Arun A. Balakrishnan
Papers
1
Total Citations
6
H-Index
1
About
Arun A. Balakrishnan is a researcher whose work lies at the intersection of computer vision and marine biology, with a primary focus on deep learning-based image analysis. His key research areas include image segmentation, particularly for underwater environments, and the application of convolutional neural networks to biological and ecological challenges. Balakrishnan’s most notable contribution is his comparative analysis of U-Net-based segmentation models on underwater images of different fish species, a study that addresses critical challenges in robotic vision, navigation, and the exploration of marine biological resources. This work, published in 2021, has already garnered 6 citations, demonstrating its relevance to researchers working on autonomous underwater systems and marine biodiversity monitoring. By improving segmentation accuracy in complex underwater conditions, Balakrishnan’s research supports advancements in virtual reality, augmented reality, and the sustainable management of marine gene banks. His work is particularly valuable for students and researchers interested in the intersection of artificial intelligence and environmental science, offering practical insights into how deep learning can be adapted to real-world, low-visibility scenarios.
Research Focus
Key Achievements
Top Papers
- 1