Al Mominul Haque Badhan
Papers
1
Total Citations
1
H-Index
1
About
Al Mominul Haque Badhan is a rising researcher at the intersection of underwater robotics and artificial intelligence, with a focus on marine conservation and autonomous environmental monitoring. His most notable contribution is the development of a novel system that synergizes a tethered remotely operated vehicle (ROV) with the YOLOv7 deep learning architecture for the automated detection of giant clams—a critical indicator species for reef health. This work, published in 2025, has already garnered early citations, signaling its potential to transform how marine biologists conduct underwater surveys. Badhan’s research addresses the pressing need for efficient, non-invasive methods to monitor fragile ecosystems, combining real-time object detection with robotic mobility to reduce human diver risk and data collection time. His approach stands out for its practical integration of AI and hardware, offering a scalable solution for oceanographic studies. As an emerging voice in the field, Badhan is laying the groundwork for future innovations in autonomous underwater vehicles and computer vision, with implications for biodiversity tracking and climate change research. His work exemplifies how interdisciplinary engineering can directly support global conservation efforts.
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Top Papers
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