Papers
13
Total Citations
191
H-Index
7
About
Md. Rashedul Islam is a multidisciplinary researcher whose work spans human activity recognition, human-robot interaction, computer vision, and autonomous robotics. His research has made meaningful contributions to the development of intelligent sensing and interaction systems, accumulating over 180 citations across his published works. Islam's most influential contribution, "A Robust Feature Extraction Model for Human Activity Characterization" (2020, 48 citations), demonstrates his expertise in leveraging accelerometer and gyroscope sensor data for healthcare monitoring and industrial applications. His parallel focus on human-robot interaction is evident through pioneering work on hand gesture recognition and virtual keyboard systems, enabling intuitive non-touch interfaces for controlling semi-autonomous robots. In robotics navigation, Islam has advanced the classical A* pathfinding algorithm through optimized motion block strategies, with his 2024 enhanced version already garnering 42 citations — reflecting strong community interest in efficient autonomous robot movement. His work on cloud-robot frameworks and one-class support vector machines further demonstrates breadth in distributed AI systems. Beyond robotics and sensing, Islam has contributed to medical research, including a study on lung cancer in Bangladesh, and agricultural technology through deep learning-based rose grading systems. This diversity underscores his commitment to applying intelligent systems across domains that meaningfully impact human welfare and technological progress.
Research Focus
Key Achievements
Top Papers
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- 2Enhanced Robot Motion Block of A-Star Algorithm for Robotic Path Planning42 citations · 2024
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- 6Gestural flick input-based non-touch interface for character input11 citations · 2019
- 7Lung Cancer in Bangladesh7 citations · 2023
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