Aruna Bhat
Papers
3
Total Citations
23
H-Index
3
About
Aruna Bhat is a researcher whose work spans the intersecting domains of underwater computer vision, deep learning-based image processing, and next-generation healthcare systems. With a growing body of work that has collectively garnered over 20 citations, Bhat has established a meaningful presence in applied artificial intelligence and marine technology research. Among Bhat's most recognized contributions is a comprehensive investigation into underwater image enhancement using deep learning techniques, addressing critical challenges in marine engineering and aquatic robotics — fields where visual clarity directly impacts autonomous decision-making. Complementing this, Bhat's work on fast, real-time underwater image enhancement tackles the practical demands of live ocean exploration systems, where computational efficiency is paramount alongside image quality. Beyond marine applications, Bhat has ventured into the frontier of personalized medicine through research on Healthcare 5.0, exploring how emerging technologies can transform reactive medical practice into proactive, individualized care — particularly for complex conditions such as cancer and Alzheimer's disease. Bhat's research reflects a versatile intellectual curiosity, bridging underwater robotics and biomedical innovation. For students and researchers working at the intersection of computer vision, deep learning, and real-world applications, Bhat's publications offer both technical depth and forward-looking perspectives worth exploring.
Research Focus
Key Achievements
Top Papers
- 1A Detailed Understanding of Underwater Image Enhancement using Deep Learning12 citations · 2021
- 2Healthcare 5.0: A Study on Improving Personalized Care7 citations · 2022
- 3Fast Under Water Image Enhancement for Real Time Applications4 citations · 2021