Md. Hasibur Rahman

International University of Business Agriculture and Technology, Independent University

Papers

Total Citations

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About

Md. Hasibur Rahman is a rising researcher at the intersection of robotics and computer vision, with a focus on making advanced technologies more accessible and effective. His primary research areas include legged robotics, kinematics analysis, and deep learning-based image enhancement. Rahman’s most impactful contribution is his work on quadruped robots, where he pioneered a dynamic, low-cost approach to designing and simulating a 12-degree-of-freedom robot—a field traditionally hindered by high costs and complexity. His 2023 paper on this topic has garnered 10 citations, reflecting its practical significance for industries like education, security, and surveillance. Complementing this, his 2022 kinematics analysis paper (9 citations) provides foundational insights into forward and inverse kinematics, essential for precise robot manipulator control. In the domain of computer vision, Rahman developed a novel convolutional neural network method using dual attention units and selective kernel feature synthesis to enhance dark images, addressing noise and low contrast (4 citations). His work bridges hardware and software, offering scalable solutions for real-world applications.