Yar Muhammad

Papers

Total Citations

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About

Yar Muhammad is a researcher at the forefront of intelligent systems and the Internet of Things (IoT), with a focus on creating accessible, human-centric navigation technologies. His most-cited work, "An Intelligent Multi-Floor Navigational System Based on Speech, Facial Recognition and Voice Broadcasting Using Internet of Things," published in 2022 with 4 citations, introduces a groundbreaking approach to indoor navigation. By integrating speech and facial recognition with voice broadcasting, Muhammad’s system enables users to locate specific destinations in unfamiliar, multi-floor environments—directly addressing the limitations of traditional GPS in complex indoor spaces. This work exemplifies his commitment to merging IoT and cyber-physical systems with mobile platforms, making navigation more intuitive and inclusive, particularly for individuals with visual impairments or those unfamiliar with a building’s layout. Muhammad’s contributions highlight the transformative potential of combining multimodal biometrics with real-time IoT data, paving the way for smarter, more responsive assistive technologies. His research not only advances the field of intelligent navigation but also underscores the societal impact of engineering solutions that prioritize user accessibility and real-world applicability.