Dhiraj Kapila
Papers
2
Total Citations
22
H-Index
2
About
Dhiraj Kapila is a forward-thinking researcher at the intersection of artificial intelligence, manufacturing, and the Internet of Things (IoT). His work focuses on developing intelligent systems that transform raw industrial data into actionable insights. Kapila’s most impactful contribution is his pioneering work on AI-enhanced predictive maintenance for hybrid roll-to-roll manufacturing. By integrating multi-sensor data with self-supervised learning, he has created a framework that can predict equipment failures before they occur, significantly reducing downtime and operational costs in advanced manufacturing environments. This work, published in 2024, has already garnered 16 citations, signaling its rapid influence in the field. Additionally, Kapila has explored the synergy between machine learning and IoT resource allocation, demonstrating how automated data analysis can optimize network performance and decision-making. His research not only pushes the boundaries of smart manufacturing but also provides practical solutions for the growing complexity of IoT ecosystems. Kapila’s ability to bridge theoretical machine learning with real-world industrial applications marks him as a rising voice in the drive toward fully autonomous, data-driven production systems.
Research Focus
Key Achievements
Top Papers
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- 2