Syed Thouheed Ahmed

Indian Institute of Technology Hyderabad, REVA University

Papers

Total Citations

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About

Syed Thouheed Ahmed is a researcher at the forefront of applying machine learning and robotics to healthcare accessibility and automation. His primary research areas include medical chatbots, artificial intelligence in clinical decision support, and robotic motion planning. Ahmed’s most impactful contribution is the development of the Robotic Medical Support ChatBot (RMSCB) system, which leverages machine learning techniques to provide primary clinical guidance—a critical innovation for addressing the lack of 24/7 medical facilities in rural and underserved areas. This work, published in 2024, has already garnered 18 citations, reflecting its timely relevance and potential for real-world deployment. Additionally, Ahmed has explored robotic navigation and obstacle avoidance through his study on Gradient Generalized Artificial Potential Fields, contributing to safer and more efficient robot motion in complex environments. His research bridges the gap between intelligent systems and practical healthcare challenges, demonstrating a commitment to technology-driven solutions that improve quality of life. With a growing citation record and a focus on impactful, application-oriented research, Ahmed is an emerging voice in the intersection of AI, robotics, and medicine.