Inam Ur Rehman
University of Malakand, Czech Technical University in Prague
Papers
2
Total Citations
56
H-Index
2
About
Dr. Inam Ur Rehman is at the forefront of integrating digital twins, the Internet of Robotic Things (IoRT), and machine learning to revolutionize remote healthcare. His research focuses on creating intelligent, virtual replicas of physical systems—particularly robotic devices—that can monitor patients in real time, a critical capability highlighted by the COVID-19 pandemic. His most cited work, "Digital-Twins-Based Internet of Robotic Things for Remote Health Monitoring of COVID-19 Patients" (2023), has already garnered 48 citations, establishing a foundational framework for using passive IoRT data to build dynamic health models. Building on this, his 2025 paper "Machine Learning and Digital-Twins-Based Internet of Robotic Things for Remote Patient Monitoring" (8 citations) advances the field by incorporating machine learning algorithms to enhance predictive analytics and autonomous decision-making within these virtual environments. Through these contributions, Dr. Rehman is pioneering a new paradigm where robotic systems, guided by digital twins, can proactively manage patient health, reduce hospital burdens, and enable safer, more efficient remote care. His work is a vital step toward a future where intelligent, connected robotics play a central role in global health security.
Research Focus
Key Achievements
Top Papers
- 1
- 2