Abbas A. Dehghani-Sanij
University of Leeds, Binzhou Medical University, Institute of Robotics
Papers
25
Total Citations
392
H-Index
11
About
Abbas A. Dehghani-Sanij is a distinguished researcher whose work bridges robotics, biomechanics, and human-machine interaction, with particular expertise in wearable assistive technologies and intelligent robotic systems. His most influential contribution — an EMG-driven musculoskeletal model for continuous wrist motion estimation (2020, 88 citations) — has advanced the field of assistive robotics by enabling more naturalistic, real-time control of prosthetic and rehabilitative devices. Complementing this, his probabilistic framework for identifying sit-to-stand transitions using a single wearable sensor (2018, 50 citations) demonstrated elegant solutions to complex motion-recognition challenges with direct clinical implications. Dehghani-Sanij has made significant strides in gait analysis and rehabilitation engineering, developing CNN-based walking activity recognition systems and intelligent ankle robots to address conditions such as foot drop. His earlier work on situation awareness in teleoperated systems (2010, 35 citations) and bio-inspired locomotion — including a *C. elegans*-inspired undulatory robot — reflects the remarkable breadth of his research vision. With contributions spanning exoskeleton design, tethered robot navigation, and wearable inertial sensing, his body of work consistently translates fundamental engineering insights into meaningful human-centered technologies, earning well over 300 cumulative citations across his career.
Research Focus
Key Achievements
Top Papers
- 1An EMG-Driven Musculoskeletal Model for Estimating Continuous Wrist Motion88 citations · 2020
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- 5Adaptive Undulatory Locomotion of a C. elegans Inspired Robot30 citations · 2012
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- 7Towards an intelligent wearable ankle robot for assistance to foot drop14 citations · 2019
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