Papers
3
Total Citations
38
H-Index
3
About
Babitha Lincy R is a rising researcher at the intersection of artificial intelligence and environmental sustainability, with key contributions spanning smart robotics, affective computing, and precision agriculture. Her most impactful work introduces an improved single-shot detection method for a vision-based water garbage cleaning robot—a system that autonomously identifies and collects plastic waste from polluted waterways. This paper, with 25 citations, addresses the urgent global crisis of aquatic plastic pollution by replacing manual cleanup with intelligent, computer-vision-driven automation. In affective AI, she developed a Bi-Model Emotional framework that fuses audio and visual data using hybrid deep learning to detect human emotions, achieving 8 citations for its novel multimodal approach. Her work in smart agriculture surveys AI methods, technologies, and challenges, providing a roadmap for crop monitoring, yield prediction, and resource optimization, with 5 citations. Together, these contributions demonstrate her versatility in applying deep learning to real-world problems—from cleaning rivers to reading human expressions and feeding a growing population. Babitha’s research is particularly notable for its practical, deployable solutions that bridge computer vision, robotics, and emotional intelligence, marking her as a promising voice in applied AI.
Research Focus
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Top Papers
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