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Arash Arami is an Assistant Professor at the University of Waterloo, specializing in the intersection of machine learning and robotics. His research focuses on system identification techniques in machine learning to uncover neural control in human movements, with the aim of designing optimal controllers for AI-assisted robotic systems and exoskeletons. In his lab, Professor Arami applies identified neuromechanics and control theory, utilizing recent findings in human motor control and movement neuroscience to develop assistive controllers for robotic systems. His work emphasizes collaboration with human subjects, employing machine learning techniques to improve robotic control approaches. These methodologies aid in intention decoding and adapting to the specific needs of subjects, thereby enhancing wearable systems for in-field movement analysis, which evaluates the effects of assistive rehabilitation robotic systems.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.