Muhammad Abul Hassan

Papers

Total Citations

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About

Dr. Muhammad Abul Hassan is a forward-thinking researcher at the intersection of the Internet of Things (IoT), artificial intelligence, and assistive technologies. His work focuses on developing intelligent, multi-modal systems that enhance human-environment interaction, particularly for navigation and accessibility. His most cited paper, "An Intelligent Multi-Floor Navigational System Based on Speech, Facial Recognition and Voice Broadcasting Using Internet of Things" (2022, 4 citations), exemplifies his core contribution: integrating speech recognition, facial recognition, and voice broadcasting into a single, IoT-driven framework. This system addresses a critical real-world challenge—wayfinding in complex, unfamiliar indoor spaces—by combining sensory inputs to create a more intuitive and inclusive navigation aid. Dr. Hassan’s research demonstrates a clear commitment to leveraging modern technological advances, such as mobile IoT integration, to solve practical problems. His work is particularly notable for its potential to assist individuals with visual impairments or cognitive challenges, making public and commercial buildings more accessible. By bridging the gap between cutting-edge AI and everyday usability, Dr. Hassan is laying the groundwork for smarter, more responsive environments that respond to human needs in real time.