Sejuti Rahman

Papers

Total Citations

101

H-Index

About

Sejuti Rahman is a researcher at the forefront of assistive and rehabilitation robotics, with a focus on human-centered technologies that bridge the gap between engineering and healthcare. Her key research areas include AI-driven rehabilitation systems, humanoid robotics, and anthropomorphic robotic design. Rahman’s most impactful work, an AI-driven stroke rehabilitation review (2022, 75 citations), systematically evaluates how intelligent systems can address the shortage of skilled therapists by automating patient monitoring and progress assessment—offering a scalable, cost-effective solution for post-stroke recovery. She also leads innovative projects in human-robot interaction, including the design of a humanoid robot for sign language interpretation (2021, 19 citations) and the development of an anthropomorphic robotic hand using TPU material (2019, 7 citations), which tackles the challenge of mimicking human-like dexterity and actuation. Her work on the robotic hand contributes to the broader goal of creating lifelike, functional prosthetics and assistive devices. With a growing citation record, Rahman is recognized for translating complex robotic systems into practical tools that enhance quality of life, making her a rising voice in accessible rehabilitation technology.