Mohammad Jamshidi
University of West Bohemia, Islamic Azad University of Kermanshah
Papers
8
Total Citations
116
H-Index
4
About
Mohammad Jamshidi is a pioneering researcher whose work spans the intersection of robotics, cyber-physical systems, and intelligent 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 forward-looking approach—integrating digital twins, machine learning, and stochastic control to advance minimally invasive medical interventions. This work underscores his commitment to translating cutting-edge theory into practical healthcare solutions. Jamshidi has also made foundational contributions to computer-aided control systems engineering, as reflected in his highly cited 1992 paper (27 citations), which addressed algorithmic and AI-driven methods for system identification and adaptive control. His innovative concept of "socialization of industrial robots" (2018, 24 citations) proposes intelligent human-robot collaboration to boost manufacturing productivity, while his early work on "robot shaping" (1996) explored learning autonomous systems through reinforcement learning. With over 100 citations across his key publications, Jamshidi’s research continues to shape the fields of medical robotics, industrial automation, and intelligent control systems, making him a notable figure in modern robotics and cyber-physical healthcare.
Research Focus
Key Achievements
Top Papers
- 1
- 2Recent Advances in Computer-Aided Control Systems Engineering27 citations · 1992
- 3
- 4Robot shaping: The Hamster Experiment8 citations · 1996
- 5
- 6
- 7
- 8