Mahsa Parsapour

University of Waterloo, K.N.Toosi University of Technology, École Polytechnique Fédérale de Lausanne

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About

Mahsa Parsapour’s research bridges rehabilitation engineering and intelligent robotic control, with a focus on creating accessible, high-impact solutions for real-world applications. Her most notable contribution is the design and development of a portable, low-cost 3D-printed wrist rehabilitation robot (2022), which has already garnered 31 citations for its potential to democratize physical therapy through additive manufacturing. This work exemplifies her commitment to affordable assistive technology. In earlier foundational research, Parsapour proposed a novel kernel-based sliding mode controller for visual servoing systems (2014, 7 citations), introducing a kernel-measurement approach to track featureless objects—a significant advance for vision-guided robotics. She has also explored sensor placement challenges for sprawling posture legged robots (2017, 4 citations), addressing critical issues in visual and inertial data gathering for search-and-rescue missions. Her work consistently demonstrates a talent for integrating mechanical design, control theory, and practical sensing constraints. Parsapour’s research trajectory—from theoretical control innovations to tangible, low-cost rehabilitation devices—positions her as a promising engineer whose work directly impacts both robotic autonomy and human well-being.