Molla Rashied Hussein

Papers

Total Citations

H-Index

About

Molla Rashied Hussein is a pioneering researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and robotics, with a primary focus on transforming healthcare and industrial automation. His most cited work, "Machine learning and IoT in healthcare: Recent advancements, challenges & future direction" (2025, 7 citations), critically examines how integrating Machine Learning and Deep Learning with IoT-enabled devices enables real-time health monitoring and the analysis of complex medical datasets, driving evidence-based clinical decisions. This contribution highlights his role in advancing smart healthcare systems. Additionally, his paper "Design and Development of a Pipeline Inspection Robot for Visual Inspection and Fault Detection" (2021, 6 citations) showcases his expertise in robotics, where he engineered a practical solution for automated infrastructure maintenance. Hussein’s research bridges theoretical innovation with tangible applications, addressing pressing challenges in both medical diagnostics and industrial safety. His work not only garners citations but also inspires further exploration into AI-driven, IoT-enhanced systems, making him a notable figure for students and researchers interested in the future of intelligent, connected technologies.