Muhamad Sharifuddin Abd Rahim
Papers
1
Total Citations
2
H-Index
1
About
Muhamad Sharifuddin Abd Rahim is a robotics and artificial intelligence researcher whose work focuses on deploying autonomous systems to address real-world public health challenges. His key research areas include heterogeneous robot systems, deep learning, and human-robot interaction for safety-critical environments. Abd Rahim’s most notable contribution is the development of **CovidSense**, a heterogeneous robot system designed for indoor COVID-19 mitigation. This system leverages deep learning techniques to autonomously monitor and enforce health protocols, such as detecting mask-wearing and social distancing, thereby reducing human exposure to the virus. His work on CovidSense, published in 2022, has already garnered **2 citations**, reflecting its relevance in the ongoing effort to prepare for endemic phases of the pandemic. By integrating robotics with AI, Abd Rahim addresses the high infection rates and mortality associated with COVID-19, offering scalable solutions for hospitals, offices, and public spaces. His research stands out for its practical impact, demonstrating how robotics can serve as a frontline defense in global health crises. For students and researchers, Abd Rahim’s work exemplifies the intersection of engineering and societal benefit, inspiring future innovations in autonomous systems for emergency response.
Research Focus
Key Achievements
Top Papers
- 1