Mohammad Izzuddin Bin Ruslan
Papers
1
Total Citations
1
H-Index
1
About
Mohammad Izzuddin Bin Ruslan is a rising researcher at the forefront of marine robotics and artificial intelligence, with a focused expertise in autonomous underwater systems and marine conservation technology. His most notable contribution is the development of a pioneering framework that synergizes tethered remotely operated vehicles (ROVs) with the YOLOv7 deep learning architecture for the automated detection of giant clams—a critical species for reef health. This work, published in 2025, demonstrates a novel integration of real-time object detection with underwater robotics, offering a scalable, non-invasive tool for marine biodiversity monitoring. Though early in its citation impact, the paper represents a significant methodological advance, bridging computer vision and marine biology. Mohammad’s research holds promise for transforming how scientists survey and protect vulnerable marine ecosystems, particularly in Southeast Asian waters. His work underscores a growing trend toward deploying AI-driven autonomous systems for environmental stewardship, positioning him as an innovator at the intersection of robotics, machine learning, and conservation science.
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Top Papers
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