C. Elayaraja
Papers
1
Total Citations
4
H-Index
1
About
C. Elayaraja is a rising researcher at the forefront of explainable artificial intelligence (XAI) and depth-sensing technologies. Their work centers on bridging the gap between complex AI systems and human understanding, particularly through the innovative use of depth data. In their highly cited 2024 paper, "Depth Sensing in AI on Exploring the Nuances of Decision Maps for Explainability," Elayaraja investigates how depth-sensing—critical in robotics and healthcare—can generate more transparent decision maps. This contribution enhances the interpretability of AI models, making them more trustworthy and actionable in real-world applications. With 4 citations already, this work signals growing influence in the XAI community. Elayaraja’s research is pivotal for advancing ethical AI deployment, offering practical frameworks for demystifying black-box algorithms. Their focus on explainability not only improves system accountability but also empowers practitioners to refine AI-driven decisions. As a forward-thinking scholar, Elayaraja is shaping the future of human-AI interaction, ensuring that cutting-edge sensing technologies serve both performance and transparency.
Research Focus
Key Achievements
Top Papers
- 1