, F., Sciandra, F., Galofaro, E., Losio, L., Quinland, E., Leoncini, C., Massone, A., Mussa-Ivaldi, F. A. & Casadio, M., Jun 2019, 2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019. IEEE Computer Society, p. 1049-1054 6 p. 8779493. (IEEE International Conference on Rehabilitation Robotics; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Combining Metrics From Clinical Simulators and Sensorimotor Tasks Can Reveal the Training Background of Surgeons

    Huang, F. C., Mohamadipanah, H., Mussa-Ivaldi, F. A. & Pugh, C. M., Sep 1 2019, In : IEEE transactions on bio-medical engineering. 66, 9, p. 2576-2584 9 p.

    Research output: Contribution to journalArticle

  • 1 Scopus citations

    Designing Visual Feedback to Reshape Muscle Coordination

    Mintz, J., De Santis, D., Rizzoglio, F., Farshchiansadegh, A. & Mussa-Ivaldi, F. A., Jan 1 2019, Biosystems and Biorobotics. Springer International Publishing, p. 1034-1038 5 p. (Biosystems and Biorobotics; vol. 21).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2 Scopus citations

    Development of an EMG-controlled Serious Game for Rehabilitation

    Ghassemi, M., Triandafilou, K., Barry, A., Stoykov, M. E., Roth, E. J., Mussa-Ivaldi, F., Kamper, D. G. & Ranganathan, R., Jan 1 2019, (Accepted/In press) In : IEEE Transactions on Neural Systems and Rehabilitation Engineering.

    Research output: Contribution to journalArticle

  • 3 Scopus citations