Yuliana Mose

Papers

Total Citations

H-Index

About

Yuliana Mose is a researcher at the forefront of applying artificial intelligence to marine conservation, with a particular focus on real-time wildlife monitoring. Her key research areas include deep learning, computer vision, and autonomous robotics for environmental protection. Mose’s most notable contribution is her work on streamlining deep learning networks for sea turtle detection, a critical step in preserving endangered species and their habitats. Her 2024 paper on this topic, which has already garnered 4 citations, addresses the challenge of enabling robotic systems to automatically and efficiently identify sea turtles in real-time, bridging the gap between advanced AI and practical conservation needs. By optimizing neural networks for speed and accuracy, Mose’s research directly supports efforts to monitor turtle behavior and protect marine ecosystems. Her work stands out for its interdisciplinary approach, combining cutting-edge technology with urgent ecological goals. As a rising voice in the field, Mose’s contributions are paving the way for more responsive and effective conservation tools, demonstrating how AI can be harnessed to safeguard biodiversity in a rapidly changing world.