Mohammad Aziziaghdam

Papers

Total Citations

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About

Mohammad Aziziaghdam is a researcher dedicated to restoring the sense of touch in upper limb robotic prostheses, a critical yet often overlooked challenge in rehabilitation engineering. His work focuses on developing real-time contact sensory feedback systems that leverage acceleration signals generated when a prosthetic hand physically interacts with objects. By transforming these mechanical vibrations into meaningful sensory cues, Aziziaghdam aims to bridge the gap between human perception and artificial limbs, enabling users to better identify and manipulate contacted objects. His foundational paper, "Providing contact sensory feedback for upper limb robotic prosthesis" (2014, 9 citations), and its follow-up, "Real-Time Contact Sensory Feedback for Upper Limb Robotic Prostheses" (2017, 7 citations), have laid essential groundwork in this niche area. While his citation counts reflect the early-stage nature of this specialized field, his contributions are notable for addressing a fundamental problem that limits the functionality and user acceptance of modern prosthetics. Aziziaghdam’s research holds promise for enhancing the quality of life for amputees by making prosthetic hands more intuitive and responsive.