Sulaiman Aftan

Texas Tech University

Papers

1

Total Citations

3

H-Index

1

About

Sulaiman Aftan is at the forefront of integrating autonomous systems with healthcare technology, specializing in the Internet of Robotic Things (IoRT), digital twins, and remote patient monitoring. His most-cited work, "Implementing Autonomous Control in the Digital-Twins-Based Internet of Robotic Things for Remote Patient Monitoring" (2024), addresses a critical challenge in modern medicine: reducing the physical and mental strain on healthcare professionals by eliminating the need for constant skin-to-skin contact and prolonged observation. By developing a framework that combines digital twins with autonomous control in IoRT, Aftan enables continuous, contactless patient monitoring through wearable sensors and robotic systems. This innovation not only enhances patient safety but also significantly alleviates caregiver burnout. Though early in his career, his research has already garnered attention, with 3 citations highlighting its relevance to pressing healthcare demands. Aftan’s work represents a vital step toward scalable, intelligent telemedicine solutions, positioning him as a promising contributor to the future of autonomous healthcare.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Implementing Autonomous Control in the Digital-Twins-Based Internet of Robotic Things for Remote Patient Monitoring
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Texas Tech University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago