Papers
2
Total Citations
8
H-Index
2
About
Muhammad Shakeel is a researcher at the forefront of integrating Internet of Things (IoT), edge computing, and robotics to create intelligent, autonomous systems for real-world applications. His work focuses on two key areas: developing power-efficient hardware accelerators for socially assistive robotics (SAR) and designing IoT-based localization systems for dynamic environments. Shakeel’s major contributions include the design of an FPGA-based power-efficient edge server that accelerates speech interfaces for SAR, addressing the critical need for sustainable, in-house computation to support the growing elderly and disabled populations requiring care. Additionally, his work on a localization-based waiter robot demonstrates practical IoT integration for autonomous navigation in dynamic settings. With over 8 citations across his most-cited papers, Shakeel’s research is gaining traction for its innovative approach to combining hardware efficiency with real-time responsiveness. His notable achievement lies in advancing SAR as a sustainable solution through edge computing, reducing reliance on cloud infrastructure while enhancing autonomy and security. Shakeel’s work is a compelling example of how IoT and edge computing can transform assistive robotics into accessible, reliable tools for societal benefit.
Research Focus
Key Achievements
Top Papers
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- 2