Papers

1

Total Citations

7

H-Index

1

About

Mariam Akter Mimona is a rising researcher at the forefront of intelligent healthcare systems, whose work centers on the convergence of Machine Learning, Deep Learning, and the Internet of Things (IoT). Her most-cited paper, "Machine learning and IoT in healthcare: Recent advancements, challenges & future direction" (2025, 7 citations), provides a critical synthesis of how these technologies enable real-time health monitoring and the analysis of complex medical datasets. In this work, she systematically examines the transformative potential of IoT-driven devices paired with advanced algorithms to generate actionable clinical insights, while also mapping the pressing challenges—such as data security and model interpretability—that must be overcome for widespread adoption. Though early in her career, Mimona’s contributions are already shaping the discourse on evidence-based, technology-enabled medicine. Her research stands out for its clarity in bridging technical innovation with practical healthcare needs, offering a roadmap for future developments in remote patient monitoring and predictive diagnostics. As the demand for smart, data-driven healthcare solutions grows, Mimona’s work positions her as a key voice in guiding the next wave of integrated, intelligent medical systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Machine learning and IoT in healthcare: Recent advancements, challenges & future direction
7 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: International University of Business Agriculture and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago