Shashi Jawla

Papers

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About

Shashi Jawla is an emerging researcher at the forefront of intelligent systems and IoT-enabled safety technologies. His work centers on the intersection of robotics, embedded systems, and real-time environmental monitoring, with a particular focus on developing autonomous solutions for hazard detection and response. His most cited paper, "Fire Neutralizing Robot with Night Vision Camera Under IoT Framework" (2023), exemplifies this focus by presenting a robotic platform that integrates night vision capabilities with IoT connectivity for remote fire suppression. This work has already garnered 4 citations, signaling growing interest in practical, low-cost automation for disaster management. Jawla’s contributions lie in bridging the gap between sensor fusion and autonomous decision-making, enabling robots to operate effectively in low-visibility and high-risk environments. His research is particularly notable for its emphasis on real-world deployability, combining robust hardware design with cloud-based control architectures. As a researcher, Jawla is helping to shape the next generation of safety robotics, where intelligent machines can augment human responders in life-threatening scenarios. His work holds promise for applications in industrial safety, smart city infrastructure, and emergency response systems.