Research Area / Fields

  1. Machine learning for robotic control.
  2. Invasive brain machine interfaces (BMIS).
  3. Non-invasive brain computer interfaces (BCIS).
  4. Computational motor control.
  5. Neural oscillators and control of rhythmic movements.
  6. Biologically inspired control of dynamic walking of bipedal robots.
  7. Central pattern generators (CPGS).

Short Bio

Miriam Zacksenhouse received B.Sc. degrees in Mathematics and Physics from the Hebrew University of Jerusalem (1977), and in Mechanical Engineering from the Technion (1980). She was awarded her M.Sc. in Mechanical Engineering from MIT in 1982, and her Ph.D. in Electrical and Computer Engineering from Rice University in 1993.

Miriam joined the Faculty of Mechanical Engineering at the Technion in 1995, where she directs the Sensory-Motor Integration Laboratory, and the Brain-Computer Interfaces for Rehabilitation Laboratory. In 2003-2004 she as on Sabbatical leave at the center for neuro-engineering at Duke university. The Sensory-motor integration laboratory investigates bio-inspired methods of robot control for both assembly tasks and legged locomotion, and their tuning using machine learning algorithms.   The Brain-computer interfaced for rehabilitation laboratory investigates neural correlates of error processing in the brain and how they can be used to improve brain-machine interfaces and facilitate rehabilitation.

Available Technologies for commercialization

arrow Business Development Contacts
Ilia Baskin
Director of Business Development, Engineering