Papers
3
Total Citations
112
H-Index
3
About
Mahdi Rasouli is a pioneering researcher at the intersection of neuromorphic engineering, tactile sensing, and robotic surgery. His work addresses fundamental challenges in artificial perception and minimally invasive procedures. Rasouli’s most impactful contribution is his development of an Extreme Learning Machine-based neuromorphic tactile sensing system for texture recognition, which has garnered 100 citations. This work draws inspiration from biological systems to create artificial tactile sensing that approaches human efficiency—a significant leap over conventional computational approaches. In the surgical domain, Rasouli has tackled critical barriers in Natural Orifice Transluminal Endoscopic Surgery (NOTES), specifically enhancing spatial orientation and haptic perception for master-slave robotic systems. His research on a through-the-scope intuitively controlled robotics-enhanced manipulator system for segmental hepatectomy demonstrates his commitment to translating engineering innovations into clinical practice. By combining neuromorphic computing with surgical robotics, Rasouli is helping to bridge the gap between biological and artificial sensing, with the potential to make NOTES safer and more intuitive for surgeons. His work exemplifies how bio-inspired engineering can solve real-world medical challenges.
Research Focus
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Top Papers
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