Mohammadhasan Owlia

University of Toronto, Toronto Rehabilitation Institute

Papers

Total Citations

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About

Mohammadhasan Owlia is a researcher at the forefront of biomedical engineering and haptic simulation, whose work bridges the gap between accessible technology and high-fidelity medical training. His primary research areas include motion capture systems, robotic simulation, and force-feedback haptics for clinical education. Owlia’s most impactful contribution is his pioneering work on marker-based motion tracking using the Microsoft Kinect, a study that has garnered 26 citations. By demonstrating that an affordable, off-the-shelf sensor could achieve reliable kinematic quantification—challenging the monopoly of expensive commercial systems—he opened new avenues for cost-effective biomechanical analysis in rehabilitation and sports science. In a more specialized vein, Owlia introduced the "Robotic Lumbar Puncture Simulator with Force Feedback," a device designed to train physicians in the delicate procedure of spinal anesthesia. This simulator addresses critical limitations in medical education by providing realistic tactile feedback, allowing trainees to practice without risk to patients. Though newer, this work underscores his commitment to solving real-world clinical challenges through innovative engineering. Owlia’s research exemplifies how thoughtful integration of robotics and sensor technology can democratize access to precision tools, making him a notable figure in the advancement of simulation-based learning.