Arash Arami - Principal Investigator
Arash is an Assistant Professor with the Department of Mechanical and Mechatronics Engineering and cross-appointed with System Design Engineering department at the University of Waterloo.
He is the head of Neuromechanics and Assistive Robotics Laboratory, and member of the Robohub at the University of Waterloo.
He is an affiliated scientist at the KITE institute, Toronto Rehabilitation Institute, University Health Network.
He is member of Centre of Bioengineering and Biotechnology (CBB) and Waterloo AI, at University of Waterloo.
Arash is currently chair of NSERC selection committee and has been member of selection committee since 2020.
He is also member of Mechatronics, Robotics and Control Technical Committee of the Canadian Society of Mechanical Engineering.
Before, he was a Research Associate in Human Robotics Group at the Imperial College London, from August 2015 to December 2017. He was also a Postdoctoral Researcher at Ecole Polytechnique Fédéral de Lausanne (EPFL) from March 2014 to August 2015 in the Laboratory of Movement Analysis and Measurement. He obtained his PhD from EPFL in February 2014.
His main research interests are:
1) to investigate human neuromechanics (neural control of movements and biomechanics), motor control and learning using system identification and machine learning techniques
2) to investigate human-robot interaction, collaborative control, co-adaptation, and optimal policy for personalized assistance and rehabilitative robotic systems
3) to develop intelligent and learning-based robotics systems for assistance and sensorimotor augmentation
4) to develop intelligent wearable systems to monitor and feedback human subject states using a variety of light weight sensors and machine learning techniques
5) to develop AI-based modeling and optimization of complex processes, with applications in manufacturing, robotics, biomedical engineering and well being
The subject-specific neuromechanical models, control theory and machine learning techniques enable us to build personalized adaptive controller to provide assistance/rehabilitation through robotic systems such as wearable exoskeletons. Affected movement and locomotion due to neurological conditions, aging, orthopedic disease or amputation are also investigated in his research group.
ME 780 (Human Movement Neuromechanics)
ME 547 (Robot Manipulators: Kinematics, Dynamics, and Control )
MTE 546 (Multi-sensor Data Fusion )
MTE 360 (Automatic Control Systems)
ME 360 (Introduction to Control Systems)
at Imperial College:
Human Neuromechanical Control and Learning
Machine Learning and Neural Computations
Analysis and Modelling of Locomotion
Sensors in Biomedical Instrumentation
at U of Tehran:
Office: E7 3426
Tel: [+1] 519 888-4567 x47648
Address: Mechanical and Mechatronics Engineering Department, 200 University Avenue West, N2L 3G1
Waterloo, ON, Canada