Thankappan Sasilatha

About

Dr. Thankappan Sasilatha is a leading researcher at the intersection of marine corrosion science and artificial intelligence, whose work is pioneering the use of deep learning and machine learning for underwater applications. Her primary research areas include corrosion inhibition, marine materials protection, and intelligent computer vision for autonomous underwater systems. Dr. Sasilatha’s most significant contributions are twofold. First, she has developed novel deep learning-based methods for underwater metal object detection, enabling autonomous robots to identify buried or submerged structures in challenging deep-sea environments. Second, she has made critical advances in corrosion protection, demonstrating how paint coatings can shield mild steel from the corrosive effects of chloride ions in seawater. Her highly cited 2022 case study, which integrates both object detection and corrosion protection, has garnered 10 citations, while her work on applying machine learning to corrosion inhibition studies has received 8 citations. By combining AI with traditional materials science, Dr. Sasilatha is helping to make underwater autonomous operations safer and more reliable, directly supporting the development of deep-sea resources and infrastructure.

Research Focus

Key Achievements

Top Papers

1. 1
   Deep learning-based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study: A case study: Part B: Corrosion protection of mild steel used in underwater study

   10 citations · 2022
2. 2
   Application of machine learning in corrosion inhibition study

   8 citations · 2022
3. 3
   Deep learning-based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study: A case study: Part A: Deep learning-based underwater metal object detection using input image data

   7 citations · 2022

Key Collaborators

Contact & Links