Dushyanth Madhavan

Singapore University of Technology and Design

Papers

Total Citations

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About

Dushyanth Madhavan is a researcher whose work sits at the intersection of robotics, biomedical engineering, and non-invasive neuromodulation. His primary research focuses on developing automated, high-precision platforms for Transcranial Magnetic Stimulation (TMS), a technique increasingly used in neurological treatments for conditions like depression and stroke rehabilitation. Madhavan’s major contribution lies in pioneering non-contact methods for the parametric estimation and localization of the human head, enabling robotic arms to accurately position TMS coils without physical contact. This approach addresses a critical limitation of earlier robotic systems, which often relied on less precise or more invasive methods. His foundational 2013 paper on this topic, which has garnered 4 citations, laid the groundwork for a dexterous articulated robotic arm designed as a TMS end-effector. By integrating advanced localization algorithms with robotic control, Madhavan’s work directly enhances the repeatability, safety, and efficacy of TMS procedures, moving the field toward fully automated, patient-specific treatment platforms. His research represents a vital step in making advanced neurological therapies more accessible and reliable.