Titus Ifeanyi Chinebu
Papers
2
Total Citations
9
H-Index
1
About
Titus Ifeanyi Chinebu is a researcher at the forefront of integrating networked robotics and the Internet of Things (IoT) to combat infectious diseases. His work focuses on developing smart healthcare infrastructure that leverages autonomous systems for pandemic prediction, screening, diagnosis, and treatment. Chinebu’s most cited paper, “Mitigating COVID-19 Spread in Closed Populations Using Networked Robots and Internet of Things” (2024, 8 citations), demonstrates how IoT-networked robots can identify and control COVID-19 variants through physiological intervention, offering a scalable solution for high-risk environments. His follow-up work, “HAC-19: A Co-Infection Model for Infectious Diseases Using IoT-Networked Robots” (2025), extends this framework to address co-infections, showcasing the adaptability of his models. By combining edge computing with robotic nursing, Chinebu’s contributions pave the way for resilient, automated public health responses. His research is particularly notable for its practical focus on closed populations—such as hospitals or dormitories—where rapid containment is critical. With growing citation impact, Chinebu is shaping a future where intelligent machines become frontline defenders against global health threats.
Research Focus
Key Achievements
Top Papers
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- 2