Dr. Hermano Igo Krebs
Principal Research Scientist & Lecturer, Massachusetts Institute of Technology,
Mechanical Engineering Dept. Adjunct Professor,Dept Neurology and Division Rehabilitative Medicine,
University of Maryland, School of Medicine. Visiting Professor,
Fujita Health University, School of Medicine.

Title: Rehabilitation robotics – Historical perspective

Short CV:

Dr. Hermano Igo Krebs joined MIT’s Mechanical Engineering Department in 1997 where he is a Principal Research Scientist and Lecturer – Newman Laboratory for Biomechanics and Human Rehabilitation. He also holds an affiliate position as an Adjunct Professor at University of Maryland School of Medicine, Department of Neurology and presently he is a Visiting Professor at Fujita Health University, Department of Physical Medicine and Rehabilitation. He is one of the founders and member of the Board of Directors of Interactive Motion Technologies, a Massachusetts-based company commercializing robot technology for rehabilitation. He is a Fellow of the IEEE (Institute of Electrical and Electronics Engineers). Dr. Krebs was nominated by two of IEEE societies: IEEE-EMBS (Engineering in Medicine & Biology Society) and IEEE-RAS (Robotics and Automation Society) to this distinguished engineering status “for contributions to rehabilitation robotics and the understanding of neuro-rehabilitation.” Dr. Krebs has published and presented extensively on stroke rehabilitation related issues (over 200 publications). He serves as the Associated Editor of IEEE-Transactions on Neural Systems and Rehabilitation Engineering (since 2002), as the Head of the Special Interest Group in Robotics of the World Federation for NeuroRehabilitation (since 2010). His work goes beyond Stroke and has been extended to Cerebral Palsy for which he received “The 2009 Isabelle and Leonard H. Goldenson Technology and Rehabilitation Award,” from the Cerebral Palsy International Research Foundation (CPIRF). His goal is to revolutionize the way rehabilitation medicine is practiced today by applying robotics and information technology to assist, enhance, and quantify rehabilitation.