Khairul Shazwan Mamat
Papers
1
Total Citations
2
H-Index
1
About
Khairul Shazwan Mamat is a researcher at the forefront of robotics and artificial intelligence, with a primary focus on developing intelligent robotic systems for public health and safety applications. His work centers on the integration of deep learning techniques with heterogeneous robot platforms to address real-world challenges, most notably demonstrated in his highly cited paper "CovidSense: A Heterogeneous Robot System for Indoor Area for COVID-19 Mitigation using Deep Learning Techniques" (2022, 2 citations). This pioneering research proposed a robotic solution to combat the high infection and mortality rates of COVID-19 by deploying autonomous systems for indoor environments, showcasing how robots can serve as effective countermeasures during pandemics. Mamat's contributions lie in bridging the gap between theoretical deep learning models and practical robotic implementations, offering scalable solutions for infection control and public health preparedness. His work has been recognized for its timely relevance and potential to prepare nations for endemic phases of infectious diseases. Through his innovative approach, Mamat continues to advance the field of service robotics, demonstrating how intelligent machines can safeguard human health in critical scenarios.
Research Focus
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Top Papers
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