Deepak Pandian
Papers
2
Total Citations
12
H-Index
2
About
Deepak Pandian is a researcher at the forefront of intelligent automation and robotic systems, with a primary focus on fault diagnosis and Robotic Process Automation (RPA). His most impactful work introduces an optimized deep learning framework for automated fault diagnosis in mobile robots designed for fire-fighting applications, a contribution that has already garnered 8 citations since its 2025 publication. This research addresses critical safety and reliability challenges in autonomous emergency-response robotics, leveraging advanced neural networks to detect system anomalies in real time. Pandian’s earlier work, "Surface Automation - Interacting with Applications using Black Box Approach" (2021, 4 citations), tackles a persistent hurdle in RPA: automating processes within constrained environments like virtual machines and legacy systems where traditional interface knowledge is unavailable. By proposing a black-box interaction method, he enables seamless automation in scenarios previously deemed impractical, expanding the reach of robotic process automation. Together, these contributions highlight Pandian’s dual expertise in deep learning-driven diagnostics and practical automation solutions, positioning him as a promising voice in both industrial robotics and enterprise automation research.
Research Focus
Key Achievements
Top Papers
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