Sajja Suneel
Papers
4
Total Citations
24
H-Index
2
About
Sajja Suneel is a rising researcher at the forefront of integrating the Internet of Things (IoT) and Artificial Intelligence (AI) into life-saving robotics. His work centers on developing intelligent robotic systems for critical applications, primarily in disaster response and firefighting. Suneel’s major contributions include the design of an IoT-assisted firefighting robot that leverages intelligent sensor associations for autonomous fire, smoke, and gas detection—a paper that has already garnered 19 citations since its 2024 publication. He has further advanced the field with a human detection and rescue robot, described as a "game changer" for disaster environments, and an AI-assisted rescue robot that uses advanced sensor support to identify human presence in challenging scenarios. His technical prowess is also evident in "DynamicVisionCore," a predictive object tracking framework that achieves a remarkable Multi-Object Tracking Accuracy (MOTA) of 72.5% for real-time robotics applications. With a growing portfolio of highly cited, application-driven research, Suneel is establishing himself as a key innovator in using smart technologies to enhance safety and efficiency in emergency response.
Research Focus
Key Achievements
Top Papers
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