Rajendran Santhammal
Papers
2
Total Citations
17
H-Index
2
About
Rajendran Santhammal is a researcher whose work bridges the critical intersection of artificial intelligence and marine corrosion science. Her primary research areas include deep learning-based computer vision for underwater object detection and the electrochemical corrosion protection of metals in aggressive marine environments. In her notable two-part case study (2022), Santhammal made a dual contribution: Part A developed a deep learning model for detecting buried metal objects in underwater imagery, addressing a key challenge for autonomous deep-sea operations; Part B investigated the corrosion protection of mild steel in 3.5% sodium chloride solution using paint coatings, a practical solution for safeguarding underwater robotic equipment. Her work has accumulated over 17 citations, demonstrating its relevance to both the AI and materials science communities. By combining intelligent computer vision with corrosion engineering, Santhammal’s research directly supports safer and more durable underwater exploration, offering valuable insights for students and researchers working on autonomous marine systems and corrosion-resistant materials.
Research Focus
Key Achievements
Top Papers
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