S. Kalimuthu Kumar

Kalasalingam Academy of Research and Education

Papers

Total Citations

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About

S. Kalimuthu Kumar is a prominent researcher at the forefront of the Internet of Things (IoT), smart automation, and robotics, with a particular focus on the streaming analytical challenges that underpin real-time decision-making in intelligent systems. His most-cited work, "IoT in Smart Automation and Robotics with Streaming Analytical Challenges" (2021), has garnered 7 citations, establishing a foundational framework for integrating IoT data streams with robotic control and automation. This contribution addresses critical bottlenecks in latency, data processing, and system scalability, enabling more responsive and autonomous smart environments. Kumar’s research bridges the gap between theoretical IoT architectures and practical robotic applications, offering solutions that enhance efficiency in manufacturing, logistics, and smart infrastructure. His work is notable for its interdisciplinary approach, combining sensor networks, edge computing, and machine learning to tackle the complexities of real-time data analytics. By highlighting the challenges of streaming data in automation, Kumar has provided a roadmap for future innovations in Industry 4.0 and intelligent robotics, making his research essential reading for students and engineers seeking to advance the next generation of connected, autonomous systems.