Neha Saw

Indian Institute of Technology Hyderabad

Papers

Total Citations

H-Index

About

Neha Saw is an emerging researcher specializing in underwater robotics, computer vision, and environmental technology, with a focused commitment to addressing aquatic pollution through innovative autonomous systems. Her most notable contribution is the development of **Octacleaner**, an autonomous underwater robot designed to detect and collect submerged trash using YOLO (You Only Look Once) object detection algorithms. This work sits at a compelling intersection of deep learning, robotics, and environmental sustainability, tackling a critically underexplored problem — the accumulation of plastics, metals, glass, and organic waste on underwater surfaces that threatens aquatic ecosystems and accelerates the effects of global warming. Saw's research has demonstrated that real-time object detection frameworks like YOLO can be effectively adapted for challenging underwater visual environments, offering a scalable technological solution to a global environmental crisis. Her three closely related publications from 2023, collectively accumulating 14 citations within a short timeframe, reflect both the novelty and the growing academic interest in her approach. For students and researchers working in robotics, environmental computing, or AI-driven sustainability solutions, Saw's work represents an inspiring example of applied machine learning being harnessed for urgent ecological impact.