Mst. Shamima Hossain
Papers
1
Total Citations
31
H-Index
1
About
Mst. Shamima Hossain is a researcher at the forefront of applying artificial intelligence and robotics to environmental sustainability. Her key research areas include autonomous systems, deep learning, and object detection, with a primary focus on developing intelligent solutions for waste management. Her most impactful work, "Autonomous Trash Collector Based on Object Detection Using Deep Neural Network" (2019, 31 citations), addresses the critical global issue of improper waste disposal by designing a mobile robot capable of autonomously detecting and collecting trash from the ground. This contribution demonstrates a practical fusion of computer vision and robotics, offering a scalable, technology-driven approach to reducing environmental pollution. By leveraging deep neural networks for real-time object recognition, Hossain’s system exemplifies how AI can be harnessed for ecological benefit. Her work is particularly notable for its direct applicability in smart cities and public spaces, where autonomous trash collection can enhance cleanliness and reduce human labor. With growing concerns over non-biodegradable waste, Hossain’s research stands as a pioneering step toward automated, sustainable waste management, inspiring further innovation in eco-friendly robotics.
Research Focus
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Top Papers
- 1