Mahib Ullah

Papers

Total Citations

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About

Mahib Ullah is a researcher at the forefront of intelligent systems and the Internet of Things (IoT), with a focus on creating seamless human-computer interactions for real-world navigation challenges. His most-cited work, "An Intelligent Multi-Floor Navigational System Based on Speech, Facial Recognition and Voice Broadcasting Using Internet of Things" (2022, 4 citations), exemplifies his commitment to integrating cutting-edge technologies—such as speech and facial recognition—into practical, user-friendly solutions. By leveraging IoT and cyber-physical systems, Ullah addresses the critical need for accurate indoor navigation in unfamiliar environments, enabling mobile devices to guide users through complex multi-floor spaces. This work not only enhances accessibility but also demonstrates how multimodal biometric inputs can be fused with real-time data broadcasting to improve situational awareness. Ullah’s contributions are particularly notable for bridging the gap between theoretical IoT frameworks and deployable assistive technologies, offering a blueprint for smarter, more responsive navigation aids. His research holds significant promise for applications in smart buildings, healthcare facilities, and public infrastructure, where intuitive wayfinding is essential. With a growing citation footprint, Mahib Ullah is establishing himself as an innovator in intelligent, IoT-driven systems that prioritize user experience and practical impact.