Md Zonayed

Papers

Total Citations

H-Index

About

Md Zonayed is an emerging researcher at the forefront of intelligent healthcare systems, with a primary focus on the convergence of machine learning, deep learning, and the Internet of Things (IoT). His most cited work, "Machine learning and IoT in healthcare: Recent advancements, challenges & future direction" (2025, 7 citations), provides a comprehensive survey of how AI-driven analytics and IoT-enabled devices are revolutionizing real-time health monitoring. Zonayed’s contribution lies in systematically mapping how complex medical datasets can be transformed into actionable clinical insights, thereby advancing evidence-based decision-making. His research identifies key challenges—such as data security and model interpretability—while charting a clear future direction for scalable, intelligent health systems. Additionally, his work on "Sensors and Actuators" (2024, 2 citations) complements this focus, exploring the hardware-software interface critical for deploying smart healthcare solutions. Though early in his career, Zonayed’s synthesis of cutting-edge technologies positions him as a promising voice in digital health, with his work already informing researchers and practitioners seeking to bridge AI innovation with practical, life-saving applications.