Sayma Sultana Jhara

World University of Bangladesh

Papers

2

Total Citations

9

H-Index

2

About

Sayma Sultana Jhara is a rising researcher at the intersection of machine learning, the Internet of Things (IoT), and healthcare innovation. Her most-cited work, "Machine learning and IoT in healthcare: Recent advancements, challenges & future direction" (2025, 7 citations), explores how integrating ML and deep learning with IoT-enabled devices enables real-time health monitoring and transforms complex medical data into actionable clinical insights. This paper has quickly become a reference point for researchers seeking to understand the evolving landscape of intelligent healthcare systems. Jhara also contributes to foundational engineering knowledge through her work on "Sensors and Actuators" (2024, 2 citations). By bridging advanced computational techniques with practical sensor technologies, she is helping to shape the future of evidence-based, data-driven medicine. Her research addresses critical challenges in real-time diagnostics and patient monitoring, positioning her as a promising voice in the push toward more responsive, intelligent healthcare solutions.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
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: 9
🏛 Institutions: World University of Bangladesh

Top Papers

  1. 1
  2. 2
    Sensors and Actuators
    2 citations · 2024

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago