Muhammad Sheikh Sadi

Khulna University of Engineering and Technology

Papers

Total Citations

H-Index

About

Muhammad Sheikh Sadi is a researcher advancing assistive and autonomous technologies at the intersection of the Internet of Things (IoT), human-computer interaction, and robotics. His work focuses on creating affordable, accessible systems that empower individuals with disabilities and enhance everyday automation. His most cited paper, "Finger-Gesture Controlled Wheelchair with Enabling IoT" (2022, 33 citations), proposes a low-cost, gesture-controlled smart wheelchair integrated with an IoT-enabled fall detection mechanism, directly addressing critical safety and accessibility gaps in modern assistive mobility devices. More recently, Sadi introduced "VIoT: A Voice and IoT Controlled Unmanned Automated Vehicle" (2024), a pioneering UAV system that combines Bengali voice commands, IoT connectivity, and Bluetooth technology on a Rock Pi 3a platform, enabling intuitive remote control through a custom Android app. This work demonstrates his commitment to breaking language and cost barriers in robotics. With a growing citation footprint, Sadi’s contributions are notable for their practical, user-centered design, offering scalable solutions that merge cutting-edge IoT with real-world assistive and autonomous applications—making technology more inclusive and responsive to diverse user needs.