Hamed is a Scientific Associate at the Engineering Health Team. His research area is currently focused on Machine Learning and Computer Vision for pedestrian movement tracking and unusual pattern detection.

He earned his Ph.D. in Biomedical Engineering, Biomechanics from Azad University, Tehran Science and Research Branch in 2010, while studying changes in the postural control system of hemiplegic patients after stroke and their improvement following different rehabilitation routines.

Before joining Toronto Rehabilitation Institute, Hamed was a faculty member of the Mechanical Engineering Department at Azad University.