Papers
3
Total Citations
27
H-Index
3
About
Deep Patel is a rising researcher at the forefront of smart manufacturing and Industry 4.0, specializing in the integration of cyber-physical systems, the Internet of Things (IoT), and robotics to revolutionize traditional machining processes. His work focuses on real-time performance monitoring and automation, notably developing a novel system for digitalizing CNC milling machines using ROS 2 and AWS IoT—a contribution that has garnered 12 citations and is paving the way for more responsive, data-driven factories. Patel also designed and implemented an IoT-enabled, robot-integrated smart manufacturing work cell (9 citations), demonstrating how globalized production can become more efficient and sustainable through connected automation. Most recently, he has advanced machining process automation by combining robot-assisted imaging with CNN-based machine learning for CNC turning (6 citations), directly addressing the critical challenge of reducing machine downtime. His research consistently bridges the gap between theoretical CPS frameworks and practical, deployable solutions, making him a key voice in the transition toward agile, intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
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