Hadj Bourdoucen
Papers
2
Total Citations
28
H-Index
2
About
Hadj Bourdoucen is a researcher at the forefront of applying artificial intelligence and computer vision to critical environmental and industrial challenges. His work primarily focuses on intelligent monitoring systems, with key contributions in two major domains: aquatic ecosystem surveillance and environmental safety in the energy sector. Bourdoucen’s most impactful work, "Computer vision based approaches for fish monitoring systems: a comprehensive study" (2025), has already garnered 26 citations, establishing a foundational review of benchmark datasets and AI-driven methodologies for automated fish observation—a field with growing applications in aquaculture and conservation. He further demonstrates the versatility of his expertise in "Environmental Monitoring in the Oil and Gas Industry Using Machine Vision Associated with Robotics and AI" (2025), where he explores how unmanned vehicles and artificial intelligence can overcome the limitations of traditional methods by providing real-time data and broad spatial coverage. By bridging the gap between advanced computational techniques and practical environmental stewardship, Bourdoucen is shaping the future of automated monitoring, offering scalable solutions that promise to enhance both ecological research and industrial safety.
Research Focus
Key Achievements
Top Papers
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