Senthil Kumar Jagatheesaperumal
Papers
7
Total Citations
307
H-Index
5
About
Senthil Kumar Jagatheesaperumal is a versatile researcher whose work spans the intersections of artificial intelligence, big data, robotics, and smart manufacturing. He has made significant contributions to the field of Industry 4.0, most notably through his highly influential survey on the convergence of AI and big data in industrial settings, which has accumulated over 264 citations and stands as a foundational reference for researchers exploring smart manufacturing, Industrial Internet of Things (IIoT), and robotics integration. His work thoughtfully maps the applications, techniques, and challenges facing next-generation industrial systems, offering a vital roadmap for both academia and industry. Beyond Industry 4.0, Jagatheesaperumal has channeled his expertise into safety-critical applications, developing deep learning-based frameworks for automated fire extinguishing systems and advancing situation-aware disaster management through visual servoing techniques. His research extends further into autonomous robotics, including decentralized visual homing networks, mobile robotic manipulators for object decluttering, and adaptive control algorithms for robotic trajectory tracking. Together, these contributions reflect a researcher deeply committed to bridging theoretical AI advances with real-world robotic and industrial applications. For students and practitioners alike, his body of work offers both broad strategic insights and technically rigorous solutions across some of engineering's most pressing challenges.
Research Focus
Key Achievements
Top Papers
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- 2Automated Fire Extinguishing System Using a Deep Learning Based Framework14 citations · 2023
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