P. Jayarajan
Papers
2
Total Citations
19
H-Index
2
About
Dr. P. Jayarajan is a researcher at the forefront of integrating intelligent systems with real-world infrastructure, focusing on the intersection of reinforcement learning, the Internet of Things (IoT), and industrial automation. His most influential work, "Reinforcement Learning Concepts Ministering Smart City Applications Using IoT" (2020, 16 citations), establishes a foundational framework for applying adaptive AI to urban challenges, demonstrating how machine learning can optimize resource management and decision-making in smart environments. Complementing this, his research on "Analysis and implementation of multi-protocol gigabit Ethernet switch for real-time control systems" (2021, 3 citations) tackles the critical need for deterministic, high-speed data exchange in industrial settings. This work directly addresses the digitization of production systems, enabling seamless communication between machine vision sensors, collaborative robots, and programmable logic controllers. By bridging the gap between theoretical AI models and practical, low-latency networking hardware, Dr. Jayarajan’s contributions are pivotal for advancing both smart city infrastructure and Industry 4.0 automation, offering scalable solutions for complex, real-time control systems.
Research Focus
Key Achievements
Top Papers
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- 2