S. M. Rezwanul Haque
Papers
2
Total Citations
14
H-Index
2
About
S. M. Rezwanul Haque is a researcher at the forefront of applied artificial intelligence and robotics, with a focus on environmental monitoring and industrial automation. His work centers on leveraging deep learning and computer vision to solve real-world problems, from urban aesthetics to manufacturing efficiency. Haque’s most notable contribution is his pioneering study on “Deep-Learning-Based Real-Time Visual Pollution Detection in Urban and Textile Environments” (2024), which has already garnered 10 citations. This research introduces an innovative system that integrates a deep learning network with robotic vision and Google Street View to automatically identify and classify visual pollutants—such as cluttered signage or waste—that degrade the environmental physiognomy of cities and textile zones. By enabling real-time, autonomous detection, his work offers a scalable tool for urban planners and environmental agencies to combat the “unbeaten scourge” of visual pollution. Additionally, Haque has explored cooperative robotics in industrial settings, as seen in his 2023 study on robots that detect object shape, color, and size for collaborative tasks (4 citations). His research bridges the gap between theoretical AI and practical deployment, demonstrating how intelligent systems can enhance both environmental quality and workplace productivity.
Research Focus
Key Achievements
Top Papers
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