Papers

8

Total Citations

128

H-Index

7

About

Alireza Abbasimoshaei is a pioneering researcher at the intersection of rehabilitation robotics, intelligent control systems, and medical mechatronics. His work centers on developing advanced robotic systems for hand, wrist, and finger rehabilitation, with a particular focus on creating wearable, patient-adaptive devices that can operate both in clinical and home settings. His major contributions include the design of novel underactuated mechanisms for tendon injury rehabilitation and the integration of fuzzy sliding mode controllers to achieve smooth, adaptive motion assistance. Notably, he has pioneered the use of Electrical Impedance Tomography combined with artificial intelligence to create a control system that senses patient muscle activity in real time, enabling more responsive and personalized therapy. His most cited work, with over 30 citations, introduces a fuzzy sliding mode control for a wrist and finger rehabilitation robot, demonstrating his impact on the field. Beyond rehabilitation, Abbasimoshaei has contributed to robotic mechanisms for ultrasound imaging, including both novel designs and comprehensive reviews. With multiple papers published between 2014 and 2023, his cumulative citation count exceeds 125, reflecting a growing influence in medical robotics and human-robot interaction.

Research Focus

Key Achievements

7
H-Index
8
Papers
128
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy sliding mode control of a wearable rehabilitation robot for wrist and finger
31 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Tarbiat Modares University, Universität Hamburg, Hamburg University of Technology, University of Tehran

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago