Dr. Arash Arami

Associate Professor

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Biography

Arash Arami is an Associate Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. He serves as the director of the Neuromechanics Assistive Robotics Laboratory and is cross-appointed to the Systems Design Engineering department. Dr. Arami is an active member of various research initiatives at Waterloo including Robohub and the Centre for Bioengineering and Biotechnology. He is also affiliated with the KITE institute at the Toronto Rehabilitation Institute. His previous roles include serving as a Research Associate at the Human Robotics Group at Imperial College London and a Postdoctoral Researcher at the École Polytechnique Fédérale de Lausanne (EPFL). Dr. Arami's research interests lie primarily in assistive robotics, human-robot interaction, and rehabilitation engineering, particularly focusing on neuromechanics and wearable systems. He earned his PhD in Electrical Engineering from EPFL in 2014, where he investigated smart prostheses and kinematics.

Research Interests

Experience

Associate Professor

2018-01-01 — Present

University of Waterloo • Waterloo, ON

Teaching and conducting research in the field of Mechanical and Mechatronics Engineering.

Research Associate

2015-08-01 — 2017-12-01

Human Robotics Group, Imperial College London •

Focused on modeling human neuromechanics and designing collaborative controllers for exoskeletons.

Postdoctoral Researcher

2014-03-01 — 2015-08-01

École Polytechnique Fédérale de Lausanne (EPFL) •

Research on wearable systems and signal processing applications for machine learning and human movement analysis.

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.