M. H. Supriya

Cochin University of Science and Technology

Papers

Total Citations

H-Index

About

M. H. Supriya is a researcher at the forefront of applying deep learning to challenging computer vision problems, with a primary focus on underwater image analysis and assistive human-computer interaction. Her most impactful work centers on semantic segmentation of underwater environments, where she has pioneered the use of U-Net architecture-based deep convolutional encoder-decoder models. Her seminal 2021 paper on this topic has garnered 38 citations, establishing a foundation for automated analysis of marine imagery. Supriya’s contributions are particularly significant in enabling robotic vision systems to navigate and explore underwater ecosystems, addressing critical challenges in marine biology and resource management. She has further advanced this field by conducting comparative analyses of U-Net variants on different fish species, demonstrating the practical applicability of her segmentation models. Beyond marine applications, Supriya has made notable contributions to accessibility technology, developing a deep neural network-based sign language recognition system (30 citations) that enhances human-computer interaction. Her work bridges the gap between cutting-edge deep learning techniques and real-world applications, from preserving marine biodiversity to improving communication for the hearing-impaired community.