J. Jebastine
Papers
1
Total Citations
2
H-Index
1
About
J. Jebastine is an emerging researcher at the forefront of intelligent systems, specializing in the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) for real-world automation and surveillance. Their most cited work, "Enhancing Wireless Surveillance Robot with Real-Time Feedback with AI & IoT Integration" (2024, 2 citations), demonstrates a practical, hands-on approach to engineering. This paper details the construction of a sophisticated robotic platform using an Arduino Mega and ESP32-CAM, enabling real-time environmental monitoring and adaptive response. By fusing hardware design with AI-driven feedback loops, Jebastine’s contribution addresses critical needs in security and remote inspection, offering a scalable prototype for smart surveillance systems. Though early in their citation trajectory, this work highlights a clear focus on bridging embedded systems with intelligent decision-making. Jebastine’s research is particularly relevant for students and engineers exploring low-cost, high-impact solutions in robotics and IoT, showcasing how accessible components can be leveraged to create responsive, autonomous technologies. Their work signals a promising direction in applied AI for physical systems.
Research Focus
Key Achievements
Top Papers
- 1