Papers
3
Total Citations
38
H-Index
3
About
Suriya Murugan is a rising researcher at the intersection of artificial intelligence and environmental sustainability. Her work primarily focuses on computer vision, deep learning, and their real-world applications in smart robotics and agriculture. Murugan’s most impactful contribution is an improved single-shot detection method for a vision-based water garbage cleaning robot (2023, 25 citations), which addresses the critical global challenge of plastic pollution in waterways by enabling autonomous trash identification and collection. She also explores affective computing through a bi-model emotional AI system for audio-visual human emotion detection using hybrid deep learning (2024, 8 citations), and has surveyed the significance of AI in smart agriculture (2024, 5 citations), covering methods, technologies, and emerging trends. These works demonstrate her versatility in applying AI to both environmental and human-centric problems. With a growing citation footprint and a focus on deployable, socially beneficial technologies, Murugan is establishing herself as a promising voice in applied artificial intelligence and sustainable engineering.
Research Focus
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Top Papers
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