Hamed Keshmiri Neghab
Papers
1
Total Citations
45
H-Index
1
About
Dr. Hamed Keshmiri Neghab is a pioneering researcher at the intersection of cyber-physical systems, medical robotics, and intelligent control. His work focuses on developing advanced frameworks for healthcare, particularly through the integration of digital twins, stochastic model predictive control, and machine learning. His most cited paper, "Digital Twin of a Magnetic Medical Microrobot with Stochastic Model Predictive Controller Boosted by Machine Learning in Cyber-Physical Healthcare Systems" (2022, 45 citations), introduces a groundbreaking approach to precision medicine by creating a virtual replica of a magnetic microrobot. This digital twin enables real-time, adaptive control of microrobots for targeted drug delivery and minimally invasive procedures, significantly enhancing the safety and efficacy of treatments. Dr. Neghab’s contributions are pivotal in advancing cyber-physical healthcare systems, bridging the gap between physical medical devices and their digital counterparts. His work not only addresses critical challenges in autonomous medical interventions but also sets a foundation for future innovations in smart healthcare. With a growing citation impact, Dr. Neghab is recognized as a key figure in the evolution of intelligent, data-driven medical technologies.
Research Focus
Key Achievements
Top Papers
- 1