Abdul Azeez

Papers

Total Citations

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About

Abdul Azeez is a researcher advancing the frontiers of healthcare and transportation through innovative applications of the Internet of Things (IoT) and machine learning. His work centers on developing intelligent, low-cost systems that address critical real-world problems, from remote patient monitoring to railway safety. Azeez’s most cited paper, "Teleconsultation and Human Parameter Monitoring system using Arduino UNO and NODE MCU" (2022, 7 citations), proposes a "Virtual Doctor" model that integrates sensors for heart rate, temperature, and SpO2 with a UVC sterilization unit, offering a practical solution for accessible telemedicine. Building on this, his recent work, "Advanced IoT and Machine Learning Solutions for Railway Safety" (2024, 3 citations), introduces a railway track crack detection system that uses a camera and machine learning algorithms to proactively identify defects, aiming to prevent accidents. By combining hardware prototyping with intelligent data analysis, Azeez demonstrates a clear commitment to creating impactful, deployable technologies. His research not only showcases technical skill but also a strong focus on societal benefit, making him a promising voice in the fields of embedded systems and applied AI.