Mahta Khoshnam
Papers
11
Total Citations
224
H-Index
8
About
Mahta Khoshnam is a multidisciplinary robotics researcher whose work spans medical robotics, human-robot collaboration, and rehabilitation engineering. She is perhaps best known for her comprehensive two-part survey on visual servoing in medical robotics (2013–2014), which together have accumulated over 100 citations and remain foundational references for researchers working at the intersection of intraoperative imaging and autonomous surgical control. A significant thread of Khoshnam's research addresses the precise control of steerable ablation catheters for cardiac procedures. Through rigorous analysis of tendon-sheath transmission mechanisms and the development of robotics-assisted manipulation systems with real-time force estimation, she has contributed meaningful solutions to the long-standing challenges of catheter tip positioning and tissue contact quality during cardiac ablation — a minimally invasive treatment for arrhythmia. More recently, Khoshnam has expanded her focus to human-robot collaboration, developing machine learning-driven frameworks — including force myography and recurrent neural networks — for decoding human motor intent during shared tasks. Her work also extends into neurorehabilitation, where robot-aided proprioceptive training protocols show promise for stroke recovery. Across these diverse domains, Khoshnam consistently bridges engineering innovation with meaningful clinical and human-centered application.
Research Focus
Key Achievements
Top Papers
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- 8Safe Human Robot Cooperation in Task Performed on the Shared Load9 citations · 2019
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