Hamid Keshmiri Neghab
Papers
1
Total Citations
45
H-Index
1
About
Hamid Keshmiri Neghab is a pioneering researcher at the intersection of robotics, control systems, and cyber-physical healthcare. His work centers on developing intelligent, autonomous systems for medical applications, with a particular focus on magnetic microrobotics and stochastic model predictive control. 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), exemplifies his groundbreaking approach. In this work, he integrates digital twin technology with machine learning-enhanced control to create a virtual replica of a medical microrobot, enabling precise, real-time decision-making for targeted drug delivery and minimally invasive procedures. This contribution addresses a critical challenge in healthcare: bridging the gap between physical microrobots and their cyber environments to ensure safe, efficient operation. By fusing stochastic modeling with predictive control, Keshmiri Neghab has advanced the reliability of autonomous medical systems, laying the groundwork for next-generation cyber-physical healthcare solutions. His research not only demonstrates high citation impact but also offers a practical pathway toward intelligent, adaptive therapies, making him a key figure in the evolution of smart medical robotics.
Research Focus
Key Achievements
Top Papers
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