Seyed Mohsen Towliat Kashani
Papers
4
Total Citations
81
H-Index
4
About
Seyed Mohsen Towliat Kashani is a pioneering researcher in medical tactile sensing and haptic robotics, with a focused application in breast cancer diagnostics. His work bridges mechanical engineering and clinical medicine to develop non-invasive tools that replicate and enhance the physician’s sense of touch. His major contributions include the design and development of the "Robotic Tactile Breast Mass Identifier" (Robo-Tac-BMI), a novel haptic robotic system that uses controlled indentation probes to detect, characterize, and three-dimensionally localize abnormal masses in breast tissue. Kashani’s research has produced several highly cited papers, including his foundational 2009 work on a tactile sensing instrument for detecting embedded objects (29 citations) and a 2011 study on a haptic robotic viscogram for characterizing breast tissue viscoelastic behavior (25 citations). His 2011 papers on tactile-guided mass detection and 3D localization (16 and 11 citations, respectively) further demonstrate his sustained impact. By integrating finite element modeling with robotic palpation, Kashani has advanced the accuracy and objectivity of clinical breast examinations, offering a promising pathway toward earlier and more reliable cancer detection.
Research Focus
Key Achievements
Top Papers
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